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Herbein M, Barbosa S, Collet O, Khalfallah O, Navarro M, Bailhache M, IV N, Aouizerate B, Sutter-Dallay AL, Koehl M, Capuron L, Ellul P, Peyre H, Van der Waerden J, Melchior M, Côté S, Heude B, Glaichenhaus N, Davidovic L, Galera C. Cord serum cytokines at birth and children's trajectories of mood dysregulation symptoms from 3 to 8 years: The EDEN birth cohort. Brain Behav Immun Health 2024; 38:100768. [PMID: 38586283 PMCID: PMC10990861 DOI: 10.1016/j.bbih.2024.100768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 03/28/2024] [Indexed: 04/09/2024] Open
Abstract
There is growing evidence that in utero imbalance immune activity plays a role in the development of neurodevelopmental and psychiatric disorders in children. Mood dysregulation (MD) is a debilitating transnosographic syndrome whose underlying pathophysiological mechanisms could be revealed by studying its biomarkers using the Research Domain Criteria (RDoC) model. Our aim was to study the association between the network of cord serum cytokines, and mood dysregulation trajectories in offsprings between 3 and 8 years of age. We used the data of a study nested in the French birth cohort EDEN that took place from 2003 to 2014 and followed mother-child dyads from the second trimester of pregnancy until the children were 8 years of age. The 2002 mother-child dyads were recruited from the general population through their pregnancy follow-up in two French university hospitals. 871 of them were included in the nested cohort and cord serum cytokine levels were measured at birth. Children's mood dysregulation symptoms were assessed with the Strengths and Difficulties Questionnaire Dysregulation Profile at the ages 3, 5 and 8 years in order to model their mood dysregulation trajectories. Out of the 871 participating dyads, 53% of the children were male. 2.1% of the children presented a high mood dysregulation trajectory whereas the others were considered as physiological variations. We found a significant negative association between TNF-α cord serum levels and a high mood dysregulation trajectory when considering confounding factors such as maternal depression during pregnancy (adjusted Odds Ratio (aOR) = 0.35, 95% Confidence Interval (CI) [0.18-0.67]). Immune imbalance at birth could play a role in the onset of mood dysregulation symptoms. Our findings throw new light on putative immune mechanisms implicated in the development of mood dysregulation and should lead to future animal and epidemiological studies.
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Affiliation(s)
- Marie Herbein
- University of Bordeaux, France
- INSERM, Bordeaux Population Health Center, UMR1219, France
- Centre Hospitalier Perrens, Bordeaux, France
| | - Susana Barbosa
- Université Côte d’Azur, Nice, France
- Centre National de Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Ophélie Collet
- University of Bordeaux, France
- Research Unit on Children's Psychosocial Maladjustment, Montreal, Canada
| | - Olfa Khalfallah
- Université Côte d’Azur, Nice, France
- Centre National de Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Marie Navarro
- University of Bordeaux, France
- INSERM, Bordeaux Population Health Center, UMR1219, France
| | - Marion Bailhache
- University of Bordeaux, France
- INSERM, Bordeaux Population Health Center, UMR1219, France
- Centre Hospitalier Universitaire de Bordeaux, Département de Pédiatrie, France
| | - Nicolas IV
- University of Bordeaux, France
- INSERM, Bordeaux Population Health Center, UMR1219, France
| | - Bruno Aouizerate
- University of Bordeaux, France
- Centre Hospitalier Perrens, Bordeaux, France
- INRAE, Bordeaux INP, NutriNeuro, UMR 1286, Bordeaux, France
| | - Anne-Laure Sutter-Dallay
- INSERM, Bordeaux Population Health Center, UMR1219, France
- Centre Hospitalier Perrens, Bordeaux, France
| | - Muriel Koehl
- University of Bordeaux, France
- INSERM, Neurocentre Magendie, UMR1215, Bordeaux, France
| | - Lucile Capuron
- University of Bordeaux, France
- INRAE, Bordeaux INP, NutriNeuro, UMR 1286, Bordeaux, France
| | - Pierre Ellul
- Robert Debré Hospital, Child and Adolescent department, APHP, Paris University, Paris, France
- Immunology-Immunopathology-Immunotherapy (i3), UMRS 959, INSERM, Paris, France
| | - Hugo Peyre
- Robert Debré Hospital, Child and Adolescent department, APHP, Paris University, Paris, France
- Centre de Ressource Autisme Languedoc-Roussillon et Centre d'Excellence sur l'Autisme et les Troubles du Neurodéveloppement (CeAND), CHU Montpellier, Montpellier, France
- Université Paris Saclay, UVSQ, Inserm, CESP, Tem DevPsy, 94807, Villejuif, France
| | - Judith Van der Waerden
- INSERM U1136, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Sorbonne Université, Équipe de Recherche en Épidémiologie Sociale, Paris, France
| | - Maria Melchior
- INSERM U1136, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Sorbonne Université, Équipe de Recherche en Épidémiologie Sociale, Paris, France
| | - Sylvana Côté
- University of Bordeaux, France
- INSERM, Bordeaux Population Health Center, UMR1219, France
- Research Unit on Children's Psychosocial Maladjustment, Montreal, Canada
- University of Montreal, Department of Social and Preventive Medicine, Montreal, Canada
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, F-75004, Paris, France
- Paris University, France
| | - Nicolas Glaichenhaus
- Université Côte d’Azur, Nice, France
- Centre National de Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
- Fondation FondaMental, Créteil, France
| | - Laetitia Davidovic
- Université Côte d’Azur, Nice, France
- Centre National de Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
- Fondation FondaMental, Créteil, France
| | - Cedric Galera
- University of Bordeaux, France
- INSERM, Bordeaux Population Health Center, UMR1219, France
- Centre Hospitalier Perrens, Bordeaux, France
- Research Unit on Children's Psychosocial Maladjustment, Montreal, Canada
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Yang S, Saïd M, Peyre H, Ramus F, Taine M, Law EC, Dufourg MN, Heude B, Charles MA, Bernard JY. Associations of screen use with cognitive development in early childhood: the ELFE birth cohort. J Child Psychol Psychiatry 2024; 65:680-693. [PMID: 37644361 DOI: 10.1111/jcpp.13887] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/04/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND The associations of screen use with children's cognition are not well evidenced and recent, large, longitudinal studies are needed. We aimed to assess the associations between screen use and cognitive development in the French nationwide birth cohort. METHODS Time and context of screen use were reported by parents at ages 2, 3.5 and 5.5. Vocabulary, non-verbal reasoning and general cognitive development were assessed with the MacArthur-Bates Communicative Development Inventory (MB) at age 2, the Picture Similarities subtest from the British Ability Scales (PS) at age 3.5 and the Child Development Inventory (CDI) at ages 3.5 and 5.5. Outcome variables were age-adjusted and standardized (mean = 100, SD = 15). Multiple imputations were performed among children (N = 13,763) with ≥1 screen use information and ≥1 cognitive measures. Cross-sectional and longitudinal associations between screen use and cognitive development were assessed by linear regression models adjusted for sociodemographic and birth factors related to the family and children, and children's lifestyle factors competing with screen use. Baseline cognitive scores were further considered in longitudinal analysis. RESULTS TV-on during family meals at age 2, not screen time, was associated with lower MB scores at age 2 (β [95% CI] = -1.67 [-2.21, -1.13]) and CDI scores at age 3.5 (-0.82 [-1.31, -0.33]). In cross-sectional analysis, screen time was negatively associated with CDI scores at ages 3.5 (-0.67 [-0.94, -0.40]) and 5.5 (-0.47 [-0.77, -0.16]), and, in contrast, was positively associated with PS scores (0.39 [0.07, 0.71]) at age 3.5. Screen time at age 3.5 years was not associated with CDI scores at age 5.5 years. CONCLUSIONS Our study found weak associations of screen use with cognition after controlling for sociodemographic and children's birth factors and lifestyle confounders, and suggests that the context of screen use matters, not solely screen time, in children's cognitive development.
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Affiliation(s)
- Shuai Yang
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre de Recherche en Épidémiologie et StatistiqueS (CRESS), Paris, France
| | - Mélèa Saïd
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre de Recherche en Épidémiologie et StatistiqueS (CRESS), Paris, France
| | - Hugo Peyre
- Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Ecole Normale Supérieure, PSL University, Paris, France
- Université Paris-Saclay, UVSQ, Inserm, CESP, Team DevPsy, Villejuif, France
- Centre de Ressources Autisme Languedoc-Roussillon et Centre d'Excellence sur l'Autisme et les Troubles Neuro-développementaux, CHU Montpellier, Montpellier cedex 05, France
| | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Ecole Normale Supérieure, PSL University, Paris, France
| | - Marion Taine
- EPI-PHARE (French National Agency for Medicines and Health Products Safety, ANSM; and French National Health Insurance, CNAM), Saint-Denis, France
| | - Evelyn C Law
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
- Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore City, Singapore
| | | | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre de Recherche en Épidémiologie et StatistiqueS (CRESS), Paris, France
| | - Marie-Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre de Recherche en Épidémiologie et StatistiqueS (CRESS), Paris, France
- Unité mixte Inserm-Ined-EFS ELFE, Ined, Aubervilliers, France
| | - Jonathan Y Bernard
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre de Recherche en Épidémiologie et StatistiqueS (CRESS), Paris, France
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
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3
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Omura M, Cortese S, Bailhache M, Navarro MC, Melchior M, van der Waerden J, Heude B, de Lauzon-Guillain B, Galera C. Associations between symptoms of attention-deficit hyperactivity disorder, socioeconomic status and asthma in children. Npj Ment Health Res 2024; 3:22. [PMID: 38627466 PMCID: PMC11021421 DOI: 10.1038/s44184-024-00064-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 03/15/2024] [Indexed: 04/19/2024]
Abstract
Socioeconomic status (SES) influences the risk of both physical diseases, such as asthma, and neurodevelopmental conditions, including attention-deficit/hyperactivity disorder (ADHD). Using Causal Mediation Analysis on French birth-cohort data, we found a causal pathway from SES to ADHD symptoms, in part mediated by asthma. An increase in family income at age 3 by one unit resulted in lower ADHD symptoms at age 5, by -0.37 [95% CI: -0.50, -0.24] SDQ-score-points, with additional -0.04 [95% CI: -0.08, -0.01] points reduction indirectly via asthma at age 3, both with statistical significance. Importantly, family income at age 3 exerted both direct and indirect (via asthma) negative effects on later ADHD symptoms with much higher magnitudes for the direct effect. Our findings underscore the importance of apprehending ADHD symptoms in the broader context of socioeconomic disparities, along with their comorbidities with asthma, potentially influencing public health interventions and clinical practice in managing ADHD.
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Affiliation(s)
- Makiko Omura
- Department of Economics, Faculty of Economics, Meiji Gakuin University, Minato-ku, Tokyo, Japan.
- Institut de Santé Publique d'Epidémiologie et de Développement, Université de Bordeaux, Bordeaux, France.
| | - Samuele Cortese
- Center for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK
- Solent NHS Trust, Southampton, UK
- Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York City, NY, USA
- DiMePRe-J-Department of Precision and Regenerative Medicine-Jonic Area, University "Aldo Moro", Bari, Italy
| | - Marion Bailhache
- Centre Hospitalier Universitaire de Bordeaux-Urgences Pédiatriques, Bordeaux, France
- INSERM, Bordeaux Population Health Centre, UMR1219, Bordeaux, France
| | - Marie C Navarro
- Institut de Santé Publique d'Epidémiologie et de Développement, Université de Bordeaux, Bordeaux, France
- INSERM, Bordeaux Population Health Centre, UMR1219, Bordeaux, France
| | - Maria Melchior
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), UMR S 1136, Équipe de Recherche en Épidémiologie Sociale, F-75012, Paris, France
| | - Judith van der Waerden
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), UMR S 1136, Équipe de Recherche en Épidémiologie Sociale, F-75012, Paris, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), F-75004, Paris, France
| | - Blandine de Lauzon-Guillain
- Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, Center for Research in Epidemiology and Statistics (CRESS), F-75004, Paris, France
| | - Cédric Galera
- Institut de Santé Publique d'Epidémiologie et de Développement, Université de Bordeaux, Bordeaux, France
- INSERM, Bordeaux Population Health Centre, UMR1219, Bordeaux, France
- Centre Hospitalier Perrens, Bordeaux, France
- Research Unit on Children's Psychosocial Maladjustment, Montreal, QC, Canada
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4
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Camier A, Cissé AH, Heude B, Nicklaus S, Chabanet C, Bernard JY, Lioret S, Charles MA, de Lauzon-Guillain B. Infant feeding practices and body mass index up to 7.5 years in the French nationwide ELFE study. Pediatr Obes 2024:e13121. [PMID: 38622765 DOI: 10.1111/ijpo.13121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/08/2024] [Accepted: 03/26/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND/OBJECTIVES The infant diet represents one of the main modifiable determinants of early growth. This study aimed to investigate the associations of infant feeding practices with body mass index (BMI) until 7.5 years. SUBJECTS/METHODS Analyses were based on data from the French nationwide ELFE birth cohort. Data on breastfeeding (BF) and complementary feeding (CF) were collected monthly from 2 to 10 months. Infant feeding practices were characterized using principal component analyses (PCA) and hierarchical ascendant classification. BMI z-score was computed at 1, 2, 3, 5 and 7.5 years, from data collected in the child's health booklet; 7.5-year overweight was defined according to IOTF references. Associations between infant feeding practices and BMI were investigated by linear regression models adjusted for main confounders. RESULTS Ever breastfeeding was not associated with BMI up to 7.5 years. Compared to intermediate breastfeeding duration (1 to <3 months), longer breastfeeding duration (≥6 months) was related to lower 1-year BMI, but not at older ages. Compared to the recommended age at CF introduction (4-6 months), early CF (<4 months) was related to higher BMI up to 5 years with a similar trend at 7.5 years, but not to the risk of overweight. The PCA patterns characterized by early baby cereal introduction and late food pieces introduction or by frequent intake of main food groups were related to a lower BMI up to 7.5 years. CONCLUSION Breastfeeding was related with a lower BMI in infancy but not thereafter, whereas an early CF initiation (<4 months) was associated with a higher BMI in childhood.
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Affiliation(s)
- Aurore Camier
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Aminata Hallimat Cissé
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Sophie Nicklaus
- Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, Dijon, France
| | - Claire Chabanet
- Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, Dijon, France
| | - Jonathan Y Bernard
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Sandrine Lioret
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Marie Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
- Unité mixte Inserm-Ined-EFS ELFE, Ined, Aubervilliers, France
| | - Blandine de Lauzon-Guillain
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
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5
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Avendano S, Moirangthem S, Taflet M, Heude B, Koehl M, van der Waerden J, Downes N. Prenatal maternal negative life events associated with child emotional and behavioral problems in the French EDEN cohort. J Affect Disord 2024; 356:224-232. [PMID: 38608762 DOI: 10.1016/j.jad.2024.04.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/25/2024] [Accepted: 04/09/2024] [Indexed: 04/14/2024]
Abstract
INTRODUCTION Prenatal negative life events (NLEs) have been linked to adverse health outcomes in children. However, few studies examine this relationship during late childhood using trajectory analyses. Additionally, the impact of specific NLEs domains on child development remains unclear. This study aims to longitudinally explore the association between NLEs (cumulative score and specific NLEs domains) and child outcomes from birth to late childhood. METHODS 1135 mother-child pairs from the French EDEN cohort were followed from 24 to 28 weeks of pregnancy up to 11 years of age. Maternal self-reports of prenatal NLEs were collected immediately after birth, then analyzed as a cumulative score and by NLEs domain. Children's emotional and behavioral symptoms were assessed at 4 timepoints through the Strengths and Difficulties Questionnaire. RESULTS Children of mothers exposed to ≥3 NLEs were more likely to follow trajectories of high levels of peer relationship problems (aOR [95 % CI] = 5.69 [1.74-18.69]), emotional symptoms (aOR [95 % CI] = 3.05 [1.08-8.63]), and conduct problems (aOR [95 %] = 3.53 [1.20-10.42]). Among the domains of NLEs, only events related to housing, finance, and living conditions were significantly associated with high emotional and behavioral difficulties trajectories (aOR [95%CI] = 2.71[1.26-5.81]). LIMITATIONS Potential attrition bias due to a higher dropout rate for children experiencing early indications of emotional and behavioral difficulties. CONCLUSION Findings support the relationship between prenatal NLEs and child outcomes, underscoring the importance of assessing prenatal stressors across life domains to identify mothers who might be in need of support.
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Affiliation(s)
- Sara Avendano
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Social Epidemiology Research Team, F 75012 Paris, France
| | - Simi Moirangthem
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Social Epidemiology Research Team, F 75012 Paris, France
| | - Muriel Taflet
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F 75004 Paris, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F 75004 Paris, France
| | - Muriel Koehl
- Universtié Bordeaux, INSERM, Neurocentre Magendie, U1215, Neurogenesis and Pathophysiology Group, 33000 Bordeaux, France
| | - Judith van der Waerden
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Social Epidemiology Research Team, F 75012 Paris, France.
| | - Naomi Downes
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Social Epidemiology Research Team, F 75012 Paris, France
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6
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Downes N, Kallas KA, Moirangthem S, Maguet C, Marr K, Tafflet M, Kirschbaum C, Heude B, Koehl M, Waerden JVD. Longitudinal effects of maternal depressive and anxious symptomatology on child hair cortisol and cortisone from pregnancy to 5-years: The EDEN mother-child cohort. Psychoneuroendocrinology 2024; 162:106957. [PMID: 38232529 DOI: 10.1016/j.psyneuen.2024.106957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/19/2024]
Abstract
Exposure to maternal depressive and anxious symptomatology in utero and after birth can affect child outcomes. One proposed mechanism is through changes in child stress hormone levels, however current studies present inconsistent findings, and further research is needed to better understand the impact of maternal mental health on child stress response. This study aims to add to the limited literature by analysing longitudinal data ranging from 24 weeks amenorrhea to 5 years postpartum among 281 mother-child pairs from the French EDEN mother-child birth cohort. Hair cortisol and cortisone data were collected from children at four time points: birth, 1, 3, and 5 years. Mothers reported depressive symptomatology via the Center for Epidemiologic Studies Depression Scale (CES-D) (at 24-weeks amenorrhea, 3-, and 5-year follow-up), and the Edinburgh Postnatal Depression Scale (EPDS) (at 4, 8 and 12 months postpartum). Prenatal anxiety symptomatology was measured via the State Anxiety Inventory (STAI) at 24 weeks amenorrhea. Group-based trajectory modelling indicated a 1-cluster classification of longitudinal child hair cortisol, cortisone and cortisol-to-cortisone ratio, as analyses did not reveal a classification by subgroups representing different child profiles. After inverse probability weighting, small effects showed prenatal depressive symptomatology was significantly associated to higher levels of child hair cortisone at one year. Prenatal anxiety symptomatology was significantly linked to higher levels of child cortisol measured at birth and cortisone at birth and at 1 year. Postpartum depressive symptomatology at 8 months was related to higher levels of cortisone among 3-year-olds. These effects were not moderated by child sex or maternal socio-economic status. Further research is needed to understand why there are associations at some time points and not others to determine any potential buffering factors.
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Affiliation(s)
- Naomi Downes
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), 75012 Paris, France.
| | - Kadri-Ann Kallas
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), 75012 Paris, France
| | - Simi Moirangthem
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), 75012 Paris, France
| | - Charlotte Maguet
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), 75012 Paris, France
| | - Ketevan Marr
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), 75012 Paris, France
| | - Muriel Tafflet
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004 Paris, France
| | - Clemens Kirschbaum
- Faculty of Psychology, Institute of Biopsychology, Technische Universität Dresden, 01062 Dresden, Germany
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004 Paris, France
| | - Muriel Koehl
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, Neurogenesis and Pathophysiology group, 3300 Bordeaux, France
| | - Judith van der Waerden
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), 75012 Paris, France
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7
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Bouton S, Chevallier C, Cissé AH, Heude B, Jacquet PO. Metabolic trade-offs in childhood: Exploring the relationship between language development and body growth. Dev Sci 2024:e13493. [PMID: 38497570 DOI: 10.1111/desc.13493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/19/2024]
Abstract
During human childhood, brain development and body growth compete for limited metabolic resources, resulting in a trade-off where energy allocated to brain development can decrease as body growth accelerates. This preregistered study explores the relationship between language skills, serving as a proxy for brain development, and body mass index at three distinct developmental stages, representing different phases of body growth. Longitudinal data from 2002 children in the EDEN mother-child cohort were analyzed using structural equation modeling. Our findings reveal a compelling pattern of associations: girls with a delayed adiposity rebound, signaling slower growth rate, demonstrated better language proficiency at ages 5-6. Importantly, this correlation appears to be specific to language skills and does not extend to nonverbal cognitive abilities. Exploratory analyses show that early environmental factors contributing to enhanced cognitive development, such as higher parental socio-economic status and increased cognitive stimulation, are positively associated with both language skills and the timing of adiposity rebound in girls. Overall, our findings lend support to the existence of an energy allocation trade-off mechanism that appears to prioritize language function over body growth investment in girls.
