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Binter AC, Ghassabian A, Zou R, El Marroun H, Lertxundi A, Switkowski KM, Estarlich M, Rodríguez-Dehli AC, Esplugues A, Vrijkotte T, Sunyer J, Santa-Marina L, Fernández-Somoano A, Polanska K, McEachan RRC, Oken E, Tiemeier H, Guxens M. Associations of Gestational Exposure to Air Pollution With Maternal Vitamin D Levels: A Meta-Analysis. J Clin Endocrinol Metab 2025; 110:1410-1418. [PMID: 38870315 DOI: 10.1210/clinem/dgae395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/22/2024] [Accepted: 06/07/2024] [Indexed: 06/15/2024]
Abstract
CONTEXT Maternal vitamin D level is an important determinant of pregnancy and child health outcomes. Exposure to air pollution is suspected to increase the risk of vitamin D deficiency, but the evidence is scarce. OBJECTIVE We investigated the association between air pollution during pregnancy and maternal vitamin D levels. METHODS A total of 15 935 pregnant women from 5 birth cohorts in Europe and the United States were included. Averaged concentrations of nitrogen oxides, fine and coarse particles, and composition of fine particles from conception until vitamin D measurement were estimated at participants' residential addresses using land-use regression or other spatiotemporal models. Cohorts measured vitamin D as 25(OH)D or 25(OH)D3 levels in serum or plasma at early or mid-pregnancy. We defined suboptimal vitamin D levels as levels below 20 ng/mL. We performed logistic regression models for each cohort to estimate the association between air pollution exposure and suboptimal vitamin D levels and pooled cohort-specific estimates in a random-effect meta-analysis. Models were adjusted for sociodemographic and lifestyle characteristics and month of conception. RESULTS We found an association between particulate matter (PM)2.5 and higher odds of suboptimal vitamin D levels (ie, below 20 ng/mL) (odds ratio per 5 μg/m3 increase in PM2.5, 1.43; 95% CI: 1.02, 1.99). There was no association between other air pollutant exposure and vitamin D levels. CONCLUSION PM2.5 exposure might contribute to suboptimal levels of vitamin D in pregnancy. Reducing air pollution exposure should be a priority because vitamin D deficiency may adversely influence offspring development.
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Affiliation(s)
- Anne-Claire Binter
- ISGlobal, 08036 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08005 Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue 3-5, 28029 Madrid, Spain
| | - Akhgar Ghassabian
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY 10016, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Runyu Zou
- Department of Global Public Health & Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, 3584 CJ Utrecht, The Netherlands
| | - Hanan El Marroun
- Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioral Science, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, 3015 GD Rotterdam, The Netherlands
| | - Aitana Lertxundi
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue 3-5, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, 48940 Bizkaia, Spain
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, 20014 Donostia-San Sebastián, Spain
| | - Karen M Switkowski
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA 02215, USA
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue 3-5, 28029 Madrid, Spain
- Faculty of Nursing and Chiropody, Universitat de València, Av. De Blasco Ibáñez, 13, 46010 València, 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 de Catalunya, 21, 46020 Valencia, Spain
| | | | - Ana Esplugues
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue 3-5, 28029 Madrid, Spain
- Faculty of Nursing and Chiropody, Universitat de València, Av. De Blasco Ibáñez, 13, 46010 València, 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 de Catalunya, 21, 46020 Valencia, Spain
| | - Tanja Vrijkotte
- Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, 1081 BT Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Jordi Sunyer
- ISGlobal, 08036 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08005 Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue 3-5, 28029 Madrid, Spain
| | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue 3-5, 28029 Madrid, Spain
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, 20014 Donostia-San Sebastián, Spain
| | - Ana Fernández-Somoano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue 3-5, 28029 Madrid, Spain
- Department of Medicine, University Institute of Oncology of the Principality of Asturias (IUOPA), University of Oviedo, Julian Clavería Street s/n, 33006 Oviedo, Asturias, Spain
| | - Kinga Polanska
- Department of Environmental and Occupational Health Hazards, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford BD9 6DA, UK
| | - Emily Oken
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA 02215, USA
| | - Henning Tiemeier
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Mònica Guxens
- ISGlobal, 08036 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08005 Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue 3-5, 28029 Madrid, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, 3015 GD Rotterdam, The Netherlands
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Jović M, Amir-Haeri M, Rimfeld K, Ensink JBM, Lindauer RJL, Vrijkotte TGM, Whitehouse A, van den Berg SM. Harmonization of SDQ and ASEBA Phenotypes: Measurement Variance Across Cohorts. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2025; 47:27. [PMID: 40062209 PMCID: PMC11889055 DOI: 10.1007/s10862-025-10204-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/18/2025] [Indexed: 03/28/2025]
Abstract
Harmonizing the scores obtained by different instruments that measure the same construct enable researchers to combine them in one analysis. An important step in harmonization is checking whether there is measurement invariance across populations. This study aimed to examine whether the harmonized scores for anxiety/depression and ADHD obtained by two different instruments (the Child Behaviour Check List (CBCL) and the Strength and Difficulties Questionnaire (SDQ)) are measurement invariant across other countries, languages, and age groups. We used cohorts from Australia (1330 children aged 10-11.5 years), the Netherlands (943 children aged 11-13.5 years) and the United Kingdom (4504 children aged 14-19). We used the Bayesian method for modeling measurement non-invariance proposed by Verhagen and Fox, 2013a that we adapted for using on polytomous items and in a relatively small number of groups (cohorts). Results showed that there is hardly any differential functioning of harmonized anxiety/depression and ADHD scores obtained by CBCL and SDQ across cohorts. The same model that harmonizes measures in Australian 10-year-old children can also be used in cohorts from the UK and the Netherlands. Supplementary Information The online version contains supplementary material available at 10.1007/s10862-025-10204-0.
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Affiliation(s)
- Miljan Jović
- Department of Learning, Data Analytics and Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, PO Box 217, Enschede, 7500 AE The Netherlands
| | - Maryam Amir-Haeri
- Department of Learning, Data Analytics and Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, PO Box 217, Enschede, 7500 AE The Netherlands
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Royal Holloway University of London, London, UK
| | - Judith B. M. Ensink
- Location AMC, Department of Child and Adolescent Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
- Location AMC, Department of Clinical Genetics, Amsterdam University Medical Center, Genome Diagnostics Laboratory, Amsterdam, The Netherlands
- Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
| | - Ramon J. L. Lindauer
- Location AMC, Department of Child and Adolescent Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
- Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
| | - Tanja G. M. Vrijkotte
- Location AMC, Department of Public and Occupational Health, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Andrew Whitehouse
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Stéphanie M. van den Berg
- Department of Learning, Data Analytics and Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, PO Box 217, Enschede, 7500 AE The Netherlands
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Telkmann K, Gudi-Mindermann H, Bogers R, Ahrens J, Tönnies J, van Kamp I, Vrijkotte T, Bolte G. Identification of exposome clusters based on societal, social, built and natural environment - results of the ABCD cohort study. ENVIRONMENT INTERNATIONAL 2025; 197:109335. [PMID: 39983415 DOI: 10.1016/j.envint.2025.109335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Revised: 01/17/2025] [Accepted: 02/14/2025] [Indexed: 02/23/2025]
Abstract
Exposome research has seen a recent increase. The conceptual framework of the Social Exposome extends initial concepts by considering the entirety of societal, social, built and natural environmental exposures which are assumed to holistically impact development and health across the lifecourse. The aim of this study is the identification and characterisation of exposome clusters. Additionally, their relevance for mental health is investigated. To this end 2,850 participants aged 11-12 of the Amsterdam Born Children and their Development (ABCD) Cohort Study were analysed. The exposome was characterized by 60 variables representing the societal, social, built and natural environment. Uniform manifold approximation and projection (UMAP) was applied for dimensionality reduction, and subsequently clustering was performed on the retrieved low-dimensional embedding. Mental health symptoms and behaviour related outcomes were assessed by the Strength and Difficulties Questionnaire (SDQ) as well as the Substance Use Risk Profile Scale (SURPS). The results suggest that exposome clusters are mainly driven by contextual socioeconomic and physical characteristics such as neighborhood income and deprivation rather than social characteristics at the individual level. Moreover, prevalence of children's mental health problems was more prominent within exposome clusters characterized at the contextual level by more deprived neighborhoods and at the individual level by higher prevalence of maternal mental health problems. This exploratory exposome cluster identification emphasized the relevance of socioeconomic neighborhood characteristics, thus structural inequalities.
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Affiliation(s)
- Klaus Telkmann
- University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, 28359 Bremen, Germany; University of Bremen, Health Sciences Bremen 28359 Bremen, Germany.
| | - Helene Gudi-Mindermann
- University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, 28359 Bremen, Germany; University of Bremen, Health Sciences Bremen 28359 Bremen, Germany
| | - Rik Bogers
- National Institute for Public Health and the Environment, Centre for Sustainability, Environment and Health, 3720 BA Bilthoven, the Netherlands
| | - Jenny Ahrens
- University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, 28359 Bremen, Germany; University of Bremen, Health Sciences Bremen 28359 Bremen, Germany
| | - Justus Tönnies
- University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, 28359 Bremen, Germany; University of Bremen, Health Sciences Bremen 28359 Bremen, Germany
| | - Irene van Kamp
- National Institute for Public Health and the Environment, Centre for Sustainability, Environment and Health, 3720 BA Bilthoven, the Netherlands
| | - Tanja Vrijkotte
- University of Amsterdam, Amsterdam UMC, Amsterdam Public Health Research Institute, Department of Public and Occupational Health, 1081 BT Amsterdam, the Netherlands
| | - Gabriele Bolte
- University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, 28359 Bremen, Germany; University of Bremen, Health Sciences Bremen 28359 Bremen, Germany
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Bozhar H, de Rooij SR, Lok A, Vrijkotte T, Larsen H. On the edge of the social media landscape: associations with adolescent substance use and moderation by parental rules. J Public Health (Oxf) 2025; 47:90-98. [PMID: 39562152 PMCID: PMC11879007 DOI: 10.1093/pubmed/fdae290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 10/15/2024] [Accepted: 10/30/2024] [Indexed: 11/21/2024] Open
Abstract
BACKGROUND Adolescent problematic social media use (PSMU) has been increasing. Digital engagement has been associated with substance use, but little is known about the potential protective role of parents. We investigated whether screen and substance-related parental rules moderated the associations between (problematic) SMU and intake of tobacco, alcohol, hashish/marijuana, and laughing gas. METHODS We used data from the Amsterdam Born Children and Development study (N = 1787; Mage = 15.86 years; SD = 0.36). Both frequent and problematic SMU in relation to tobacco, alcohol, hashish/marijuana, and laughing gas intake levels; and moderation by perceived parental rules (screen/substances), was tested with ordinal logistic regression models. RESULTS PSMU was associated with higher chances of higher substance use levels. Hashish/marijuana use and heavy drinking were less prevalent in adolescents reporting the presence of parental rules on alcohol/drugs, compared to adolescents reporting no rules. Although parental rules on alcohol/drugs, but not screen time, moderated the relationship between PSMU and both hashish/marijuana use and heavy drinking, the moderation effect was modest, especially in mitigating substance use at higher PSMU-scores. CONCLUSION PSMU was positively associated with a wide range of substance use behaviours. The potential significant role of parental rules (alcohol/drugs) mitigating these associations are highlighted.
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Affiliation(s)
- Hanan Bozhar
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
- Centre for Urban Mental Health, Institute for Advanced Study, University of Amsterdam, Oude Turfmarkt 147, 1012 GC Amsterdam, The Netherlands
| | - Susanne R de Rooij
- Centre for Urban Mental Health, Institute for Advanced Study, University of Amsterdam, Oude Turfmarkt 147, 1012 GC Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Public Health research institute, Aging & Later life, Health Behaviors & Chronic Diseases, 1081 BT Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, 1105 AZ Amsterdam, The Netherlands
| | - Anja Lok
- Centre for Urban Mental Health, Institute for Advanced Study, University of Amsterdam, Oude Turfmarkt 147, 1012 GC Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Tanja Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands
- Centre for Urban Mental Health, Institute for Advanced Study, University of Amsterdam, Oude Turfmarkt 147, 1012 GC Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1081 BT Amsterdam, The Netherlands
| | - Helle Larsen
- Centre for Urban Mental Health, Institute for Advanced Study, University of Amsterdam, Oude Turfmarkt 147, 1012 GC Amsterdam, The Netherlands
- Department of Psychology, University of Amsterdam, 1018 WS Amsterdam, The Netherlands
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Plomp H, Verhoeven C, Peters L, van Dijk A, Onland W, de Jonge A, Henrichs J. Research protocol - Evaluating data quality in the Netherlands Perinatal Registry (Perined): A data comparison study using hospital records from the IUGR Risk Selection (IRIS) study. F1000Res 2025; 13:686. [PMID: 39949967 PMCID: PMC11822247 DOI: 10.12688/f1000research.150160.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/26/2024] [Indexed: 02/16/2025] Open
Abstract
Background The quality of registry based studies depends largely on the data accuracy of the registries. The Dutch Perinatal Registry (Perined) is a nationwide database comprising perinatal data digitally provided by different healthcare providers. Perined data are used for comparing outcomes across regions and healthcare institutions as well as for quality analyses and research purposes. However, little is known about the data quality of the Perined database. Therefore, this research protocol depicts our proposed study assessing the quality of Perined data compared to hospital records and case report forms (CRFs) that were part of the IUGR Risk Selection (IRIS) study. Methods In the planned comparison study data from Perined and the IRIS Study will be used. The IRIS study was a large cluster-randomized trial investigating the effectiveness of routine third trimester ultrasonography in reducing severe adverse perinatal outcomes among Dutch low-risk pregnant women. A subsample of the IRIS study of neonates being at risk of severe adverse perinatal outcomes and their mothers will be used. Baseline demographic data were collected by midwives from participating women at inclusion (around 22 weeks' gestation) using CRFs, and in-depth neonatal and maternal clinical data were retrieved from hospital records by trained research assistants. These latter IRIS study data were linked and compared to Perined data. Completeness of Perined data will be calculated for every variable. The reliability will be assessed as the percent of agreement between Perined and hospital record data or the CRF-based data. Additionally, intra-class correlation coefficients will be calculated for continuous variables, and Kappa and 'Prevalence-and-Bias-Adjusted Kappa' will be calculated for categorical variables. Discussion The results of the planned comparison study will provide users of Perined data insight in its data quality. This will serve as an example of the accuracy of registry based data used in maternal and neonatal care research.
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Affiliation(s)
- Hilde Plomp
- Midwifery Academy Amsterdam Groningen, Inholland University of Applied Sciences, Amsterdam, The Netherlands
- Midwifery Science, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Corine Verhoeven
- Midwifery Academy Amsterdam Groningen, Inholland University of Applied Sciences, Amsterdam, The Netherlands
- Midwifery Science, Amsterdam University Medical Centres, Amsterdam, The Netherlands
- Department of Obstetrics and Gynecology, Maxima Medical Centre, Veldhoven, The Netherlands
- Division of Midwifery, School of Health Sciences, University of Nottingham, Nottingham, England, UK
- Department Primary and Long-term Care, University Meidcal Center Groningen, Groningen, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
| | - Lilian Peters
- Midwifery Academy Amsterdam Groningen, Inholland University of Applied Sciences, Amsterdam, The Netherlands
- Midwifery Science, Amsterdam University Medical Centres, Amsterdam, The Netherlands
- Department Primary and Long-term Care, University Meidcal Center Groningen, Groningen, The Netherlands
| | | | - Wes Onland
- Emma Children's Hospital, Amsterdam University Medical Centres, Amsterdam, The Netherlands
- Reproduction and Development, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Ank de Jonge
- Midwifery Academy Amsterdam Groningen, Inholland University of Applied Sciences, Amsterdam, The Netherlands
- Midwifery Science, Amsterdam University Medical Centres, Amsterdam, The Netherlands
- Department Primary and Long-term Care, University Meidcal Center Groningen, Groningen, The Netherlands
- Reproduction and Development, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Jens Henrichs
- Midwifery Academy Amsterdam Groningen, Inholland University of Applied Sciences, Amsterdam, The Netherlands
- Midwifery Science, Amsterdam University Medical Centres, Amsterdam, The Netherlands
- Department Primary and Long-term Care, University Meidcal Center Groningen, Groningen, The Netherlands
- Amsterdam Public Health, Amsterdam, The Netherlands
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Ivanova HI, de Rooij SR, Hutten BA, Vrijkotte TGM. Psychosocial Problems at Preschool Age and Cardiometabolic Health Profile at Preadolescence. BIOPSYCHOSOCIAL SCIENCE AND MEDICINE 2025; 87:46-56. [PMID: 39701569 DOI: 10.1097/psy.0000000000001353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2024]
Abstract
OBJECTIVE Evidence suggests that children with psychosocial problems face a higher risk of cardiometabolic diseases in adulthood. However, this may already be evident prior to adulthood. In this study, the associations between psychosocial problems at preschool age and cardiometabolic outcomes 6 years later were investigated. METHODS Data from 936 participants from the Amsterdam Born Children and their Development (ABCD) study was used. Psychosocial problems were assessed using the Strengths & Difficulties Questionnaire (SDQ) when the children were 5-6 years old, reported by both mothers and teachers. Cardiometabolic parameters, including body mass index, waist circumference, total cholesterol, triglycerides, high- and low-density lipoprotein cholesterol, fasting glucose, systolic and diastolic blood pressure, and carotid intima-media thickness were subsequently measured at ages 11-12 years. The associations between psychosocial problems and cardiometabolic outcomes were assessed using multivariable linear and logistic regression models. RESULTS In model 1, adjusted for age, sex, and puberty status, and in model 2, for sociodemographic and biological predisposition factors, the combined mother-teacher score yielded a positive association with clustered cardiometabolic score (b = 0.05, 95% confidence interval = 0.03-0.10) 6 years later. Adjusting for lifestyle factors rendered this association nonsignificant. Significant associations between mother-reported SDQ scores and most cardiometabolic parameters, except for triglycerides, diminished after controlling for confounders. Children with higher total SDQ score (by mother) had 1.31 times higher odds of developing metabolic syndrome (95% confidence interval = 1.05-1.62). CONCLUSION This study established a small inverse association between mother-reported psychosocial problems at ages 5-6 years and cardiometabolic health profile at ages 11-12 years.
