1
|
Bjørke-Monsen AL, Holstad K, Huber S, Averina M, Bolann B, Brox J. PFAS exposure is associated with an unfavourable metabolic profile in infants six months of age. ENVIRONMENT INTERNATIONAL 2024; 193:109121. [PMID: 39515038 DOI: 10.1016/j.envint.2024.109121] [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: 07/08/2024] [Revised: 10/29/2024] [Accepted: 10/31/2024] [Indexed: 11/16/2024]
Abstract
Exposure to perfluoroalkyl substances (PFAS) are reported to have numerous negative health effects and children are especially vulnerable. The aim of this study was to investigate whether maternal and infant PFAS burden have any impact on prenatal and postnatal growth, liver and lipid parameters in infants at age six months. Data on diet and growth parameters, as well as blood samples were collected from healthy pregnant women in week 18 and in the women and their infants at six months postpartum. The blood samples were analysed for liver enzymes, blood lipids and PFAS. Maternal perfluoroalkyl carboxylic acids (PFCA) and fish for dinner ≥ 3 days per week in pregnancy week 18 were associated with reduced birth weight and increased percent weight gain the first six months of life. Infant PFCA concentrations were positively associated with serum alanine aminotransferase and total- and LDL-cholesterol concentrations at six months of age. Our data demonstrate that prenatal and postnatal PFAS exposure are associated with an unfavourable metabolic profile at a very young age. This pattern is concerning as it may be linked to early conditioning of later metabolic disease. It is vital to reduce PFAS exposure in women of fertile age in order to prevent development of metabolic disease in the next generation.
Collapse
Affiliation(s)
- Anne-Lise Bjørke-Monsen
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway; Laboratory of Medical Biochemistry, Innlandet Hospital Trust, Lillehammer, Norway; Laboratory of Medical Biochemistry, Førde Hospital Trust, Førde, Norway.
| | - Kristin Holstad
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Sandra Huber
- Department of Laboratory Medicine, University Hospital of North Norway, Tromsø, Norway
| | - Maria Averina
- Department of Laboratory Medicine, University Hospital of North Norway, Tromsø, Norway; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bjørn Bolann
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Jan Brox
- Department of Laboratory Medicine, University Hospital of North Norway, Tromsø, Norway
| |
Collapse
|
2
|
Dos Santos L, Cristino de Oliveira A, Marcondes Silva Lotz R, Manera F, Fernandes RC, Moreira Castilho B, Höfelmann DA. Trajectory Patterns of Weight and Length in Children: From Birth Until 2-Years of Age. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2024; 43:686-696. [PMID: 38990649 DOI: 10.1080/27697061.2024.2374412] [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: 01/19/2024] [Revised: 06/07/2024] [Accepted: 06/26/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVE The aim was to identify trajectory patterns of weight and length in children from birth until two years of life and establish associations with maternal and child characteristics. METHODS A mixed-cohort study was conducted in public health services in Colombo-PR, Brazil, between 2018 and 2022. Pregnancy information was gathered through anthropometric data collection and questionnaires. Birth data were extracted from birth record forms, while weight and length data in the first two years of life were obtained from physical and electronic health service records. Weight and length trajectory patterns were identified using a group-based trajectory model. The definition of the number of trajectory patterns to be selected considered the model fit to the type of variable, its practical utility, as well as the probabilities of group membership. RESULTS Two trajectory patterns of weight and length were identified among the children. The majority exhibited a pattern of weight (67.8%, n = 382) and length (90.9%, n = 472) considered high and stable, with a tendency to decelerate from one and a half years of age. The probability of belonging to the lower weight gain group was associated with female sex (41.5%, p < 0.001), smoking during pregnancy (48.7%, p = 0.008), prematurity (65.0%, p = 0.001), cesarean delivery (36.4%, p = 0.009), small for gestational age (69.0%, p < 0.001), and twinning (69.2%, p = 0.002). Similarly, the probability of belonging to the lower length gain group was associated with female sex (11.7%, p < 0.001), smoking during pregnancy (20.6%, p = 0.003), cesarean delivery (10.1%, p = 0.048), born small for gestational age (46.4%, p < 0.001), and twinning (46.1%, p < 0.001). CONCLUSION Conditions during pregnancy and childbirth can impact growth patterns in the first two years of life.