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Affiliation(s)
- Sophie Bouton
- Institut Pasteur, Université Paris Cité, Inserm, Institut de l'Audition, Paris, France
- Laboratoire de Sciences Cognitives et Psycholinguistique, Ecole Normale Supérieure, Université PSL, INSERM, Paris, France
| | - Coralie Chevallier
- LNC2, Département d'études cognitives, Ecole Normale Supérieure, Université PSL, INSERM, Paris, France
| | - Aminata Hallimat Cissé
- INSERM UMR 1153, Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Developmental Origins of Health and Disease (ORCHAD) Team, Paris Descartes University, Villejuif, France
| | - Barbara Heude
- INSERM UMR 1153, Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Developmental Origins of Health and Disease (ORCHAD) Team, Paris Descartes University, Villejuif, France
| | - Pierre O Jacquet
- LNC2, Département d'études cognitives, Ecole Normale Supérieure, Université PSL, INSERM, Paris, France
- Centre de recherche en épidémiologie et santé des populations, Inserm U1018, université Paris-Saclay, université Versailles Saint-Quentin, Paris, France
- Institut du Psychotraumatisme de l'Enfant et de l'Adolescent, Conseil Départemental Yvelines et Hauts-de-Seine et Centre Hospitalier des Versailles, Versailles, France
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Sabanayagam C, Sabbaghi H, Sacchini E, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saghi MH, Saidi O, Saieva C, Sakata S, Saki N, Šalaj S, Salanave B, Salazar Martinez E, Salhanova A, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Samoutian M, Sánchez-Abanto J, Sánchez Rodríguez I, Sandjaja, Sans S, Santa-Marina L, Santacruz E, Santos DA, Santos IS, Santos LC, Santos MP, Santos O, Santos R, Santos TR, Saramies JL, Sardinha LB, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Savy M, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt B, Schmidt CO, Schmidt IM, Schneider A, Schnohr P, Schöttker B, Schramm S, Schramm S, Schröder H, Schultsz C, Schultz G, Schulze MB, Schutte AE, Sebert S, Sedaghattalab M, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera G, Serra-Majem L, Servais J, Ševčíková Ľ, Sewpaul R, Shalnova S, Shamah-Levy T, Shamshirgaran SM, Shanthirani CS, Sharafkhah M, Sharma SK, Sharman A, Shaw JE, Shayanrad A, Shayesteh AA, Shengelia L, Shi Z, Shibuya K, Shimizu-Furusawa H, Shimony T, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Sidossis LS, Silitrari N, Silva AM, Silva CRDM, Silva DAS, Silva KS, Sim X, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skoblina EV, Skoblina NA, Slazhnyova T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobek G, Sobngwi E, Sodemann M, Söderberg S, Soekatri MYE, Soemantri A, Sofat R, Solfrizzi V, Solovieva YV, Somi MH, Sonestedt E, Song Y, Soofi S, Sørensen TIA, Sørgjerd EP, Sossa Jérome C, Soto-Rojas VE, Soumaré A, Sousa-Poza A, Sovic S, Sparboe-Nilsen B, Sparrenberger K, Spencer PR, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stang A, Starc G, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Steinsbekk S, Stergiou GS, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Suarez-Ortegón MF, Suebsamran P, Sugiyama M, Suka M, Sulo G, Sun CA, Sun L, Sund M, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Sweis NWG, Swinburn BA, Sy RG, Sylva RC, Szponar L, Tabone L, Tai ES, Takuro F, Tambalis KD, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanrygulyyeva M, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taxová Braunerová R, Taylor A, Taylor J, Tchibindat F, Te Velde S, Tebar WR, Tell GS, Tello T, Tessema M, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thorand B, Thrift AG, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolonen HK, Tolstrup JS, Tomaszewski M, Topbas M, Topór-Mądry R, Torheim LE, Tornaritis MJ, Torrent M, Torres-Collado L, Toselli S, Touloumi G, Traissac P, Tran TTH, Tremblay MS, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsigga M, Tsintavis P, Tsugane S, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Twig G, Tynelius P, Tzala E, Tzotzas T, Tzourio C, Udoji N, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Unal B, Usupova Z, Uusitalo HMT, Uysal N, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Lippevelde W, Van Minh H, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varela-Moreiras G, Vargas LN, Varona-Pérez P, Vasan SK, Vasques DG, Vatasescu R, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Verloigne M, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vik FN, Vilar M, Villalpando S, Vioque J, Viriyautsahakul N, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Vourli G, Voutilainen A, Vrijheid M, Vrijkotte TGM, Vuletić S, Wade AN, Waldhör T, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang C, Wang H, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wartha O, Weber A, Wedderkopp N, Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wichstrøm L, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wirth JP, Wojtyniak B, Woldeyohannes M, Wolf K, Wong-McClure RA, Wong A, Wong EB, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu HY, Wu J, Wu LJ, Wu S, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan L, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, Yépez García M, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, Yotov Y, You QS, You SL, Younger-Coleman NO, Yu YL, Yu Y, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zayed AA, Zdrojewski T, Żegleń M, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zentai A, Zhang B, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zimmet P, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Zuziak M, Ezzati M. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet 2024; 403:1027-1050. [PMID: 38432237 PMCID: PMC7615769 DOI: 10.1016/s0140-6736(23)02750-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/22/2023] [Accepted: 12/05/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. METHODS We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5-19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school-aged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (BMI >2 SD above the median). FINDINGS From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. INTERPRETATION The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesity. FUNDING UK Medical Research Council, UK Research and Innovation (Research England), UK Research and Innovation (Innovate UK), and European Union.
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Guellec I, Brunet A, Lapillonne A, Taine M, Torchin H, Favrais G, Gascoin G, Simon L, Heude B, Scherdel P, Kayem G, Delorme P, Jarreau PH, Ancel PY. Birth weight and head circumference discordance and outcome in preterms: results from the EPIPAGE-2 cohort. Arch Dis Child 2024:archdischild-2023-326336. [PMID: 38408861 DOI: 10.1136/archdischild-2023-326336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 02/19/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVE To determine whether the relative measurement of birth weight (BW) and head circumference (HC) in preterm infants is associated with neurological outcomes. METHODS The EPIPAGE-2 Study included 3473 infants born before 32 weeks' gestation, classified based on their Z-score of BW and HC on the Fenton curves as concordant (≤1 SD apart) or discordant (>1 SD difference). We defined four mutually exclusive categories: discordant smaller BW (sBW) with BW-1SD and concordant small measurement (CsM) with BW and HC concordant and both ≤-1SD. Neurological outcomes at 5.5 years were evaluated with standard tests. RESULTS 2592 (74.8%) preterm neonates were categorised as CM, 258 (7.4%) CsM, 378 (10.9%) sHC and 239 (6.9%) sBW. Compared with the CM children, those born with CsM had significantly higher risks of cognitive deficiency (adjusted OR (aOR) 1.3, 95% CI (1.0 to 2.0)), developmental coordination disorders (aOR 2.6 (1.5 to 4.4)) and need for special school services (aOR 2.3 (1.5 to 3.7)). Those born with sBW had significantly lower risk of cognitive deficiency (aOR 0.6 (0.4 to 0.9)) and the sHC group significantly higher risk of developmental coordination disorders (aOR 1.8 (1.0 to 3.2)). CONCLUSIONS The relative discordance of these preterm infants' BW and HC was associated with their neurological outcomes. It merits further exploration as an indirect indicator of development. TRIAL REGISTRATION NUMBER NCT03078439.
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Affiliation(s)
- Isabelle Guellec
- Epope Team, Epidemiology and Statistics Research Center/CRESS, Université de Paris, Paris, France
- Neonatal Intensive Care, Nice Cote d'Azur University Hospital, Nice, France
| | - Adelaide Brunet
- Neonatal Intensive Care Unit, Port Royal University Hospital, Assistance publique Hopitaux de Paris, Paris, France
| | | | - Marion Taine
- Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), INSERM, Paris, France
| | - Héloïse Torchin
- Epope Team, Epidemiology and Statistics Research Center/CRESS, Université de Paris, Paris, France
- Neonatal Intensive Care Unit, Port Royal University Hospital, Assistance publique Hopitaux de Paris, Paris, France
| | - Geraldine Favrais
- Department of Neonatal Medicine, Centre Hospitalier Regional Universitaire de Tours, Tours, France
| | - Géraldine Gascoin
- Neonatal Intensive Care, University Hospital Centre Toulouse, Toulouse, France
| | - Laure Simon
- Department of Neonatalogy, CHU Nantes, Nantes, France
- INRAE, UMR 1280, Physiologie des Adaptations Nutritionnelles, Nantes University, Nantes, France
| | - Barbara Heude
- Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), INSERM, Paris, France
| | - Pauline Scherdel
- Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), INSERM, Paris, France
| | - Gilles Kayem
- Epope Team, Epidemiology and Statistics Research Center/CRESS, Université de Paris, Paris, France
- Department of Gynecology and Obstetrics, Hôpital Armand Trousseau, APHP, Sorbonne University, Paris, France
| | - Pierre Delorme
- Epope Team, Epidemiology and Statistics Research Center/CRESS, Université de Paris, Paris, France
- Department of Gynecology and Obstetrics, Hôpital Armand Trousseau, APHP, Sorbonne University, Paris, France
| | - Pierre-Henri Jarreau
- Epope Team, Epidemiology and Statistics Research Center/CRESS, Université de Paris, Paris, France
- Neonatal Intensive Care Unit, Port Royal University Hospital, Assistance publique Hopitaux de Paris, Paris, France
| | - Pierre-Yves Ancel
- Epope Team, Epidemiology and Statistics Research Center/CRESS, Université de Paris, Paris, France
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Le Gal C, Lecorguillé M, Poncet L, Cissé AH, Gassama M, Simeon T, Lanoë JL, Melchior M, Bernard JY, Charles MA, Heude B, Lioret S. Author Correction: Social patterning of childhood overweight in the French national ELFE cohort. Sci Rep 2024; 14:3041. [PMID: 38321171 PMCID: PMC10847121 DOI: 10.1038/s41598-024-53416-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024] Open
Affiliation(s)
- Camille Le Gal
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France.
| | - Marion Lecorguillé
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Lorraine Poncet
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Aminata Hallimat Cissé
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | | | | | | | | | - Jonathan Y Bernard
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Marie-Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
- UMS INED-INSERM-EFS, Paris, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France.
| | - Sandrine Lioret
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France.
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Guerlich K, Avraam D, Cadman T, Calas L, Charles MA, Elhakeem A, Fernández-Barrés S, Guxens M, Heude B, Ibarluzea J, Inskip H, Julvez J, Lawlor DA, Murcia M, Salika T, Sunyer J, Tafflet M, Koletzko B, Grote V, Plancoulaine S. Sleep duration in preschool age and later behavioral and cognitive outcomes: an individual participant data meta-analysis in five European cohorts. Eur Child Adolesc Psychiatry 2024; 33:167-177. [PMID: 36749392 PMCID: PMC10805899 DOI: 10.1007/s00787-023-02149-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 01/22/2023] [Indexed: 02/08/2023]
Abstract
Short sleep duration has been linked to adverse behavioral and cognitive outcomes in schoolchildren, but few studies examined this relation in preschoolers. We aimed to investigate the association between parent-reported sleep duration at 3.5 years and behavioral and cognitive outcomes at 5 years in European children. We used harmonized data from five cohorts of the European Union Child Cohort Network: ALSPAC, SWS (UK); EDEN, ELFE (France); INMA (Spain). Associations were estimated through DataSHIELD using adjusted generalized linear regression models fitted separately for each cohort and pooled with random-effects meta-analysis. Behavior was measured with the Strengths and Difficulties Questionnaire. Language and non-verbal intelligence were assessed by the Wechsler Preschool and Primary Scale of Intelligence or the McCarthy Scales of Children's Abilities. Behavioral and cognitive analyses included 11,920 and 2981 children, respectively (34.0%/13.4% of the original sample). In meta-analysis, longer mean sleep duration per day at 3.5 years was associated with lower mean internalizing and externalizing behavior percentile scores at 5 years (adjusted mean difference: - 1.27, 95% CI [- 2.22, - 0.32] / - 2.39, 95% CI [- 3.04, - 1.75]). Sleep duration and language or non-verbal intelligence showed trends of inverse associations, however, with imprecise estimates (adjusted mean difference: - 0.28, 95% CI [- 0.83, 0.27] / - 0.42, 95% CI [- 0.99, 0.15]). This individual participant data meta-analysis suggests that longer sleep duration in preschool age may be important for children's later behavior and highlight the need for larger samples for robust analyses of cognitive outcomes. Findings could be influenced by confounding or reverse causality and require replication.
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Affiliation(s)
- Kathrin Guerlich
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital Munich, Lindwurmstr. 4, 80337, Munich, Germany
| | - Demetris Avraam
- Population Health Sciences Institute, Newcastle University, Newcastle, UK
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tim Cadman
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lucinda Calas
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Marie-Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
- Ined, Inserm, Joint unit Elfe, Aubervilliers, France
| | - Ahmed Elhakeem
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Silvia Fernández-Barrés
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Mònica Guxens
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Jesús Ibarluzea
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, 20014, San Sebastian, Spain
- Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastian, Spain
- Faculty of Psychology of the University of the Basque Country, 20018, San Sebastian, Spain
| | - Hazel Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Jordi Julvez
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Clinical and Epidemiological Neuroscience Group (NeuroÈpia), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus (Tarragona), Catalonia, Spain
| | - Deborah A Lawlor
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Mario Murcia
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
- Servicio de Análisis de Sistemas de Información Sanitaria, Conselleria de Sanitat, Generalitat Valenciana, Valencia, Spain
| | - Theodosia Salika
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain
- Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
- Parc de Salut Mar, Barcelona, Catalonia, Spain
| | - Muriel Tafflet
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital Munich, Lindwurmstr. 4, 80337, Munich, Germany
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital Munich, Lindwurmstr. 4, 80337, Munich, Germany.
| | - Sabine Plancoulaine
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France.
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12
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Le Gal C, Lecorguillé M, Poncet L, Cissé AH, Gassama M, Simeon T, Lanoë JL, Melchior M, Bernard JY, Charles MA, Heude B, Lioret S. Social patterning of childhood overweight in the French national ELFE cohort. Sci Rep 2023; 13:21975. [PMID: 38081843 PMCID: PMC10713558 DOI: 10.1038/s41598-023-48431-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
An inverse social gradient in early childhood overweight has been consistently described in high-income countries; however, less is known about the role of migration status. We studied the social patterning of overweight in preschool children according to the mother's socio-economic and migration background. For 9250 children of the French ELFE birth cohort with body mass index collected at age 3.5 years, we used nested logistic regression to investigate the association of overweight status in children with maternal educational level, occupation, household income and migration status. Overall, 8.3% (95%CI [7.7-9.0]) of children were classified as overweight. The odds of overweight was increased for children from immigrant mothers (OR 2.22 [95% CI 1.75-2.78]) and descendants of immigrant mothers (OR 1.35 [1.04-2.78]) versus non-immigrant mothers. The highest odds of overweight was also observed in children whose mothers had low education, were unemployed or students, or were from households in the lowest income quintile. Our findings confirm that socio-economic disadvantage and migration status are risk factors for childhood overweight. However, the social patterning of overweight did not apply uniformly to all variables. These new and comprehensive insights should inform future public health interventions aimed at tackling social inequalities in childhood overweight.
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Affiliation(s)
- Camille Le Gal
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France.
| | - Marion Lecorguillé
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Lorraine Poncet
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Aminata Hallimat Cissé
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | | | | | | | | | - Jonathan Y Bernard
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Marie-Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
- UMS INED-INSERM-EFS, Paris, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France.
| | - Sandrine Lioret
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France.
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13
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Choudhary P, Monasso GS, Karhunen V, Ronkainen J, Mancano G, Howe CG, Niu Z, Zeng X, Guan W, Dou J, Feinberg JI, Mordaunt C, Pesce G, Baïz N, Alfano R, Martens DS, Wang C, Isaevska E, Keikkala E, Mustaniemi S, Thio CHL, Fraszczyk E, Tobi EW, Starling AP, Cosin-Tomas M, Urquiza J, Röder S, Hoang TT, Page C, Jima DD, House JS, Maguire RL, Ott R, Pawlow X, Sirignano L, Zillich L, Malmberg A, Rauschert S, Melton P, Gong T, Karlsson R, Fore R, Perng W, Laubach ZM, Czamara D, Sharp G, Breton CV, Schisterman E, Yeung E, Mumford SL, Fallin MD, LaSalle JM, Schmidt RJ, Bakulski KM, Annesi-Maesano I, Heude B, Nawrot TS, Plusquin M, Ghantous A, Herceg Z, Nisticò L, Vafeiadi M, Kogevinas M, Vääräsmäki M, Kajantie E, Snieder H, Corpeleijn E, Steegers-Theunissen RPM, Yang IV, Dabelea D, Fossati S, Zenclussen AC, Herberth G, Magnus M, Håberg SE, London SJ, Munthe-Kaas MC, Murphy SK, Hoyo C, Ziegler AG, Hummel S, Witt SH, Streit F, Frank J, Räikkönen K, Lahti J, Huang RC, Almqvist C, Hivert MF, Jaddoe VWV, Järvelin MR, Kantomaa M, Felix JF, Sebert S. Maternal educational attainment in pregnancy and epigenome-wide DNA methylation changes in the offspring from birth until adolescence. Mol Psychiatry 2023:10.1038/s41380-023-02331-5. [PMID: 38052982 DOI: 10.1038/s41380-023-02331-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 11/07/2023] [Accepted: 11/15/2023] [Indexed: 12/07/2023]
Abstract
Maternal educational attainment (MEA) shapes offspring health through multiple potential pathways. Differential DNA methylation may provide a mechanistic understanding of these long-term associations. We aimed to quantify the associations of MEA with offspring DNA methylation levels at birth, in childhood and in adolescence. Using 37 studies from high-income countries, we performed meta-analysis of epigenome-wide association studies (EWAS) to quantify the associations of completed years of MEA at the time of pregnancy with offspring DNA methylation levels at birth (n = 9 881), in childhood (n = 2 017), and adolescence (n = 2 740), adjusting for relevant covariates. MEA was found to be associated with DNA methylation at 473 cytosine-phosphate-guanine sites at birth, one in childhood, and four in adolescence. We observed enrichment for findings from previous EWAS on maternal folate, vitamin-B12 concentrations, maternal smoking, and pre-pregnancy BMI. The associations were directionally consistent with MEA being inversely associated with behaviours including smoking and BMI. Our findings form a bridge between socio-economic factors and biology and highlight potential pathways underlying effects of maternal education. The results broaden our understanding of bio-social associations linked to differential DNA methylation in multiple early stages of life. The data generated also offers an important resource to help a more precise understanding of the social determinants of health.