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Affiliation(s)
- Hristiyanna I Ivanova
- From the Department of Public and Occupational Health, Amsterdam Public Health Research Institute (Ivanova, Vrijkotte), Department of Epidemiology and Data Science (de Rooij, Hutten), Reproduction and Development Research Institute (de Rooij, Vrijkotte), Amsterdam Public Health Research Institute, Aging and Later Life, Health Behaviors and Chronic Diseases (de Rooij, Vrijkotte), and Amsterdam Cardiovascular Sciences Research Institute, Diabetes & Metabolism (Hutten), Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
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7
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Stefanopoulou M, Ruhé N, Portengen L, van Wel L, Vrijkotte TGM, Vermeulen R, Huss A. Associations of light exposure patterns with sleep among Dutch children: The ABCD cohort study. J Sleep Res 2024; 33:e14184. [PMID: 38410057 PMCID: PMC11596991 DOI: 10.1111/jsr.14184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 02/13/2024] [Accepted: 02/13/2024] [Indexed: 02/28/2024]
Abstract
Light exposure affects the circadian system and consequently can affect sleep quality. Only few studies examined this relationship in children. We evaluated associations between light exposure patterns and sleep metrics in children. We measured the sleep parameters of 247 Dutch children, aged between 11 and 13 years and recruited from the ABCD cohort, using actigraphy and sleep records for 7 consecutive nights. Personal light exposures were measured with a light meter during the whole day and night. We applied generalized mixed-effects regression models, adjusted for possible confounders, to evaluate the associations of light exposure patterns on sleep duration, sleep efficiency and sleep-onset delay. In the models mutually adjusted for potential confounders, we found the amount of hours between the first time of bright light in the morning and going to sleep and the duration of bright light to be significantly associated with decreased sleep duration (in min; β: -2.02 [95% confidence interval: -3.84, -0.25], β: -8.39 [95% confidence interval: -16.70, -0.07], respectively) and with shorter sleep-onset delay (odds ratio: 0.88 [95% confidence interval: 0.80, 0.97], odds ratio: 0.40 [95% confidence interval: 0.19, 0.87], respectively). Increased light intensities at night were associated with decreased sleep duration (T2 β: -8.54 [95% confidence interval: -16.88, -0.20], T3 β: -14.83 [95% confidence interval: -28.04, -1.62]), while increased light intensities before going to bed were associated with prolonged sleep onset (odds ratio: 4.02 [95% confidence interval: 2.09, 7.73]). These findings further suggest that children may be able to influence their sleep quality by influencing the light exposure patterns during day and night.
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Affiliation(s)
| | - Naomi Ruhé
- Institute for Risk Assessment SciencesUtrecht UniversityUtrechtThe Netherlands
| | - Lützen Portengen
- Institute for Risk Assessment SciencesUtrecht UniversityUtrechtThe Netherlands
| | - Luuk van Wel
- Institute for Risk Assessment SciencesUtrecht UniversityUtrechtThe Netherlands
| | - Tanja G. M. Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment SciencesUtrecht UniversityUtrechtThe Netherlands
- Julius Centre for Health Sciences and Primary CareUniversity Medical Centre UtrechtUtrechtThe Netherlands
| | - Anke Huss
- Institute for Risk Assessment SciencesUtrecht UniversityUtrechtThe Netherlands
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Rashid V, Nicolaou M, Verhoeff AP, Weijs PJM, Streppel MT. Dietary Patterns by Level of Maternal Education and Their Contribution to BMI, Fat Mass Index, and Fat-Free Mass Index at Age 5 and the Longitudinal Association with BMI at Age 10. Nutrients 2024; 16:3242. [PMID: 39408210 PMCID: PMC11479119 DOI: 10.3390/nu16193242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2024] [Revised: 09/08/2024] [Accepted: 09/19/2024] [Indexed: 10/20/2024] Open
Abstract
BACKGROUND Our aim was to identify dietary patterns by the level of maternal education that contribute to BMI, fat mass index (FMI), and fat-free mass index (FFMI) in children at age 5 and to assess if these dietary patterns are related to BMI at age 10. METHODS Per group (low/middle/high level), Reduced Rank Regression (RRR) was used to derive dietary patterns for the response variables BMI z-score, FMI, and FFMI in 1728 children at age 5 in the Amsterdam Born Children and their Development (ABCD) cohort. Regression analyses were then used to determine the association with BMI at age 10. RESULTS In each group, pattern 1 was characterized by its own cluster of food groups. Low: water/tea, savory snacks, sugar, low-fat meat, and fruits; middle: water/tea, low-fat cheese, fish, low-fat dairy, fruit drink, low-fat meat, and eggs; and high: low-fat cheese, fruits, whole-grain breakfast products, and low-fat and processed meat. Additionally, in each group, pattern 1 was positively associated with BMI z-scores at age 10 (low: β ≤ 0.43 [95% CI ≤ 0.21; 0.66], p < 0.001, middle: β ≤ 0.23 [0.09; 0.36], p ≤ 0.001, and high: β ≤ 0.24 [0.18; 0.30], p < 0.001). CONCLUSIONS The dietary patterns stratified by the level of maternal education are characterized by different food groups. But in all the groups, pattern 1 is positively associated with BMI at age 10.
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Affiliation(s)
- Viyan Rashid
- Faculty of Sports and Nutrition, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Dr. Meurerlaan 8, 1067 SM Amsterdam, The Netherlands; (P.J.M.W.); (M.T.S.)
| | - Mary Nicolaou
- Department of Public and Occupational Health, Amsterdam University Medical Centers, University of Amsterdam, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands;
| | - Arnoud P. Verhoeff
- Sarphati Amsterdam, Department of Healthy Living, Public Health Service (GGD) Amsterdam, Nieuwe Achtergracht 100, 1018 WT Amsterdam, The Netherlands;
- Department of Sociology, University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV Amsterdam, The Netherlands
| | - Peter J. M. Weijs
- Faculty of Sports and Nutrition, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Dr. Meurerlaan 8, 1067 SM Amsterdam, The Netherlands; (P.J.M.W.); (M.T.S.)
- Department Nutrition & Dietetics, Amsterdam University Medical Centers, Location VUmc, Amsterdam Public Health Research Institute, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Martinette T. Streppel
- Faculty of Sports and Nutrition, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Dr. Meurerlaan 8, 1067 SM Amsterdam, The Netherlands; (P.J.M.W.); (M.T.S.)
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9
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Domacassé D, de Rooij SR, Vrijkotte T, de Jonge A, Henrichs J. Associations Between Early-Pregnancy Vitamin D Status and Postpartum Depressive and Anxiety Symptoms. Psychosom Med 2024; 86:648-657. [PMID: 38973743 PMCID: PMC11460759 DOI: 10.1097/psy.0000000000001328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 05/27/2024] [Indexed: 07/09/2024]
Abstract
OBJECTIVE Maternal postpartum depressive and anxiety symptoms are risk factors for subsequent maternal and child mental health problems. Little is known about the potential role of antepartum vitamin D and C-reactive protein (CRP) in the etiology of maternal postpartum affective symptoms. We investigated associations between antepartum vitamin D status and postpartum depressive and anxiety symptoms and whether antepartum CRP mediated these associations. METHODS In 2483 participants of the Amsterdam Born Children and their Development prospective cohort, maternal serum vitamin D and CRP were measured at a median of 13 weeks' gestation. Vitamin D status was defined as deficient (≤29.9 nM), insufficient (30-49.9 nM), sufficient (50-79.9 nM), or normal (≥80 nM). Maternal depressive symptoms (Center for Epidemiologic Studies-Depression) and anxiety (State-Trait Anxiety Inventory) were assessed 3 months postpartum. RESULTS After adjustments for confounders, vitamin D deficiency was only associated with increased postpartum anxiety symptoms ( B = 0.17, 95% confidence interval [CI] = 0.03-0.30, p = .017) compared to normal vitamin D levels (≥80 nM). In women not taking vitamin D supplementation ( n = 2303), vitamin D deficiency was associated with increased postpartum depressive and anxiety symptoms ( B = 0.14, 95% CI = 0.03-0.28, p = .045; and B = 0.17, 95% CI = 0.03-0.32, p = .015). Antepartum CRP did not mediate these links. CONCLUSIONS We found some evidence that antepartum vitamin D deficiency was associated with increased postpartum affective symptoms, especially in women not taking vitamin D supplementation. Clinical trials should determine whether vitamin D supplementation can reduce the risk for postpartum affective disorders.
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Beumer WY, Koot MH, Vrijkotte T, Roseboom TJ, van Ditzhuijzen J. Long-term effects of unintended pregnancy on children: Findings from the Dutch prospective birth-cohort Amsterdam born children and their development study. Soc Sci Med 2024; 357:117200. [PMID: 39142143 DOI: 10.1016/j.socscimed.2024.117200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 07/25/2024] [Accepted: 08/06/2024] [Indexed: 08/16/2024]
Abstract
Several studies investigated short-term risks of children born from unintended pregnancies, however evidence about long-term risks is lacking. We aimed to examine whether children born from unintended pregnancies experience psychosocial problems up into adolescence. This study is based on the longitudinal birth cohort study 'Amsterdam Born Children and their Development' (n = 7784). Unintended pregnancy was measured as a multidimensional construct, based on self-reports on the extent of pregnancy mistiming ('This pregnancy happened too soon'), unwantedness ('I did not want to be pregnant (anymore)') and unhappiness ('I am happy to be pregnant'; recoded). Further, children's psychosocial problems were measured with the Strengths and Difficulties Questionnaire, at 5-6, 11-12 and 15-16 years old. Multiple over-time associations between unintended pregnancy and children's psychosocial problems were analysed using Structural Equation Modelling, while controlling for confounders. Results showed that pregnancy mistiming was a significant predictor of internalizing (β = 0.10, p < 0.001) and externalizing problems (β = 0.07, p = 0.006) and unwanted pregnancy of internalizing problems (β = 0.13, p < 0.001) at 5-6 years. These associations were substantially mediated by maternal mental health and poorer maternal bonding. Associations were no longer present at 11-12 and 15-16 years. Thus, we conclude that children born from unintended pregnancies experience more psychosocial problems at 5-6 years, but no longer at 11-12 and 15-16 years. Unintended pregnancies often coincide with maternal mental health problems and socioeconomic factors. Most importantly, the associations between unintended pregnancy and children's psychosocial problems are influenced by maternal mental health and poorer bonding. Therefore it is important to improve maternal mental health and bonding for the benefit of both mother and child, rather than on the isolated effect of unintended pregnancy per se.
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Affiliation(s)
- Wieke Y Beumer
- Amsterdam UMC location University of Amsterdam, Obstetrics and Gyneacology, Meibergdreef 9, Amsterdam, Netherlands; Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, Amsterdam, Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands; Amsterdam Public Health, Amsterdam, the Netherlands.
| | - Marjette H Koot
- Amsterdam UMC location University of Amsterdam, Obstetrics and Gyneacology, Meibergdreef 9, Amsterdam, Netherlands; Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, Amsterdam, Netherlands
| | - Tanja Vrijkotte
- Amsterdam UMC location University of Amsterdam, Public and Occupational Health, Meibergdreef 9, Amsterdam, Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands; Amsterdam Public Health, Amsterdam, the Netherlands
| | - Tessa J Roseboom
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, Amsterdam, Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Jenneke van Ditzhuijzen
- Amsterdam UMC location University of Amsterdam, Obstetrics and Gyneacology, Meibergdreef 9, Amsterdam, Netherlands; Utrecht University, Interdisciplinary Social Science, Social Policy and Public Health, Heidelberglaan 1, Utrecht, Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands
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11
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Eijkemans M, Mommers M, Harskamp-van Ginkel MW, Vrijkotte TGM, Ludvigsson J, Faresjö Å, Bergström A, Ekström S, Grote V, Koletzko B, Bønnelykke K, Eliasen AU, Bager P, Melbye M, Annesi-Maesano I, Baïz N, Barros H, Santos AC, Duijts L, Mensink-Bout SM, Flexeder C, Koletzko S, Schikowski T, Eggesbø MÅ, Lenters V, Fernández-Tardón G, Subiza-Perez M, Garcia-Aymerich J, López-Vicente M, Sunyer J, Torrent M, Ballester F, Kelleher C, Mehegan J, von Berg A, Herberth G, Standl M, Kuehni CE, Pedersen ESL, Jansen M, Gehring U, Boer JMA, Devereux G, Turner S, Peltola V, Lagström H, Inskip HM, Pike KC, Dalmeijer GW, van der Ent CK, Thijs C. Physical activity, sedentary behaviour, and childhood asthma: a European collaborative analysis. BMJ Open Respir Res 2024; 11:e001630. [PMID: 39147399 PMCID: PMC11331876 DOI: 10.1136/bmjresp-2023-001630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 06/28/2024] [Indexed: 08/17/2024] Open
Abstract
OBJECTIVES To investigate the associations of physical activity (PA) and sedentary behaviour in early childhood with asthma and reduced lung function in later childhood within a large collaborative study. DESIGN Pooling of longitudinal data from collaborating birth cohorts using meta-analysis of separate cohort-specific estimates and analysis of individual participant data of all cohorts combined. SETTING Children aged 0-18 years from 26 European birth cohorts. PARTICIPANTS 136 071 individual children from 26 cohorts, with information on PA and/or sedentary behaviour in early childhood and asthma assessment in later childhood. MAIN OUTCOME MEASURE Questionnaire-based current asthma and lung function measured by spirometry (forced expiratory volume in 1 s (FEV1), FEV1/forced vital capacity) at age 6-18 years. RESULTS Questionnaire-based and accelerometry-based PA and sedentary behaviour at age 3-5 years was not associated with asthma at age 6-18 years (PA in hours/day adjusted OR 1.01, 95% CI 0.98 to 1.04; sedentary behaviour in hours/day adjusted OR 1.03, 95% CI 0.99 to 1.07). PA was not associated with lung function at any age. Analyses of sedentary behaviour and lung function showed inconsistent results. CONCLUSIONS Reduced PA and increased sedentary behaviour before 6 years of age were not associated with the presence of asthma later in childhood.
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Affiliation(s)
- Marianne Eijkemans
- Maastricht University Care and Public Health Research Institute, Maastricht, Netherlands
- Department of Pediatrics, Catharina Ziekenhuis, Eindhoven, Netherlands
| | - Monique Mommers
- Maastricht University Care and Public Health Research Institute, Maastricht, Netherlands
| | - Margreet W Harskamp-van Ginkel
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC Locatie Meibergdreef, Amsterdam, Netherlands
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC Locatie Meibergdreef, Amsterdam, Netherlands
| | - Johnny Ludvigsson
- Division of Pediatrics, Department of Biomedical and Clinical Sciences (BKV), Medical Faculty, Crown Princess Victoria Children's Hospital, Linköping University Hospital, Linköping, Sweden
| | - Åshild Faresjö
- Department of Health, Medicine and Caring Sciences; Public Health, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
| | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Sandra Ekström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Veit Grote
- Department of Pediatrics, Munich University Hospital Dr von Hauner Children's Hospital, Munchen, Germany
| | - Berthold Koletzko
- Department of Pediatrics, Munich University Hospital Dr von Hauner Children's Hospital, Munchen, Germany
| | - Klaus Bønnelykke
- Copenhagen University Hospital, Gentofte, Copenhagen Prospective Studies on Asthma in Childhood, Copenhagen, Denmark
| | - Anders Ulrik Eliasen
- Copenhagen University Hospital, Gentofte, Copenhagen Prospective Studies on Asthma in Childhood, Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Peter Bager
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Mads Melbye
- K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
- Norwegian Institute of Public Health Centre for Fertility and Health, Oslo, Norway
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Isabella Annesi-Maesano
- Institute Desbrest of Epidemiology and Public Health, University of Montpellier and INSERM, Montpellier, France
| | - Nour Baïz
- Institute Desbrest of Epidemiology and Public Health, University of Montpellier and INSERM, Montpellier, France
| | - Henrique Barros
- Instituto de Saúde Pública da Universidade do Porto, UP EPIUnit, Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Ana Cristina Santos
- Instituto de Saúde Pública da Universidade do Porto, UP EPIUnit, Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Liesbeth Duijts
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands
- Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus Medical Center, Rotterdam, Netherlands
- Department of Pediatrics, Division of Neonatology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Sara M Mensink-Bout
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, Netherlands
- Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Claudia Flexeder
- German Research Center for Environmental Health, Institute of Epidemiology Helmholtz Zentrum München, Neuherberg, Germany
- Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research, Munchen, Germany
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Sibylle Koletzko
- Department of Pediatrics, Munich University Hospital Dr von Hauner Children's Hospital, Munchen, Germany
- Department of Pediatrics, Gastroenterology and Nutrition, University of Warmia and Mazury in Olsztyn School of Medicine, Olsztyn, Poland
| | - Tamara Schikowski
- Department of Epidemiology, IUF Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Merete Åse Eggesbø
- Department of Environmental Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Virissa Lenters
- Department of Environmental Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
- Julius Center for Health Sciences and Primary Care, Utrecht, Netherlands
| | - Guillermo Fernández-Tardón
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), University of Oviedo, CIBERESP, Madrid, Spain
| | - Mikel Subiza-Perez
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, Donostia-san Sebastian, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Judith Garcia-Aymerich
- Non-Communicable Diseases and Environment Research Programme, Barcelona Institute for Global Health, Barcelona, Spain
| | - Mónica López-Vicente
- ISGlobal, Barcelona, Spain
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Jordi Sunyer
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | | | - Ferran Ballester
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO, Universitat Jaume I, Valencia, Spain
- Nursing School, Universitat de València, Valencia, Spain
| | - Cecily Kelleher
- UCD School of Public Health, Physiotherapy and Sports Science, College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - John Mehegan
- UCD School of Public Health, Physiotherapy and Sports Science, College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - Andrea von Berg
- Research Institute, Department of Pediatrics, Marien-Hospital Wesel gGmbH, Wesel, Germany
| | - Gunda Herberth
- Department of Environmental Immunology, Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Marie Standl
- German Research Center for Environmental Health, Institute of Epidemiology Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Lung Research, Giessen, Germany
| | - Claudia E Kuehni
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics, Inselspital University Hospital Bern, Bern, Switzerland
| | - Eva S L Pedersen
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Maria Jansen
- Public Health Services, Academic Collaborative Centre for Public Health Limburg, Heerlen, Netherlands
- Department of Health Services Research, Maastricht University Care and Public Health Research Institute, Maastricht, Netherlands
| | - Ulrike Gehring
- Utrecht University Institute for Risk Assessment Sciences, Utrecht, Netherlands
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Graham Devereux
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Steve Turner
- Women and Children’s Division, NHS Grampian, Aberdeen, UK
- Child Health, University of Aberdeen, Aberdeen, UK
| | - Ville Peltola
- Department of Paediatrics and Adolescent Medicine, TYKS Turku University Hospital, Turku, Finland
| | - Hanna Lagström
- Department of Public Health and Centre for Population Health Research, University of Turku, Turku, Finland
- TYKS Turku University Hospital, Turku, Finland
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NHS Foundation Trust, NIHR Southampton Biomedical Research Centre, Southampton, UK
| | | | | | - Cornelis K van der Ent
- Department of Paediatric Pulmonology, Wilhelmina Children's Hospital University Medical Centre, Utrecht, Netherlands
| | - Carel Thijs
- Maastricht University Care and Public Health Research Institute, Maastricht, Netherlands
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12
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Liu M, Vaartjes I, Hoek G, Jaddoe VWV, Santos S, Schreuder A, Vrijkotte TGM, Grobbee DE, Timmermans EJ. Longitudinal associations of air pollution and green space with cardiometabolic risk factor clustering among children in the Netherlands. ENVIRONMENT INTERNATIONAL 2024; 190:108852. [PMID: 38943924 DOI: 10.1016/j.envint.2024.108852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 05/28/2024] [Accepted: 06/25/2024] [Indexed: 07/01/2024]
Abstract
BACKGROUND This study examines longitudinal associations of air pollution and green space with cardiometabolic risk among children in the Netherlands. METHODS Three Dutch prospective cohorts with a total of 13,822 participants aged 5 to 17 years were included: (1) the Amsterdam Born Children and their Development (ABCD) study from Amsterdam (n = 2,547), (2) the Generation R study from Rotterdam (n = 5,431), and (3) the Lifelines study from northern Netherlands (n = 5,844). Air pollution (PM2.5, PM10, NO2, and elemental carbon (EC)) and green space exposures (density in multiple Euclidean buffer sizes) from 2006 to 2017 at home address level were used. Cardiometabolic risk factor clustering was assessed by a MetScore, which was derived from a confirmatory factor analysis of six cardiometabolic risk factors to assess the overall risk. Linear regression models with change in Metscore as the dependent variable, adjusted for multiple confounders, were conducted for each cohort separately. Meta-analyses were used to pool cohort-specific estimates. RESULTS Exposure to higher levels of NO2 and EC was significantly associated with increases in MetScore in Lifelines (per SD higher exposure: βNO2 = 0.006, 95 % CI = 0.001 to 0.010; βEC = 0.008, 95 % CI = 0.002 to 0.014). In the other two cohort studies, these associations were in the same direction but these were not significant. Higher green space density in 500-meter buffer zones around participants' residential addresses was not significantly associated with decreases of MetScore in all three cohorts. Higher green space density in 2000-meter buffer zones was significantly associated with decreases of MetScore in ABCD and Lifelines (per SD higher green space density: βABCD = -0.008, 95 % CI = -0.013 to -0.003; βLifelines = -0.002, 95 % CI = -0.003 to -0.00003). The pooled estimates were βNO2 = 0.003 (95 % CI = -0.001 to 0.006) for NO2, βEC = 0.003 (95 % CI = -0.001, 0.007) for EC, and β500m buffer = -0.0014 (95 % CI = -0.0026 to -0.0001) for green space. CONCLUSIONS More green space exposure at residence was associated with decreased cardiometabolic risk in children. Exposure to more NO2 and EC was also associated with increased cardiometabolic risk.
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Affiliation(s)
- Mingwei Liu
- The Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ilonca Vaartjes
- The Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Vincent W V Jaddoe
- Department of Pediatrics, Sophia Children's Hospital, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Susana Santos
- Department of Pediatrics, Sophia Children's Hospital, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, no. 135 4050-600, Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Universidade do Porto, Rua das Taipas, no. 135 4050-600, Porto, Portugal
| | - Anton Schreuder
- Department of Public and Occupational Health, Amsterdam UMC, Location University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam UMC, Location University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands
| | - Diederick E Grobbee
- The Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Erik J Timmermans
- The Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
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13
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Fernandes A, Avraam D, Cadman T, Dadvand P, Guxens M, Binter AC, Pinot de Moira A, Nieuwenhuijsen M, Duijts L, Julvez J, De Castro M, Fossati S, Márquez S, Vrijkotte T, Elhakeem A, McEachan R, Yang T, Pedersen M, Vinther J, Lepeule J, Heude B, Jaddoe VWV, Santos S, Welten M, El Marroun H, Mian A, Andrušaitytė S, Lertxundi A, Ibarluzea J, Ballester F, Esplugues A, Torres Toda M, Harris JR, Lucia Thorbjørnsrud Nader J, Moirano G, Maritano S, Catherine Wilson R, Vrijheid M. Green spaces and respiratory, cardiometabolic, and neurodevelopmental outcomes: An individual-participant data meta-analysis of >35.000 European children. ENVIRONMENT INTERNATIONAL 2024; 190:108853. [PMID: 38963986 DOI: 10.1016/j.envint.2024.108853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 05/17/2024] [Accepted: 06/25/2024] [Indexed: 07/06/2024]
Abstract
Studies evaluating the benefits and risks of green spaces on children's health are scarce. The present study aimed to examine the associations between exposure to green spaces during pregnancy and early childhood with respiratory, cardiometabolic, and neurodevelopmental outcomes in school-age children. We performed an Individual-Participant Data (IPD) meta-analysis involving 35,000 children from ten European birth cohorts across eight countries. For each participant, we calculated residential Normalized Difference Vegetation Index (NDVI) within a 300 m buffer and the linear distance to green spaces (meters) during prenatal life and childhood. Multiple harmonized health outcomes were selected: asthma and wheezing, lung function, body mass index, diastolic and systolic blood pressure, non-verbal intelligence, internalizing and externalizing problems, and ADHD symptoms. We conducted a two-stage IPD meta-analysis and evaluated effect modification by socioeconomic status (SES) and sex. Between-study heterogeneity was assessed via random-effects meta-regression. Residential surrounding green spaces in childhood, not pregnancy, was associated with improved lung function, particularly higher FEV1 (β = 0.06; 95 %CI: 0.03, 0.09 I2 = 4.03 %, p < 0.001) and FVC (β = 0.07; 95 %CI: 0.04, 0.09 I2 = 0 %, p < 0.001) with a stronger association observed in females (p < 0.001). This association remained robust after multiple testing correction and did not change notably after adjusting for ambient air pollution. Increased distance to green spaces showed an association with lower FVC (β = -0.04; 95 %CI: -0.07, -0.02, I2 = 4.8, p = 0.001), with a stronger effect in children from higher SES backgrounds (p < 0.001). No consistent associations were found between green spaces and asthma, wheezing, cardiometabolic, or neurodevelopmental outcomes, with direction of effect varying across cohorts. Wheezing and neurodevelopmental outcomes showed high between-study heterogeneity, and the age at outcome assessment was only associated with heterogeneity in internalizing problems.. This large European meta-analysis suggests that childhood exposure to green spaces may lead to better lung function. Associations with other respiratory outcomes and selected cardiometabolic and neurodevelopmental outcomes remain inconclusive.
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Affiliation(s)
- Amanda Fernandes
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Demetris Avraam
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tim Cadman
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Anne-Claire Binter
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Angela Pinot de Moira
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; National Heart and Lung Institute, Imperial College London, London, UK
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Liesbeth Duijts
- Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Jordi Julvez
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Clinical and Epidemiological Neuroscience (NeuroÈpia), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Montserrat De Castro
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Serena Fossati
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Sandra Márquez
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Tanja Vrijkotte
- Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands; Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands
| | - Ahmed Elhakeem
- Population Health Science, Bristol Medical School, Bristol BS8 2BN, United Kingdom; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2PS, UK
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford Royal Infirmary, Bradford, UK
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford Royal Infirmary, Bradford, UK
| | - Marie Pedersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Johan Vinther
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Johanna Lepeule
- 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
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Susana Santos
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Universidade do Porto, Portugal
| | - Marieke Welten
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioral Science, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Annemiek Mian
- Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Sandra Andrušaitytė
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Aitana Lertxundi
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Biogipuzkoa 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
| | - Jesús Ibarluzea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Biogipuzkoa 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 (EHU-UPV), 20018, San Sebastian, Spain
| | - Ferran Ballester
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Nursing, Universitat de València, Valencia, Spain; Epidemiology Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Ana Esplugues
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Nursing, Universitat de València, Valencia, Spain; Epidemiology Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Maria Torres Toda
- Unit Medical Expertise and Data Intelligence, Department of Health Protection, National Health Laboratory (LNS), Dudelange, Luxembourg
| | - Jennifer R Harris
- Center for Fertility and Health, The Nowegian Institute of Public Health, Oslo, Norway
| | - Johanna Lucia Thorbjørnsrud Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Giovenale Moirano
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Silvia Maritano
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy; University School for Advanced Studies IUSS Pavia, Pavia, Italy
| | | | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
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Cadman T, Elhakeem A, Vinther JL, Avraam D, Carrasco P, Calas L, Cardol M, Charles MA, Corpeleijn E, Crozier S, de Castro M, Estarlich M, Fernandes A, Fossatti S, Gruszfeld D, Guerlich K, Grote V, Haakma S, Harris JR, Heude B, Huang RC, Ibarluzea J, Inskip H, Jaddoe V, Koletzko B, Lioret S, 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, Santa Marina L, 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 Green Space 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 2024; 193:753-763. [PMID: 37856700 PMCID: PMC11367017 DOI: 10.1093/aje/kwad206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 04/06/2023] [Accepted: 10/06/2023] [Indexed: 10/21/2023] Open
Abstract
International sharing of cohort data for research is important and challenging. We explored the feasibility of multicohort federated analyses by examining associations between 3 pregnancy exposures (maternal education, exposure to green vegetation, and gestational diabetes) and offspring body mass index (BMI) from infancy to age 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 1-stage individual participant data 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, at age 2-3 years = 0.03 (95% confidence interval (CI): 0.00, 0.05), at 4-7 years = 0.16 (95% CI: 0.14, 0.17), and at 8-13 years = 0.24 (95% CI: 0.22, 0.26)). Gestational diabetes was positively associated with BMI from age 8 years (BMI z score difference = 0.18, 95% CI: 0.12, 0.25) but not at younger ages; however, associations attenuated towards the null when restricted to cohorts that measured gestational diabetes via universal screening. Exposure to green vegetation was weakly associated with higher BMI up to age 1 year but not at older ages. Opportunities of cross-cohort federated analyses are discussed.
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Affiliation(s)
- Tim Cadman
- Correspondence to Dr. Tim Cadman, Section of Epidemiology, Øster Farimagsgade 5, DK-1353 Copenhagen K, Denmark (e-mail: )
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Hernáez Á, Elhakeem A, Barros H, Vrijkotte TGM, Fraser A, Lawlor DA, Magnus MC. Parental infertility and offspring cardiometabolic trajectories: a pooled analysis of three European cohorts. Fertil Steril 2024; 121:853-863. [PMID: 38237653 DOI: 10.1016/j.fertnstert.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/01/2024] [Accepted: 01/08/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVE To assess whether parental infertility is associated with differences in cardiometabolic trajectories in offspring. DESIGN Pooled observational analysis in three prospective cohorts. SETTING Three nationwide pregnancy cohorts. PATIENTS A total of 14,609 singletons from the UK Avon Longitudinal Study of Parents and Children, the Portuguese Geraçao 21, and the Amsterdam Born Children and Their Development study. Each cohort contributed data up to ages 26, 12, and 13 years, respectively. INTERVENTION Parental infertility is defined as time-to-pregnancy of ≥12 months (n = 1,392, 9.5%). MAIN OUTCOME MEASURES Trajectories of body mass index (BMI), waist circumference, systolic blood pressure, diastolic blood pressure, low-density lipoprotein cholesterol (LDL-C) level, high-density lipoprotein cholesterol (HDL-C) level, triglycerides level, and glucose level were compared in the offspring of couples with and without infertility. Trajectories were modeled using mixed-effects models with natural cubic splines adjusting for cohort, sex of the offspring, and maternal factors (age, BMI, smoking, educational level, parity, and ethnicity). Predicted levels of cardiometabolic traits up to 25 years of age were compared with parental infertility. RESULTS Offspring of couples with infertility had increasingly higher BMI (difference in mean predicted levels by age 25 years: 1.09 kg/m2, 95% confidence interval [0.68-1.50]) and suggestively higher diastolic blood pressure at age 25 years (1.21 mmHg [-0.003 to 2.43]). Their LDL-C tended to be higher, and their HDL-C values tended to be lower over time (age: 25 years, LDL-C: 4.07% [-0.79 to 8.93]; HDL-C: -2.78% [-6.99 to 1.43]). At age 17 years, offspring of couples with infertility had higher waist circumference (1.05 cm [0.11-1.99]) and systolic blood pressure (age: 17 years; 0.93 mmHg [0.044-1.81]), but these differences attenuated at later ages. No intergroup differences in triglyceride and glucose level trajectories were observed. Further adjustment for paternal age, BMI, smoking, and educational level, and both parents' histories of diabetes and hypertension in the cohort with this information available (Avon Longitudinal Study of Parents and Children) did not attenuate intergroup differences. CONCLUSION Offspring of couples with infertility relative to those of fertile couples have increasingly higher BMI over the years, suggestively higher blood pressure levels, and tend to have greater values of LDL-C and lower values of HDL-C with age.
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Affiliation(s)
- Álvaro Hernáez
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway; Blanquerna School of Health Sciences, Universitat Ramon Llull, Barcelona, Spain; Consorcio CIBER, M.P. Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain.
| | - Ahmed Elhakeem
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Henrique Barros
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional, Porto, Portugal
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam Reproduction and Development Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Abigail Fraser
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom
| | - Maria C Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
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Overman ML, Vrijkotte T, Sánchez Castro YM, Harskamp-van Ginkel MW, Hunsberger M, Renders CM, Kremers SPJ, Chinapaw MJM. The cross-sectional association of parental psychosocial status with children's Body Mass Index z-score and the mediating role of children's energy balance behaviors - the ABCD Study. PLoS One 2024; 19:e0302147. [PMID: 38683830 PMCID: PMC11057752 DOI: 10.1371/journal.pone.0302147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/28/2024] [Indexed: 05/02/2024] Open
Abstract
OBJECTIVE Investigate the cross-sectional association between the psychosocial status of mothers and fathers and the BMI z-scores of their 10 to 12-year-old children. Explore whether this association is mediated by children's diet, physical activity, screen time and sleep. Analyze the moderating effect of the educational levels of both the mother and father on the association. DESIGN In a cross-sectional study design, children's height and weight were measured following a standardized protocol. Parents completed the validated Depression Anxiety and Stress questionnaire, while diet quality, sports participation, time spent in bed and screen time were assessed through child-report using previously validated questions. PARTICIPANTS The data for this study were obtained from the Amsterdam Born Children and their Development study, involving children aged 10 to 12 years and both of their parents (N = 1315). RESULTS The majority, 80%, of the parents were highly educated and born in the Netherlands, and 68% of the children had a healthy BMI. Maternal or paternal psychosocial status was not significantly associated with children's BMI z-score (maternal β -0.0037; 95% CI: -0.008 to 0.0007, paternal β 0.0028; 95% CI: -0.007 to 0.002). Screen time mediated the association between paternal psychosocial status and children's BMI z-score (β = 0.010, 95% CI: 0.002; 0.020). Children's diet, physical activity, and sleep did not mediate the association between paternal psychosocial status and children's BMI z-score. Parental educational level was not a moderator. CONCLUSIONS This research is unique in including four energy balance behaviors and including both mothers and fathers' psychosocial status. Children withfathers experiencing poorer psychosocial status engaged in more screen time which partly explained their higher BMI z-score.
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Affiliation(s)
- Meredith L. Overman
- Department of Health Promotion, Maastricht University, Maastricht, Netherlands
- Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht, Netherlands
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
| | - Tanja Vrijkotte
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Yolanda M. Sánchez Castro
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
| | - Margreet W. Harskamp-van Ginkel
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Monica Hunsberger
- School of Public Health and Community Medicine, Sahlgrenska Academy, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Carry M. Renders
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stef P. J. Kremers
- Department of Health Promotion, Maastricht University, Maastricht, Netherlands
- Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht, Netherlands
| | - Mai J. M. Chinapaw
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health research institute, Health Behaviour and Chronic Diseases, Amsterdam, The Netherlands
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van Uden BCD, Timmermans A, van den Boogaard E, Motazedi E, Vrijkotte TGM. Determinants of dysmenorrhoea among female adolescents: results from a community-based cohort study in Amsterdam. Reprod Biomed Online 2024; 48:103700. [PMID: 38367594 DOI: 10.1016/j.rbmo.2023.103700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 10/17/2023] [Accepted: 11/06/2023] [Indexed: 02/19/2024]
Abstract
RESEARCH QUESTION What is the contribution of sociodemographic, psychosocial, lifestyle and reproductive factors up to the age of 11-12 years to the occurrence of dysmenorrhoea at age 15-16 years within the Amsterdam Born Children and their Development (ABCD) study? DESIGN Data of 1038 female adolescents were used. Participants' baseline characteristics were obtained using self-reported questionnaires up to the age of 11-12 years, as well as the obstetric information of their mothers during pregnancy. Dysmenorrhoea was assessed at the age of 15-16 years, and was deemed to be present if an adolescent reported menstrual abdominal and/or back pain and therefore took medication and/or hormonal contraception. Using a backward selection approach, potential determinants of dysmenorrhoea were selected and multivariable associations were determined. RESULTS The overall prevalence of dysmenorrhoea was 49.5% among the participants. Intake of 3-4.5 sugar-sweetened beverages/day (P = 0.035) and higher gynaecological age (i.e. years since menarche) (P < 0.001) were significantly associated with higher occurrence of dysmenorrhoea in the final model, which explained 8.1% of the total variance in the occurrence of dysmenorrhoea. No significant associations were found between the occurrence of dysmenorrhoea and sociodemographic or psychosocial factors. CONCLUSIONS This investigation of various potential risk factors for dysmenorrhoea suggests that diet and reproductive factors are particularly important predictors of the occurrence of dysmenorrhoea among young adolescents. Specifically, intake of sugar-sweetened beverages and higher gynaecological age were predictive of the occurrence of dysmenorrhoea. Other lifestyle factors were also identified as possible risk factors. Using this knowledge, effective strategies can be developed to reduce the burden of dysmenorrhoea among adolescents, and to provide appropriate care for those suffering from the condition.