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Affiliation(s)
- Priyanka Choudhary
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland.
| | - Giulietta S Monasso
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Ville Karhunen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
- Research Unit of Mathematical Sciences, Faculty of Science, University of Oulu, Oulu, Finland
| | - Justiina Ronkainen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
| | - Giulia Mancano
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
| | - Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, 55455, USA
| | - John Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jason I Feinberg
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
| | - Charles Mordaunt
- Department of Medical Micriobiology and Immunology, University of California Davis, Davis, CA, USA
| | - Giancarlo Pesce
- Epidemiology of Allergic and Respiratory Diseases (EPAR) team, Faculté de Médecine Saint-Antoine, Institute Pierre Louis d'Epidemiologie et Sante Publique (IPLESP), Sorbonne Université and INSERM, Paris, France
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health (CESP), INSERM, Villejuif, France
| | - Nour Baïz
- Institute Desbrest of Epidemiology and Public Health, University of Montpellier and INSERM, Montpellier, France
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Dries S Martens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Congrong Wang
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Elena Isaevska
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Torino, Italy
| | - Elina Keikkala
- Department of Obstetrics and Gynaecology, Research Unit of Clinical Medicine, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
- Finnish Institute for Health and Welfare, Population Health Unit, Public Health and Welfare, Helsinki and Oulu, Finland
| | - Sanna Mustaniemi
- Department of Obstetrics and Gynaecology, Research Unit of Clinical Medicine, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
- Finnish Institute for Health and Welfare, Population Health Unit, Public Health and Welfare, Helsinki and Oulu, Finland
| | - Chris H L Thio
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Eliza Fraszczyk
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Elmar W Tobi
- Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus MC, University Medical Center, 3000 CA, Rotterdam, the Netherlands
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Marta Cosin-Tomas
- ISGlobal (Barcelona Institute for Global Health), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jose Urquiza
- ISGlobal (Barcelona Institute for Global Health), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Stefan Röder
- Department for Environmental Immunology, Helmholtz Centre for Environmental Research, UFZ, Leipzig, Germany
| | - Thanh T Hoang
- Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Christian Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Oslo Centre for Biostatistics and Epidemiology, Section for Research Support, Oslo University Hospital, Oslo, Norway
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, 27606, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, 27606, USA
| | - John S House
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, 27606, USA
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC, 27709, USA
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, 27701, USA
| | - Raffael Ott
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes eV, Neuherberg, Germany
| | - Xenia Pawlow
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes eV, Neuherberg, Germany
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Anni Malmberg
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | - Phillip Melton
- Menzies Institute of Medical Research, University of Tasmania, Hobart, TAS, Australia
- University of Western Australia, School of Population and Global Health, Perth, WA, Australia
| | - Tong Gong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ruby Fore
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Wei Perng
- Department of Epidemiology and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Zachary M Laubach
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Darina Czamara
- Department Genes and Environment, Max Planck Institute for Psychiatry, Kraepelinstrasse 2+10, 80804, Munich, Germany
| | - Gemma Sharp
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
- School of Psychology, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Carrie V Breton
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Enrique Schisterman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edwina Yeung
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, 20817, USA
| | - Sunni L Mumford
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, 20817, USA
| | - M Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
| | - Janine M LaSalle
- Department of Medical Micriobiology and Immunology, University of California Davis, Davis, CA, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences, School of Medicine, University of California Davis (UC Davis), Davis, CA, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Isabella Annesi-Maesano
- Institute Desbrest of Epidemiology and Public Health, University of Montpellier and INSERM, Montpellier, France
| | - Barbara Heude
- Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS), F-75004, Paris, France
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Akram Ghantous
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France
| | - Zdenko Herceg
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France
| | - Lorenza Nisticò
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Viale Regina Elena, Rome, Italy
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Manolis Kogevinas
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Centro de Investigación Biomédicaen Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marja Vääräsmäki
- Department of Obstetrics and Gynaecology, Research Unit of Clinical Medicine, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
- Finnish Institute for Health and Welfare, Population Health Unit, Public Health and Welfare, Helsinki and Oulu, Finland
| | - Eero Kajantie
- Finnish Institute for Health and Welfare, Population Health Unit, Public Health and Welfare, Helsinki and Oulu, Finland
- Clinical Medicine Research Unit, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Regine P M Steegers-Theunissen
- Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus MC, University Medical Center, 3000 CA, Rotterdam, the Netherlands
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Serena Fossati
- ISGlobal (Barcelona Institute for Global Health), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ana C Zenclussen
- Department for Environmental Immunology, Helmholtz Centre for Environmental Research, UFZ, Leipzig, Germany
| | - Gunda Herberth
- Department for Environmental Immunology, Helmholtz Centre for Environmental Research, UFZ, Leipzig, Germany
| | - Maria Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Stephanie J London
- Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Monica Cheng Munthe-Kaas
- Department of Pediatrics, Oncology and Hematology, Oslo University Hospital, Oslo, Norway
- Norwegian Institute of Public Health, Oslo, Norway
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, 27701, USA
| | - Cathrine Hoyo
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, 27606, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes eV, Neuherberg, Germany
- Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany
| | - Sandra Hummel
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes eV, Neuherberg, Germany
- Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Center for Innovative Psychiatric and Psychotherapeutic Research, Biobank, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Rae-Chi Huang
- Telethon Kids Institute, Perth, WA, Australia
- Edith Cowan University, School of Medicine and Health Sciences, Joondalup, WA, Australia
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Marjo-Riitta Järvelin
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Marko Kantomaa
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Sylvain Sebert
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
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14
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Anguita-Ruiz A, Amine I, Stratakis N, Maitre L, Julvez J, Urquiza J, Luo C, Nieuwenhuijsen M, Thomsen C, Grazuleviciene R, Heude B, McEachan R, Vafeiadi M, Chatzi L, Wright J, Yang TC, Slama R, Siroux V, Vrijheid M, Basagaña X. Beyond the single-outcome approach: A comparison of outcome-wide analysis methods for exposome research. Environ Int 2023; 182:108344. [PMID: 38016387 DOI: 10.1016/j.envint.2023.108344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/16/2023] [Accepted: 11/20/2023] [Indexed: 11/30/2023]
Abstract
Outcome-wide analysis can offer several benefits, including increased power to detect weak signals and the ability to identify exposures with multiple effects on health, which may be good targets for preventive measures. Recently, advanced statistical multivariate techniques for outcome-wide analysis have been developed, but they have been rarely applied to exposome analysis. In this work, we provide an overview of a selection of methods that are well-suited for outcome-wide exposome analysis and are implemented in the R statistical software. Our work brings together six different methods presenting innovative solutions for typical problems arising from outcome-wide approaches in the context of the exposome, including dependencies among outcomes, high dimensionality, mixed-type outcomes, missing data records, and confounding effects. The identified methods can be grouped into four main categories: regularized multivariate regression techniques, multi-task learning approaches, dimensionality reduction approaches, and bayesian extensions of the multivariate regression framework. Here, we compare each technique presenting its main rationale, strengths, and limitations, and provide codes and guidelines for their application to exposome data. Additionally, we apply all selected methods to a real exposome dataset from the Human Early-Life Exposome (HELIX) project, demonstrating their suitability for exposome research. Although the choice of the best method will always depend on the challenges to be faced in each application, for an exposome-like analysis we find dimensionality reduction and bayesian methods such as reduced rank regression (RRR) or multivariate bayesian shrinkage priors (MBSP) particularly useful, given their ability to deal with critical issues such as collinearity, high-dimensionality, missing data or quantification of uncertainty.
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Affiliation(s)
- Augusto Anguita-Ruiz
- ISGlobal, 08003 Barcelona, Spain; CIBEROBN (CIBER Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Ines Amine
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | | | - Lea Maitre
- ISGlobal, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Jordi Julvez
- ISGlobal, 08003 Barcelona, Spain; CIBEROBN (CIBER Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020 Valencia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Clinical and Epidemiological Neuroscience Group (NeuroÈpia), 43204 Reus (Tarragona), Catalonia, Spain
| | | | - Chongliang Luo
- Division of Public Health Sciences, Washington University School of Medicine in St. Louis, 600 S Taylor Ave, St. Louis, MO 63110, USA
| | - Mark Nieuwenhuijsen
- ISGlobal, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Cathrine Thomsen
- Department of Food Safety, Norwegian Institute of Public Health (NIPH), Oslo, Norway
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248 Kaunas, Lithuania
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Leda Chatzi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany C Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rémy Slama
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | - Valérie Siroux
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | - Martine Vrijheid
- ISGlobal, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Xavier Basagaña
- ISGlobal, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
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15
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Descarpentrie A, Calas L, Cornet M, Heude B, Charles MA, Avraam D, Brescianini S, Cadman T, Elhakeem A, Fernández-Barrés S, Harris JR, Inskip H, Julvez J, Llop S, Margetaki K, Maritano S, Nader JLT, Roumeliotaki T, Salika T, Subiza-Pérez M, Vafeiadi M, Vrijheid M, Wright J, Yang T, Dargent-Molina P, Lioret S. Lifestyle patterns in European preschoolers: Associations with socio-demographic factors and body mass index. Pediatr Obes 2023; 18:e13079. [PMID: 37795656 DOI: 10.1111/ijpo.13079] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/30/2023] [Accepted: 09/16/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND Energy balance-related behaviours (EBRBs), that is, dietary intake, screen, outdoor play and sleep, tend to combine into 'lifestyle patterns', with potential synergistic influences on health. To date, studies addressing this theme mainly focused on school children and rarely accounted for sleep, with a cross-country perspective. OBJECTIVES We aimed at comparing lifestyle patterns among preschool-aged children across Europe, their associations with socio-demographic factors and their links with body mass index (BMI). METHODS Harmonized data on 2-5-year-olds participating in nine European birth cohorts from the EU Child Cohort Network were used (EBRBs, socio-demographics and anthropometrics). Principal component analysis and multivariable linear and logistic regressions were performed. RESULTS The most consistent pattern identified across cohorts was defined by at least three of the following EBRBs: discretionary consumption, high screen time, low outdoor play time and low sleep duration. Consistently, children from low-income households and born to mothers with low education level had higher scores on this pattern compared to their socioeconomically advantaged counterparts. Furthermore, it was associated with higher BMI z-scores in the Spanish and Italian cohorts (β = 0.06, 95% CI = [0.02; 0.10], both studies). CONCLUSION These findings may be valuable in informing early multi-behavioural interventions aimed at reducing social inequalities in health at a European scale.
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Affiliation(s)
- Alexandra Descarpentrie
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Lucinda Calas
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Maxime Cornet
- Télécom-Paris, Département SES, Institut Polytechnique de Paris, Palaiseau Cedex, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Marie-Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Demetris Avraam
- Department of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Sonia Brescianini
- Centre of Behavioral Science and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Tim Cadman
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Ahmed Elhakeem
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sílvia Fernández-Barrés
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Agència de Salut Pública de Barcelona, Barcelona, Spain
| | - Jennifer R Harris
- Centre for Fertility and Health, The Norwegian Institute of Public Health, Oslo, Norway
| | - Hazel Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Jordi Julvez
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Clinical and Epidemiological Neuroscience Group (NeuroÈpia), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Sabrina Llop
- CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de Valencia, Valencia, Spain
| | - Katerina Margetaki
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Silvia Maritano
- Cancer Epidemiology Unit-Department of Medical Sciences, University of Turin, Turin, Italy
- University School for Advanced Studies IUSS Pavia, Pavia PV, Italy
| | - Johanna Lucia Thorbjornsrud Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Theano Roumeliotaki
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Theodosia Salika
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Mikel Subiza-Pérez
- CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical and Health Psychology and Research Methods, University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Patricia Dargent-Molina
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Sandrine Lioret
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
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16
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Cadman T, Elhakeem A, Vinther JL, Avraam D, Carrasco P, Calas L, Cardo M, Charles MA, Corpeleijn E, Crozier S, de Castro M, Estarlich M, Fernandes A, Fossatti S, Gruszfeld D, Gurlich K, Grote V, Haakma S, Harris JR, Heude B, Huang RC, Ibarluzea J, Inskip H, Jaddoe V, Koletzko B, Luque V, Manios Y, Moirano G, Moschonis G, Nader J, Nieuwenhuijsen M, Andersen AMN, McEachen R, de Moira AP, Popovic M, Roumeliotaki T, Salika T, Marina LS, Santos S, Serbert S, Tzorovili E, Vafeiadi M, Verduci E, Vrijheid M, Vrijkotte TGM, Welten M, Wright J, Yang TC, Zugna D, Lawlor D. Associations of Maternal Educational Level, Proximity to Greenspace During Pregnancy, and Gestational Diabetes With Body Mass Index From Infancy to Early Adulthood: A Proof-of-Concept Federated Analysis in 18 Birth Cohorts. Am J Epidemiol 2023:kwad206. [PMID: 37856700 DOI: 10.1093/aje/kwad206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 04/06/2023] [Indexed: 10/21/2023] Open
Abstract
International sharing of cohort data for research is important and challenging. We explored the feasibility of multi-cohort federated analyses by examining associations between three pregnancy exposures (maternal education, exposure to green vegetation and gestational diabetes) with offspring BMI from infancy to 17 years. We used data from 18 cohorts (n=206,180 mother-child pairs) from the EU Child Cohort Network and derived BMI at ages 0-1, 2-3, 4-7, 8-13 and 14-17 years. Associations were estimated using linear regression via one-stage IPD meta-analysis using DataSHIELD. Associations between lower maternal education and higher child BMI emerged from age 4 and increased with age (difference in BMI z-score comparing low with high education age 2-3 years = 0.03 [95% CI 0.00, 0.05], 4-7 years = 0.16 [95% CI 0.14, 0.17], 8-13 years = 0.24 [95% CI 0.22, 0.26]). Gestational diabetes was positively associated with BMI from 8 years (BMI z-score difference = 0.18 [CI 0.12, 0.25]) but not at younger ages; however associations attenuated towards the null when restricted to cohorts which measured GDM via universal screening. Exposure to green vegetation was weakly associated with higher BMI up to age one but not at older ages. Opportunities of cross-cohort federated analyses are discussed.
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17
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Guilbert A, Bernard JY, Peyre H, Costet N, Hough I, Seyve E, Monfort C, Philippat C, Slama R, Kloog I, Chevrier C, Heude B, Ramus F, Lepeule J. Prenatal and childhood exposure to ambient air pollution and cognitive function in school-age children: Examining sensitive windows and sex-specific associations. Environ Res 2023; 235:116557. [PMID: 37423370 DOI: 10.1016/j.envres.2023.116557] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/16/2023] [Accepted: 07/03/2023] [Indexed: 07/11/2023]
Abstract
BACKGROUND Combined effect of both prenatal and early postnatal exposure to ambient air pollution on child cognition has rarely been investigated and periods of sensitivity are unknown. This study explores the temporal relationship between pre- and postnatal exposure to PM10, PM2.5, NO2 and child cognitive function. METHODS Using validated spatiotemporally resolved exposure models, pre- and postnatal daily PM2.5, PM10 (satellite based, 1 km resolution) and NO2 (chemistry-transport model, 4 km resolution) concentrations at the mother's residence were estimated for 1271 mother-child pairs from the French EDEN and PELAGIE cohorts. Scores representative of children's General, Verbal and Non-Verbal abilities at 5-6 years were constructed based on subscale scores from the WPPSI-III, WISC-IV or NEPSY-II batteries, using confirmatory factor analysis (CFA). Associations of both prenatal (first 35 gestational weeks) and postnatal (60 months after birth) exposure to air pollutants with child cognition were explored using Distributed Lag Non-linear Models adjusted for confounders. RESULTS Increased maternal exposure to PM10, PM2.5 and NO2, during sensitive windows comprised between the 15th and the 33rd gestational weeks, was associated with lower males' General and Non-verbal abilities. Higher postnatal exposure to PM2.5 between the 35th and 52nd month of life was associated with lower males' General, Verbal and Non-verbal abilities. Some protective associations were punctually observed for the very first gestational weeks or months of life for both males and females and the different pollutants and cognitive scores. DISCUSSION These results suggest poorer cognitive function at 5-6 years among males following increased maternal exposure to PM10, PM2.5 and NO2 during mid-pregnancy and child exposure to PM2.5 around 3-4 years. Apparent protective associations observed are unlikely to be causal and might be due to live birth selection bias, chance finding or residual confounding.
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Affiliation(s)
- Ariane Guilbert
- Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Université Grenoble Alpes, Inserm, CNRS, 38700, La Tronche, France.
| | - Jonathan Y Bernard
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Hugo Peyre
- Centre de Ressources Autisme Languedoc-Roussillon et Centre d'Excellence sur l'Autisme et les Troubles Neuro-développementaux, CHU Montpellier, 34090, Montpellier, France; Université Paris-Saclay, UVSQ, Inserm, CESP, Team DevPsy, 94807, Villejuif, France; Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Etudes Cognitives, Ecole Normale Supérieure, PSL University, EHESS, CNRS, 75005, Paris, France
| | - Nathalie Costet
- Team of Epidemiology and Exposure Science in Health and Environment, Research Center on Environmental and Occupational Health (IRSET), Inserm, Université Rennes, EHESP, 35000, Rennes, France
| | - Ian Hough
- Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Université Grenoble Alpes, Inserm, CNRS, 38700, La Tronche, France; Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Be'er Sheva, Israel; Institute of Environmental Geosciences (IGE), Université Grenoble Alpes, 38400, Saint Martin D'Hères, France
| | - Emie Seyve
- Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Université Grenoble Alpes, Inserm, CNRS, 38700, La Tronche, France
| | - Christine Monfort
- Team of Epidemiology and Exposure Science in Health and Environment, Research Center on Environmental and Occupational Health (IRSET), Inserm, Université Rennes, EHESP, 35000, Rennes, France
| | - Claire Philippat
- Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Université Grenoble Alpes, Inserm, CNRS, 38700, La Tronche, France
| | - Rémy Slama
- Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Université Grenoble Alpes, Inserm, CNRS, 38700, La Tronche, France
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Cécile Chevrier
- Team of Epidemiology and Exposure Science in Health and Environment, Research Center on Environmental and Occupational Health (IRSET), Inserm, Université Rennes, EHESP, 35000, Rennes, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Etudes Cognitives, Ecole Normale Supérieure, PSL University, EHESS, CNRS, 75005, Paris, France
| | - Johanna Lepeule
- Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Université Grenoble Alpes, Inserm, CNRS, 38700, La Tronche, France.
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18
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Dow C, Galera C, Charles MA, Heude B. Maternal pre-pregnancy BMI and offspring hyperactivity-inattention trajectories from 3 to 8 years in the EDEN birth cohort study. Eur Child Adolesc Psychiatry 2023; 32:2057-2065. [PMID: 35851811 DOI: 10.1007/s00787-022-02047-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 07/06/2022] [Indexed: 12/15/2022]
Abstract
Evidence suggests obesity during pregnancy is associated with offspring attention-deficit hyperactivity disorder. However, studies have been limited to evaluating the association at a single age with inadequate data on important maternal lifestyle confounders and unmeasured familial confounding. The objective of this study was to examine the association between maternal pre-pregnancy body mass index (BMI) and child hyperactivity-inattention symptoms (HIS) at 3, 5 and 8 years. Data came from the EDEN mother-child cohort. Maternal pre-pregnancy BMI status (kg/m2) was calculated using pre-pregnancy weight and height (self-reported by mothers or measured by midwives). HIS were assessed by parental-report on the Strengths and Difficulties Questionnaire at 3, 5 and 8 years of age and used to derive developmental trajectories of HIS (n = 1428). Multivariate models were adjusted for confounders including socioeconomic status, maternal lifestyle behaviours (exercise, diet, smoking, alcohol), childcare and a stimulating home environment. Paternal BMI was used as a negative control. Compared to a normal pre-pregnancy BMI, pre-pregnancy maternal obesity was positively associated with increased odds of a high HIS trajectory between 3 and 8 years old in both unadjusted and adjusted logistic regression (adjusted odds ratio [aOR] 1.87 [95% CI 1.12, 3.12]). Pre-pregnancy overweight was not significantly associated after adjustment for confounders (aOR 1.32 [0.87, 2.01]). Maternal pre-pregnancy obesity, but not overweight, was associated with increased likelihood of a high HIS trajectory in children from 3 to 8 years old. This association persisted despite controlling for many important maternal lifestyle factors and paternal BMI. Further research is warranted to identify possible mediators involved.
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Affiliation(s)
- Courtney Dow
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), ORCHAD Team, Paris, France.
| | - Cédric Galera
- Univ. Bordeaux, Inserm, Bordeaux Population Health Center, UMR 1219, 33000, Bordeaux, France
- Centre Hospitalier Perrens, Bordeaux, France
| | - Marie-Aline Charles
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), ORCHAD Team, Paris, France
| | - Barbara Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), ORCHAD Team, Paris, France
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19
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Ghozal M, Kadawathagedara M, Delvert R, Adel-Patient K, Tafflet M, Annesi-Maesano I, Crépet A, Sirot V, Charles MA, Heude B, de Lauzon-Guillain B. Prenatal dietary exposure to chemicals and allergy or respiratory diseases in children in the EDEN mother-child cohort. Environ Int 2023; 180:108195. [PMID: 37734145 DOI: 10.1016/j.envint.2023.108195] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/01/2023] [Accepted: 09/06/2023] [Indexed: 09/23/2023]
Abstract
INTRODUCTION Maternal exposure to food chemicals may increase the risk of allergy and respiratory disorders in offspring. We aimed to assess the association of prenatal dietary exposure to single chemicals and chemical mixtures with allergy or respiratory events reported before age 8 y in children. METHODS We included 1428 mother-child pairs enrolled in the EDEN mother-child cohort. Maternal dietary exposure to 209 chemicals and eight associated mixtures was investigated. Allergic and respiratory diseases (wheezing, asthma, allergic rhinitis, eczema and food allergy) were reported by parents between birth and age 8 y. Associations with the studied outcomes were evaluated with three approaches based on adjusted logistic regression, estimating odds ratios (ORs) and 95 % confidence intervals (CIs). First, food chemicals were considered individually, with correction for multiple testing. Second, chemicals selected by elastic net regression were considered simultaneously in a multiple exposure model. Third, predefined mixtures were introduced in the same adjusted logistic regression. Results are expressed as odds ratio (OR[95 % CI]). RESULTS Prenatal single exposure to 74 food chemicals was associated with higher risk of allergic rhinitis. Prenatal single exposure to 11 chemicals was associated with higher risk of wheezing. In the multi-exposure approach, risk of wheezing was associated with the pesticides diazinon and triadimenol, and polycyclic aromatic hydrocarbon 5-methylchrysene. Phytoestrogen resveratrol was negatively associated with lower risk of both wheezing and allergic rhinitis, and mycotoxin monoacetoxyscirpenol was negatively associated with risk of eczema. Finally, a chemical mixture composed mainly of trace elements, furans and polycyclic aromatic hydrocarbons, was associated with higher risk of allergic rhinitis (1.33 [1.02;1.73]). CONCLUSION Prenatal dietary exposure to chemicals was associated with risk of allergic rhinitis or wheezing up to age 8 y. A few chemicals were associated with other allergic and respiratory diseases. Larger prospective studies are needed to confirm these findings.