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Affiliation(s)
- B C D van Uden
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - A Timmermans
- Department of Obstetrics and Gynaecology, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - E van den Boogaard
- Department of Obstetrics and Gynaecology, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - E Motazedi
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - T G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
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Schreuder A, Börnhorst C, Wolters M, Veidebaum T, Tornaritis M, Sina E, Russo P, Moreno LA, Molnar D, Lissner L, De Henauw S, Ahrens W, Vrijkotte T. Population trajectories and age-dependent associations of obesity risk factors with body mass index from childhood to adolescence across European regions: A two-cohort study. Pediatr Obes 2024; 19:e13088. [PMID: 38146220 DOI: 10.1111/ijpo.13088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 08/03/2023] [Accepted: 11/08/2023] [Indexed: 12/27/2023]
Abstract
OBJECTIVE To investigate population trajectories of behavioural risk factors of obesity from childhood to adolescence and their associations with body mass index (BMI) in children across European regions. METHODS Data were harmonised between the European multi-centre IDEFICS/I.Family and the Amsterdam Born Children and their Development Cohort. Participants were aged 2.0-9.9 and 5.0-7.5 years at baseline, respectively, and were followed until age 18 years. Behavioural risk factors of interest included diet, physical activity, media use and sleep. Mixed effects models were used for statistical analyses to account for repeated measurements taken from the same child. RESULTS The study included a total of 14 328 individuals: 4114, 4582, 3220 and 2412 participants from Northern, Southern, Eastern Europe and Amsterdam, respectively. Risk factor means and prevalences changed with age, but the trajectories were mostly similar across regions. Almost no associations between behavioural factors and BMI were found at the age of 6 years. At 11 years, daily sugar-sweetened foods consumption, use of active transport, sports club membership and longer nocturnal sleep duration were negatively associated with BMI in most regions; positive associations were found with media use. Most associations at 11 years of age persisted to 15 years. CONCLUSIONS Whilst population trajectories of media use and nocturnal sleep duration are similar across European regions, those of other behavioural risk factors like active transport and daily vegetable consumption differ. Also, associations between behavioural risk factors and BMI become stronger with age and show similar patterns across regions.
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Affiliation(s)
- Anton Schreuder
- Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Claudia Börnhorst
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Toomas Veidebaum
- National Institute for Health Development, Estonian Centre of Behavioral and Health Sciences, Tallinn, Estonia
| | | | - Elida Sina
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Paola Russo
- Institute of Food Sciences, National Research Council, Avellino, Italy
| | - Luis A Moreno
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
| | - Denes Molnar
- Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Lauren Lissner
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
- Institute of Statistics, Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Tanja Vrijkotte
- Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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Schreuder A, Corpeleijn E, Vrijkotte T. Modelling individual infancy growth trajectories to predict excessive gain in BMI z-score: a comparison of growth measures in the ABCD and GECKO Drenthe cohorts. BMC Public Health 2023; 23:2428. [PMID: 38053084 PMCID: PMC10698894 DOI: 10.1186/s12889-023-17354-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 11/28/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Excessive weight gain during childhood is a strong predictor for adult overweight, but it remains unknown which growth measures in infancy (0-2 years of age), besides predictors known at birth, are the strongest predictors for excessive weight gain between 2 and 5-7 years of age. METHODS The Amsterdam Born Children and their Development (ABCD) study formed the derivation cohort, and the Groningen Expert Center for Kids with Obesity (GECKO) Drenthe study formed the validation cohort. Change (Δ) in body mass index (BMI) z-score between 2 and 5-7 years was the outcome of interest. The growth measures considered were weight, weight-for-length (WfL), and body mass index (BMI). Formats considered for each growth measure were values at 1, 6, 12, and 24 months, at the BMI peak, the change between aforementioned ages, and prepeak velocity. 10 model structures combining different variable formats and including predictors at birth were derived for each growth measure, resulting in 30 linear regression models. A Parsimonious Model considering all growth measures and a Birth Model considering none were also derived. RESULTS The derivation cohort consisted of 3139 infants of which 373 (11.9%) had excessive gain in BMI z-score (> 0.67). The validation cohort contained 2201 infants of which 592 (26.9%) had excessive gain. Across the 3 growth measures, 5 model structures which included measures related to the BMI peak and prepeak velocity (derivation cohort area under the curve [AUC] range = 0.765-0.855) achieved more accurate estimates than 3 model structures which included growth measure change over time (0.706-0.795). All model structures which used BMI were superior to those using weight or WfL. The AUC across all models was on average 0.126 lower in the validation cohort. The Parsimonious Model's AUCs in the derivation and validation cohorts were 0.856 and 0.766, respectively, compared to 0.690 and 0.491, respectively, for the Birth Model. The respective false positive rates were 28.2% and 20.1% for the Parsimonious Model and 70.0% and 74.6% for the Birth Model. CONCLUSION Models' performances varied significantly across model structures and growth measures. Developing the optimal model requires extensive testing of the many possibilities.
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Affiliation(s)
- Anton Schreuder
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands.
- Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands.
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Tanja Vrijkotte
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands
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Larsen H, Hermans RCJ, Kayabal S, Renders CM, Vrijkotte TGM. Associations between parental and pre-adolescents' physical activity and diet quality: The role of parental child care involvement and child's sex. Eat Behav 2023; 50:101775. [PMID: 37356411 DOI: 10.1016/j.eatbeh.2023.101775] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 05/25/2023] [Accepted: 06/13/2023] [Indexed: 06/27/2023]
Abstract
BACKGROUND Research has demonstrated the importance of the family environment in the eating and activity levels of offspring. We examined the cross-sectional associations between moderate-to-vigorous physical activity (MVPA) and diet quality of parents and the MVPA and diet quality of pre-adolescents. Interactions were tested to assess whether the child's sex and the parental level of involvement in daily child care moderated these associations. METHODS Data from 2467 pre-adolescents (age 11.5 ± 0.2 years; collected in 2015-2016) and their parents or caregivers from a large-scale prospective birth cohort study in Amsterdam (ABCD-study) was used. Parents and pre-adolescents individually reported their diet quality and physical activity. Child care involvement was assessed using the Caregiver Child Interaction Scale. With hierarchical linear regression analyses, we assessed the independent contribution of fathers and mothers. RESULTS An association between mother-child MVPA was found (β = 0.013; 95 % CI: 0.006;0.021). The association between father-child MVPA was only significant for highly involved fathers (β = 0.014; 95 % CI: 0.004;0.023). The child's sex did not change these MVPA associations. Regarding diet quality, associations were found between mother-child diet quality score (DQS) (β = 0.254; 95 % CI: 0.192;0.316) and father-child DQS, with stronger associations between fathers and sons (β = 0.234; 95 % CI: 0.169;0.298) than between fathers and daughters (β = 0.114; 95 % CI: 0.047;0.181). Parental levels of involvement did not change these associations. CONCLUSION These findings demonstrate that both parental behaviours represent an important factor in physical activity and diet quality in pre-adolescents in a sex-specific manner. As such, it is essential to include both parents in research to obtain the necessary insights for developing effective interventions to promote children's healthy eating and physical activity behaviours.
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Affiliation(s)
- Helle Larsen
- Department of Psychology, Developmental Psychology, University of Amsterdam, Postbus 15916, 1001 NK Amsterdam, the Netherlands.
| | - Roel C J Hermans
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Sara Kayabal
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Postbox 22660, 1100 DD Amsterdam, the Netherlands
| | - Carry M Renders
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, the Netherlands.
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Postbox 22660, 1100 DD Amsterdam, the Netherlands.
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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: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [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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22
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Florian S, Ichou M, Panico L, Pinel-Jacquemin S, Vrijkotte TGM, Harskamp-van Ginkel MW, Huang RC, Carson J, Rodriguez LSM, Subiza-Pérez M, Vrijheid M, Fernández-Barrés S, Yang TC, Wright J, Corpeleijn E, Cardol M, Isaevska E, Moccia C, Kooijman MN, Voerman E, Jaddoe V, Welten M, Spada E, Rebagliato M, Beneito A, Ronfani L, Charles MA. Differences in birth weight between immigrants' and natives' children in Europe and Australia: a LifeCycle comparative observational cohort study. BMJ Open 2023; 13:e060932. [PMID: 36958776 PMCID: PMC10040079 DOI: 10.1136/bmjopen-2022-060932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/17/2023] [Indexed: 03/25/2023] Open
Abstract
OBJECTIVE Research on adults has identified an immigrant health advantage, known as the 'immigrant health paradox', by which migrants exhibit better health outcomes than natives. Is this health advantage transferred from parents to children in the form of higher birth weight relative to children of natives? SETTING Western Europe and Australia. PARTICIPANTS We use data from nine birth cohorts participating in the LifeCycle Project, including five studies with large samples of immigrants' children: Etude Longitudinale Française depuis l'Enfance-France (N=12 494), the Raine Study-Australia (N=2283), Born in Bradford-UK (N=4132), Amsterdam Born Children and their Development study-Netherlands (N=4030) and the Generation R study-Netherlands (N=4877). We include male and female babies born to immigrant and native parents. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome is birth weight measured in grams. Different specifications were tested: birth weight as a continuous variable including all births (DV1), the same variable but excluding babies born with over 4500 g (DV2), low birth weight as a 0-1 binary variable (1=birth weight below 2500 g) (DV3). Results using these three measures were similar, only results using DV1 are presented. Parental migration status is measured in four categories: both parents natives, both born abroad, only mother born abroad and only father born abroad. RESULTS Two patterns in children's birth weight by parental migration status emerged: higher birth weight among children of immigrants in France (+12 g, p<0.10) and Australia (+40 g, p<0.10) and lower birth weight among children of immigrants in the UK (-82 g, p<0.05) and the Netherlands (-80 g and -73 g, p<0.001) compared with natives' children. Smoking during pregnancy emerged as a mechanism explaining some of the birth weight gaps between children of immigrants and natives. CONCLUSION The immigrant health advantage is not universally transferred to children in the form of higher birth weight in all host countries. Further research should investigate whether this cross-national variation is due to differences in immigrant communities, social and healthcare contexts across host countries.
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Affiliation(s)
- Sandra Florian
- French National Institute for Demographic Studies, INED, Paris, France
| | - Mathieu Ichou
- French National Institute for Demographic Studies, INED, Paris, France
| | - Lidia Panico
- French National Institute for Demographic Studies, INED, Paris, France
- Centre for Research on Social Inequalities (CRIS), Sciences Po, Paris, France
| | | | - Tanja G M Vrijkotte
- Department of Public Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Margreet W Harskamp-van Ginkel
- Department of Public Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Rae-Chi Huang
- Nutrition and Health Innovation Research Institute, Edith Cowan University School of Medical and Health Sciences, Perth, Western Australia, Australia
| | - Jennie Carson
- Telethon Kids Institute, School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia
| | - Loreto Santa Marina Rodriguez
- Sub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, San Sebastián, Spain
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastián, Spain
| | - Mikel Subiza-Pérez
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastián, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Martine Vrijheid
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- ISGlobal, Barcelona, Spain
| | | | - Tiffany C Yang
- Bradford Teaching Hospitals NHS Foundation Trust, Bradford Institute for Health Research, Bradford, UK
| | - John Wright
- Bradford Teaching Hospitals NHS Foundation Trust, Bradford Institute for Health Research, Bradford, UK
| | - Eva Corpeleijn
- Department of Epidemiology, GECKO Drenthe Cohort, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marloes Cardol
- Department of Epidemiology, GECKO Drenthe Cohort, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Elena Isaevska
- Dipartimento di Scienze Mediche, Universita degli Studi di Torino, Torino, Italy
| | - Chiara Moccia
- Department of Medical Sciences, University of Turin, Torino, Italy
| | - Marjolein N Kooijman
- The Generation R Study Group, University Medical Center, Erasmus Medical Center, Rotterdam, The Netherlands
- University Medical Center, Erasmus Medical Center Department of General Pediatrics, Rotterdam, The Netherlands
| | - Ellis Voerman
- The Generation R Study Group, University Medical Center, Erasmus Medical Center, Rotterdam, The Netherlands
- University Medical Center, Erasmus Medical Center Department of General Pediatrics, Rotterdam, The Netherlands
| | - Vincent Jaddoe
- The Generation R Study Group, University Medical Center, Erasmus Medical Center, Rotterdam, The Netherlands
- University Medical Center, Erasmus Medical Center Department of General Pediatrics, Rotterdam, The Netherlands
| | - Marieke Welten
- The Generation R Study Group, University Medical Center, Erasmus Medical Center, Rotterdam, The Netherlands
- University Medical Center, Erasmus Medical Center Department of General Pediatrics, Rotterdam, The Netherlands
| | - Elena Spada
- Unit of Epidemiology, Meyer Children's University Hospital, Florence, Italy
| | - Marisa Rebagliato
- Predepartamental Unit of Medicine, Universitat Jaume I, Castello de la Plana, Comunitat Valenciana, Spain
- CIBERESP, Madrid, Spain
| | - Andrea Beneito
- Joint Research Unit in Epidemiology, Environment and Health, FISABIO, Valencia, Spain
| | - Luca Ronfani
- Clinical Epidemiology and Public Health Research Unit, Istituto di Ricovero e Cura a Carattere Scientifico materno infantile Burlo Garofolo, Trieste, Italy
| | - Marie-Aline Charles
- Inserm and INED Joint Research Group, Paris, France
- Université Paris Cité, Inserm, Inrae, Cress, Paris, France
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23
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Maternal serum cortisol levels during pregnancy differ by fetal sex. Psychoneuroendocrinology 2023; 149:105999. [PMID: 36543024 DOI: 10.1016/j.psyneuen.2022.105999] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 12/02/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Males and females have different patterns of fetal growth, resulting in different sizes at birth. Increased maternal cortisol levels in pregnancy negatively impact fetal growth. However, it is unknown whether sexual dimorphism displays differences in maternal cortisol levels already during early pregnancy and to what extent it explains sex differences in intra-uterine growth. The present cross-sectional study investigated whether fetal sex was associated with the level of maternal serum total cortisol in first half of pregnancy and its contribution to sex differences in fetal growth. METHOD The study population comprised 3049 pregnant women from the Amsterdam Born Children and their Development (ABCD)-cohort). Total serum cortisol levels were determined during pregnancy. Multivariable linear regression was used to determine fetal sex differences in maternal cortisol levels and its association with sex differences in fetal growth measured as birth weight standardized for gestational age, parity and sex. RESULTS Maternal serum total cortisol increased during pregnancy from on average 390 ± 22 nmol/L (at 5th week) to 589 ± 15 nmol/L (at 20th week). Women carrying a female fetus had higher maternal total cortisol levels. This sex difference was not significant before the 11th week; at the 12th week the difference was 15 ± 7 nmol/L which increased to 45 ± 22 nmol/L at the 20th week (p-for-interaction=0.05). Maternal total cortisol levels were associated with birth weight (ß:-0.22;P < 0.001). However, sex differences in birth weight were not explained by related maternal total cortisol levels. CONCLUSION The sexual dimorphic maternal serum total cortisol levels are apparent after the first trimester but do not explain the different patterns of fetal growth.
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24
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Isabel C, Faro Rebecca V, Vrijkotte TGM, Theodorus Bartholomeus T. Early pregnancy triglycerides and not fructosamine are associated with birth weight (with foetal sexual dimorphism). Eur J Clin Invest 2023; 53:e13896. [PMID: 36327143 DOI: 10.1111/eci.13896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/16/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND We evaluated whether maternal triglycerides (TGs) or fructosamine (measured in early pregnancy) predominantly contribute to birth weight (BW), in a foetal sexual dimorphism. METHODS Analysis of data from the Amsterdam Born Children and their Development cohort study (total n = 3514). Maternal nonfasting TGs and fructosamine were determined in early gestation (median 13 weeks). Multivariable linear regression analysis was used to determine whether maternal TGs or fructosamine was associated with BW-small for gestational age (SGA)-large for gestational age (LGA) and whether it was sex-dependent. RESULTS With each 1 mmol/L increase in TGs, BW increased significantly by 81.7 g. This increase was larger with boys (107.3 g; 95% CI 66-148) than girls (60.5 g; 95% CI 23.6-97.4). No association was found with fructosamine. When including different covariates (gestational age at blood sampling, total duration of pregnancy, maternal height, age, parity, ethnicity, educational level, smoking, alcohol, and pre-pregnancy BMI), 29% of the variance in BW can be explained. Adding fructosamine to this model gave no added value in predicting BW, in contrast to adding TGs (R2 raised from 0.292 to 0.299, p < .001). The odds of a newborn LGA with higher maternal TG were increased (OR 1.6, 95% CI 1.3-2.0), in contrast to fructosamine. CONCLUSIONS Maternal TGs were more dominant (compared to fructosamine) in its association with BW (measured in early physiological pregnancy) and more prominently present when carrying a male foetus. These remarkable observations warrant more future research, especially in obese patients at risk for gestational diabetes.
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Affiliation(s)
- Clinck Isabel
- Department of Endocrinology, Diabetology and Metabolism, AZ Monica, Antwerp, Belgium.,Internal Medicine, University of Antwerp, Antwerp, Belgium
| | - Verelst Faro Rebecca
- Department of Endocrinology, Diabetology and Metabolism, AZ Monica, Antwerp, Belgium.,Internal Medicine, University of Antwerp, Antwerp, Belgium
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands
| | - Twickler Theodorus Bartholomeus
- Department of Endocrinology, Diabetology and Metabolism, AZ Monica, Antwerp, Belgium.,Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
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25
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Beumer WY, Roseboom TJ, Koot MH, Vrijkotte T, van Ditzhuijzen J. Carrying an unintended pregnancy to term and long-term maternal psychological distress: Findings from the Dutch prospective Amsterdam Born Children and their Development study. WOMEN'S HEALTH (LONDON, ENGLAND) 2023; 19:17455057231213737. [PMID: 38062674 PMCID: PMC10704944 DOI: 10.1177/17455057231213737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 10/19/2023] [Accepted: 10/25/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND Given the estimated high rate of unintended pregnancies, it is important to investigate long-term effects on psychological distress in women carrying an unintended pregnancy to term. However, research into associations between unintended pregnancies carried to term and psychological distress postpartum is mixed, and especially, evidence on long-term associations is scarce. OBJECTIVE To examine whether carrying an unintended pregnancy to term is associated with maternal psychological distress later in life, up to 12 years postpartum. DESIGN This study is based on the population-based birth cohort study 'Amsterdam Born Children and their Development' study, which included pregnant people in 2003 (n = 7784) and followed them up until 12 years postpartum. METHODS Unintended pregnancy was measured as a multidimensional construct, based on self-reported data around 16 weeks gestation on pregnancy mistiming, unwantedness and unhappiness. Symptoms of maternal psychological distress were assessed around 3 months, 5 years and 12 years postpartum using multiple questionnaires measuring symptoms of depression, anxiety and stress. Multiple structural equation modelling models were analysed, examining the associations between dimensions of unintended pregnancy and maternal psychological distress per time point, while controlling for important co-occurring risks. RESULTS Pregnancy mistiming and unhappiness were significant predictors of more maternal psychological distress around 3 months postpartum. Around 5 years postpartum, only pregnancy mistiming was positively associated with maternal psychological distress. Dimensions of unintended pregnancy were no longer associated with maternal psychological distress around 12 years postpartum. Strikingly, antenatal psychological distress was a much stronger predictor of maternal psychological distress than pregnancy intention dimensions. CONCLUSION Those who carried a more unintended pregnancy to term reported more symptoms of psychological distress at 3 months and 5 years postpartum. People carrying an unintended pregnancy to term may benefit from extra support, not because of the pregnancy intentions per se, but because they may be related to antenatal psychological distress.
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Affiliation(s)
- Wieke Y Beumer
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Amsterdam, Netherlands
- Amsterdam UMC location University of Amsterdam, Obstetrics and Gynaecology, Amsterdam, Netherlands
- Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Tessa J Roseboom
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Amsterdam, Netherlands
- Amsterdam UMC location University of Amsterdam, Obstetrics and Gynaecology, Amsterdam, Netherlands
- Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Marjette H Koot
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Amsterdam, Netherlands
- Amsterdam UMC location University of Amsterdam, Obstetrics and Gynaecology, Amsterdam, Netherlands
| | - Tanja Vrijkotte
- Amsterdam UMC location Vrije Universiteit Amsterdam, Public and Occupational Health, Amsterdam, Netherlands
| | - Jenneke van Ditzhuijzen
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Amsterdam, Netherlands
- Amsterdam UMC location University of Amsterdam, Obstetrics and Gynaecology, Amsterdam, Netherlands
- Social Policy and Public Health, Department of Interdisciplinary Social Science, Utrecht University, Utrecht, The Netherlands
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26
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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. ENVIRONMENT INTERNATIONAL 2022; 170:107648. [PMID: 36436464 DOI: 10.1016/j.envint.2022.107648] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [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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27
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Baas RE, Hutten BA, Henrichs J, Vrijkotte TGM. Associations Between Maternal Lipid Blood Levels at the 13th Week of Pregnancy and Offspring's Adiposity at Age 11-12 Years. J Clin Endocrinol Metab 2022; 107:e4048-e4057. [PMID: 35861593 PMCID: PMC9516046 DOI: 10.1210/clinem/dgac442] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT There is increasing evidence that intrauterine lipid metabolism influences the adiposity of the newborn and the first years thereafter. It remains unclear if these effects persist when these children grow older. OBJECTIVE This study examined the associations between maternal lipid blood levels during the 13th week of pregnancy and an offspring's adiposity, measured at age 11-12, and if these associations were moderated by the child's sex. METHODS Data were obtained from a community-based birth cohort, the Amsterdam Born Children and their Development (ABCD) study. At a median of 13 weeks' gestation, nonfasting blood samples of triglycerides (TGs), total cholesterol (TC), free fatty acids (FFAs), and apolipoprotein B/apolipoprotein A1 ratio (ApoB/ApoA1) were measured. An offspring's body mass index (BMI), subcutaneous fat (SCF), waist-to-height-ratio (WHtR), and fat percentage (fat%) were measured at age 11-12. Mothers with at-term born children were included (n = 1853). Multivariable linear regression analyses were performed to assess the associations between maternal lipids and each offspring's adiposity outcome separately. Sex differences were additionally evaluated. RESULTS TGs, TC, ApoB/ApoA1, and FFAs were significantly positively associated with BMI, WHtR, and fat% (adjusted for gestational age at blood sampling, child's age, sex, and sexual maturation). After additional adjustments for potential confounders and covariates, only TGs remained significantly associated with WHtR (0.45, 95% CI -0.007; 0.91). There were no associations between maternal lipids and SCF and no clear sex-specific results were found. CONCLUSION Overall, our results do not strongly support that maternal lipid profile during the 13th week of pregnancy has programming effects on adiposity in preadolescence.
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Affiliation(s)
- Rosa E Baas
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Barbara A Hutten
- Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences Research Institute, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jens Henrichs
- Department of Midwifery Science, AVAG, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Tanja G M Vrijkotte
- Correspondence: Tanja G.M. Vrijkotte, Department of Public and Occupational Health, Amsterdam UMC location AMC, Postbox 22660, 1100 DD Amsterdam, The Netherlands,
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28
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Rajula HSR, Manchia M, Agarwal K, Akingbuwa WA, Allegrini AG, Diemer E, Doering S, Haan E, Jami ES, Karhunen V, Leone M, Schellhas L, Thompson A, van den Berg SM, Bergen SE, Kuja-Halkola R, Hammerschlag AR, Järvelin MR, Leval A, Lichtenstein P, Lundstrom S, Mauri M, Munafò MR, Myers D, Plomin R, Rimfeld K, Tiemeier H, Ystrom E, Fanos V, Bartels M, Middeldorp CM. Overview of CAPICE-Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe-an EU Marie Skłodowska-Curie International Training Network. Eur Child Adolesc Psychiatry 2022; 31:829-839. [PMID: 33474652 PMCID: PMC9142454 DOI: 10.1007/s00787-020-01713-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/21/2020] [Indexed: 01/30/2023]
Abstract
The Roadmap for Mental Health and Wellbeing Research in Europe (ROAMER) identified child and adolescent mental illness as a priority area for research. CAPICE (Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe) is a European Union (EU) funded training network aimed at investigating the causes of individual differences in common childhood and adolescent psychopathology, especially depression, anxiety, and attention deficit hyperactivity disorder. CAPICE brings together eight birth and childhood cohorts as well as other cohorts from the EArly Genetics and Life course Epidemiology (EAGLE) consortium, including twin cohorts, with unique longitudinal data on environmental exposures and mental health problems, and genetic data on participants. Here we describe the objectives, summarize the methodological approaches and initial results, and present the dissemination strategy of the CAPICE network. Besides identifying genetic and epigenetic variants associated with these phenotypes, analyses have been performed to shed light on the role of genetic factors and the interplay with the environment in influencing the persistence of symptoms across the lifespan. Data harmonization and building an advanced data catalogue are also part of the work plan. Findings will be disseminated to non-academic parties, in close collaboration with the Global Alliance of Mental Illness Advocacy Networks-Europe (GAMIAN-Europe).
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Affiliation(s)
- Hema Sekhar Reddy Rajula
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy.,Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Kratika Agarwal
- Department of Learning, Data Analytics and Technology, University of Twente, Enschede, The Netherlands
| | - Wonuola A Akingbuwa
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Andrea G Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Elizabeth Diemer
- Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Sabrina Doering
- Centre for Ethics, Law and Mental Health (CELAM), Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Elis Haan
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Psychological Science, University of Bristol, Bristol, UK
| | - Eshim S Jami
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Marica Leone
- Janssen Pharmaceutical, Global Commercial Strategy Organization, Stockholm, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Laura Schellhas
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Psychological Science, University of Bristol, Bristol, UK
| | - Ashley Thompson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stéphanie M van den Berg
- Department of Learning, Data Analytics and Technology, University of Twente, Enschede, The Netherlands
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anke R Hammerschlag
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.,Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Australia
| | - Marjo Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Faculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulun yliopisto, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland.,Department of Life Sciences, College of Health and Life Sciences, Brunel University , London, UK
| | - Amy Leval
- Janssen Pharmaceutical, Global Commercial Strategy Organization, Stockholm, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundstrom
- Centre for Ethics, Law and Mental Health (CELAM), Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | | | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Psychological Science, University of Bristol, Bristol, UK
| | - David Myers
- Janssen Pharmaceutical, Global Commercial Strategy Organization, Stockholm, Sweden
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Henning Tiemeier
- Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Eivind Ystrom
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.,Norwegian Institute of Public Health, Oslo, Norway.,Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, Cagliari, Italy
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Christel M Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. .,Child Health Research Centre, Level 6, Centre for Children's Health Research, University of Queensland, 62 Graham Street, South Brisbane, QLD, 4101, Australia. .,Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Australia.
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29
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Amouzegar A, Pearce EN, Mehran L, Lazarus J, Takyar M, Azizi F. TPO antibody in euthyroid pregnant women and cognitive ability in the offspring: a focused review. J Endocrinol Invest 2022; 45:425-431. [PMID: 34515961 DOI: 10.1007/s40618-021-01664-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 08/13/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE A link between maternal thyroid dysfunction during pregnancy and the risk of cognitive and behavioral problems in the offspring has previously been established; however, the potential effects of maternal thyroid autoimmunity on neurodevelopment in the absence of maternal hypothyroidism are less clear. The present review aims to highlight the gaps in knowledge in this regard and provide a thorough assessment of relevant literature. METHOD Related keywords searched in MEDLINE, Web of Science, and Scopus till January 2021. RESULTS There is some evidence that neuropsychological and intellectual developments of offspring are adversely affected by maternal thyroid autoimmunity, although the results of available studies are not concordant. The tools and measurements that have been applied in different studies to assess neurodevelopment or IQ vary widely and the children born to mothers with thyroid autoimmunity have been assessed at different chronological stages of life. Such variations may explain some of the differences across studies. In addition, the definition of thyroid autoimmunity has been based on TPOAb cut points provided by manufacturers in most cases, but it is preferable to define these values based on age, trimester, and method-specific reference ranges. CONCLUSION Well-designed studies are needed to assess verbal and non-verbal neurocognition of offspring born to mothers with autoimmune thyroid disease before or during pregnancy.
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Affiliation(s)
- A Amouzegar
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 19395-4763, Tehran, Iran
| | - E N Pearce
- Section of Endocrinology, Diabetes and Nutrition, Boston University School of Medicine, 88 East Newton Street, Evans 201, Boston, MA, 02118, USA
| | - L Mehran
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 19395-4763, Tehran, Iran
| | - J Lazarus
- Thyroid Research Group, Systems Immunity Research Institute, Cardiff University School of Medicine, Cardiff, UK
| | - M Takyar
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 19395-4763, Tehran, Iran
| | - F Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 19395-4763, Tehran, Iran.
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30
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Op den Kelder R, Van den Akker AL, Ensink JBM, Geurts HM, Overbeek G, de Rooij SR, Vrijkotte TGM, Lindauer RJL. Longitudinal Associations Between Trauma Exposure and Executive Functions in Children: Findings from a Dutch Birth Cohort Study. Res Child Adolesc Psychopathol 2021; 50:295-308. [PMID: 34482489 PMCID: PMC8885557 DOI: 10.1007/s10802-021-00847-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2021] [Indexed: 11/26/2022]
Abstract
This study is the first to distinguish two possible predictive directions between trauma exposure and executive functioning in children in a community sample. The sample consists of 1006 children from two time points with a seven years’ time interval of a longitudinal Dutch birth cohort study, the ABCD-study (Van Eijsden et al., 2011). We analyzed the longitudinal associations between trauma exposure and executive functioning using structural equation modeling. The results demonstrated that (after controlling for prenatal substance exposure and mothers’ educational level) trauma exposure before age 5 is predictive of poorer executive functioning at age 12 and trauma exposure between age 6 and 12. However, the association between executive functioning at age 5 and trauma exposure between age 6 and 12 was not statistically significant. Our results indicate that early life trauma exposure has a long term impact on later executive functioning and not the other way around. On top of that, trauma exposure seems to accumulate across childhood when children are exposed to a traumatic event before the age of 5. When looking at the potential moderating role of parenting behavior we found no evidence for such a moderating effect of parenting behavior. Our findings showed that children exposed to trauma early in life may experience problems in executive functioning later in life and they seem at higher risk for cumulative trauma exposure. Clinical practice should take this into account in both the way they provide (early) mental health care and in prevention and recognition of early trauma exposure.
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Affiliation(s)
- R Op den Kelder
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands.
- Levvel Academic Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands.
| | - A L Van den Akker
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
- Research Institute of Child Development and Education/Research Priority Area YIELD, University of Amsterdam, Amsterdam, The Netherlands
| | - J B M Ensink
- Levvel Academic Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - H M Geurts
- Department of Psychology (Brain and Cognition)/ Research Priority Area YIELD, University of Amsterdam, Amsterdam, The Netherlands
| | - G Overbeek
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
- Research Institute of Child Development and Education/Research Priority Area YIELD, University of Amsterdam, Amsterdam, The Netherlands
| | - S R de Rooij
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Epidemiology, Biostatistics and Bio-Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - T G M Vrijkotte
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - R J L Lindauer
- Levvel Academic Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands
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31
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Walker AL, de Rooij SR, Dimitrova MV, Witteveen AB, Verhoeven CJ, de Jonge A, Vrijkotte TGM, Henrichs J. Psychosocial and peripartum determinants of postpartum depression: Findings from a prospective population-based cohort. The ABCD study. Compr Psychiatry 2021; 108:152239. [PMID: 33905988 DOI: 10.1016/j.comppsych.2021.152239] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 02/07/2021] [Accepted: 03/13/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Postpartum depression is prevalent and concerns a serious health problem for women and their families. The current large-scale birth cohort study investigated: (1) the associations of various potential determinants of postpartum depression using a multidimensional approach, and (2) the individual contribution of obstetric and perinatal determinants and pregnancy-specific anxiety to the risk of postpartum depression. METHODS This study was based on a large-scale birth cohort study in Amsterdam, the Netherlands (ABCD-study). In 5109 women depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (cut-off ≥16 indicating high risk of postpartum depression). Determinants were assessed using self-report or perinatal registries. RESULTS In the final multivariable model, other-Western and non-Western ethnic background, increased antepartum depressive symptoms, increased antepartum anxiety, increased pregnancy-specific anxiety, being unemployed, poor sleep quality, unwanted pregnancy, abuse, multiparity, and congenital abnormality were all independently related to an increased risk of postpartum depression. The strongest risk factors for postpartum depression were antepartum depressive symptoms (adjusted odds ratio (AOR) = 3.86, 95% confidence interval (CI) 3.02-4.92), having a baby with a congenital abnormality (AOR = 2.33, 95% CI 1.46-3.73), and abuse (AOR = 1.95, 95% CI 1.02-3.73). The final model accounted for 24.5% of the variance. LIMITATIONS Our dataset did not provide information on social support or maternal and family history of depression. Next to these determinants, future research should include biological factors. CONCLUSIONS The determinants identified provide opportunities for the development of multidimensional early screening and early intervention strategies for women with an increased risk of postpartum depression.