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Affiliation(s)
- Manel Ghozal
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France.
| | - Manik Kadawathagedara
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Rosalie Delvert
- Université Paris-Saclay, UVSQ, Université Paris-Sud, Inserm, Équipe d'Épidémiologie Respiratoire Intégrative, CESP, 94805 Villejuif, France
| | | | - Muriel Tafflet
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Isabella Annesi-Maesano
- Institute Desbrest of Epidemiology and Public Health (IDESP), Montpellier University and INSERM, Montpellier, France, Pneumology, Allergology and Thoracic Oncology Department, Montpellier University Hospital, Montpellier, France
| | - Amélie Crépet
- ANSES, French Agency for Food, Environmental and Occupational Health and Safety, Risk Assessment Department, Methodology and Studies Unit, Maisons-Alfort, France
| | - Véronique Sirot
- ANSES, French Agency for Food, Environmental and Occupational Health and Safety, Risk Assessment Department, Methodology and Studies Unit, Maisons-Alfort, France
| | - Marie Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Blandine de Lauzon-Guillain
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
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20
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Fernandes A, Krog NH, McEachan R, Nieuwenhuijsen M, Julvez J, Márquez S, de Castro M, Urquiza J, Heude B, Vafeiadi M, Gražulevičienė R, Slama R, Dedele A, Aasvang GM, Evandt J, Andrusaityte S, Kampouri M, Vrijheid M. Availability, accessibility, and use of green spaces and cognitive development in primary school children. Environ Pollut 2023; 334:122143. [PMID: 37423460 DOI: 10.1016/j.envpol.2023.122143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/01/2023] [Accepted: 07/03/2023] [Indexed: 07/11/2023]
Abstract
Green spaces may have beneficial impacts on children's cognition. However, few studies explored the exposure to green spaces beyond residential areas, and their availability, accessibility and uses at the same time. The aim of the present study was to describe patterns of availability, accessibility, and uses of green spaces among primary school children and to explore how these exposure dimensions are associated with cognitive development. Exposures to green space near home, school, commuting route, and other daily activity locations were assessed for 1607 children aged 6-11 years from six birth cohorts across Europe, and included variables related to: availability (NDVI buffers: 100, 300, 500 m), potential accessibility (proximity to a major green space: linear distance; within 300 m), and use (play time in green spaces: hours/year), and the number of visits to green spaces (times/previous week). Cognition measured as fluid intelligence, inattention, and working memory was assessed by computerized tests. We performed multiple linear regression analyses on pooled and imputed data adjusted for individual and area-level confounders. Availability, accessibility, and uses of green spaces showed a social gradient that was unfavorable in more vulnerable socioeconomic groups. NDVI was associated with more playing time in green spaces, but proximity to a major green space was not. Associations between green space exposures and cognitive function outcomes were not statistically significant in our overall study population. Stratification by socioeconomic variables showed that living within 300 m of a major green space was associated with improved working memory only in children in less deprived residential areas (β = 0.30, CI: 0.09,0.51), and that more time playing in green spaces was associated with better working memory only in children of highly educated mothers (β per IQR increase in hour/year = 0.10; 95% CI: 0.01, 0.19). However, studying within 300 m of a major green space increased inattention scores in children in more deprived areas (β = 15.45, 95% CI: 3.50, 27.40).
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Affiliation(s)
- Amanda Fernandes
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
| | - Norun Hjertager Krog
- Department of Air Quality and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford Royal Infirmary, Bradford, UK
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jordi Julvez
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Clinical and Epidemiological Neuroscience (NeuroÈpia), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Tarragona, Spain
| | - Sandra Márquez
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Montserrat de Castro
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - José Urquiza
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004, Paris, France
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Greece
| | | | - Rémy Slama
- Institut National de la Santé et de la Recherche Médicale (Inserm) and Université Grenoble-Alpes, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Gunn Marit Aasvang
- Department of Air Quality and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Jorunn Evandt
- Department of Air Quality and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Mariza Kampouri
- Department of Social Medicine, School of Medicine, University of Crete, Greece
| | - Martine Vrijheid
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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21
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Dypås LB, Duale N, Olsen AK, Bustamante M, Maitre L, Escaramis G, Julvez J, Aguilar-Lacasaña S, Andrusaityte S, Casas M, Vafeiadi M, Grazuleviciene R, Heude B, Lepeule J, Urquiza J, Wright J, Yang TC, Vrijheid M, Gützkow KB. Blood miRNA levels associated with ADHD traits in children across six European birth cohorts. BMC Psychiatry 2023; 23:696. [PMID: 37749515 PMCID: PMC10521440 DOI: 10.1186/s12888-023-05199-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 09/17/2023] [Indexed: 09/27/2023] Open
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) is a prevalent and highly heritable neurodevelopmental disorder of major societal concern. Diagnosis can be challenging and there are large knowledge gaps regarding its etiology, though studies suggest an interplay of genetic and environmental factors involving epigenetic mechanisms. MicroRNAs (miRNAs) show promise as biomarkers of human pathology and novel therapies, and here we aimed to identify blood miRNAs associated with traits of ADHD as possible biomarker candidates and further explore their biological relevance. METHODS Our study population consisted of 1126 children (aged 5-12 years, 46% female) from the Human Early Life Exposome study, a study spanning six ongoing population-based European birth cohorts. Expression profiles of miRNAs in whole blood samples were quantified by microarray and tested for association with ADHD-related measures of behavior and neuropsychological functions from questionnaires (Conner's Rating Scale and Child Behavior Checklist) and computer-based tests (the N-back task and Attention Network Test). RESULTS We identified 29 miRNAs significantly associated (false discovery rate < .05) with the Conner's questionnaire-rated trait hyperactivity, 15 of which have been linked to ADHD in previous studies. Investigation into their biological relevance revealed involvement in several pathways related to neurodevelopment and function, as well as being linked with other neurodevelopmental or psychiatric disorders known to overlap with ADHD both in symptomology, genetic risk, and co-occurrence, such as autism spectrum disorder or schizophrenia. An additional three miRNAs were significantly associated with Conner's-rated inattention. No associations were found with questionnaire-rated total ADHD index or with computer-based tests. CONCLUSIONS The large overlap of our hyperactivity-associated miRNAs with previous studies on ADHD is intriguing and warrant further investigation. Though this study should be considered explorative and preliminary, these findings contribute towards identifying a set of miRNAs for use as blood-based biomarkers to aid in earlier and easier ADHD diagnosis.
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Affiliation(s)
- Lene B Dypås
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
| | - Nur Duale
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ann-Karin Olsen
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Mariona Bustamante
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Lea Maitre
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Geòrgia Escaramis
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Biomedical Sciences, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Jordi Julvez
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Clinical and Epidemiological Neuroscience (NeuroÈpia), Institut d'investigació Sanitària Pere Virgili (IISPV), Reus, Catalonia, Spain
| | - Sofia Aguilar-Lacasaña
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Sandra Andrusaityte
- Department of Environmental Science, Vytautas Magnus University, Kaunas, Lithuania
| | - Maribel Casas
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | | | - Barbara Heude
- Centre of Research in Epidemiology and Statistics (CRESS), Inserm, Université de Paris, Paris, France
| | - Johanna Lepeule
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health, La Tronche, France
| | - Jose Urquiza
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - John Wright
- Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany C Yang
- Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Martine Vrijheid
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Kristine B Gützkow
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
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22
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Knox B, Galera C, Sutter-Dallay AL, Heude B, de Lauzon-Guillain B, van der Waerden J. A network analysis of nutritional markers and maternal perinatal mental health in the French EDEN cohort. BMC Pregnancy Childbirth 2023; 23:603. [PMID: 37612677 PMCID: PMC10463670 DOI: 10.1186/s12884-023-05914-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 08/10/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND Perinatal maternal depression and anxiety are associated with adverse maternal outcomes, and nutrition may play an important role in their emergence. Previous research shows that certain micro and macronutrients found in different dietary patterns may associate with perinatal mood disorders. This study aims to explore relationships between nutrition during pregnancy and perinatal maternal depression and anxiety symptoms using network analyses. METHODS Using data from the French EDEN mother-child cohort, the sample consisted of 1438 women with available mental health outcomes (CES-D, STAI and EPDS) and nutritional markers collected from food frequency questionnaires. Four networks were constructed to explore the relationships between prenatal nutrient status, dietary patterns, and perinatal mental health, while accounting for important confounders. RESULTS The Healthy dietary pattern was associated with the presence of vital micronutrients, while the Western dietary pattern was consistently associated with poorer intake of specific micronutrients and contained an excess of certain macronutrients. Western dietary pattern and symptoms of postnatal depression were connected by a positive edge in both the macronutrient and micronutrient networks. Lower education levels were associated with higher Western dietary pattern scores, from which a positive edge linked to postnatal depression symptoms in both models. CONCLUSIONS A Western dietary pattern was associated with increased symptoms of postnatal depression in our adjusted network models; The Healthy dietary pattern was associated with essential micronutrients but not with symptoms of depression or anxiety. Perinatal mental health might be impacted by specific dietary patterns in the context of psychosocial and physical stress associated with pregnancy.
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Affiliation(s)
- Bethany Knox
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, F75012, France
| | - Cédric Galera
- University of Bordeaux, Bordeaux, France
- INSERM, Bordeaux Population Health Center, UMR1219, Bordeaux, France
- Centre Hospitalier Perrens, Bordeaux, France
| | - Anne-Laure Sutter-Dallay
- University of Bordeaux, Bordeaux, France
- INSERM, Bordeaux Population Health Center, UMR1219, Bordeaux, France
- Centre Hospitalier Perrens, Bordeaux, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Paris, France
| | - Blandine de Lauzon-Guillain
- Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Paris, France
| | - Judith van der Waerden
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Equipe de Recherche en Epidémiologie Sociale, 27 Rue Chaligny, Paris Cedex 12, 75571, France.
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23
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Nakamura A, Broséus L, Tost J, Vaiman D, Martins S, Keyes K, Bonello K, Fekom M, Strandberg-Larsen K, Sutter-Dallay AL, Heude B, Melchior M, Lepeule J. Epigenome-Wide Associations of Placental DNA Methylation and Behavioral and Emotional Difficulties in Children at 3 Years of Age. Int J Mol Sci 2023; 24:11772. [PMID: 37511531 PMCID: PMC10380531 DOI: 10.3390/ijms241411772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/04/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
The placenta is a key organ for fetal and brain development. Its epigenome can be regarded as a biochemical record of the prenatal environment and a potential mechanism of its association with the future health of the fetus. We investigated associations between placental DNA methylation levels and child behavioral and emotional difficulties, assessed at 3 years of age using the Strengths and Difficulties Questionnaire (SDQ) in 441 mother-child dyads from the EDEN cohort. Hypothesis-driven and exploratory analyses (on differentially methylated probes (EWAS) and regions (DMR)) were adjusted for confounders, technical factors, and cell composition estimates, corrected for multiple comparisons, and stratified by child sex. Hypothesis-driven analyses showed an association of cg26703534 (AHRR) with emotional symptoms, and exploratory analyses identified two probes, cg09126090 (intergenic region) and cg10305789 (PPP1R16B), as negatively associated with peer relationship problems, as well as 33 DMRs, mostly positively associated with at least one of the SDQ subscales. Among girls, most associations were seen with emotional difficulties, whereas in boys, DMRs were as much associated with emotional than behavioral difficulties. This study provides the first evidence of associations between placental DNA methylation and child behavioral and emotional difficulties. Our results suggest sex-specific associations and might provide new insights into the mechanisms of neurodevelopment.
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Affiliation(s)
- Aurélie Nakamura
- Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), University Grenoble Alpes, INSERM, 38700 La Tronche, France;
| | - Lucile Broséus
- Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), University Grenoble Alpes, INSERM, 38700 La Tronche, France;
| | - Jörg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA—Institut de Biologie François Jacob, University Paris Saclay, 91057 Evry, France;
| | - Daniel Vaiman
- From Gametes to Birth, Institut Cochin, U1016 INSERM, UMR 8104 CNRS, Paris Cité University, 75014 Paris, France;
| | - Silvia Martins
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA; (S.M.); (K.K.)
| | - Katherine Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA; (S.M.); (K.K.)
| | - Kim Bonello
- Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), Sorbonne Université, INSERM, 75571 Paris, France; (K.B.); (M.F.); (M.M.)
- Department of General Practice, School of Medicine, Sorbonne University, 75013 Paris, France
| | - Mathilde Fekom
- Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), Sorbonne Université, INSERM, 75571 Paris, France; (K.B.); (M.F.); (M.M.)
| | - Katrine Strandberg-Larsen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, 1165 Copenhagen, Denmark;
| | - Anne-Laure Sutter-Dallay
- Bordeaux Population Health, Bordeaux University, INSERM, UMR 1219, 33076 Bordeaux, France;
- University Department of Child and Adolescent Psychiatry, Charles Perrens Hospital, 33000 Bordeaux, France
| | - Barbara Heude
- Center for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, 75004 Paris, France;
| | - Maria Melchior
- Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), Sorbonne Université, INSERM, 75571 Paris, France; (K.B.); (M.F.); (M.M.)
| | - Johanna Lepeule
- Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), University Grenoble Alpes, INSERM, 38700 La Tronche, France;
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24
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Amine I, Guillien A, Philippat C, Anguita-Ruiz A, Casas M, de Castro M, Dedele A, Garcia-Aymerich J, Granum B, Grazuleviciene R, Heude B, Haug LS, Julvez J, López-Vicente M, Maitre L, McEachan R, Nieuwenhuijsen M, Stratakis N, Vafeiadi M, Wright J, Yang T, Yuan WL, Basagaña X, Slama R, Vrijheid M, Siroux V. Environmental exposures in early-life and general health in childhood. Environ Health 2023; 22:53. [PMID: 37480033 PMCID: PMC10360263 DOI: 10.1186/s12940-023-01001-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 06/28/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Early-life environmental exposures are suspected to be involved in the development of chronic diseases later in life. Most studies conducted so far considered single or few exposures and single-health parameter. Our study aimed to identify a childhood general health score and assess its association with a wide range of pre- and post-natal environmental exposures. METHODS The analysis is based on 870 children (6-12 years) from six European birth cohorts participating in the Human Early-Life Exposome project. A total of 53 prenatal and 105 childhood environmental factors were considered, including lifestyle, social, urban and chemical exposures. We built a general health score by averaging three sub-scores (cardiometabolic, respiratory/allergy and mental) built from 15 health parameters. By construct, a child with a low score has a low general health status. Penalized multivariable regression through Least Absolute Shrinkage and Selection Operator (LASSO) was fitted in order to identify exposures associated with the general health score. FINDINGS The results of LASSO show that a lower general health score was associated with maternal passive and active smoking during pregnancy and postnatal exposure to methylparaben, copper, indoor air pollutants, high intake of caffeinated drinks and few contacts with friends and family. Higher child's general health score was associated with prenatal exposure to a bluespace near residency and postnatal exposures to pets, cobalt, high intakes of vegetables and more physical activity. Against our hypotheses, postnatal exposure to organochlorine compounds and perfluorooctanoate were associated with a higher child's general health score. CONCLUSION By using a general health score summarizing the child cardiometabolic, respiratory/allergy and mental health, this study reinforced previously suspected environmental factors associated with various child health parameters (e.g. tobacco, air pollutants) and identified new factors (e.g. pets, bluespace) warranting further investigations.
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Affiliation(s)
- Ines Amine
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France.
| | - Alicia Guillien
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Claire Philippat
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Augusto Anguita-Ruiz
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- CIBEROBN, (Physiopathology of Obesity and Nutrition CB12/03/30038), Institute of Health Carlos III (ISCIII), 28029, Madrid, Spain
| | - Maribel Casas
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Montserrat de Castro
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain
| | - Audrius Dedele
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Judith Garcia-Aymerich
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Berit Granum
- Division for Climate and Environmental Health, Norwegian Institute of Public Health, 0213, Oslo, Norway
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Line Småstuen Haug
- Division for Climate and Environmental Health, Norwegian Institute of Public Health, 0213, Oslo, Norway
| | - Jordi Julvez
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Clinical and Epidemiological Neuroscience (NeuroÈpia), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
| | - Mónica López-Vicente
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
| | - Léa Maitre
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mark Nieuwenhuijsen
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Nikos Stratakis
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Wen Lun Yuan
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
- Singapore Institute for Clinical Science, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Xavier Basagaña
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Rémy Slama
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Martine Vrijheid
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Valérie Siroux
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
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25
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Khalfallah O, Barbosa S, Phillippat C, Slama R, Galera C, Heude B, Glaichenhaus N, Davidovic L. Cytokines as mediators of the associations of prenatal exposure to phenols, parabens, and phthalates with internalizing behaviours at age 3 in boys: A mixture exposure and mediation approach. Environ Res 2023; 229:115865. [PMID: 37062478 DOI: 10.1016/j.envres.2023.115865] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/05/2023] [Accepted: 04/07/2023] [Indexed: 05/21/2023]
Abstract
Childhood internalizing disorders refer to inwardly focused negative behaviours such as anxiety, depression, and somatic complains. Interactions between psychosocial, genetic, and environmental risk factors adversely impact neurodevelopment and can contribute to internalizing disorders. While prenatal exposure to single endocrine disruptors (EDs) is associated with internalizing behaviours in infants, the associations with prenatal exposure to EDs in mixture remain poorly addressed. In addition, the biological mediators of EDs in mixture effects on internalizing behaviours remain unexplored. EDs do not only interfere with endocrine function, but also with immune function and inflammatory processes. Based on this body of evidence, we hypothetised that inflammation at birth is a plausible biological pathway through which prenatal exposure to EDs in mixture could operate to influence offspring internalizing behaviours. Based on the EDEN birth cohort, we investigated whether exposure to a mixture of EDs increased the odds of internalizing disorders in 459 boy infants at age 3, and whether the pro-inflammatory cytokines IL-1β, IL-6, and TNF-α measured at birth were mediators of this effect. To determine both the joint and individual associations of prenatal exposure to EDs with infant internalizing behaviours and the possible mediating role of cytokines, we used the counterfactual hierarchical Bayesian Kernel Machine Regression (BKMR) regression-causal mediation analysis. We show that prenatal exposure to a complex mixture of EDs has limited effects on internalizing behaviours in boys at age 3. We also show that IL-1β, IL-6, and TNF-α are unlikely mediators or suppressors of ED mixture effects on internalizing behaviours in boys at age 3. Further studies on larger cohorts are warranted to refine the deleterious effects of EDs in mixtures on internalizing behaviours and identify possible mediating pathways.
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Affiliation(s)
- Olfa Khalfallah
- Centre National de La Recherche Scientifique, Université Côte d'Azur, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France.
| | - Susana Barbosa
- Centre National de La Recherche Scientifique, Université Côte d'Azur, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France
| | - Claire Phillippat
- University Grenoble Alpes, Inserm U1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences 38000 Grenoble, France
| | - Remy Slama
- University Grenoble Alpes, Inserm U1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences 38000 Grenoble, France
| | - Cédric Galera
- Institut National de La Santé et de La Recherche Médicale UMR 1219, Bordeaux Population Health Centre, Université de Bordeaux, Hôpital Charles Perrens, Bordeaux, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Nicolas Glaichenhaus
- Centre National de La Recherche Scientifique, Université Côte d'Azur, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France; Fondation FondaMental, Créteil, France
| | - Laetitia Davidovic
- Centre National de La Recherche Scientifique, Université Côte d'Azur, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France; Fondation FondaMental, Créteil, France.
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26
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Lopez-Sublet M, Merkling T, Girerd N, Xhaard C, Flahault A, Bozec E, Leroy C, Fujikawa T, Vaag AA, Mebazaa A, Kistorp CM, Heude B, Boivin JM, Zannad F, Wagner S, Rossignol P. Birth weight and subclinical cardiovascular and renal damage in a population-based study (the STANISLAS cohort study). J Hypertens 2023; 41:1040-1050. [PMID: 37071444 DOI: 10.1097/hjh.0000000000003438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
OBJECTIVE Although preterm-born and low-birth-weight individuals have an increased risk of cardiovascular diseases in adulthood, little is known regarding early cardiovascular and renal damage (CVRD) or hypertension in adulthood. Our study investigated the association of birth weight with early CVRD markers as well as the heritability of birth weight in an initially healthy family-based cohort. METHODS This study was based on 1028 individuals from the familial longitudinal STANISLAS cohort (399 parents/629 children) initiated in 1993-1995, with a fourth examination conducted in 2011-2016. Analyses performed at the fourth visit included pulse-wave velocity, central pressure, ambulatory blood pressure, hypertension status, diastolic dysfunction/distensibility, left ventricular mass indexed (LVMI), carotid intima-media thickness and kidney damage. The family structure of the cohort allowed birth weight heritability estimation. RESULTS Mean (±SD) birth weight was 3.3 ± 0.6 kg. Heritability was moderate (42-44%). At the fourth visit, individuals were 37 years old (32.0-57.0), 56% were women and 13% had antihypertensive treatment. Birth weight was strongly and negatively associated with hypertension [odds ratio (OR) 95% confidence interval (CI) 0.61 (0.45-0.84)]. A nonlinear association was found with LVMI, participants with a birth weight greater than 3 kg having a higher LVMI. A positive association ( β 95% CI 5.09 (1.8-8.38)] was also observed between birth weight and distensibility for adults with normal BMI. No associations were found with other CVRD. CONCLUSION In this middle-aged population, birth weight was strongly and negatively associated with hypertension, and positively associated with distensibility in adults with normal BMI and with LVMI for higher birth weights. No associations were found with other CVRD markers.