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Affiliation(s)
- Annika L Walker
- Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Midwifery Science, AVAG - Amsterdam Public Health, De Boelelaan 1117, Amsterdam, Netherlands.
| | - Susanne R de Rooij
- Amsterdam University Medical Center, University of Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Meibergdreef 9, Amsterdam, Netherlands; Amsterdam University Medical Center, University of Amsterdam, Department of Public & Occupational Health, Amsterdam Public Health Research Institute, Academic UMC, Meibergdreef 9, Amsterdam, Netherlands; Centre for Urban Mental Health, University of Amsterdam, Amsterdam, Netherlands
| | - Marta V Dimitrova
- Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Midwifery Science, AVAG - Amsterdam Public Health, De Boelelaan 1117, Amsterdam, Netherlands
| | - Anke B Witteveen
- Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Midwifery Science, AVAG - Amsterdam Public Health, De Boelelaan 1117, Amsterdam, Netherlands
| | - Corine J Verhoeven
- Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Midwifery Science, AVAG - Amsterdam Public Health, De Boelelaan 1117, Amsterdam, Netherlands; Department of Obstetrics and Gynecology, Maxima Medical Centre, Veldhoven, Netherlands; Division of Midwifery, School of Health Sciences, University of Nottingham, Nottingham, United Kingdom
| | - Ank de Jonge
- Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Midwifery Science, AVAG - Amsterdam Public Health, De Boelelaan 1117, Amsterdam, Netherlands
| | - Tanja G M Vrijkotte
- Amsterdam University Medical Center, University of Amsterdam, Department of Public & Occupational Health, Amsterdam Public Health Research Institute, Academic UMC, Meibergdreef 9, Amsterdam, Netherlands
| | - Jens Henrichs
- Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Midwifery Science, AVAG - Amsterdam Public Health, De Boelelaan 1117, Amsterdam, Netherlands
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32
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Loheide-Niesmann L, Vrijkotte TGM, De Rooij SR, Wiers RW, Huizink A. Associations between autonomic nervous system activity and risk-taking and internalizing behavior in young adolescents. Psychophysiology 2021; 58:e13882. [PMID: 34145912 PMCID: PMC8459221 DOI: 10.1111/psyp.13882] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 05/26/2021] [Accepted: 05/26/2021] [Indexed: 01/20/2023]
Abstract
Dysregulated autonomic nervous system (ANS) activity has been associated with adolescent risk‐taking and internalizing behavior, but previous results in community samples have been mixed. We investigated whether ANS activity was associated with higher risk‐taking and internalizing behavior in young adolescents (age 11/12; n = 875), and whether adolescents' gender, parents' parenting style or a combination of both moderated these associations. Adolescents and their parents were recruited as part of the population‐based, longitudinal Amsterdam Born Children and their Development (ABCD) study. Risk‐taking behavior was assessed with the Balloon Analogue Risk Task and the personality characteristics sensation seeking and impulsivity, measured with the Substance Use Risk Profile Scale (SURPS). Internalizing behavior was assessed via the SURPS subscales anxiety sensitivity and hopelessness. Authoritative (AUTH‐SW) and authoritarian (AUTH‐S) parenting styles were measured with the Parenting Styles and Dimensions Questionnaire. Resting ANS activity was assessed via heart rate and respiratory sinus arrhythmia (RSA). Hierarchical, multivariable regression analyses showed higher RSA, but not heart rate, being associated with higher risk‐taking behavior and sensation seeking. The associations between ANS activity and risk‐taking variables were not significantly moderated by gender, parenting, or interactions between gender and parenting. Our findings suggest that RSA activity may be a relevant factor in mild to moderate risk‐taking behavior in adolescents from the general population, regardless of their gender or the type of parenting they experience. Dysregulated autonomic nervous system activity has been associated with adolescent risk‐taking and internalizing behavior, but previous results in community samples have been mixed. Our findings suggest that in adolescents from the general population, respiratory sinus arrhythmia activity may be a relevant factor in mild to moderate risk‐taking behavior but not in internalizing behavior, regardless of adolescents' gender or the type of parenting they experience.
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Affiliation(s)
- Lisa Loheide-Niesmann
- Department of Public and Occupational Health, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Clinical, Neuro- & Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Susanne R De Rooij
- Department of Public and Occupational Health, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Clinical, Neuro- & Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Epidemiology and Data Science, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Reinout W Wiers
- Addiction Development and Psychopathology (ADAPT)-Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Anja Huizink
- Department of Clinical, Neuro- & Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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33
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Taylor K, Elhakeem A, Thorbjørnsrud Nader JL, Yang TC, Isaevska E, Richiardi L, Vrijkotte T, Pinot de Moira A, Murray DM, Finn D, Mason D, Wright J, Oddie S, Roeleveld N, Harris JR, Andersen AN, Caputo M, Lawlor DA. Effect of Maternal Prepregnancy/Early-Pregnancy Body Mass Index and Pregnancy Smoking and Alcohol on Congenital Heart Diseases: A Parental Negative Control Study. J Am Heart Assoc 2021; 10:e020051. [PMID: 34039012 PMCID: PMC8483540 DOI: 10.1161/jaha.120.020051] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 03/29/2021] [Indexed: 11/29/2022]
Abstract
Background Congenital heart diseases (CHDs) are the most common congenital anomaly. The causes of CHDs are largely unknown. Higher prenatal body mass index (BMI), smoking, and alcohol consumption are associated with increased risk of CHDs. Whether these are causal is unclear. Methods and Results Seven European birth cohorts, including 232 390 offspring (2469 CHD cases [1.1%]), were included. We applied negative exposure paternal control analyses to explore the intrauterine effects of maternal BMI, smoking, and alcohol consumption during pregnancy, on offspring CHDs and CHD severity. We used logistic regression, adjusting for confounders and the other parent's exposure and combined estimates using a fixed-effects meta-analysis. In adjusted analyses, maternal overweight (odds ratio [OR], 1.15 [95% CI, 1.01-1.31]) and obesity (OR, 1.12 [95% CI, 0.93-1.36]), compared with normal weight, were associated with higher odds of CHD, but there was no clear evidence of a linear increase in odds across the whole BMI distribution. Associations of paternal overweight, obesity, and mean BMI were similar to the maternal associations. Maternal pregnancy smoking was associated with higher odds of CHD (OR, 1.11 [95% CI, 0.97-1.25]) but paternal smoking was not (OR, 0.96 [95% CI, 0.85-1.07]). The positive association with maternal smoking appeared to be driven by nonsevere CHD cases (OR, 1.22 [95% CI, 1.04-1.44]). Associations with maternal moderate/heavy pregnancy alcohol consumption were imprecisely estimated (OR, 1.16 [95% CI, 0.52-2.58]) and similar to those for paternal consumption. Conclusions We found evidence of an intrauterine effect for maternal smoking on offspring CHDs, but no evidence for higher maternal BMI or alcohol consumption. Our findings provide further support for the importance of smoking cessation during pregnancy.
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Affiliation(s)
- Kurt Taylor
- Population Health ScienceBristol Medical SchoolBristolUnited Kingdom
- Medical Research Council Integrative Epidemiology Unit at the University of BristolUnited Kingdom
| | - Ahmed Elhakeem
- Population Health ScienceBristol Medical SchoolBristolUnited Kingdom
- Medical Research Council Integrative Epidemiology Unit at the University of BristolUnited Kingdom
| | | | - Tiffany C. Yang
- Bradford Institute for Health ResearchBradford Teaching Hospitals National Health Service Foundation TrustBradfordUnited Kingdom
| | - Elena Isaevska
- Cancer Epidemiology UnitDepartment of Medical SciencesUniversity of Turin and CPO PiemonteTurinItaly
| | - Lorenzo Richiardi
- Cancer Epidemiology UnitDepartment of Medical SciencesUniversity of Turin and CPO PiemonteTurinItaly
| | - Tanja Vrijkotte
- Department of Public and Occupational HealthAmsterdam Public Health Research InstituteAmsterdam University Medical CenterUniversity of Amsterdamthe Netherlands
| | | | - Deirdre M. Murray
- The Irish Centre for Fetal and Neonatal Translational ResearchUniversity College CorkCorkIreland
- Department of Paediatrics and Child HealthUniversity College CorkCorkIreland
| | - Daragh Finn
- The Irish Centre for Fetal and Neonatal Translational ResearchUniversity College CorkCorkIreland
- Department of Paediatrics and Child HealthUniversity College CorkCorkIreland
| | - Dan Mason
- Bradford Institute for Health ResearchBradford Teaching Hospitals National Health Service Foundation TrustBradfordUnited Kingdom
| | - John Wright
- Bradford Institute for Health ResearchBradford Teaching Hospitals National Health Service Foundation TrustBradfordUnited Kingdom
| | - Sam Oddie
- Centre for Reviews and DisseminationUniversity of YorkHeslingtonYorkUnited Kingdom
| | - Nel Roeleveld
- Department for Health EvidenceRadboud Institute for Health SciencesRadboud University Medical CenterNijmegenthe Netherlands
| | - Jennifer R. Harris
- Division of Health Data and DigitalisationNorwegian Institute of Public HealthOsloNorway
- Centre for Fertility and HealthNorwegian Institute of Public HealthOsloNorway
| | | | - Massimo Caputo
- Translational ScienceBristol Medical SchoolBristolUnited Kingdom
- Bristol National Institute for Health Research Biomedical Research CenterBristolUnited Kingdom
| | - Deborah A. Lawlor
- Population Health ScienceBristol Medical SchoolBristolUnited Kingdom
- Medical Research Council Integrative Epidemiology Unit at the University of BristolUnited Kingdom
- Bristol National Institute for Health Research Biomedical Research CenterBristolUnited Kingdom
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34
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Harskamp-van Ginkel MW, Ierodiakonou D, Margetaki K, Vafeiadi M, Karachaliou M, Kogevinas M, Vrijkotte TGM, Chatzi L. Gestational sleep deprivation is associated with higher offspring body mass index and blood pressure. Sleep 2021; 43:5851407. [PMID: 32496519 PMCID: PMC7734474 DOI: 10.1093/sleep/zsaa110] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 05/20/2020] [Indexed: 12/26/2022] Open
Abstract
Study Objectives The objective of this study was to evaluate the association between gestational sleep deprivation and childhood adiposity and cardiometabolic profile. Methods Data were used from two population-based birth cohorts (Rhea study and Amsterdam Born Children and their Development study). A total of 3,608 pregnant women and their children were followed up until the age of 11 years. Gestational sleep deprivation was defined as 6 or fewer hours of sleep per day, reported by questionnaire. The primary outcomes included repeated measures of body mass index (BMI), waist circumference, body fat, serum lipids, systolic and diastolic blood pressure (DBP) levels in childhood. We performed a pooled analysis with adjusted linear mixed effect and Cox proportional hazards models. We tested for mediation by birthweight, gestational age, and gestational diabetes. Results Gestational sleep deprivation was associated with higher BMI (beta; 95% CI: 0.7; 0.4, 1.0 kg/m2) and waist circumference (beta; 95% CI: 0.9; 0.1, 1.6 cm) in childhood, and increased risk for overweight or obesity (HR; 95% CI: 1.4; 1.1, 2.0). Gestational sleep deprivation was also associated with higher offspring DBP (beta; 95% CI: 1.6; 0.5, 2.7 mmHg). The observed associations were modified by sex (all p-values for interaction < 0.05); and were more pronounced in girls. Gestational diabetes and shorter gestational age partly mediated the seen associations. Conclusions This is the first study showing that gestational sleep deprivation may increase offspring’s adiposity and blood pressure, while exploring possible mechanisms. Attention to glucose metabolism and preterm birth might be extra warranted in mothers with gestational sleep deprivation.
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Affiliation(s)
- Margreet W Harskamp-van Ginkel
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Despo Ierodiakonou
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Katerina Margetaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.,Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Marianna Karachaliou
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,ISGlobal, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Leda Chatzi
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA
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35
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Hilberdink CE, van Zuiden M, Schrantee A, Korosi A, Kaiser A, Zhutovsky P, Ginty AT, Ensink JBM, Lindauer RJL, Vrijkotte TGM, de Rooij SR. Dysregulated functional brain connectivity in response to acute social-evaluative stress in adolescents with PTSD symptoms. Eur J Psychotraumatol 2021; 12:1880727. [PMID: 33968316 PMCID: PMC8075091 DOI: 10.1080/20008198.2021.1880727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Background: Posttraumatic stress disorder (PTSD) is associated with dysregulated neural, cortisol, and cardiac stress reactivity and recovery. This understanding is predominantly based on studies in adults applying emotional-cognitive and trauma-related stimuli inducing negative emotions or perceived threat. Despite large numbers of adolescents with PTSD, few studies are available on neurobiological stress reactivity in this population. Moreover, no previous studies investigated neural reactivity to social-evaluative stress. Objective: To investigate functional brain connectivity, cortisol and cardiac reactivity to acute social-evaluative stress, and additional cortisol measures in trauma-exposed adolescents with and without high PTSD symptoms. Method: A speech preparation task to induce acute social-evaluative stress elicited by anticipatory threat, was used in a subsample of the Amsterdam Born Child and their Development (ABCD) birth cohort, consisting of trauma-exposed adolescents with (n = 20) and without (n = 29) high PTSD symptoms. Psychophysiological interaction analyses were performed to assess group differences in functional connectivity of the hippocampus, mPFC and amygdala during social-evaluative stress and recovery, measured by fMRI. Additionally, perceived stress, heart rate and cortisol stress reactivity and recovery, cortisol awakening response and day curve were compared. Results: The stressor evoked significant changes in heart rate and perceived stress, but not cortisol. The PTSD symptom and control groups differed in functional connectivity between the hippocampus and cerebellum, middle and inferior frontal gyrus, and the mPFC and inferior frontal gyrus during social-evaluative stress versus baseline. Mostly, the same patterns were found during recovery versus baseline. We observed no significant group differences in amygdala connectivity, and cortisol and cardiac measures. Conclusions: Our findings suggest threat processing in response to social-evaluative stress is disrupted in adolescents with PTSD symptoms. Our findings are mainly but not entirely in line with findings in adults with PTSD, which denotes the importance to investigate adolescents with PTSD as a separate population.
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Affiliation(s)
- Charlotte E Hilberdink
- Department of Psychiatry, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Mirjam van Zuiden
- Department of Psychiatry, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Aniko Korosi
- Swammerdam Institute for Life Sciences, Centre for Neuroscience, University of Amsterdam, Amsterdam, The Netherlands
| | - Antonia Kaiser
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Paul Zhutovsky
- Department of Psychiatry, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Annie T Ginty
- Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
| | - Judith B M Ensink
- Levvel, Academic Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands.,Department of Child and Adolescent Psychiatry (JBME, RJLL), Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Ramon J L Lindauer
- Levvel, Academic Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands.,Department of Child and Adolescent Psychiatry (JBME, RJLL), Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Tanja G M Vrijkotte
- Department of Epidemiology and Data Science, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Susanne R de Rooij
- Department of Epidemiology and Data Science, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Department of Public Health and Occupational Health, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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36
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Jaspers Faijer-Westerink H, Stavnsbo M, Hutten BA, Chinapaw M, Vrijkotte TGM. Ideal cardiovascular health at age 5-6 years and cardiometabolic outcomes in preadolescence. Int J Behav Nutr Phys Act 2021; 18:33. [PMID: 33676545 PMCID: PMC7936465 DOI: 10.1186/s12966-021-01090-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 01/19/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The American Heart Association (AHA) developed a definition of ideal cardiovascular health (ICH) based on the presence of both ideal health behaviours (diet, physical activity, weight status and smoking) and ideal health factors (glucose, total cholesterol and blood pressure levels). However, research of ICH in the paediatric population is scarce. We aimed to study ICH at age 5-6 years by extending the original ICH score with the health behaviours: sleep duration, screen time and prenatal smoke exposure, and to evaluate its association with cardiometabolic outcomes at age 11-12. METHODS A total of 1666 children aged 5-6 years were selected from the database of the ABCD-study, a prospective cohort study on the health and development of children born in Amsterdam, the Netherlands. Of these, 846 (50.8%) were boys and 1460 (87.6%) had a healthy weight. Data on self-reported health behaviours and health factors were used to calculate the ICH scores (original and extended) by adding the frequency of scoring 'healthy' on each indicator, based on international cut-offs. The children were followed up for 6 years and cardiometabolic outcomes (carotid intima-media thickness (CIMT), blood pressure, glucose and lipids) were measured. Associations between ICH (both original and extended) and cardiometabolic outcomes were examined using multivariable regression models. RESULTS At age 5-6 years, 11% scored poor (score 1-5), 56% intermediate (score 6-7) and 33% good (score 8-9) on extended ICH. Healthy diet and normal total cholesterol concentrations were the least prevalent. Neither the original nor the extended ICH scores were associated with CIMT at age 11-12. A higher score on the extended ICH was associated with lower total cholesterol (p for trend < 0.001), lower systolic (p for trend = 0.012) and diastolic blood pressure (p for trend = 0.011), and lower body mass index (BMI) (p < 0.001) at age 11-12. The original ICH score was associated with lower total cholesterol (p < 0.001) and BMI (p < 0.001) only. CONCLUSION Our findings suggest that extending the ICH score in young children with additional health behaviours improves prediction of some cardiometabolic outcomes, but not CIMT in preadolescence, compared to the original ICH score. We would recommend other researchers to incorporate objective measures of health behaviours and longer follow-up to find out whether associations persist into adulthood.
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Affiliation(s)
- Hester Jaspers Faijer-Westerink
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, PO Box 22700, Meibergdreef 9, room J2-209, 1100 DE, Amsterdam, The Netherlands
| | - Mette Stavnsbo
- Department of Sports Science and Physical Education, University of Agder, PO BOX 422, 4604, Kristiansand, Norway
| | - Barbara A Hutten
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Cardiovascular Sciences Research Institute, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, PO Box 22700, Meibergdreef 9, room J1B-209-1, 1100 DE, Amsterdam, The Netherlands
| | - Mai Chinapaw
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, PO Box 7057, van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, PO Box 22700, Meibergdreef 9, room J2-209, 1100 DE, Amsterdam, The Netherlands.
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37
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Diet quality at age 5-6 and cardiovascular outcomes in preadolescents. Clin Nutr ESPEN 2021; 43:506-513. [PMID: 34024563 DOI: 10.1016/j.clnesp.2021.02.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 12/09/2020] [Accepted: 02/12/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND & AIMS Specific dietary components during childhood may affect risk factors for cardiovascular disease. Whether overall higher diet quality prevents children from adverse cardiovascular outcomes remains contradictive. We aimed to examine the associations between diet quality at age 5-6 years and cardiovascular outcomes after a 6-year follow-up. METHODS We used data from the Amsterdam Born Children and their Development study, a multi-ethnic birth cohort. Dietary intake was assessed at age 5-6 using a semi-quantitative food frequency questionnaire and diet quality was ascertained with the Dietary Approaches to Stop Hypertension (DASH) score and the child diet quality score (CDQS), an index specifically developed for Dutch school-age children. Cardiovascular outcomes were examined after 6-years follow-up (age 11-12, N = 869). Outcomes were body mass index (BMI), waist circumference (WC), blood pressure (BP), lipid profile, fasting glucose and carotid intima-media thickness (CIMT). Multivariable linear and logistic regression models adjusted for baseline value were used to examine associations between diet quality and cardiovascular outcomes. RESULTS Higher diet quality at age 5-6 was associated with lower BMI (DASH score: Δ quintile (Q) 5 and Q1: -0.35 kg/m2, p for trend = 0.016), lower WC (DASH score: Δ Q5 and Q1: -1.0 cm, p for trend = 0.028), lower systolic (DASH score: Δ Q5 and Q1: -2.7 mmHg, p for trend = 0.046) and diastolic BP (DASH score: Δ Q5 and Q1: -2.4, p for trend < 0.001) and with lower plasma triglycerides (DASH score: Δ Q5 and Q1: -0.20 mmol/L, p for trend = 0.032) after 6-years follow-up. Associations of the CDQS with these outcomes showed similar trends, but less pronounced. We found no statistically significant associations between diet quality and LDL-C, HDL-C, total cholesterol, fasting glucose or CIMT. CONCLUSIONS Higher diet quality in childhood at age 5-6 years predicted better health on some cardiovascular outcomes in preadolescence.