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Affiliation(s)
- Marilucy Lopez-Sublet
- AP-HP, Hôpital Avicenne, Centre d'Excellence Européen en Hypertension Artérielle, Service de Médecine Interne
- INSERM UMR 942 MASCOT, Paris 13-Université Paris Nord, Bobigny
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
| | - Thomas Merkling
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Nicolas Girerd
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Constance Xhaard
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Adrien Flahault
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Service de Néphrologie, Hôpital Européen Georges Pompidou, Paris, France
| | - Erwan Bozec
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Celine Leroy
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Tomona Fujikawa
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Allan Arthur Vaag
- Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730 Herlev, Denmark
| | - Alexandre Mebazaa
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- UMR-S 942 INSERM, Lariboisière Hospital, Paris
- Paris Diderot University, Sorbonne Paris Cité
- Department of Anaesthesiology and Critical Care, Laribosière Hospital, AP-HP, Paris
| | - Caroline Michaela Kistorp
- Department of Endocrinology, Copenhagen University Hospital, Rigshospitalet; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Barbara Heude
- Université de Paris, Research Center in Epidemiology and Biostatistics (CRESS), INSERM, INRAE, Paris, France
| | - Jean Marc Boivin
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Faiez Zannad
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Sandra Wagner
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Patrick Rossignol
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
- Medicine and Nephrology-Hemodialysis departments, Princess Grace Hospital, and Monaco Private Hemodialysis Centre, Monaco, Monaco
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27
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Lecorguillé M, Schipper MC, O'Donnell A, Aubert AM, Tafflet M, Gassama M, Douglass A, Hébert JR, de Lauzon-Guillain B, Kelleher C, Charles MA, Phillips CM, Gaillard R, Lioret S, Heude B. Impact of parental lifestyle patterns in the preconception and pregnancy periods on childhood obesity. Front Nutr 2023; 10:1166981. [PMID: 37275643 PMCID: PMC10233059 DOI: 10.3389/fnut.2023.1166981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/07/2023] [Indexed: 06/07/2023] Open
Abstract
Introduction High prevalence of overweight and obesity already observed in preschool children suggests the involvement of early-life risk factors. Preconception period and pregnancy are crucial windows for the implementation of child obesity prevention interventions with parental lifestyle factors as relevant targets. So far, most studies have evaluated their role separately, with only a few having investigated their potential synergistic effect on childhood obesity. Our objective was to investigate parental lifestyle patterns in the preconception and pregnancy periods and their association with the risk of child overweight after 5 years. Materials and methods We harmonized and interpreted results from four European mother-offspring cohorts participating in the EndObesity Consortium [EDEN, France; Elfe, France; Lifeways, Ireland; and Generation R, Netherlands] with data available for 1,900, 18,000, 1,100, and 9,500 families, respectively. Lifestyle factors were collected using questionnaires and included parental smoking, body mass index (BMI), gestational weight gain, diet, physical activity, and sedentary behavior. We applied principal component analyses to identify parental lifestyle patterns in preconception and pregnancy. Their association with risk of overweight (including obesity; OW-OB) and BMI z-scores between 5 and 12 years were assessed using cohort-specific multivariable logistic and linear and regression models (adjusted for potential confounders including parental age, education level, employment status, geographic origin, parity, and household income). Results Among the various lifestyle patterns derived in all cohorts, the two explaining the most variance were characterized by (1) "high parental smoking, low maternal diet quality (and high maternal sedentary behavior in some cohorts)" and, (2) "high parental BMI and low gestational weight gain." Patterns characterized by high parental BMI, smoking, low diet quality or high sedentary lifestyle before or during pregnancy were associated with higher risk of OW-OB in children, and BMI z-score at any age, with consistent strengths of associations in the main cohorts, except for lifeways. Conclusion This project provides insight into how combined parental lifestyle factors in the preconception and pregnancy periods are associated with the future risk of child obesity. These findings are valuable to inform family-based and multi-behavioural child obesity prevention strategies in early life.
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Affiliation(s)
- Marion Lecorguillé
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Mireille C Schipper
- The Generation R Study Group (Na 29-15), Erasmus University Medical Center, CA, Rotterdam, Netherlands
| | - Aisling O'Donnell
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Adrien M Aubert
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Muriel Tafflet
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | | | - Alexander Douglass
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - James R Hébert
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
- Department of Nutrition, Connecting Health Innovations, LLC, Columbia, SC, United States
| | - Blandine de Lauzon-Guillain
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Cecily Kelleher
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Marie-Aline Charles
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
- Ined, Inserm, EFS, Joint Unit Elfe, Aubervilliers, France
| | - Catherine M Phillips
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Romy Gaillard
- The Generation R Study Group (Na 29-15), Erasmus University Medical Center, CA, Rotterdam, Netherlands
| | - Sandrine Lioret
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
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28
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Elhakeem A, Taylor AE, Inskip HM, Huang JY, Mansell T, Rodrigues C, Asta F, Blaauwendraad SM, Håberg SE, Halliday J, Harskamp-van Ginkel MW, He JR, Jaddoe VWV, Lewis S, Maher GM, Manios Y, McCarthy FP, Reiss IKM, Rusconi F, Salika T, Tafflet M, Qiu X, Åsvold BO, Burgner D, Chan JKY, Gagliardi L, Gaillard R, Heude B, Magnus MC, Moschonis G, Murray D, Nelson SM, Porta D, Saffery R, Barros H, Eriksson JG, Vrijkotte TGM, Lawlor DA. Long-term cardiometabolic health in people born after assisted reproductive technology: a multi-cohort analysis. Eur Heart J 2023; 44:1464-1473. [PMID: 36740401 PMCID: PMC10119029 DOI: 10.1093/eurheartj/ehac726] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 10/23/2022] [Accepted: 11/23/2022] [Indexed: 02/07/2023] Open
Abstract
AIMS To examine associations of assisted reproductive technology (ART) conception (vs. natural conception: NC) with offspring cardiometabolic health outcomes and whether these differ with age. METHODS AND RESULTS Differences in systolic (SBP) and diastolic blood pressure (DBP), heart rate (HR), lipids, and hyperglycaemic/insulin resistance markers were examined using multiple linear regression models in 14 population-based birth cohorts in Europe, Australia, and Singapore, and results were combined using meta-analysis. Change in cardiometabolic outcomes from 2 to 26 years was examined using trajectory modelling of four cohorts with repeated measures. 35 938 (654 ART) offspring were included in the meta-analysis. Mean age ranged from 13 months to 27.4 years but was <10 years in 11/14 cohorts. Meta-analysis found no statistical difference (ART minus NC) in SBP (-0.53 mmHg; 95% CI:-1.59 to 0.53), DBP (-0.24 mmHg; -0.83 to 0.35), or HR (0.02 beat/min; -0.91 to 0.94). Total cholesterol (2.59%; 0.10-5.07), HDL cholesterol (4.16%; 2.52-5.81), LDL cholesterol (4.95%; 0.47-9.43) were statistically significantly higher in ART-conceived vs. NC offspring. No statistical difference was seen for triglycerides (TG), glucose, insulin, and glycated haemoglobin. Long-term follow-up of 17 244 (244 ART) births identified statistically significant associations between ART and lower predicted SBP/DBP in childhood, and subtle trajectories to higher SBP and TG in young adulthood; however, most differences were not statistically significant. CONCLUSION These findings of small and statistically non-significant differences in offspring cardiometabolic outcomes should reassure people receiving ART. Longer-term follow-up is warranted to investigate changes over adulthood in the risks of hypertension, dyslipidaemia, and preclinical and clinical cardiovascular disease.
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Affiliation(s)
- Ahmed Elhakeem
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Amy E Taylor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Jonathan Y Huang
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Duke-NUS Medical School, Centre for Quantitative Medicine,Singapore, Singapore
| | - Toby Mansell
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- University of Melbourne, Parkville, VIC, Australia
| | - Carina Rodrigues
- EPIUnit—Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Federica Asta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Sophia M Blaauwendraad
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jane Halliday
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- University of Melbourne, Parkville, VIC, Australia
| | - Margreet W Harskamp-van Ginkel
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jian-Rong He
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Vincent W V Jaddoe
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Sharon Lewis
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- University of Melbourne, Parkville, VIC, Australia
| | - Gillian M Maher
- School of Public Health, University College Cork, Cork, Ireland
- The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
| | - Fergus P McCarthy
- The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland
- Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland
| | - Irwin K M Reiss
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Franca Rusconi
- Department of Mother and Child Health, Ospedale Versilia, Viareggio, AUSL Toscana Nord Ovest, Pisa, Italy
| | - Theodosia Salika
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Muriel Tafflet
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Xiu Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Bjørn O Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Levanger, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - David Burgner
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
- Department of Paediatrics, Monash University, Clayton, VIC, Australia
| | - Jerry K Y Chan
- Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
- Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore, Singapore
| | - Luigi Gagliardi
- Department of Mother and Child Health, Ospedale Versilia, Viareggio, AUSL Toscana Nord Ovest, Pisa, Italy
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Maria C Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - George Moschonis
- Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia
| | - Deirdre Murray
- The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland
- Department of Pediatrics and Child Health, University College Cork, Cork, Ireland
| | - Scott M Nelson
- NIHR Bristol Biomedical Research Centre, Bristol, UK
- School of Medicine, University of Glasgow, Glasgow, UK
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Richard Saffery
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- University of Melbourne, Parkville, VIC, Australia
| | - Henrique Barros
- EPIUnit—Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Johan G Eriksson
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
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29
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Vinther JL, Cadman T, Avraam D, Ekstrøm CT, Sørensen TIA, Elhakeem A, Santos AC, de Moira AP, Heude B, Iñiguez C, Pizzi C, Simons E, Voerman E, Corpeleijn E, Zariouh F, Santorelli G, Inskip HM, Barros H, Carson J, Harris JR, Nader JL, Ronkainen J, Strandberg-Larsen K, Santa-Marina L, Calas L, Cederkvist L, Popovic M, Charles MA, Welten M, Vrijheid M, Azad M, Subbarao P, Burton P, Mandhane PJ, Huang RC, Wilson RC, Haakma S, Fernández-Barrés S, Turvey S, Santos S, Tough SC, Sebert S, Moraes TJ, Salika T, Jaddoe VWV, Lawlor DA, Nybo Andersen AM. Correction: Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies. PLoS Med 2023; 20:e1004232. [PMID: 37071835 PMCID: PMC10112920 DOI: 10.1371/journal.pmed.1004232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/20/2023] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pmed.1004036.].
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30
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Jumentier B, Barrot CC, Estavoyer M, Tost J, Heude B, François O, Lepeule J. High-Dimensional Mediation Analysis: A New Method Applied to Maternal Smoking, Placental DNA Methylation, and Birth Outcomes. Environ Health Perspect 2023; 131:47011. [PMID: 37058433 PMCID: PMC10104171 DOI: 10.1289/ehp11559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND High-dimensional mediation analysis is an extension of unidimensional mediation analysis that includes multiple mediators, and increasingly it is being used to evaluate the indirect omics-layer effects of environmental exposures on health outcomes. Analyses involving high-dimensional mediators raise several statistical issues. Although many methods have recently been developed, no consensus has been reached about the optimal combination of approaches to high-dimensional mediation analyses. OBJECTIVES We developed and validated a method for high-dimensional mediation analysis (HDMAX2) and applied it to evaluate the causal role of placental DNA methylation in the pathway between exposure to maternal smoking (MS) during pregnancy and gestational age (GA) and birth weight of the baby at birth. METHODS HDMAX2 combines latent factor regression models for epigenome-wide association studies with max2 tests for mediation and considers CpGs and aggregated mediator regions (AMRs). HDMAX2 was carefully evaluated using simulated data and compared to state-of-the-art multidimensional epigenetic mediation methods. Then, HDMAX2 was applied to data from 470 women of the Etude des Déterminants pré et postnatals du développement de la santé de l'Enfant (EDEN) cohort. RESULTS HDMAX2 demonstrated increased power in comparison with state-of-the-art multidimensional mediation methods and identified several AMRs not identified in previous mediation analyses of exposure to MS on birth weight and GA. The results provided evidence for a polygenic architecture of the mediation pathway with a posterior estimate of the overall indirect effect of CpGs and AMRs equal to 44.5g lower birth weight representing 32.1% of the total effect [standard deviation (SD)=60.7g]. HDMAX2 also identified AMRs having simultaneous effects both on GA and on birth weight. Among the top hits of both GA and birth weight analyses, regions located in COASY, BLCAP, and ESRP2 also mediated the relationship between GA and birth weight, suggesting reverse causality in the relationship between GA and the methylome. DISCUSSION HDMAX2 outperformed existing approaches and revealed an unsuspected complexity of the potential causal relationships between exposure to MS and birth weight at the epigenome-wide level. HDMAX2 is applicable to a wide range of tissues and omic layers. https://doi.org/10.1289/EHP11559.
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Affiliation(s)
- Basile Jumentier
- Université Grenoble-Alpes, Centre National de la Recherche Scientifique, Grenoble INP, TIMC CNRS UMR 5525, Grenoble, France
| | - Claire-Cécile Barrot
- Université Grenoble-Alpes, Centre National de la Recherche Scientifique, Grenoble INP, TIMC CNRS UMR 5525, Grenoble, France
| | - Maxime Estavoyer
- Université Grenoble-Alpes, Centre National de la Recherche Scientifique, Grenoble INP, TIMC CNRS UMR 5525, Grenoble, France
| | - Jorg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Genomique Humaine, CEA – Institut de Biologie François Jacob, University Paris Saclay, Evry, France
| | - Barbara Heude
- Université Paris Cité et Université Sorbonne Paris Nord, Inserm, INRAE, Centre de Recherche en Épidémiologie et StatistiqueS (CRESS), F-75004 Paris, France
| | - Olivier François
- Université Grenoble-Alpes, Centre National de la Recherche Scientifique, Grenoble INP, TIMC CNRS UMR 5525, Grenoble, France
- Inria Grenoble – Rhône-Alpes Inovallée, Montbonnot, France
| | - Johanna Lepeule
- Université Grenoble-Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
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31
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Amadou C, Heude B, de Lauzon-Guillain B, Lioret S, Descarpentrie A, Ribet C, Zins M, Charles MA. Early origins of metabolic and overall health in young adults: An outcome-wide analysis in a general cohort population. Diabetes Metab 2023; 49:101414. [PMID: 36493959 DOI: 10.1016/j.diabet.2022.101414] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/10/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Long-term consequences of impaired fetal growth are well documented for cardiometabolic outcomes. We propose an outcome-wide analysis of the association between birth weight (BW) and long-term health in a large contemporary adult cohort. METHODS The study included 73,315 participants under 60 years with a reliable BW from the French nationwide Constances cohort. Low and high BW (LBW/HBW) were defined as BW<10th and >90th of sex-specific percentiles. Associations between BW and outcomes were analyzed with a sex-stratified modified Poisson regression adjusted for the participant's age, maternal health history, geographical origins, and parents' occupation. RESULTS Mean BW (10th -90th percentile) was 3390 g (2800-4000) for men and 3247g (2680-3820) for women. In men, LBW was associated with (RR [CI95]): fasting glucose impairment (1.33 [1.16;1.52]); hypertriglyceridemia (1.27 [1.17;1.37]); high blood pressure (HBP) (1.15 [1.07;1.24]); non-alcoholic fatty liver disease NAFLD (1.13 [1.02;1.24]); high LDL-cholesterol (1.12 [1.05;1.21]); anxiety (1.12 [1.01;1.24]) and depression (1.09 [1.00;1.18]). HBW was associated with obesity (1.21 [1.08;1.35]). In women, LBW was associated with fasting glucose impairment (1.31 [1.12;1.54]); HBP (1.27 [1.16;1.4]); hypertriglyceridemia (1.20 [1.05;1.36]); anxiety (1.10 [1.03;1.17]); and asthma (1.09 [1;1.19}). HBW was associated with obesity (1.24 [1.13;1.36]) and NAFLD (1.20 [1.06;1.37). LBW and HBW were associated with a lesser likelihood of tertiary education attainment in both sexes. Participants' education level was a significant partial mediator of the association between LBW and outcomes. CONCLUSION Extreme BW is associated with long-term health. It should be considered in the personalized prevention of cardiometabolic, respiratory, and mental health conditions in adulthood, especially in socio-economically disadvantaged populations.
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Affiliation(s)
- Coralie Amadou
- Department of diabetes and endocrinology, Sud-Francilien Hospital, Paris-Saclay University, Corbeil-Essonnes, France.
| | - Barbara Heude
- Université Paris Cité, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Blandine de Lauzon-Guillain
- Université Paris Cité, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Sandrine Lioret
- Université Paris Cité, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Alexandra Descarpentrie
- Université Paris Cité, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Céline Ribet
- Université de Paris Cité, "Population-based Cohorts Unit," INSERM, Paris Saclay University, Université de Versailles-Saint-Quentin-en-Yvelines, UMS 011, Paris, France
| | - Marie Zins
- Université de Paris Cité, "Population-based Cohorts Unit," INSERM, Paris Saclay University, Université de Versailles-Saint-Quentin-en-Yvelines, UMS 011, Paris, France
| | - Marie-Aline Charles
- Université Paris Cité, INSERM, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
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32
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Fujikawa T, Kobayashi M, Wagner S, Duarte K, Scherdel P, Heude B, Dupont V, Bozec E, Bresso E, Zannad F, Rossignol P, Girerd N. Associations of childhood adiposity with adult intima-media thickness and inflammation: a 20-year longitudinal population-based cohort. J Hypertens 2023; 41:402-410. [PMID: 36728849 DOI: 10.1097/hjh.0000000000003343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND The associations between childhood adiposity and adult increased carotid intima-media thickness (cIMT) have been well established, which might be corroborated by the association between adiposity in children and inflammation in adults. However, longitudinal data regarding biological pathways associated with childhood adiposity are lacking. METHODS The current study included participants from the STANISLAS cohort who had adiposity measurements at age 5-18 years [ N = 519, mean (SD) age, 13.0 (2.9) years; 46.4% male], and who were measured with cIMT, vascular-related and metabolic-related proteins at a median follow-up of 19 ± 2 years. BMI, waist-to-height ratio and waist circumference were converted to age-specific and sex-specific z -scores. RESULTS A minority of children were overweight/obese (16.2% overweight-BMI z -score >1; 1.3% obesity- z -score >2). Higher BMI, waist-height ratio and waist circumference in children were significantly associated with greater adult cIMT in univariable analysis, although not after adjusting for C-reactive protein. These associations were more pronounced in those with consistently high adiposity status from childhood to middle adulthood. Participants with higher adiposity during childhood (BMI or waist-height ratio) had higher levels of insulin-like growth factor-binding protein-1, protein-2, matrix metalloproteinase-3, osteopontin, hemoglobin and C-reactive protein in adulthood. Network analysis showed that IL-6, insulin-like growth factor-1 and fibronectin were the key proteins associated with childhood adiposity. CONCLUSION In a population-based cohort followed for 20 years, higher BMI or waist-to-height ratio in childhood was significantly associated with greater cIMT and enhanced levels of proteins reflective of inflammation, supporting the importance of inflammation as progressive atherosclerosis in childhood adiposity.
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Affiliation(s)
- Tomona Fujikawa
- Centre d'Investigations Cliniques Plurithématique 1433, Université de Lorraine, INSERM 1116, CHRU de Nancy
- F-CRIN INI-CRCT Cardiovascular and Renal Clinical Trialists Network, Nancy
| | - Masatake Kobayashi
- Centre d'Investigations Cliniques Plurithématique 1433, Université de Lorraine, INSERM 1116, CHRU de Nancy
- F-CRIN INI-CRCT Cardiovascular and Renal Clinical Trialists Network, Nancy
| | - Sandra Wagner
- Centre d'Investigations Cliniques Plurithématique 1433, Université de Lorraine, INSERM 1116, CHRU de Nancy
- F-CRIN INI-CRCT Cardiovascular and Renal Clinical Trialists Network, Nancy
| | - Kevin Duarte
- Centre d'Investigations Cliniques Plurithématique 1433, Université de Lorraine, INSERM 1116, CHRU de Nancy
- F-CRIN INI-CRCT Cardiovascular and Renal Clinical Trialists Network, Nancy
| | - Pauline Scherdel
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Early Determinants of the Child's Health and Development Team (ORCHAD), Paris
| | - Barbara Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Early Determinants of the Child's Health and Development Team (ORCHAD), Paris
| | - Vincent Dupont
- Departement of Nephrology, Centre Hospitalier Universitaire de Reims
- French Clinical Research Infrastructure Network, Investigation Network Initiative - Cardiovascular and Renal Clinical Trialists (F-CRIN INI-CRCT), Reims, France
| | - Erwan Bozec
- Centre d'Investigations Cliniques Plurithématique 1433, Université de Lorraine, INSERM 1116, CHRU de Nancy
- F-CRIN INI-CRCT Cardiovascular and Renal Clinical Trialists Network, Nancy
| | - Emmanuel Bresso
- Centre d'Investigations Cliniques Plurithématique 1433, Université de Lorraine, INSERM 1116, CHRU de Nancy
- F-CRIN INI-CRCT Cardiovascular and Renal Clinical Trialists Network, Nancy
| | - Faiez Zannad
- Centre d'Investigations Cliniques Plurithématique 1433, Université de Lorraine, INSERM 1116, CHRU de Nancy
- F-CRIN INI-CRCT Cardiovascular and Renal Clinical Trialists Network, Nancy
| | - Patrick Rossignol
- Centre d'Investigations Cliniques Plurithématique 1433, Université de Lorraine, INSERM 1116, CHRU de Nancy
- F-CRIN INI-CRCT Cardiovascular and Renal Clinical Trialists Network, Nancy
| | - Nicolas Girerd
- Centre d'Investigations Cliniques Plurithématique 1433, Université de Lorraine, INSERM 1116, CHRU de Nancy
- F-CRIN INI-CRCT Cardiovascular and Renal Clinical Trialists Network, Nancy
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Guivarch C, Cissé AH, Charles MA, Heude B, de Lauzon-Guillain B. Parental feeding practices as potential moderating or mediating factors in the associations between children's early and later growth. Int J Obes (Lond) 2023; 47:190-196. [PMID: 36653514 DOI: 10.1038/s41366-023-01255-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 01/04/2023] [Accepted: 01/05/2023] [Indexed: 01/20/2023]
Abstract
BACKGROUND Given inconsistent results in the literature, our objective was to examine the role of early parental feeding practices in children's growth. METHODS Analyses were based on 1245 children from the EDEN mother-child cohort. Parental feeding practices were assessed at the 2-year follow-up by using the Comprehensive Feeding Practices Questionnaire. International Obesity Task Force BMI z-scores were derived from weight and height assessed at 2, 4, 6, and 8 years. Associations between parental feeding practices and child BMI z-scores at 4, 6 and 8 years were assessed by multivariable linear regressions, notably adjusted for 2-year BMI z-score. Analyses were stratified by child sex when relevant. Moreover, interaction and mediation analyses were respectively performed to assess whether parental feeding practices could moderate or mediate the associations between early and later growth. RESULTS For a given BMI z-score at 2 years, parental restriction for weight at 2 years was positively associated with child BMI z-scores from 4 to 8 years (at 8 years: β [95% CI] = 0.09 [0.01; 0.16]). Among boys only, high use of food as a reward was positively associated with later BMI z-scores (at 8 years: β [95% CI] = 0.15 [0.03; 0.27]). Parental feeding practices were not moderating factors in the associations between early and later growth. Parental restriction for weight was a mediating factor in the associations between 2-year BMI z-score and BMI z-scores up to 8 years (mediation: 2.69% [0.27%; 5.11%] of the total effect at 8 years). CONCLUSIONS Restriction for weight reasons, often used by parents in response to the child's high appetite in infancy, appears to lie on the pathway between early and later BMI, but not restriction for health, suggesting that parental way of restricting the child's food intake matters.