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38
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Vrijkotte T, Brand T, Bonsel G. First trimester employment, working conditions and preterm birth: a prospective population-based cohort study. Occup Environ Med 2021; 78:654-660. [PMID: 33627481 PMCID: PMC8380879 DOI: 10.1136/oemed-2020-107072] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 12/14/2020] [Accepted: 01/05/2021] [Indexed: 11/24/2022]
Abstract
Objectives To explore the association between working conditions during first trimester and total preterm birth (PTB), and subtypes: spontaneous PTB and iatrogenic PTB, additionally to explore the role of hypertension. Methods Pregnant women from the Amsterdam Born Children and their Development study, filled out a questionnaire between January 2003 and March 2004, two weeks after first prenatal screening (singleton liveborn, n=7561). Working conditions were working hours/week, standing/walking hours/week, physical work load and job strain. Results Prolonged standing/walking during first trimester was associated with an increased risk for total PTB (OR=1.5; 95% CI 1.0–2.3, after adjustments). Other working conditions were not related to total PTB. The separation into spontaneous and iatrogenic PTB revealed that standing/walking was associated with iatrogenic PTB only (OR=2.09; 95% CI 1.00–4.97). The highest risk was found for the combination of a long workweek with high physical work load (OR=3.42; 95% CI 1.04–8.21). Hypertension did not mediate these associations; however, stratified analysis revealed that high physical work load was only related to iatrogenic PTB when pregnancy-induced hypertension was present (OR=6.44; 95% CI 1.21–29.76). Conclusion This study provides evidence that high physically demanding work is associated with an increased risk for iatrogenic PTB and not with spontaneous PTB. Pregnancy-induced hypertension may play a role: when present, high physical work load leads to a more severe outcome.
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Affiliation(s)
- Tanja Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Teus Brand
- Netherlands Center for Occupational Diseases, Coronel Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Gouke Bonsel
- Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands.,EuroQol Research Foundation, Rotterdam, Netherlands
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39
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Birks LE, van Wel L, Liorni I, Pierotti L, Guxens M, Huss A, Foerster M, Capstick M, Eeftens M, El Marroun H, Estarlich M, Gallastegi M, Safont LG, Joseph W, Santa-Marina L, Thielens A, Torrent M, Vrijkotte T, Wiart J, Röösli M, Cardis E, Vermeulen R, Vrijheid M. Radiofrequency electromagnetic fields from mobile communication: Description of modeled dose in brain regions and the body in European children and adolescents. ENVIRONMENTAL RESEARCH 2021; 193:110505. [PMID: 33245886 DOI: 10.1016/j.envres.2020.110505] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 11/02/2020] [Accepted: 11/17/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Little is known about radiofrequency electromagnetic fields (RF) from mobile technology and resulting dose in young people. We describe modeled integrated RF dose in European children and adolescents combining own mobile device use and surrounding sources. METHODS Using an integrated RF model, we estimated the daily RF dose in the brain (whole-brain, cerebellum, frontal lobe, midbrain, occipital lobe, parietal lobe, temporal lobes) and the whole-body in 8358 children (ages 8-12) and adolescents (ages 14-18) from the Netherlands, Spain, and Switzerland during 2012-2016. The integrated model estimated RF dose from near-field sources (digital enhanced communication technology (DECT) phone, mobile phone, tablet, and laptop) and far-field sources (mobile phone base stations via 3D-radiowave modeling or RF measurements). RESULTS Adolescents were more frequent mobile phone users and experienced higher modeled RF doses in the whole-brain (median 330.4 mJ/kg/day) compared to children (median 81.8 mJ/kg/day). Children spent more time using tablets or laptops compared to adolescents, resulting in higher RF doses in the whole-body (median whole-body dose of 81.8 mJ/kg/day) compared to adolescents (41.9 mJ/kg/day). Among brain regions, temporal lobes received the highest RF dose (medians of 274.9 and 1786.5 mJ/kg/day in children and adolescents, respectively) followed by the frontal lobe. In most children and adolescents, calling on 2G networks was the main contributor to RF dose in the whole-brain (medians of 31.1 and 273.7 mJ/kg/day, respectively). CONCLUSION This first large study of RF dose to the brain and body of children and adolescents shows that mobile phone calls on 2G networks are the main determinants of brain dose, especially in temporal and frontal lobes, whereas whole-body doses were mostly determined by tablet and laptop use. The modeling of RF doses provides valuable input to epidemiological research and to potential risk management regarding RF exposure in young people.
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Affiliation(s)
- Laura Ellen Birks
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Luuk van Wel
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Ilaria Liorni
- Foundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland
| | - Livia Pierotti
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Milena Foerster
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Myles Capstick
- Foundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland
| | - Marloes Eeftens
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, the Netherlands; Department of Psychology, Education and Child Studies - Erasmus University Rotterdam, the Netherlands
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Faculty of Nursing and Chiropody, Universitat de València, Spain
| | - Mara Gallastegi
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain
| | - Llúcia González Safont
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Wout Joseph
- Department of Information Technology, Ghent University/IMEC, Technologiepark 126, Ghent, 9052, Belgium
| | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain; Department of Health of the Basque Government, Public Health Division of Gipuzkoa, Donostia-San Sebastián, Spain
| | - Arno Thielens
- Department of Information Technology, Ghent University/IMEC, Technologiepark 126, Ghent, 9052, Belgium
| | - Maties Torrent
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Tanja Vrijkotte
- Department of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Joe Wiart
- Télécom ParisTech, LTCI University Paris Saclay, Chair C2M, Paris, France
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Elisabeth Cardis
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands; School of Public Health, Imperial College London, London, UK
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
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Sirkka O, Hof MH, Vrijkotte T, Abrahamse-Berkeveld M, Halberstadt J, Seidell JC, Olthof MR. Feeding patterns and BMI trajectories during infancy: a multi-ethnic, prospective birth cohort. BMC Pediatr 2021; 21:34. [PMID: 33441111 PMCID: PMC7805191 DOI: 10.1186/s12887-020-02456-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 12/01/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Milk feeding type (exclusive breastfeeding [EBF], formula feeding or mixed feeding) and timing of complementary feeding (CF) have been associated with infant growth. However, studies evaluating their combined role, and the role of ethnicity, are scarce. We examined associations of feeding patterns (milk feeding type combined with timing of CF) with infant body mass index (BMI) trajectories and potential ethnic-specific associations. METHODS Infant feeding and BMI data during the 1st year of life from 3524 children (Dutch n = 2880, Moroccan n = 404 and Turkish n = 240) from the Amsterdam Born Children and their Development (ABCD) cohort were used. Six feeding patterns were defined: EBF/earlyCF, EBF/lateCF (reference), formula/earlyCF, formula/lateCF, mixed/earlyCF and mixed/lateCF. A covariate adjusted latent class mixed model was applied to simultaneously model BMI trajectories and associations with feeding patterns. Potential ethnic differences in the associations were studied in a separate model where interactions between ethnicity and feeding patterns were included. RESULTS Four distinct BMI trajectories (low, mid-low, mid-high and high) were identified. Feeding pattern of formula/earlyCF was associated with lower odds for low (OR: 0.43; 95% CI: 0.25, 0.76) or mid-high (0.28; 0.16, 0.51) (ref: high) trajectory compared with EBF/lateCF pattern (ref). An ethnic-specific model revealed that among Dutch infants, formula/earlyCF pattern was associated with lower odds for low trajectory (0.46; 0.24, 0.87), whereas among Turkish/Moroccan infants almost all feeding patterns were associated with lower odds for the low trajectory (ref: high). CONCLUSION Infant feeding patterns are associated with early BMI trajectories with specific ethnic differences. Future studies should take the role of ethnicity into account in the associations between infant feeding and growth.
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Affiliation(s)
- Outi Sirkka
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1085, 1081 HV, Amsterdam, the Netherlands. .,Danone Nutricia Research, Utrecht, the Netherlands.
| | - Michel H Hof
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Tanja Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Jutka Halberstadt
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1085, 1081 HV, Amsterdam, the Netherlands
| | - Jacob C Seidell
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1085, 1081 HV, Amsterdam, the Netherlands
| | - Margreet R Olthof
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1085, 1081 HV, Amsterdam, the Netherlands
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Exposure to Radiofrequency Electromagnetic Field in the High-Frequency Band and Cognitive Function in Children and Adolescents: A Literature Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17249179. [PMID: 33302600 PMCID: PMC7764655 DOI: 10.3390/ijerph17249179] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/03/2020] [Accepted: 12/04/2020] [Indexed: 12/23/2022]
Abstract
With increasing use of mobile phones, exposure to radiofrequency electromagnetic field (RF-EMF) in the high-frequency band associated with mobile phones has become a public concern, with potentially adverse effects on cognitive function in children and adolescents. However, findings regarding the relation of RF-EMF and cognitive function in children and adolescents have been inconsistent due to a number of study design-related factors, such as types of exposure and outcome measures, age of participants, and the era of study conduction. The present literature review focused on these possible factors that could explain this inconsistency. This review identified 12 eligible studies (participants ages 4 to 17 years) and extracted a total 477 relations. In total, 86% of the extracted relations were not statistically significant; in the remaining 14%, a negative relation between RF-EMF and cognitive performance was detected under limited conditions: when (1) RF-EMF was assessed using objective measurement not subjective measurement (i.e., questionnaire), (2) participants were relatively older (12 years and above) and had greater opportunity of exposure to RF-EMF, and (3) the collection of cognitive function data was conducted after 2012. Given that 86% of the extracted relations in this analysis were not statistically significant, the interpretation should be approached with caution due to the possibility of the 14% of significant relationships, extracted in this review, representing chance findings.
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Onland-Moret NC, Buizer-Voskamp JE, Albers MEWA, Brouwer RM, Buimer EEL, Hessels RS, de Heus R, Huijding J, Junge CMM, Mandl RCW, Pas P, Vink M, van der Wal JJM, Hulshoff Pol HE, Kemner C. The YOUth study: Rationale, design, and study procedures. Dev Cogn Neurosci 2020; 46:100868. [PMID: 33075722 PMCID: PMC7575850 DOI: 10.1016/j.dcn.2020.100868] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 09/15/2020] [Accepted: 09/21/2020] [Indexed: 12/16/2022] Open
Abstract
Behavioral development in children shows large inter-individual variation, and is driven by the interplay between biological, psychological, and environmental processes. However, there is still little insight into how these processes interact. The YOUth cohort specifically focuses on two core characteristics of behavioral development: social competence and self-regulation. Social competence refers to the ability to engage in meaningful interactions with others, whereas self-regulation is the ability to control one's emotions, behavior, and impulses, to balance between reactivity and control of the reaction, and to adjust to the prevailing environment. YOUth is an accelerated population-based longitudinal cohort study with repeated measurements, centering on two groups: YOUth Baby & Child and YOUth Child & Adolescent. YOUth Baby & Child aims to include 3,000 pregnant women, their partners and children, wheras YOUth Child & Adolescent aims to include 2,000 children aged between 8 and 10 years old and their parents. All participants will be followed for at least 6 years, and potentially longer. In this paper we describe in detail the design of this study, the population included, the determinants, intermediate neurocognitive measures and outcomes included in the study. Furthermore, we describe in detail the procedures of inclusion, informed consent, and study participation.
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Affiliation(s)
- N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | | | - Maria E W A Albers
- Division of Woman and Baby, University Medical Center Utrecht, Utrecht University, the Netherlands; Division of Biomedical Genetics, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Rachel M Brouwer
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Elizabeth E L Buimer
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Roy S Hessels
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands; Developmental Psychology, Utrecht University, Utrecht, the Netherlands
| | - Roel de Heus
- Division of Woman and Baby, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Jorg Huijding
- Dept. Clinical Child and Family Studies, Social and Behavioral Sciences, Utrecht Univerity, Utrecht, the Netherlands
| | - Caroline M M Junge
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands; Developmental Psychology, Utrecht University, Utrecht, the Netherlands
| | - René C W Mandl
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Pascal Pas
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Matthijs Vink
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands; Developmental Psychology, Utrecht University, Utrecht, the Netherlands
| | | | - Hilleke E Hulshoff Pol
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Chantal Kemner
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands; Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands; Developmental Psychology, Utrecht University, Utrecht, the Netherlands
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Vrijkotte TGM, Smeets J, de Rooij SR, Bosch JA. Maternal long-chain polyunsaturated fatty acid status during early pregnancy: Association with child behavioral problems and the role of autonomic nervous system activity. Clin Nutr 2020; 40:3338-3345. [PMID: 33218766 DOI: 10.1016/j.clnu.2020.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 10/06/2020] [Accepted: 11/01/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND & AIMS The prenatal environment, including availability of critical nutrients, has a profound impact on offspring development. The present study examined the association between maternal long-chain polyunsaturated fatty acid (LC-PUFA) status during pregnancy and later child behavioral problems at the age of 5-6 years. In light of evidence of autonomic nervous system (ANS) dysregulation in some behavioral problems, study further tested if the above association is statistically mediated by cardiac ANS activity. METHODS Data was collected as part of the Amsterdam Born Children and their Development-study and complete data were available for 1717 mothers and their offspring. Maternal LC-PUFA status was assessed during early pregnancy (mean gestation = 12.7, SD = 2.5 weeks) and quantified as levels of docosahexenoic acid (DHA), arachidonic acid (AA), eicosapentaenoic acid (EPA), as well as the ratio of n-6:n-3 fatty acids. Child emotional problems and peer problems (internalizing problems), as well as conduct problems and inattention/hyperactivity (externalizing problems), were assessed using the Strengths and Difficulties Questionnaire as rated by the mother and teacher at 5-6 years. Child cardiac respiratory sinus arrhythmia (RSA), pre-ejection period (PEP), and heart rate (HR) were utilized as measures of ANS activity at 5-6 years. RESULTS The results confirmed an association between maternal LC-PUFA status and internalizing behavioral problems as rated by the mother, as shown for DHA (β = -0.11;p < 0.01), EPA (β = -0.22;p < 0.05), and n-6:n-3 LC-PUFA (β = 0.17;p < 0.01). Statistical mediation was only demonstrated for HR. No associations were observed between LC-PUFA status and externalizing behavioral problems. CONCLUSIONS The present results are consistent with a role of maternal LC-PUFA status in internalizing behavioral problems as rated by the mother. These results were not observed when problem behavior was rated by the teacher. Analyses did not yield strong evidence supporting ANS activity as a possible mediator in this relationship.
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Affiliation(s)
- T G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
| | - J Smeets
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - S R de Rooij
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - J A Bosch
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
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Xie T, Falahi F, Schmidt‐Ott T, Vrijkotte TGM, Corpeleijn E, Snieder H. Early Determinants of Childhood Blood Pressure at the Age of 6 Years: The GECKO Drenthe and ABCD Study Birth Cohorts. J Am Heart Assoc 2020; 9:e018089. [PMID: 33167754 PMCID: PMC7763711 DOI: 10.1161/jaha.120.018089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Background There is still uncertainty about the nature and relative impact of early determinants on childhood blood pressure. This study explored determinants of blood pressure at the age of 6 years in 2 Dutch birth cohorts. Methods and Results Results of hierarchical multiple linear regression analyses in GECKO (Groningen Expert Center for Kids With Obesity) Drenthe study (n=1613) were replicated in ABCD (Amsterdam Born Children and Their Development) study (n=2052). All analyses were adjusted for child's age, sex, height, and body mass index (BMI), and maternal education and subsequently performed in the combined sample. No associations were found between maternal smoking during pregnancy and childhood blood pressure. In the total sample, maternal prepregnancy BMI was positively associated with systolic blood pressure (SBP) (β [95% CI], 0.09 [0.02–0.16] mm Hg) and diastolic blood pressure (β [95% CI], 0.11 [0.04–0.17] mm Hg). Children of women with hypertension had higher SBP (β [95% CI], 0.98 [0.17–1.79] mm Hg). Birth weight standardized for gestational age was inversely associated with SBP (β [95% CI], −6.93 [−9.25 to −4.61] mm Hg) and diastolic blood pressure (β [95% CI], −3.65 [−5.70 to −1.61] mm Hg). Longer gestational age was associated with lower SBP (β [95% CI] per week, −0.25 [−0.42 to −0.08] mm Hg). Breastfeeding for 1 to 3 months was associated with lower SBP (β [95% CI], −0.96 [−1.82 to −0.09] mm Hg) compared with no or <1 month of breastfeeding. Early BMI gain from the age of 2 to 6 years was positively associated with SBP (β [95% CI], 0.41 [0.08–0.74] mm Hg) and diastolic blood pressure (β [95% CI], 0.37 [0.07–0.66] mm Hg), but no effect modification by birth weight was found. Conclusions Higher maternal prepregnancy BMI, maternal hypertension, a relatively lower birth weight for gestational age, shorter gestational age, limited duration of breastfeeding, and more rapid early BMI gain contribute to higher childhood blood pressure at the age of 6 years.