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Affiliation(s)
| | | | - Marie-Aline Charles
- Université Paris Cité, INSERM, INRAE, CRESS, Paris, France
- Unité mixte INSERM-Ined-EFS ELFE, Ined, Aubervilliers, France
| | - Barbara Heude
- Université Paris Cité, INSERM, INRAE, CRESS, Paris, France
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Lecorguillé M, Schipper M, O'Donnell A, Aubert AM, Tafflet M, Gassama M, Douglass A, Hébert JR, Kelleher C, Charles MA, Phillips CM, Gaillard R, Lioret S, Heude B. Parental lifestyle patterns around pregnancy and risk of childhood obesity in four European birth cohort studies. Lancet Glob Health 2023; 11 Suppl 1:S5. [PMID: 36866482 DOI: 10.1016/s2214-109x(23)00090-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
BACKGROUND A high prevalence of excess weight in children younger than 5 years suggests the involvement of early-life risk factors. The preconception and pregnancy periods are crucial stages for the implementation of interventions to prevent childhood obesity. Most studies so far have evaluated the effects of early-life factors separately, with only a few investigating the combined effect of parental lifestyle factors. Our objective was to fill the literature gap regarding parental lifestyle factors in the preconception and pregnancy periods and to study their association with the risk of overweight in children after the age of 5 years. METHODS We harmonised and interpreted data from four European mother-offspring cohorts (EDEN [comprising 1900 families], Elfe [comprising 18 000 families], Lifeways [comprising 1100 families], and Generation R [comprising 9500 families]). Written informed consent was obtained from parents of all involved children. Lifestyle factor data collected through questionnaires comprised parental smoking, BMI, gestational weight gain, diet, physical activity, and sedentary behaviour. We applied principal component analyses to identify multiple lifestyle patterns in preconception and pregnancy. Their association with child BMI z-score and risk of overweight (including obesity, overweight and obesity, as defined by the International Task Force reference) between the ages of 5 and 12 years were assessed using cohort-specific multivariable linear and logistic regression models (adjusted for confounders including parental age, education level, employment status, geographic origin, parity, and household income). FINDINGS Among the various lifestyle patterns identified in all cohorts, the two that better explained variance were high parental smoking plus low maternal diet quality or high maternal sedentary behaviour, and high parental BMI plus low gestational weight gain. Overall, we observed that patterns characterised by high parental BMI, smoking, low-quality diet, or sedentary lifestyle before or during pregnancy were associated with higher BMI z-scores and risk of overweight and obesity in children aged 5-12 years. INTERPRETATION Our data contribute to a better understanding of how parental lifestyle factors might be associated with the risk of childhood obesity. These findings are valuable to inform future family-based and multi-behavioural child obesity prevention strategies in early life. FUNDING European Union's Horizon 2020 under the ERA-NET Cofund action (reference 727565) and European Joint Programming Initiative "A Healthy Diet for a Healthy Life" (JPI HDHL, EndObesity).
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Affiliation(s)
- Marion Lecorguillé
- Center for Research in Epidemiology and Statistics, National Institute of Health and Medical Research and National Research Institute for Agriculture, Food and the Environment, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France.
| | - Mireille Schipper
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Aisling O'Donnell
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Adrien M Aubert
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Muriel Tafflet
- Center for Research in Epidemiology and Statistics, National Institute of Health and Medical Research and National Research Institute for Agriculture, Food and the Environment, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France
| | - Malamine Gassama
- UMS Elfe Team, French Institute for Demographic Studies, National Institute of Health and Medical Research, French Blood Agency, Aubervilliers, France
| | - Alexander Douglass
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - James R Hébert
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Connecting Health Innovations, Columbia, SC, USA
| | - Cecily Kelleher
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Marie-Aline Charles
- Center for Research in Epidemiology and Statistics, National Institute of Health and Medical Research and National Research Institute for Agriculture, Food and the Environment, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France; UMS Elfe Team, French Institute for Demographic Studies, National Institute of Health and Medical Research, French Blood Agency, Aubervilliers, France
| | - Catherine M Phillips
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Romy Gaillard
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Sandrine Lioret
- Center for Research in Epidemiology and Statistics, National Institute of Health and Medical Research and National Research Institute for Agriculture, Food and the Environment, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France
| | - Barbara Heude
- Center for Research in Epidemiology and Statistics, National Institute of Health and Medical Research and National Research Institute for Agriculture, Food and the Environment, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France
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Kallas KA, Marr K, Moirangthem S, Heude B, Koehl M, van der Waerden J, Downes N. Maternal Mental Health Care Matters: The Impact of Prenatal Depressive and Anxious Symptoms on Child Emotional and Behavioural Trajectories in the French EDEN Cohort. J Clin Med 2023; 12:jcm12031120. [PMID: 36769767 PMCID: PMC9917852 DOI: 10.3390/jcm12031120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/21/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
Few studies have investigated longitudinal trajectories of child socioemotional and behavioural development in relation to maternal prenatal mental health exposure or taken into consideration of the potential buffering effects of psychological intervention during pregnancy. Using data from 1135 mother-child dyads from the EDEN cohort from the general French population, Group-based trajectory modelling was used to model trajectories of behavioural and emotional characteristics measured at four timepoints via a parent-administered Strengths and Difficulties Questionnaire. Using propensity scores and inverse probability weighting to account for confounding factors, multinomial logistic regressions were used to quantify the associations with maternal symptoms of prenatal depression and anxiety. Stratified analyses were conducted by reporting psychologist and psychiatrist consultations during pregnancy. Compared to those without psychological problems, children of mothers with comorbid anxiety and depression retained a higher probability of following high and intermediate trajectories of emotional problems and a high trajectory of conduct problems throughout childhood. This increased risk was not present in the children of mothers who sought support through a prenatal psychologist or psychiatrist consultation. This article adds to a body of evidence underlining the importance of mental health care for expecting mothers.
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Affiliation(s)
- Kadri-Ann Kallas
- Social Epidemiology Research Team, Institut Pierre Louis d’Épidémiologie et de Santé Publique, INSERM U1136, Sorbonne Université, 75012 Paris, France
| | - Ketevan Marr
- Social Epidemiology Research Team, Institut Pierre Louis d’Épidémiologie et de Santé Publique, INSERM U1136, Sorbonne Université, 75012 Paris, France
| | - Simi Moirangthem
- Social Epidemiology Research Team, Institut Pierre Louis d’Épidémiologie et de Santé Publique, INSERM U1136, Sorbonne Université, 75012 Paris, France
| | - Barbara Heude
- Orchad Team, Epidemiology and Biostatistics Sorbonne Paris Cité Center, INSERM UMR1153, INRAE, Université de Paris, 75001 Paris, France
| | - Muriel Koehl
- Neurogenesis and Pathophysiology Group, Neurocentre Magendie, INSERM U1215, Université de Bordeaux, 33000 Bordeaux, France
| | - Judith van der Waerden
- Social Epidemiology Research Team, Institut Pierre Louis d’Épidémiologie et de Santé Publique, INSERM U1136, Sorbonne Université, 75012 Paris, France
- Correspondence:
| | - Naomi Downes
- Social Epidemiology Research Team, Institut Pierre Louis d’Épidémiologie et de Santé Publique, INSERM U1136, Sorbonne Université, 75012 Paris, France
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Vinther JL, Cadman T, Avraam D, Ekstrøm CT, I. A. Sørensen T, Elhakeem A, Santos AC, Pinot de Moira A, Heude B, Iñiguez C, Pizzi C, Simons E, Voerman E, Corpeleijn E, Zariouh F, Santorelli G, Inskip HM, Barros H, Carson J, Harris JR, Nader JL, Ronkainen J, Strandberg-Larsen K, Santa-Marina L, Calas L, Cederkvist L, Popovic M, Charles MA, Welten M, Vrijheid M, Azad M, Subbarao P, Burton P, Mandhane PJ, Huang RC, Wilson RC, Haakma S, Fernández-Barrés S, Turvey S, Santos S, Tough SC, Sebert S, Moraes TJ, Salika T, Jaddoe VWV, Lawlor DA, Nybo Andersen AM. Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies. PLoS Med 2023; 20:e1004036. [PMID: 36701266 PMCID: PMC9879424 DOI: 10.1371/journal.pmed.1004036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/19/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Preterm birth is the leading cause of perinatal morbidity and mortality and is associated with adverse developmental and long-term health outcomes, including several cardiometabolic risk factors and outcomes. However, evidence about the association of preterm birth with later body size derives mainly from studies using birth weight as a proxy of prematurity rather than an actual length of gestation. We investigated the association of gestational age (GA) at birth with body size from infancy through adolescence. METHODS AND FINDINGS We conducted a two-stage individual participant data (IPD) meta-analysis using data from 253,810 mother-child dyads from 16 general population-based cohort studies in Europe (Denmark, Finland, France, Italy, Norway, Portugal, Spain, the Netherlands, United Kingdom), North America (Canada), and Australasia (Australia) to estimate the association of GA with body mass index (BMI) and overweight (including obesity) adjusted for the following maternal characteristics as potential confounders: education, height, prepregnancy BMI, ethnic background, parity, smoking during pregnancy, age at child's birth, gestational diabetes and hypertension, and preeclampsia. Pregnancy and birth cohort studies from the LifeCycle and the EUCAN-Connect projects were invited and were eligible for inclusion if they had information on GA and minimum one measurement of BMI between infancy and adolescence. Using a federated analytical tool (DataSHIELD), we fitted linear and logistic regression models in each cohort separately with a complete-case approach and combined the regression estimates and standard errors through random-effects study-level meta-analysis providing an overall effect estimate at early infancy (>0.0 to 0.5 years), late infancy (>0.5 to 2.0 years), early childhood (>2.0 to 5.0 years), mid-childhood (>5.0 to 9.0 years), late childhood (>9.0 to 14.0 years), and adolescence (>14.0 to 19.0 years). GA was positively associated with BMI in the first decade of life, with the greatest increase in mean BMI z-score during early infancy (0.02, 95% confidence interval (CI): 0.00; 0.05, p < 0.05) per week of increase in GA, while in adolescence, preterm individuals reached similar levels of BMI (0.00, 95% CI: -0.01; 0.01, p 0.9) as term counterparts. The association between GA and overweight revealed a similar pattern of association with an increase in odds ratio (OR) of overweight from late infancy through mid-childhood (OR 1.01 to 1.02) per week increase in GA. By adolescence, however, GA was slightly negatively associated with the risk of overweight (OR 0.98 [95% CI: 0.97; 1.00], p 0.1) per week of increase in GA. Although based on only four cohorts (n = 32,089) that reached the age of adolescence, data suggest that individuals born very preterm may be at increased odds of overweight (OR 1.46 [95% CI: 1.03; 2.08], p < 0.05) compared with term counterparts. Findings were consistent across cohorts and sensitivity analyses despite considerable heterogeneity in cohort characteristics. However, residual confounding may be a limitation in this study, while findings may be less generalisable to settings in low- and middle-income countries. CONCLUSIONS This study based on data from infancy through adolescence from 16 cohort studies found that GA may be important for body size in infancy, but the strength of association attenuates consistently with age. By adolescence, preterm individuals have on average a similar mean BMI to peers born at term.
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Affiliation(s)
- Johan L. Vinther
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- * E-mail:
| | - Tim Cadman
- Population Health Science, Bristol Medical School, Bristol, United Kingdom
| | - Demetris Avraam
- Population Health Sciences Institute, Newcastle University, Newcastle, United Kingdom
| | - Claus T. Ekstrøm
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Thorkild I. A. Sørensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ahmed Elhakeem
- Population Health Science, Bristol Medical School, Bristol, United Kingdom
| | - Ana C. Santos
- EPIUnit–Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Angela Pinot de Moira
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Carmen Iñiguez
- Department of Statistics and Operational Research, Universitat de València, València, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- FISABIO—Universitat Jaume I—Universitat de València Epidemiology and Environmental Health Joint Research Unit, València, Spain
| | - Costanza Pizzi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Elinor Simons
- Section of Allergy and Immunology, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada
- The Children’s Hospital Research Institute of Manitoba (CHRIM), Winnipeg, Canada
| | - Ellis Voerman
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Faryal Zariouh
- Ined, Inserm, EFS, joint unit Elfe, Aubervilliers Cedex, France
| | - Gilian Santorelli
- Born In Bradford, Bradford Institute for Health Research, Bradford, United Kingdom
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Henrique Barros
- EPIUnit–Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Jennie Carson
- Telethon Kids Institute, Perth, Australia
- University of Western Australia, School of Population and Global Health, Perth, Australia
| | - Jennifer R. Harris
- Center for Fertillity and Health, The Norwegian Institute of Public Health, Oslo, Norway
| | - Johanna L. Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Justiina Ronkainen
- Center for Life-course Health research, University of Oulu, Oulu, Finland
| | | | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Biodonostia Health Research Institute, San Sebastian, Spain
- Health Department of Basque Government, Subdirectorate of Public Health of Gipuzkoa, San Sebastian, Spain
| | - Lucinda Calas
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Luise Cederkvist
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | | | - Marieke Welten
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Martine Vrijheid
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Meghan Azad
- Section of Allergy and Immunology, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada
- Developmental Origins of Chronic Diseases in Children Network (DEVOTION), Children’s Hospital, Winnipeg, Canada
- Department of Food and Human Nutritional Sciences, University of Manitoba, Winnipeg, Canada
| | - Padmaja Subbarao
- Translational Medicine Program, Department of Pediatrics, The Hospital for Sick Children, Toronto, Canada
- Department of Medicine, McMaster University, Hamilton, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Paul Burton
- Population Health Sciences Institute, Newcastle University, Newcastle, United Kingdom
| | | | - Rae-Chi Huang
- Telethon Kids Institute, Perth, Australia
- Edith Cowan University, School of Medicine and Health Sciences, Joondalup, Australia
| | - Rebecca C. Wilson
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Sido Haakma
- University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, the Netherlands
| | - Sílvia Fernández-Barrés
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Stuart Turvey
- Department of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Susana Santos
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Suzanne C. Tough
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Sylvain Sebert
- Center for Life-course Health research, University of Oulu, Oulu, Finland
| | - Theo J. Moraes
- Translational Medicine Program, Department of Pediatrics, The Hospital for Sick Children, Toronto, Canada
| | - Theodosia Salika
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Deborah A. Lawlor
- Population Health Science, Bristol Medical School, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Descarpentrie A, Bernard JY, Vandentorren S, Melchior M, Galéra C, Chia A, Chong MFF, Charles MA, Heude B, Lioret S. Prospective associations of lifestyle patterns in early childhood with socio-emotional and behavioural development and BMI: An outcome-wide analysis of the EDEN mother-child cohort. Paediatr Perinat Epidemiol 2023; 37:69-80. [PMID: 36146899 DOI: 10.1111/ppe.12926] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/29/2022] [Accepted: 09/07/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Children's energy balance-related behaviours (EBRB), comprising diet, screen time, physical activity, and sleep, combine into "lifestyle patterns", which may exert a synergistic effect on health. To date, studies investigating this synergy have primarily focused on obesity risk, without addressing other facets of health. OBJECTIVES To examine the prospective associations of preschoolers' lifestyle patterns with socio-emotional, behavioural, and body mass index (BMI) outcomes at 8 years. METHODS Participants were 876 children from the EDEN mother-child cohort. Three lifestyle patterns (unhealthy, healthy, and mixed) were previously identified at age 5, separately in boys and girls. At age 8, height and weight measures generated BMI z-scores while social-emotional and behavioural development was assessed by parents using the Strengths and Difficulties Questionnaire (SDQ). Drawing from the outcome-wide approach, sex- and outcome-specific adjusted linear regressions were fitted. RESULTS Boys' adherence to a healthy lifestyle pattern (combining a nutrient-dense diet and limited screen time) at 5 years was positively associated with prosocial behaviours (β = 0.14; 95% confidence interval [CI] 0.01, 0.26) and inversely related to hyperactivity-inattention symptoms (β = -0.12; 95% CI -0.23, -0.01) at 8 years. Girls' mixed lifestyle pattern (sugar or artificially sweetened beverages, high screen, physical activity and low sleep times) was associated with prosocial behaviours (β = 0.12; 95% CI 0.01, 0.23). There was no evidence of associations between lifestyle patterns and BMI z-scores. CONCLUSIONS Findings suggest synergistic benefits of engaging in a combination of optimal EBRBs, especially in boys, and support intervention efforts at preschool age to enhance some dimensions of their later socio-emotional and behavioural development.
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Affiliation(s)
- Alexandra Descarpentrie
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Jonathan Y Bernard
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France.,Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Stephanie Vandentorren
- Université Bordeaux, Inserm, UMR1219, Vintage Team, Bordeaux, France.,Santé publique France, French national public health agency, Saint-Maurice, France
| | - Maria Melchior
- Sorbonne Université, Inserm, IPLESP, ERES UMRS 1136, Paris, France
| | - Cédric Galéra
- Bordeaux Population Health Research Centre, INSERM U 1219, Bordeaux, France.,Université de Bordeaux, Bordeaux, France.,Department of Child and Adolescent Psychiatry, Centre Hospitalier Charles Perrens, Bordeaux, France
| | - Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Mary F-F Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Marie-Aline Charles
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Barbara Heude
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Sandrine Lioret
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
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Lioret S, Harrar F, Boccia D, Hesketh KD, Kuswara K, Van Baaren C, Maritano S, Charles MA, Heude B, Laws R. The effectiveness of interventions during the first 1,000 days to improve energy balance-related behaviors or prevent overweight/obesity in children from socio-economically disadvantaged families of high-income countries: a systematic review. Obes Rev 2023; 24:e13524. [PMID: 36394375 PMCID: PMC10078443 DOI: 10.1111/obr.13524] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/26/2022] [Accepted: 10/17/2022] [Indexed: 11/19/2022]
Abstract
This narrative systematic review examined effectiveness of interventions during pregnancy and up to 2 years of age in improving energy balance-related behaviors or prevent overweight/obesity in children from families experiencing socio-economic disadvantage. We identified 24 interventions, from 33 articles, since 1990. Overall, despite their heterogeneity and variability in internal and external validity, there was some evidence of beneficial impact of interventions on obesity risk (4/15), and associated behaviors, e.g.: breastfeeding (9/18), responsive feeding (11/16), diet (7/8), sedentary (1/3) and movement (4/7) behaviors, and sleep (1/2). The most effective interventions aimed at promoting breastfeeding commenced antenatally; this was similar for the prevention of obesity, provided the intervention continued for at least 2 years postnatally and was multi-behavioral. Effective interventions were more likely to target first-time mothers and involve professional delivery agents, multidisciplinary teams and peer groups. Among ethnic/racial minorities, interventions delivered by lay agents had some impact on dietary behavior but not weight outcomes. Co-creation with stakeholders, including parents, and adherence to theoretical frameworks were additional ingredients for more pragmatic, inclusive, non-judgmental, and effective programs. The growing body of evidence on obesity prevention interventions targeting families experiencing socio-economic disadvantage is promising for reducing early inequalities in obesity risk.
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Affiliation(s)
| | - Faryal Harrar
- Université Paris Cité, INSERM, INRAE, CRESS, Paris, France
| | - Delia Boccia
- Faculty of Public Health and Policy, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK
| | - Kylie D Hesketh
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, Australia
| | - Konsita Kuswara
- Department of Medical Sciences, Università di Torino, Cancer Epidemiology Unit, Turin, Italy
| | | | - Silvia Maritano
- Department of Medical Sciences, Università di Torino, Cancer Epidemiology Unit, Turin, Italy
| | | | - Barbara Heude
- Université Paris Cité, INSERM, INRAE, CRESS, Paris, France
| | - Rachel Laws
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, Australia
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39
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Torres Toda M, Avraam D, James Cadman T, Fossati S, de Castro M, Dedele A, Donovan G, Elhakeem A, Estarlich M, Fernandes A, Gonçalves R, Grazuleviciene R, Harris JR, Harskamp-van Ginkel MW, Heude B, Ibarluzea J, Iñiguez C, Wv Jaddoe V, Lawlor D, Lertxundi A, Lepeule J, McEachan R, Moirano G, Lt Nader J, Nybo Andersen AM, Pedersen M, Pizzi C, Roumeliotaki T, Santos S, Sunyer J, Yang T, Vafeiadi M, Gm Vrijkotte T, Nieuwenhuijsen M, Vrijheid M, Foraster M, Dadvand P. Exposure to natural environments during pregnancy and birth outcomes in 11 European birth cohorts. Environ Int 2022; 170:107648. [PMID: 36436464 DOI: 10.1016/j.envint.2022.107648] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 09/25/2022] [Accepted: 11/18/2022] [Indexed: 06/16/2023]
Abstract
Research suggests that maternal exposure to natural environments (i.e., green and blue spaces) promotes healthy fetal growth. However, the available evidence is heterogeneous across regions, with very few studies on the effects of blue spaces. This study evaluated associations between maternal exposure to natural environments and birth outcomes in 11 birth cohorts across nine European countries. This study, part of the LifeCycle project, was based on a total sample size of 69,683 newborns with harmonised data. For each participant, we calculated seven indicators of residential exposure to natural environments: surrounding greenspace in 100m, 300m, and 500m using Normalised Difference Vegetation Index (NDVI) buffers, distance to the nearest green space, accessibility to green space, distance to the nearest blue space, and accessibility to blue space. Measures of birth weight and small for gestational age (SGA) were extracted from hospital records. We used pooled linear and logistic regression models to estimate associations between exposure to the natural environment and birth outcomes, controlling for the relevant covariates. We evaluated the potential effect modification by socioeconomic status (SES) and region of Europe and the influence of ambient air pollution on the associations. In the pooled analyses, residential surrounding greenspace in 100m, 300m, and 500m buffer was associated with increased birth weight and lower odds for SGA. Higher residential distance to green space was associated with lower birth weight and higher odds for SGA. We observed close to null associations for accessibility to green space and exposure to blue space. We found stronger estimated magnitudes for those participants with lower educational levels, from more deprived areas, and living in the northern European region. Our associations did not change notably after adjustment for air pollution. These findings may support implementing policies to promote natural environments in our cities, starting in more deprived areas.
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Affiliation(s)
- Maria Torres Toda
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Demetris Avraam
- Population Health Sciences Institute, Newcastle University, Newcastle, UK; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Timothy James Cadman
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
| | - Serena Fossati
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Montserrat de Castro
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Audrius Dedele
- Department of Environmental Sciences, Faculty of Natural Sciences, Vytautas Magnus University, 53361 Akademija, Lithuania.
| | - Geoffrey Donovan
- Center for Public Health Research, Massey University-Wellington Campus, PO Box 756, Wellington 6140, New Zealand; USDA Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR 97205, USA.
| | - Ahmed Elhakeem
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Science, Bristol Medical School, University of Bristol, UK.
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain; Nursing School, Universitat de València, C/Menendez y Pelayo, s/n, 46010, Valencia, Spain.
| | - Amanda Fernandes
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
| | - Romy Gonçalves
- The Generation R Study Group (NA-2915), Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands.
| | - Regina Grazuleviciene
- Department of Environmental Sciences, Faculty of Natural Sciences, Vytautas Magnus University, 53361 Akademija, Lithuania.
| | - Jennifer R Harris
- Center for Fertility and Health, The Nowegian Institute of Public Health, Oslo, Norway.
| | - Margreet W Harskamp-van Ginkel
- Amsterdam UMC, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health research institute, Meibergdreef 9, Amsterdam, Netherlands.
| | - Barbara Heude
- Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| | - Jesús Ibarluzea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastian, Spain; Faculty of Psychology of the University of the Basque Country, 20018, San Sebastian, Spain.
| | - Carmen Iñiguez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain; Department of Statistics and Operational Research, Universitat de València, Dr. Moliner, 50 46100, Valencia, Spain.
| | - Vincent Wv Jaddoe
- The Generation R Study Group (NA-2915), Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Deborah Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Science, Bristol Medical School, University of Bristol, UK.
| | - Aitana Lertxundi
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain; Department of Preventive Medicine and Public Health, Faculty of Medicine, University of the Basque Country (UPV/EHU), 48940, Leioa, Spain.
| | - Johanna Lepeule
- Université Grenoble Alpes, Institut Albert Bonniot, équipe d'épidémiologie environnementale appliquée à la reproduction et la santé respiratoire, F-38000 Grenoble, France; Inserm, Institut Albert Bonniot, équipe d'épidémiologie environnementale appliquée à la reproduction et la santé respiratoire, F-38000 Grenoble, France.
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
| | - Giovenale Moirano
- Department of Medical Sciences, University of Turin, CPO-Piemonte, Turin, Italy.
| | - Johanna Lt Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway.
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Marie Pedersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, CPO-Piemonte, Turin, Italy.
| | - Theano Roumeliotaki
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Social Medicine, School of Medicine, University of Crete, Greece.
| | - Susana Santos
- The Generation R Study Group (NA-2915), Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, n° 135, 4050-600 Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Universidade do Porto, Rua das Taipas, n° 135, 4050-600, Portugal.
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
| | - Marina Vafeiadi
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Social Medicine, School of Medicine, University of Crete, Greece.
| | - Tanja Gm Vrijkotte
- Amsterdam UMC, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health research institute, Meibergdreef 9, Amsterdam, Netherlands.
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Maria Foraster
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Payam Dadvand
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
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40
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Fernandez-Jimenez N, Fore R, Cilleros-Portet A, Lepeule J, Perron P, Kvist T, Tian FY, Lesseur C, Binder AM, Lozano M, Martorell-Marugán J, Loke YJ, Bakulski KM, Zhu Y, Forhan A, Sammallahti S, Everson TM, Chen J, Michels KB, Belmonte T, Carmona-Sáez P, Halliday J, Daniele Fallin M, LaSalle JM, Tost J, Czamara D, Fernández MF, Gómez-Martín A, Craig JM, Gonzalez-Alzaga B, Schmidt RJ, Dou JF, Muggli E, Lacasaña M, Vrijheid M, Marsit CJ, Karagas MR, Räikkönen K, Bouchard L, Heude B, Santa-Marina L, Bustamante M, Hivert MF, Bilbao JR. A meta-analysis of pre-pregnancy maternal body mass index and placental DNA methylation identifies 27 CpG sites with implications for mother-child health. Commun Biol 2022; 5:1313. [PMID: 36446949 PMCID: PMC9709064 DOI: 10.1038/s42003-022-04267-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 11/16/2022] [Indexed: 12/05/2022] Open
Abstract
Higher maternal pre-pregnancy body mass index (ppBMI) is associated with increased neonatal morbidity, as well as with pregnancy complications and metabolic outcomes in offspring later in life. The placenta is a key organ in fetal development and has been proposed to act as a mediator between the mother and different health outcomes in children. The overall aim of the present work is to investigate the association of ppBMI with epigenome-wide placental DNA methylation (DNAm) in 10 studies from the PACE consortium, amounting to 2631 mother-child pairs. We identify 27 CpG sites at which we observe placental DNAm variations of up to 2.0% per 10 ppBMI-unit. The CpGs that are differentially methylated in placenta do not overlap with CpGs identified in previous studies in cord blood DNAm related to ppBMI. Many of the identified CpGs are located in open sea regions, are often close to obesity-related genes such as GPX1 and LGR4 and altogether, are enriched in cancer and oxidative stress pathways. Our findings suggest that placental DNAm could be one of the mechanisms by which maternal obesity is associated with metabolic health outcomes in newborns and children, although further studies will be needed in order to corroborate these findings.
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Affiliation(s)
- Nora Fernandez-Jimenez
- grid.11480.3c0000000121671098Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU) and Biocruces-Bizkaia Health Research Institute, Leioa, Basque Country Spain
| | - Ruby Fore
- grid.38142.3c000000041936754XDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA USA
| | - Ariadna Cilleros-Portet
- grid.11480.3c0000000121671098Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU) and Biocruces-Bizkaia Health Research Institute, Leioa, Basque Country Spain
| | - Johanna Lepeule
- grid.418110.d0000 0004 0642 0153University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, Grenoble, France
| | - Patrice Perron
- grid.411172.00000 0001 0081 2808Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CHUS), Sherbrooke, QC Canada
| | - Tuomas Kvist
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Fu-Ying Tian
- grid.189967.80000 0001 0941 6502Gangarosa Department of Environmental Health, Rollins School of Public Health at Emory University, Atlanta, GA USA
| | - Corina Lesseur
- grid.59734.3c0000 0001 0670 2351Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Alexandra M. Binder
- grid.410445.00000 0001 2188 0957Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI USA ,grid.19006.3e0000 0000 9632 6718Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA USA
| | - Manuel Lozano
- grid.5338.d0000 0001 2173 938XEpidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain ,grid.5338.d0000 0001 2173 938XPreventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, Valencia, Spain
| | - Jordi Martorell-Marugán
- grid.4489.10000000121678994Department of Statistics and Operations Research, University of Granada, Granada, Spain ,grid.4489.10000000121678994Bioinformatics Unit. GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, Granada, Spain
| | - Yuk J. Loke
- grid.1058.c0000 0000 9442 535XMurdoch Children’s Research Institute, Parkville, VIC Australia ,grid.1008.90000 0001 2179 088XDepartment of Paediatrics, University of Melbourne, Parkville, VIC Australia
| | - Kelly M. Bakulski
- grid.214458.e0000000086837370Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Yihui Zhu
- grid.27860.3b0000 0004 1936 9684Department of Medical Microbiology and Immunology, MIND Institute, Genome Center, University of California, Davis, CA USA
| | - Anne Forhan
- grid.508487.60000 0004 7885 7602Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Sara Sammallahti
- grid.5645.2000000040459992XDepartment of Child and Adolescent Psychiatry and Psychology, Erasmus MC Rotterdam, The Netherlands
| | - Todd M. Everson
- grid.189967.80000 0001 0941 6502Gangarosa Department of Environmental Health, Rollins School of Public Health at Emory University, Atlanta, GA USA ,grid.189967.80000 0001 0941 6502Department of Epidemiology, Rollins School of Public health at Emory University, Atlanta, GA USA
| | - Jia Chen
- grid.59734.3c0000 0001 0670 2351Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Karin B. Michels
- grid.19006.3e0000 0000 9632 6718Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA USA ,grid.5963.9Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Thalia Belmonte
- grid.411342.10000 0004 1771 1175Health Research Institute of Asturias, ISPA and Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cadiz, Spain
| | - Pedro Carmona-Sáez
- grid.4489.10000000121678994Department of Statistics and Operations Research, University of Granada, Granada, Spain ,grid.4489.10000000121678994Bioinformatics Unit. GENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, Granada, Spain
| | - Jane Halliday
- grid.1058.c0000 0000 9442 535XMurdoch Children’s Research Institute, Parkville, VIC Australia ,grid.1008.90000 0001 2179 088XDepartment of Paediatrics, University of Melbourne, Parkville, VIC Australia
| | - M. Daniele Fallin
- grid.21107.350000 0001 2171 9311Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Janine M. LaSalle
- grid.27860.3b0000 0004 1936 9684Department of Medical Microbiology and Immunology, MIND Institute, Genome Center, University of California, Davis, CA USA
| | - Jorg Tost
- grid.418135.a0000 0004 0641 3404Laboratory for Epigenetics & Environment, Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie François Jacob, Evry, France
| | - Darina Czamara
- grid.419548.50000 0000 9497 5095Max-Planck-Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Mariana F. Fernández
- grid.4489.10000000121678994University of Granada, Center for Biomedical Research (CIBM), Granada, Spain ,grid.507088.2Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain ,grid.466571.70000 0004 1756 6246CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Antonio Gómez-Martín
- grid.507088.2Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain ,grid.413740.50000 0001 2186 2871Andalusian School of Public Health (EASP), Granada, Spain
| | - Jeffrey M. Craig
- grid.1058.c0000 0000 9442 535XMurdoch Children’s Research Institute, Parkville, VIC Australia ,grid.1021.20000 0001 0526 7079Deakin University, IMPACT – the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia
| | - Beatriz Gonzalez-Alzaga
- grid.507088.2Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain ,grid.413740.50000 0001 2186 2871Andalusian School of Public Health (EASP), Granada, Spain
| | - Rebecca J. Schmidt
- grid.27860.3b0000 0004 1936 9684Department of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA USA
| | - John F. Dou
- grid.214458.e0000000086837370Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Evelyne Muggli
- grid.1058.c0000 0000 9442 535XMurdoch Children’s Research Institute, Parkville, VIC Australia ,grid.1008.90000 0001 2179 088XDepartment of Paediatrics, University of Melbourne, Parkville, VIC Australia
| | - Marina Lacasaña
- grid.507088.2Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain ,grid.466571.70000 0004 1756 6246CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain ,grid.413740.50000 0001 2186 2871Andalusian School of Public Health (EASP), Granada, Spain
| | - Martine Vrijheid
- grid.466571.70000 0004 1756 6246CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain ,grid.434607.20000 0004 1763 3517ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain ,grid.5612.00000 0001 2172 2676Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Carmen J. Marsit
- grid.189967.80000 0001 0941 6502Gangarosa Department of Environmental Health, Rollins School of Public Health at Emory University, Atlanta, GA USA ,grid.189967.80000 0001 0941 6502Department of Epidemiology, Rollins School of Public health at Emory University, Atlanta, GA USA
| | - Margaret R. Karagas
- grid.86715.3d0000 0000 9064 6198Department of Biochemistry and Functional Genomics, Universite de Sherbrooke, Sherbrooke, QC Canada
| | - Katri Räikkönen
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Luigi Bouchard
- grid.86715.3d0000 0000 9064 6198Department of Biochemistry and Functional Genomics, Universite de Sherbrooke, Sherbrooke, QC Canada ,grid.459278.50000 0004 4910 4652Department of Laboratory Medicine, CIUSSS du Saguenay–Lac-St-Jean – Hôpital Universitaire de Chicoutimi, Chicoutimi, QC Canada
| | - Barbara Heude
- grid.508487.60000 0004 7885 7602Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Loreto Santa-Marina
- grid.466571.70000 0004 1756 6246CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain ,grid.432380.eBiodonostia, Epidemiology and Public Health Area, Environmental Epidemiology and Child Development Group, 20014 San Sebastian, Basque Country Spain ,Health Department of Basque Government, Sub-directorate of Public Health of Gipuzkoa, San Sebastian, Basque Country Spain
| | - Mariona Bustamante
- grid.466571.70000 0004 1756 6246CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain ,grid.434607.20000 0004 1763 3517ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain ,grid.5612.00000 0001 2172 2676Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Marie-France Hivert
- grid.38142.3c000000041936754XDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA USA ,grid.411172.00000 0001 0081 2808Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CHUS), Sherbrooke, QC Canada ,grid.32224.350000 0004 0386 9924Diabetes Unit, Massachusetts General Hospital, Boston, MA USA
| | - Jose Ramon Bilbao
- grid.11480.3c0000000121671098Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU) and Biocruces-Bizkaia Health Research Institute, Leioa, Basque Country Spain ,grid.512890.7CIBER of diabetes and associated metabolic disorders (CIBERDEM), Madrid, Spain
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41
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Zugna D, Popovic M, Fasanelli F, Heude B, Scelo G, Richiardi L. Applied causal inference methods for sequential mediators. BMC Med Res Methodol 2022; 22:301. [PMID: 36424556 PMCID: PMC9686042 DOI: 10.1186/s12874-022-01764-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 10/19/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Mediation analysis aims at estimating to what extent the effect of an exposure on an outcome is explained by a set of mediators on the causal pathway between the exposure and the outcome. The total effect of the exposure on the outcome can be decomposed into an indirect effect, i.e. the effect explained by the mediators jointly, and a direct effect, i.e. the effect unexplained by the mediators. However finer decompositions are possible in presence of independent or sequential mediators. METHODS We review four statistical methods to analyse multiple sequential mediators, the inverse odds ratio weighting approach, the inverse probability weighting approach, the imputation approach and the extended imputation approach. These approaches are compared and implemented using a case-study with the aim to investigate the mediating role of adverse reproductive outcomes and infant respiratory infections in the effect of maternal pregnancy mental health on infant wheezing in the Ninfea birth cohort. RESULTS Using the inverse odds ratio weighting approach, the direct effect of maternal depression or anxiety in pregnancy is equal to a 59% (95% CI: 27%,94%) increased prevalence of infant wheezing and the mediated effect through adverse reproductive outcomes is equal to a 3% (95% CI: -6%,12%) increased prevalence of infant wheezing. When including infant lower respiratory infections in the mediation pathway, the direct effect decreases to 57% (95% CI: 25%,92%) and the indirect effect increases to 5% (95% CI: -5%,15%). The estimates of the effects obtained using the weighting and the imputation approaches are similar. The extended imputation approach suggests that the small joint indirect effect through adverse reproductive outcomes and lower respiratory infections is due entirely to the contribution of infant lower respiratory infections, and not to an increased prevalence of adverse reproductive outcomes. CONCLUSIONS The four methods revealed similar results of small mediating role of adverse reproductive outcomes and early respiratory tract infections in the effect of maternal pregnancy mental health on infant wheezing. The choice of the method depends on what is the effect of main interest, the type of the variables involved in the analysis (binary, categorical, count or continuous) and the confidence in specifying the models for the exposure, the mediators and the outcome.
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Affiliation(s)
- D Zugna
- grid.7605.40000 0001 2336 6580Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126 Turin, Italy
| | - M Popovic
- grid.7605.40000 0001 2336 6580Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126 Turin, Italy
| | - F Fasanelli
- grid.7605.40000 0001 2336 6580Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126 Turin, Italy
| | - B Heude
- grid.513249.80000 0004 8513 0030Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France
| | - G Scelo
- grid.7605.40000 0001 2336 6580Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126 Turin, Italy
| | - L Richiardi
- grid.7605.40000 0001 2336 6580Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126 Turin, Italy
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Maitre L, Bustamante M, Hernández-Ferrer C, Thiel D, Lau CHE, Siskos AP, Vives-Usano M, Ruiz-Arenas C, Pelegrí-Sisó D, Robinson O, Mason D, Wright J, Cadiou S, Slama R, Heude B, Casas M, Sunyer J, Papadopoulou EZ, Gutzkow KB, Andrusaityte S, Grazuleviciene R, Vafeiadi M, Chatzi L, Sakhi AK, Thomsen C, Tamayo I, Nieuwenhuijsen M, Urquiza J, Borràs E, Sabidó E, Quintela I, Carracedo Á, Estivill X, Coen M, González JR, Keun HC, Vrijheid M. Multi-omics signatures of the human early life exposome. Nat Commun 2022; 13:7024. [PMID: 36411288 PMCID: PMC9678903 DOI: 10.1038/s41467-022-34422-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 10/25/2022] [Indexed: 11/23/2022] Open
Abstract
Environmental exposures during early life play a critical role in life-course health, yet the molecular phenotypes underlying environmental effects on health are poorly understood. In the Human Early Life Exposome (HELIX) project, a multi-centre cohort of 1301 mother-child pairs, we associate individual exposomes consisting of >100 chemical, outdoor, social and lifestyle exposures assessed in pregnancy and childhood, with multi-omics profiles (methylome, transcriptome, proteins and metabolites) in childhood. We identify 1170 associations, 249 in pregnancy and 921 in childhood, which reveal potential biological responses and sources of exposure. Pregnancy exposures, including maternal smoking, cadmium and molybdenum, are predominantly associated with child DNA methylation changes. In contrast, childhood exposures are associated with features across all omics layers, most frequently the serum metabolome, revealing signatures for diet, toxic chemical compounds, essential trace elements, and weather conditions, among others. Our comprehensive and unique resource of all associations ( https://helixomics.isglobal.org/ ) will serve to guide future investigation into the biological imprints of the early life exposome.