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Affiliation(s)
- Tian Xie
- Department of EpidemiologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Fahimeh Falahi
- Department of EpidemiologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Tabea Schmidt‐Ott
- Department of EpidemiologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Tanja G. M. Vrijkotte
- Department of Public HealthAmsterdam Public Health Research InstituteAmsterdam University Medical CenterUniversity of AmsterdamAmsterdamthe Netherlands
| | - Eva Corpeleijn
- Department of EpidemiologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Harold Snieder
- Department of EpidemiologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
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Taylor K, Elhakeem A, Nader JLT, Yang T, Isaevska E, Richiardi L, Vrijkotte T, de Moira AP, Murray DM, Finn D, Mason D, Wright J, Oddie S, Roeleveld N, Harris JR, Nybo Andersen AM, Caputo M, Lawlor DA. The effect of maternal pre-/early-pregnancy BMI and pregnancy smoking and alcohol on congenital heart diseases: a parental negative control study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.09.29.20203786. [PMID: 33173887 PMCID: PMC7654878 DOI: 10.1101/2020.09.29.20203786] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Congenital heart diseases (CHDs) are the most common congenital anomaly. The causes of CHDs are largely unknown. Higher prenatal body mass index (BMI), smoking and alcohol consumption are associated with increased risk of CHDs. Whether these are causal is unclear. METHODS AND RESULTS Seven European birth cohorts including 232,390 offspring (2,469 CHD cases [1.1%]) were included. We applied negative exposure paternal control analyses to explore the intrauterine effects of maternal BMI, smoking and alcohol consumption during pregnancy, on offspring CHDs and CHD severity. We used logistic regression and combined estimates using a fixed-effects meta-analysis. Analyses of BMI categories resulted in similar increased odds of CHD in overweight (mothers OR: 1.15 (1.01, 1.31) and fathers 1.10 (0.96, 1.27)) and obesity (mothers OR: 1.12 (0.93, 1.36) and fathers 1.16 (0.90, 1.50)). The association of mean BMI with CHD was null. Maternal smoking was associated with increased odds of CHD (OR: 1.11 (0.97, 1.25)) but paternal smoking was not (OR: 0.96 (0.85, 1.07)). The difference increased when removing offspring with genetic/chromosomal defects (mothers OR: 1.15 (1.01, 1.32) and fathers 0.93 (0.83, 1.05)). The positive association with maternal pregnancy smoking appeared to be driven by non-severe CHD cases (OR: 1.22 (1.04, 1.44)). Associations with maternal (OR: 1.16 (0.52, 2.58)) and paternal (OR: 1.23 (0.74, 2.06)) moderate/heavy pregnancy alcohol consumption were similar. CONCLUSIONS We found evidence of an intrauterine effect for maternal smoking on offspring CHDs, but no evidence for higher maternal BMI or alcohol consumption. Our findings provide further support for why smoking cessation is important during pregnancy.
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Affiliation(s)
- Kurt Taylor
- Population Health Science, Bristol Medical School, Bristol BS8 2BN, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2PS, UK
| | - Ahmed Elhakeem
- Population Health Science, Bristol Medical School, Bristol BS8 2BN, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2PS, UK
| | - Johanna Lucia Thorbjørnsrud Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford BD9 6RJ, UK
| | - Elena Isaevska
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, Italy
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte, Turin, Italy
| | - Tanja Vrijkotte
- Amsterdam UMC, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam, the Netherlands
| | - Angela Pinot de Moira
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Denmark
| | - Deirdre M Murray
- The Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork, Cork, Ireland
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Daragh Finn
- The Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork, Cork, Ireland
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford BD9 6RJ, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford BD9 6RJ, UK
| | - Sam Oddie
- Centre for Reviews and Dissemination, University of York, Heslington, York, UK
| | - Nel Roeleveld
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen 6500 HB, The Netherlands
| | - Jennifer R Harris
- Division of Health Data and Digitalisation, and Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Massimo Caputo
- Translational Science, Bristol Medical School, Bristol BS2 8DZ, UK
- Bristol NIHR Biomedical Research Center, Bristol BS1 2NT, UK
| | - Deborah A. Lawlor
- Population Health Science, Bristol Medical School, Bristol BS8 2BN, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2PS, UK
- Bristol NIHR Biomedical Research Center, Bristol BS1 2NT, UK
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Beyond maternal education: Socio-economic inequalities in children's diet in the ABCD cohort. PLoS One 2020; 15:e0240423. [PMID: 33048970 PMCID: PMC7553270 DOI: 10.1371/journal.pone.0240423] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 09/27/2020] [Indexed: 11/26/2022] Open
Abstract
Objective We examined whether the role of maternal education in children’s unhealthy snacking diet is moderated by other socio-economic indicators. Methods Participants were selected from the Amsterdam Born Children and their Development cohort, a large ongoing community-based birth cohort. Validated Food Frequency Questionnaires (FFQ) (n = 2782) were filled in by mothers of children aged 5.7±0.5yrs. Based on these FFQs, a snacking dietary pattern was derived using Principal Component Analysis. Socio-economic indicators were: maternal and paternal education (low, middle, high; based on the highest education completed) household finance (low, high; based on ability to save money) and neighbourhood SES (composite score including educational level, household income and employment status of residents per postal code). Cross-sectional multivariable linear regression analysis was used to assess the association and possible moderation of maternal education and other socio-economic indicators on the snacking pattern score. Analyses were adjusted for children’s age, sex and ethnicity. Results Low maternal education (B 0.95, 95% CI 0.83;1.06), low paternal education (B 0.36, 95% CI 0.20;0.52), lower household finance (B 0.18, 95% CI 0.11;0.26) and neighbourhood SES (B -0.09, 95% CI -0.11;-0.06) were independently associated with higher snacking pattern scores (p<0.001). The association between maternal education and the snacking pattern score was somewhat moderated by household finance (p = 0.089) but remained strong. Children from middle-high educated mothers (B 0.44, 95% CI 0.35;0.52) had higher snacking pattern scores when household finance was low (B 0.49, 95% CI 0.33;0.65). Conclusions All socio-economic indicators were associated with increased risk of unhealthy dietary patterns in young children, with low maternal education conferring the highest risk. Yet, within the group of middle-high educated mothers, lower household finance was an extra risk factor for unhealthy dietary patterns. Intervention strategies should therefore focus on lower educated mothers and middle-high educated mothers with insufficient levels of household finance.
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Rademaker D, van Schaijik CI, Oostvogels AJJM, van Rijn BB, Evers I, DeVries JH, Agyemang C, Vrijkotte TGM, Painter RC. Gestational diabetes mellitus among Sub-Saharan African and Surinamese women in the Netherlands. Diabetes Res Clin Pract 2020; 168:108367. [PMID: 32791160 DOI: 10.1016/j.diabres.2020.108367] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 07/29/2020] [Accepted: 08/03/2020] [Indexed: 11/26/2022]
Abstract
AIM We assessed the association between ethnicity and the risk of gestational diabetes mellitus (GDM) in the Netherlands. METHODS A cohort of 7815 women with known GDM status and ethnicity, including women of Sub-Saharan African ethnicity who are currently not identified as high-risk in guidelines. We compared GDM rates among participants of ethnicity to those of ethnic Dutch participants. We employed multivariable regression to correct for possible confounders, including maternal age, pre-pregnancy body mass index (BMI), and education. GDM prevalence and odds ratios based on ethnicity were the main outcome measures. RESULTS The prevalence rates of GDM according to ethnicity were: Dutch 0.6%, South-Asian Surinamese 6.9%, African-Surinamese 3.5%, Antillean 1.0%, Turkish 1.0%, Moroccan 1.4%, Ghanaian 6.8%, Sub-Saharan African 3.5%, other Western 0.5% and other non-Western 2.8%. After adjustment for age, pre-pregnancy BMI, and education duration, compared with the reference Dutch-ethnicity population, adjusted odds ratios (aOR) for GDM were statistically significantly higher in South-Asian Surinamese (aOR 10.9; 95% Confidence Interval (CI), 4.7-25.0), African-Surinamese (4.3; 2.0-9.2), Ghanaian (6.5; 3.0-14.5), Sub-Saharan African (5.7; 2.0-16.0), and other non-Western women (4.5; 2.2-9.0). GDM was not significantly increased among Antillean (1.4; 0.2-10.3), Turkish (1.4; 0.4-4.2), Moroccan (1.8; 0.8-4.0), and other Western women (0.8; 0.3-2.2). CONCLUSIONS This study shows for the first time in the Netherlands that women of Ghanaian or other Sub-Saharan African ethnicity have an increased risk of developing GDM than the Dutch. This calls for adaptation of the Dutch guidelines of screening high-risk groups for GDM and more awareness amongst obstetric caregivers.
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Affiliation(s)
- D Rademaker
- Department of Obstetrics and Gynaecology, Amsterdam University Medical Centres, Amsterdam, the Netherlands.
| | - C I van Schaijik
- Department of Obstetrics and Gynaecology, Amsterdam University Medical Centres, Amsterdam, the Netherlands; Department of Public Health, Amsterdam University Medical Centres, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - A J J M Oostvogels
- Department of Public Health, Amsterdam University Medical Centres, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - B B van Rijn
- Department of Obstetrics and Fetal Medicine, Erasmus MC University Medical Centre, Rotterdam, the Netherlands
| | - I Evers
- Department of Obstetrics and Gynaecology, Meander Medical Centre, Amersfoort, the Netherlands
| | - J H DeVries
- Department of Endocrinology, Amsterdam University Medical Centres, Amsterdam, the Netherlands
| | - C Agyemang
- Department of Public Health, Amsterdam University Medical Centres, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - T G M Vrijkotte
- Department of Public Health, Amsterdam University Medical Centres, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - R C Painter
- Department of Obstetrics and Gynaecology, Amsterdam University Medical Centres, Amsterdam, the Netherlands
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van Gelder MMHJ, Merkus PJFM, van Drongelen J, Swarts JW, van de Belt TH, Roeleveld N. The PRIDE Study: Evaluation of online methods of data collection. Paediatr Perinat Epidemiol 2020; 34:484-494. [PMID: 31868970 PMCID: PMC7496449 DOI: 10.1111/ppe.12618] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 10/04/2019] [Accepted: 10/09/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Large birth cohort studies are extremely valuable in assessing associations between early life exposures and long-term outcomes. Establishing new birth cohorts is challenging due to declining participation rates. Online methods of data collection may increase feasibility, but have not been evaluated thoroughly. OBJECTIVE The primary objective of the ongoing PRegnancy and Infant DEvelopment (PRIDE) Study is to identify exposures during pregnancy and in early life that may affect short-term or long-term health of mother and/or child. In this manuscript, we aimed to evaluate methods of recruitment and online data collection applied. POPULATION Dutch women aged ≥18 years in early pregnancy. DESIGN Prospective cohort study. METHODS Initially, only prenatal care providers recruited participants, but alternative recruitment methods were added as a result of disappointing participation rates, including collaboration with "Moeders voor Moeders" (organisation that visits women in early pregnancy) and Facebook advertisements. Data on demographic characteristics, obstetric history, maternal health, life style factors, occupational exposures, nutrition, pregnancy complications, and infant outcomes are primarily collected through Web-based questionnaires at multiple time points during and after pregnancy. Additional data collection components include paternal questionnaires, blood and saliva sampling, and linkage to medical records. PRELIMINARY RESULTS By September 2019, 9573 women were included in the PRIDE Study, of which 1.3% completed paper-based questionnaires. Mean age of the women analysed was 30.6 years, 71.1% had a high level of education, 57.2% were primiparae, and mean gestational age at enrolment was 9.9 (range 3, 37) weeks, with slight differences between recruitment methods. Pregnancy outcome was known for 89.8%. Retention rate at 6 months after the estimated date of delivery was estimated at 70%. Multiple validation studies conducted within the PRIDE Study indicated high data quality. CONCLUSION(S) Although challenging and time-consuming, online methods for recruitment and data collection may enable the establishment of new birth cohort studies.
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Affiliation(s)
- Marleen M. H. J. van Gelder
- Department for Health EvidenceRadboud Institute for Health SciencesRadboud University Medical CenterNijmegenThe Netherlands,Radboud REshape Innovation CenterRadboud University Medical CenterNijmegenThe Netherlands
| | - Peter J. F. M. Merkus
- Department of Paediatric PulmonologyRadboudumc Amalia Children's HospitalRadboud University Medical CenterNijmegenThe Netherlands
| | - Joris van Drongelen
- Department of Obstetrics and GynaecologyRadboud University Medical CenterNijmegenThe Netherlands
| | - Jessie W. Swarts
- Department for Health EvidenceRadboud Institute for Health SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Tom H. van de Belt
- Radboud REshape Innovation CenterRadboud University Medical CenterNijmegenThe Netherlands,Radboud Institute for Health SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Nel Roeleveld
- Department for Health EvidenceRadboud Institute for Health SciencesRadboud University Medical CenterNijmegenThe Netherlands
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Witteveen AB, Henrichs J, Bellers M, van Oenen E, Verhoeven CJ, Vrijkotte TGM. Mediating role of C-reactive protein in associations between pre-pregnancy BMI and adverse maternal and neonatal outcomes: the ABCD-study cohort. J Matern Fetal Neonatal Med 2020; 35:2867-2875. [PMID: 32838637 DOI: 10.1080/14767058.2020.1807510] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVES Increased body mass index (BMI) is associated with several adverse pregnancy outcomes, though the underlying mechanism of this association has not been fully elucidated. A mediating role of low-grade systemic inflammation in these associations is suspected but has been understudied. Our objective was to examine the effect of pre-pregnancy BMI (pBMI) on maternal and neonatal pregnancy outcomes and to explore potential mediation of these effects by C-reactive protein (CRP), a first trimester peripheral marker of inflammation. METHODS Data from the prospective community-based ABCD-study cohort (n = 3547) was used to assess associations between self-reported continuous and categorized pBMI and outcome measures gestational hypertension (GH) and preeclampsia (PE), preterm birth (PTB) and small for gestational age (SGA) based on national perinatal registration linkage data. High-sensitivity CRP concentrations determined in serum were used to explore potential mediation of these associations by inflammation. RESULTS Multivariable logistic regression analyses, adjusted for confounders, showed that pBMI was significantly related to gestational hypertensive disorders (odds ratio (OR) per standard deviation (SD) 1.66, 95% confidence interval (CI) 1.51-1.83) and PTB (OR 1.20, 95% CI 1.05-1.37). Dose-response relationships between categorical pBMI and gestational hypertensive disorders (overweight OR 2.37, 95% CI 1.85-3.03 and obese OR 4.45, 95% CI 2.93-6.72) and PTB (obese OR 2.12, 95% CI 1.16-3.87) were found as well. SGA was only significantly more prevalent in the underweight BMI category (OR 2.06, 95% CI 1.33-3.19). Mediation analyses revealed small but significant indirect effects of pBMI on overall PTB (0.037, bootstrapped 95% CI 0.005-0.065) and spontaneous PTB (0.038, bootstrapped 95% CI 0.002-0.069) through higher CRP. CRP was not a significant mediator of associations between BMI and gestational hypertensive disorders although larger mediation was found for GH than for PE. CONCLUSION Our findings provide additional evidence that high(er) pBMI increases the risk of adverse maternal and neonatal outcomes and that systemic inflammation mediates some of these risks. Further research in large cohorts including (morbidly) obese women is warranted to identify pathways that may be incorporated in future interventions to reduce the risk of adverse pregnancy outcomes due to maternal obesity.
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Affiliation(s)
- Anke B Witteveen
- Department of Midwifery Science and AVAG, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.,AVAG Amsterdam Groningen Midwifery Academy, University of Applied Sciences Inholland, Amsterdam, The Netherlands
| | - Jens Henrichs
- Department of Midwifery Science and AVAG, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Mirthe Bellers
- AVAG Amsterdam Groningen Midwifery Academy, University of Applied Sciences Inholland, Amsterdam, The Netherlands
| | - Esmée van Oenen
- AVAG Amsterdam Groningen Midwifery Academy, University of Applied Sciences Inholland, Amsterdam, The Netherlands
| | - Corine J Verhoeven
- Department of Midwifery Science and AVAG, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.,Department of Obstetrics and Gynaecology, Maxima Medical Centre, Veldhoven, The Netherlands
| | - Tanja G M Vrijkotte
- Department of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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50
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Tong Q, Gong T, He H, Wang Z, Yu W, Zhang J, Zhai L, Cui H, Meng X, Tax CWM, Zhong J. A deep learning-based method for improving reliability of multicenter diffusion kurtosis imaging with varied acquisition protocols. Magn Reson Imaging 2020; 73:31-44. [PMID: 32822818 DOI: 10.1016/j.mri.2020.08.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 07/13/2020] [Accepted: 08/14/2020] [Indexed: 01/02/2023]
Abstract
Multicenter magnetic resonance imaging is gaining more popularity in large-sample projects. Since both varying hardware and software across different centers cause unavoidable data heterogeneity across centers, its impact on reliability in study outcomes has also drawn much attention recently. One fundamental issue arises in how to derive model parameters reliably from image data of varying quality. This issue is even more challenging for advanced diffusion methods such as diffusion kurtosis imaging (DKI). Recently, deep learning-based methods have been demonstrated with their potential for robust and efficient computation of diffusion-derived measures. Inspired by these approaches, the current study specifically designed a framework based on a three-dimensional hierarchical convolutional neural network, to jointly reconstruct and harmonize DKI measures from multicenter acquisition to reformulate these to a state-of-the-art hardware using data from traveling subjects. The results from the harmonized data acquired with different protocols show that: 1) the inter-scanner variation of DKI measures within white matter was reduced by 51.5% in mean kurtosis, 65.9% in axial kurtosis, 53.7% in radial kurtosis, and 61.5% in kurtosis fractional anisotropy, respectively; 2) data reliability of each single scanner was enhanced and brought to the level of the reference scanner; and 3) the harmonization network was able to reconstruct reliable DKI values from high data variability. Overall the results demonstrate the feasibility of the proposed deep learning-based method for DKI harmonization and help to simplify the protocol setup procedure for multicenter scanners with different hardware and software configurations.
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Affiliation(s)
- Qiqi Tong
- Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang, China; Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, Zhejiang, China.
| | - Ting Gong
- Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Hongjian He
- Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Zheng Wang
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China.
| | - Wenwen Yu
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China.
| | - Jianjun Zhang
- Department of Radiology, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Lihao Zhai
- Department of Radiology, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Hongsheng Cui
- Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China
| | - Xin Meng
- Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang, China
| | - Chantal W M Tax
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom.
| | - Jianhui Zhong
- Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang, China; Department of Imaging Sciences, University of Rochester, Rochester, NY, USA.
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