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Affiliation(s)
- Léa Maitre
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mariona Bustamante
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Carles Hernández-Ferrer
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Denise Thiel
- Department of Mathematics, Imperial College London, South Kensington, London, UK
| | - Chung-Ho E Lau
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Alexandros P Siskos
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer, Imperial College London, London, UK
| | - Marta Vives-Usano
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Carlos Ruiz-Arenas
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Dolors Pelegrí-Sisó
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Oliver Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Solène Cadiou
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences (IAB), Inserm, CNRS, Université Grenoble Alpes, Grenoble, France
| | - Rémy Slama
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences (IAB), Inserm, CNRS, Université Grenoble Alpes, Grenoble, France
| | - Barbara Heude
- Centre for Research in Epidemiology and Statistics (CRESS), Inserm, Université de Paris, Paris, France
| | - Maribel Casas
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jordi Sunyer
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Eleni Z Papadopoulou
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Kristine B Gutzkow
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | | | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Leda Chatzi
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Amrit K Sakhi
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Cathrine Thomsen
- Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ibon Tamayo
- Computational Biology program, CIMA-University of Navarra, Pamplona, Spain
| | - Mark Nieuwenhuijsen
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jose Urquiza
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Eva Borràs
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Eduard Sabidó
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Inés Quintela
- Medicine Genomics Group, Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), University of Santiago de Compostela, CIMUS, Santiago de Compostela, Spain
| | - Ángel Carracedo
- Medicine Genomics Group, Centro de Investigación Biomédica en Red Enfermedades Raras (CIBERER), University of Santiago de Compostela, CIMUS, Santiago de Compostela, Spain
- Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Servicio Gallego de Salud (SERGAS), Santiago de Compostela, Galicia, Spain
| | - Xavier Estivill
- Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Muireann Coen
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Oncology Safety, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Juan R González
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Hector C Keun
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Cancer Metabolism & Systems Toxicology Group, Division of Cancer, Department of Surgery & Cancer, Imperial College London, London, UK
| | - Martine Vrijheid
- Institute for Global Health (ISGlobal), Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
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Cissé AH, Taine M, Tafflet M, de Lauzon‐Guillain B, Clément K, Khalfallah O, Davidovic L, Lioret S, Charles MA, Heude B. Cord blood leptin level and a common variant of its receptor as determinants of the BMI trajectory: The EDEN mother-child cohort. Pediatr Obes 2022; 17:e12955. [PMID: 35747935 PMCID: PMC9787343 DOI: 10.1111/ijpo.12955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 05/24/2022] [Accepted: 06/01/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Cord blood leptin is an indicator of neonatal fat mass and could shape postnatal adiposity trajectories. Investigating genetic polymorphisms of the leptin receptor gene (LEPR) could help understand the mechanisms involved. OBJECTIVES We aimed to investigate the association of cord blood leptin level and the LEPR rs9436303 polymorphism, with body mass index (BMI) at adiposity peak (AP) and age at adiposity rebound (AR). METHODS In the EDEN cohort, BMI at AP and age at AR were estimated with polynomial mixed models, for 1713 and 1415 children, respectively. Multivariable linear regression models allowed for examining the associations of cord blood leptin level and LEPR rs9436303 genotype with BMI at AP and age at AR adjusted for potential confounders including birth size groups. We also tested interactions between cord blood leptin level and rs9436303 genotype. RESULTS Increased leptin level was associated with reduced BMI at AP and early age at AR (comparing the highest quintile of leptin level to the others). Rs9436303 G-allele carriage was associated with increased BMI at AP and later age at AR but did not modulate the association with leptin level. CONCLUSION These results illustrate the role of early life body composition and the intrauterine environment in the programming of adiposity in childhood.
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Affiliation(s)
- Aminata H. Cissé
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | - Marion Taine
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | - Muriel Tafflet
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | | | - Karine Clément
- NutriOmics Research Unit, Assistance Publique‐Hôpitaux de Paris, Pitié‐Salpêtrière Hopital, Nutrition Department ParisSorbonne Université, INSERMParisFrance
| | - Olfa Khalfallah
- Institut de Pharmacologie Moléculaire et Cellulaire, CNRS, INSERM, Université Nice Côte d'Azur, UMR7275, UMR_SValbonneFrance
| | - Laetitia Davidovic
- Institut de Pharmacologie Moléculaire et Cellulaire, CNRS, INSERM, Université Nice Côte d'Azur, UMR7275, UMR_SValbonneFrance
| | - Sandrine Lioret
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | - Marie A. Charles
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
| | - Barbara Heude
- Centre for Research in Epidemiology and StatisticSUniversité de Paris‐cité, INSERM, INRAEParisFrance
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Dow C, Lorthe E, Marchand-Martin L, Galera C, Tafflet M, Ancel PY, Charles MA, Heude B. Maternal pre-pregnancy obesity and offspring hyperactivity-inattention symptoms at 5 years in preterm and term children: a multi-cohort analysis. Sci Rep 2022; 12:18190. [PMID: 36307528 PMCID: PMC9616941 DOI: 10.1038/s41598-022-22750-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 10/19/2022] [Indexed: 12/31/2022] Open
Abstract
The objective of this study was to determine the relationship between maternal pre-pregnancy body mass index (BMI) and child hyperactivity-inattention symptoms (HIS) at 5 years, including preterm and term-born children, and to determine whether this association varied with gestational age. Maternal pre-pregnancy BMI and offspring HIS were assessed in 10,898 participants born ≥ 33 weeks of gestation from the ELFE cohort and 2646 children born between 23 and 34 weeks from the EPIPAGE 2 cohort. Reported pre-pregnancy weight (kg) and measured height (m) were collected from mothers at inclusion and used to classify BMI (kg/m2). Child HIS were evaluated using the Strengths and Difficulties Questionnaire around 5 years of age. Logistic regression estimated odds ratios (OR) of a high HIS score (≥ 90th percentile) in the ELFE cohort and generalized estimated equations were used in EPIPAGE 2 to account for non-independence of multiple births. As a negative control, paternal BMI was also considered as an exposure of interest in sensitivity analyses. Maternal pre-pregnancy obesity and overweight were associated with child HIS at 5 years in ELFE (adjusted OR [aOR] for obesity 1.27 [1.06, 1.53]; overweight aOR 1.16 [1.00, 1.36]) and pre-pregnancy obesity was associated with high HIS scores in preterm infants of EPIPAGE 2 (aOR 1.48 [1.06, 2.08]). In ELFE, the magnitude of the association increased with decreasing gestational age (interaction p = 0.02). High maternal pre-pregnancy BMI is associated with greater likelihood of high HIS scores in both at-term and preterm children at 5 years of age.
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Affiliation(s)
- Courtney Dow
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Elsa Lorthe
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France ,grid.150338.c0000 0001 0721 9812Unit of Population Epidemiology, Department of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Laetitia Marchand-Martin
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Cédric Galera
- grid.412041.20000 0001 2106 639XInserm, Bordeaux Population Health Center, UMR 1219, Univ. Bordeaux, 33000 Bordeaux, France ,Centre Hospitalier Perrens, Bordeaux, France ,Unit on Children’s Psychosocial Maladjustment, Montreal, QC Canada
| | - Muriel Tafflet
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Pierre-Yves Ancel
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Marie-Aline Charles
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Barbara Heude
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
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Hough I, Rolland M, Guilbert A, Seyve E, Heude B, Slama R, Lyon-Caen S, Pin I, Chevrier C, Kloog I, Lepeule J. Early delivery following chronic and acute ambient temperature exposure: a comprehensive survival approach. Int J Epidemiol 2022:6765151. [DOI: 10.1093/ije/dyac190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/16/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Ambient temperature, particularly heat, is increasingly acknowledged as a trigger for preterm delivery but study designs have been limited and results mixed. We aimed to comprehensively evaluate the association between ambient temperature throughout pregnancy and preterm delivery.
Methods
We estimated daily temperature throughout pregnancy using a cutting-edge spatiotemporal model for 5347 live singleton births from three prospective cohorts in France, 2002–2018. We performed Cox regression (survival analysis) with distributed lags to evaluate time-varying associations with preterm birth simultaneously controlling for exposure during the first 26 weeks and last 30 days of pregnancy. We examined weekly mean, daytime, night-time and variability of temperature, and heatwaves accounting for adaptation to location and season.
Results
Preterm birth risk was higher following cold (5th vs 50th percentile of mean temperature) 7–9 weeks after conception [relative risk (RR): 1.3, 95% CI: 1.0–1.6 for 2°C vs 11.6°C] and 10–4 days before delivery (RR: 1.6, 95% CI: 1.1–2.1 for 1.2°C vs 12.1°C). Night-time heat (95th vs 50th percentile of minimum temperature; 15.7°C vs 7.4°C) increased risk when exposure occurred within 5 weeks of conception (RR: 2.0, 95% CI: 1.05–3.8) or 20–26 weeks after conception (RR: 2.9, 95% CI: 1.2–6.8). Overall and daytime heat (high mean and maximum temperature) showed consistent effects. We found no clear associations with temperature variability or heatwave indicators, suggesting they may be less relevant for preterm birth.
Conclusions
In a temperate climate, night-time heat and chronic and acute cold exposures were associated with increased risk of preterm birth. These results suggest night-time heat as a relevant indicator. In the context of rising temperatures and more frequent weather hazards, these results should inform public health policies to reduce the growing burden of preterm births.
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Affiliation(s)
- Ian Hough
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev , Be’er Sheva, Israel
| | - Matthieu Rolland
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
| | - Ariane Guilbert
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
| | - Emie Seyve
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
- Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS) , Paris, France
| | - Barbara Heude
- Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS) , Paris, France
| | - Rémy Slama
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
| | - Sarah Lyon-Caen
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
| | - Isabelle Pin
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
- Department of Paediatric Pneumology, Grenoble Teaching Hospital , La Tronche, France
| | - Cécile Chevrier
- Université Rennes, INSERM, EHESP, IRSET (Research Institute for Environmental and Occupational Health) , Rennes, France
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev , Be’er Sheva, Israel
| | - Johanna Lepeule
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
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Broséus L, Vaiman D, Tost J, Martin CRS, Jacobi M, Schwartz JD, Béranger R, Slama R, Heude B, Lepeule J. Maternal blood pressure associates with placental DNA methylation both directly and through alterations in cell-type composition. BMC Med 2022; 20:397. [PMID: 36266660 PMCID: PMC9585724 DOI: 10.1186/s12916-022-02610-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 10/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Maternal blood pressure levels reflect cardiovascular adaptation to pregnancy and proper maternal-fetal exchanges through the placenta and are very sensitive to numerous environmental stressors. Maternal hypertension during pregnancy has been associated with impaired placental functions and with an increased risk for children to suffer from cardiovascular and respiratory diseases later on. Investigating changes in placental DNA methylation levels and cell-type composition in association with maternal blood pressure could help elucidate its relationships with placental and fetal development. METHODS Taking advantage of a large cohort of 666 participants, we investigated the association between epigenome-wide DNA methylation patterns in the placenta, measured using the Infinium HumanMethylation450 BeadChip, placental cell-type composition, estimated in silico, and repeated measurements of maternal steady and pulsatile blood pressure indicators during pregnancy. RESULTS At the site-specific level, no significant association was found between maternal blood pressure and DNA methylation levels after correction for multiple testing (false discovery rate < 0.05), but 5 out of 24 previously found CpG associations were replicated (p-value < 0.05). At the regional level, our analyses highlighted 64 differentially methylated regions significantly associated with at least one blood pressure component, including 35 regions associated with mean arterial pressure levels during late pregnancy. These regions were found enriched for genes implicated in lung development and diseases. Further mediation analyses show that a significant part of the association between steady blood pressure-but not pulsatile pressure-and placental methylation can be explained by alterations in placental cell-type composition. In particular, elevated blood pressure levels are associated with a decrease in the ratio between mesenchymal stromal cells and syncytiotrophoblasts, even in the absence of preeclampsia. CONCLUSIONS This study provides the first evidence that the association between maternal steady blood pressure during pregnancy and placental DNA methylation is both direct and partly explained by changes in cell-type composition. These results could hint at molecular mechanisms linking maternal hypertension to lung development and early origins of childhood respiratory problems and at the importance of controlling maternal blood pressure during pregnancy.
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Affiliation(s)
- Lucile Broséus
- University Grenoble Alpes, INSERM, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Grenoble, France.
| | - Daniel Vaiman
- From Gametes to Birth, Institut Cochin, U1016 INSERM, UMR 8104 CNRS, Paris-Descartes University, Paris, France
| | - Jörg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, University Paris Saclay, Evry, France
| | - Camino Ruano San Martin
- From Gametes to Birth, Institut Cochin, U1016 INSERM, UMR 8104 CNRS, Paris-Descartes University, Paris, France
| | - Milan Jacobi
- University Grenoble Alpes, INSERM, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Grenoble, France
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rémi Béranger
- Univ. Rennes, CHU Rennes, INSERM, EHESP, IRSET (Institut de recherche en santé, environnement et travail), UMR 1085, Rennes, France
| | - Rémy Slama
- University Grenoble Alpes, INSERM, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Grenoble, France
| | - Barbara Heude
- Univ. Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Johanna Lepeule
- University Grenoble Alpes, INSERM, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Grenoble, France.
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Aubert AM, Chen LW, Shivappa N, Cooper C, Crozier SR, Duijts L, Forhan A, Hanke W, Harvey NC, Jankowska A, Kelleher CC, de Lauzon-Guillain B, McAuliffe FM, Mensink-Bout SM, Polanska K, Relton CL, Suderman M, Hebert JR, Phillips CM, Bernard JY, Heude B. Predictors of maternal dietary quality and dietary inflammation during pregnancy: An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium. Clin Nutr 2022; 41:1991-2002. [PMID: 35964423 DOI: 10.1016/j.clnu.2022.06.042] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 06/10/2022] [Accepted: 06/30/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND & AIMS Maternal diet during pregnancy is a modifiable behaviour which plays an important role in maternal, neonatal and child health outcomes. Thus, knowledge of predictors of dietary quality and dietary inflammatory potential in European countries may contribute to developing maternal diet-related public health policies that target specific at-risk populations in Europe. METHODS We used harmonised data from >26,000 pregnant women enrolled in the ALSPAC, EDEN, Generation R, Lifeways, REPRO_PL, ROLO and SWS cohorts, as part of the ALPHABET consortium. Maternal dietary quality and inflammatory potential were assessed using the Dietary Approaches to Stop Hypertension (DASH) and the energy-adjusted Dietary Inflammatory Index (E-DII). We conducted an individual participant data meta-analysis to investigate the maternal sociodemographic, health and behavioural predictors of maternal diet before and during pregnancy. RESULTS DASH and E-DII scores were moderately correlated: from -0.63 (95% CI: -0.66, -0.59) to -0.48 (95% CI: -0.49, -0.47) across cohorts. Higher maternal age, education, household income, and physical activity during pregnancy were associated with a better dietary quality and a more anti-inflammatory diet. Conversely, multiparity and smoking during pregnancy were associated with a poorer dietary quality and a more proinflammatory diet. Women with obesity had a poorer pregnancy dietary quality than women with a normal body mass index range. CONCLUSIONS The results will help identify population subgroups who may benefit from targeted public health strategies and interventions aimed at improving women's dietary quality during pregnancy.
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Affiliation(s)
- Adrien M Aubert
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| | - Ling-Wei Chen
- School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), 117609, Singapore.
| | - Nitin Shivappa
- Department of Epidemiology and Biostatistics and Cancer Prevention and Control Program Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital Southampton, Southampton SO16 6YD, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX1 2JD, UK.
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital Southampton, Southampton SO16 6YD, UK; NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, Southampton SO16 7NP, UK.
| | - Liesbeth Duijts
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center Rotterdam, 3000 CB Rotterdam, the Netherlands; Department of Pediatrics, Division of Neonatology, Erasmus MC, University Medical Center Rotterdam, 3000 CB Rotterdam, the Netherlands.
| | - Anne Forhan
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| | - Wojciech Hanke
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland.
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital Southampton, Southampton SO16 6YD, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
| | - Agnieszka Jankowska
- Department of Environmental and Occupational Health Hazards, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland.
| | - Cecily C Kelleher
- School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Blandine de Lauzon-Guillain
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| | - Fionnuala M McAuliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin 2, Ireland.
| | - Sara M Mensink-Bout
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center Rotterdam, 3000 CB Rotterdam, the Netherlands.
| | - Kinga Polanska
- Department of Environmental and Occupational Health Hazards, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland.
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.
| | - James R Hebert
- Department of Epidemiology and Biostatistics and Cancer Prevention and Control Program Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
| | - Catherine M Phillips
- School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Jonathan Y Bernard
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France; Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), 117609, Singapore.
| | - Barbara Heude
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
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Taine M, Heude B, Chalumeau M. Pharmacoepidemiology: A key complementary tool to evaluate the paediatric exposome. Paediatr Perinat Epidemiol 2022; 36:738-740. [PMID: 35821649 DOI: 10.1111/ppe.12907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 05/22/2022] [Accepted: 05/29/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Marion Taine
- Obstetrical, Perinatal and Paediatric Epidemiology Research Team, Centre of Research in Epidemiology and StatisticS, U1153 Inserm, Université Paris Cité, Paris, France
| | - Barbara Heude
- Early life Research on later Health, Centre of Research in Epidemiology and StatisticS, U1153 Inserm, Université Paris Cité, Paris, France
| | - Martin Chalumeau
- Obstetrical, Perinatal and Paediatric Epidemiology Research Team, Centre of Research in Epidemiology and StatisticS, U1153 Inserm, Université Paris Cité, Paris, France.,Department of General Paediatrics and Paediatric Infectious Diseases, Necker-Enfants Malades Hospital, AP-HP, Université Paris Cité, Paris, France
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49
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Guez A, Piazza M, Pinheiro-Chagas P, Peyre H, Heude B, Ramus F. Preschool language and visuospatial skills respectively predict multiplication and addition/subtraction skills in middle school children. Dev Sci 2022; 26:e13316. [PMID: 36028996 DOI: 10.1111/desc.13316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 05/13/2022] [Accepted: 07/25/2022] [Indexed: 11/03/2022]
Abstract
A converging body of evidence from neuroimaging, behavioral and neuropsychology studies suggests that different arithmetic operations rely on distinct neuro-cognitive processes: while addition and subtraction may rely more on visuospatial reasoning, multiplication would depend more on verbal abilities. In this paper, we tested this hypothesis in a longitudinal study measuring language and visuospatial skills in 358 preschoolers, and testing their mental calculation skills at the beginning of middle school. Language skills at 5.5 years significantly predicted multiplication, but not addition nor subtraction scores at 11.5 years. Conversely, early visuospatial skills predicted addition and subtraction, but not multiplication scores. These results provide strong support for the existence of a double dissociation in mental arithmetic operations, and demonstrate the existence of long-lasting links between language/visuospatial skills and specific calculation abilities. Using structural equation modelling, we analyzed longitudinal data from 358 children. Language skills in preschool significantly predicted multiplication, but not addition nor subtraction scores in middle school. The reverse was true for preschool visuo-spatial skills. Importantly, this pattern remained unchanged when we controlled addition and multiplication operations for overall difficulty and for the magnitude of the operands. These results provide strong support for the existence of a double dissociation in mental arithmetic operations. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Ava Guez
- LSCP, Département d'études cognitives, ENS, EHESS, PSL University, CNRS, Paris, France
| | - Manuela Piazza
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, TN, Italy
| | - Pedro Pinheiro-Chagas
- Laboratory of Behavioral and Cognitive Neuroscience, Stanford Human Intracranial Cognitive Electrophysiology Program, Stanford University, Stanford, CA, 94305, USA
| | - Hugo Peyre
- LSCP, Département d'études cognitives, ENS, EHESS, PSL University, CNRS, Paris, France.,Department of Child and Adolescent Psychiatry, Robert Debré Hospital, APHP, Paris, France.,INSERM U1141, Université Paris Diderot, Sorbonne Paris Cité, DHU Protect, Paris, France
| | - Barbara Heude
- Université de Paris, CRESS, INSERM, INRAE, F-75004, Paris, France
| | - Franck Ramus
- LSCP, Département d'études cognitives, ENS, EHESS, PSL University, CNRS, Paris, France
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50
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de Prado-Bert P, Warembourg C, Dedele A, Heude B, Borràs E, Sabidó E, Aasvang GM, Lepeule J, Wright J, Urquiza J, Gützkow KB, Maitre L, Chatzi L, Casas M, Vafeiadi M, Nieuwenhuijsen MJ, de Castro M, Grazuleviciene R, McEachan RRC, Basagaña X, Vrijheid M, Sunyer J, Bustamante M. Short- and medium-term air pollution exposure, plasmatic protein levels and blood pressure in children. Environ Res 2022; 211:113109. [PMID: 35292243 DOI: 10.1016/j.envres.2022.113109] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 02/23/2022] [Accepted: 03/08/2022] [Indexed: 05/26/2023]
Abstract
Exposure to air pollution influences children's health, however, the biological mechanisms underlying these effects are not completely elucidated. We investigated the association between short- and medium-term outdoor air pollution exposure with protein profiles and their link with blood pressure in 1170 HELIX children aged 6-11 years. Different air pollutants (NO2, PM10, PM2.5, and PM2.5abs) were estimated based on residential and school addresses at three different windows of exposure (1-day, 1-week, and 1-year before clinical and molecular assessment). Thirty-six proteins, including adipokines, cytokines, or apolipoproteins, were measured in children's plasma using Luminex. Systolic and diastolic blood pressure (SBP and DBP) were measured following a standardized protocol. We performed an association study for each air pollutant at each location and time window and each outcome, adjusting for potential confounders. After correcting for multiple-testing, hepatocyte growth factor (HGF) and interleukin 8 (IL8) levels were positively associated with 1-week home exposure to some of the pollutants (NO2, PM10, or PM2.5). NO2 1-week home exposure was also related to higher SBP. The mediation study suggested that HGF could explain 19% of the short-term effect of NO2 on blood pressure, but other study designs are needed to prove the causal directionality between HGF and blood pressure.
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Affiliation(s)
- Paula de Prado-Bert
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Charline Warembourg
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), UMR_S 1085, F-35000, Rennes, France
| | - Audrius Dedele
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, F-75004 Paris, France
| | - Eva Borràs
- Universitat Pompeu Fabra (UPF), Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain
| | - Eduard Sabidó
- Universitat Pompeu Fabra (UPF), Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain
| | - Gunn Marit Aasvang
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Johanna Lepeule
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford Royal, UK
| | - Jose Urquiza
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Kristine B Gützkow
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Léa Maitre
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, USA; Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Maribel Casas
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Mark J Nieuwenhuijsen
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Montserrat de Castro
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford Royal, UK
| | - Xavier Basagaña
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jordi Sunyer
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mariona Bustamante
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain.
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