Collapse
Affiliation(s)
- Lais Dos Santos
- Post-Graduate Program of Public Health, Department of Public Health, Federal University of Paraná, Curitiba, Brazil
| | - Andressa Cristino de Oliveira
- Post-Graduate Program of Food and Nutrition, Department of Nutrition, Federal University of Paraná, Curitiba, Brazil
| | - Rafaela Marcondes Silva Lotz
- Post-Graduate Program of Food and Nutrition, Department of Nutrition, Federal University of Paraná, Curitiba, Brazil
| | - Fernanda Manera
- Post-Graduate Program of Food and Nutrition, Department of Nutrition, Federal University of Paraná, Curitiba, Brazil
| | - Renata Cordeiro Fernandes
- Post-Graduate Program of Food and Nutrition, Department of Nutrition, Federal University of Paraná, Curitiba, Brazil
| | - Barbara Moreira Castilho
- Post-Graduate Program of Food and Nutrition, Department of Nutrition, Federal University of Paraná, Curitiba, Brazil
| | - Doroteia Aparecida Höfelmann
- Post-Graduate Program of Public Health, Department of Public Health, Federal University of Paraná, Curitiba, Brazil
- Post-Graduate Program of Food and Nutrition, Department of Nutrition, Federal University of Paraná, Curitiba, Brazil
| |
Collapse
|
3
|
Fangupo L, Daniels L, Taylor R, Glover M, Taungapeau F, Sa'u S, Cutfield W, Taylor B. The care of infants with rapid weight gain: Should we be doing more? J Paediatr Child Health 2022; 58:2143-2149. [PMID: 36259748 PMCID: PMC10092129 DOI: 10.1111/jpc.16247] [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: 07/04/2022] [Revised: 09/27/2022] [Accepted: 10/02/2022] [Indexed: 11/28/2022]
Abstract
Rapid weight gain (RWG) during infancy is a known risk factor for later childhood obesity. It can be measured using a range of definitions across various time periods in the first 2 years of life. In recent years, some early childhood obesity prevention trials have included a focus on preventing RWG during infancy, with modest success. Overall, RWG during infancy remains common, yet little work has examined whether infants with this growth pattern should receive additional care when it is identified in health-care settings. In this viewpoint, we contend that RWG during infancy should be routinely screened for in health-care settings, and when identified, viewed as an opportunity for health-care professionals to instigate non-stigmatising discussions with families about RWG and general healthy practices for their infants. If families wish to engage, we suggest that six topics from early life obesity prevention studies (breastfeeding, formula feeding, complementary feeding, sleep, responsive parenting, and education around growth charts and monitoring) could form the foundations of conversations to help them establish and maintain healthy habits to support their infant's health and well-being and potentially lower the risk of later obesity. However, further work is needed to develop definitive guidelines in this area, and to address other gaps in the literature, such as the current lack of a standardised definition for RWG during infancy and a clear understanding of the time points over which it should be measured.
Collapse
Affiliation(s)
- Louise Fangupo
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Lisa Daniels
- Department of Medicine, University of Otago, Dunedin, New Zealand.,Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand
| | - Rachael Taylor
- Department of Medicine, University of Otago, Dunedin, New Zealand.,A Better Start National Science Challenge, University of Auckland, Auckland, New Zealand
| | - Marewa Glover
- Papaharakeke International Ltd, Auckland, New Zealand
| | | | | | - Wayne Cutfield
- A Better Start National Science Challenge, University of Auckland, Auckland, New Zealand.,The Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Barry Taylor
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.,A Better Start National Science Challenge, University of Auckland, Auckland, New Zealand
| |
Collapse
|
4
|
Robertson OC, Marceau K, Moding KJ, Knopik VS. Developmental pathways linking obesity risk and early puberty: The thrifty phenotype and fetal overnutrition hypotheses. DEVELOPMENTAL REVIEW 2022. [DOI: 10.1016/j.dr.2022.101048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
5
|
Maternal nicotine metabolism moderates the impact of maternal cigarette smoking on infant birth weight: A Collaborative Perinatal Project investigation. Drug Alcohol Depend 2022; 233:109358. [PMID: 35247723 PMCID: PMC8977115 DOI: 10.1016/j.drugalcdep.2022.109358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/11/2022] [Accepted: 02/12/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Maternal cigarette smoking is an important modifiable risk factor for low birth weight in the US. We investigated the maternal nicotine metabolite ratio (NMR; trans-3'-hydroxycotinine/cotinine) - a genetically-informed biomarker of nicotine clearance - as a moderator of links between prenatal cigarette use and birth weight. We also explored the role of race in these associations. METHODS Participants were 454 pregnant women (Mage = 25 years; 11% Black) who smoked cigarettes and their 537 infants from the Collaborative Perinatal Project. Cigarettes smoked per day were assessed at each prenatal visit; maternal NMR was assayed from third trimester serum. Birth weight was obtained from medical records. Generalized estimating equations were used to evaluate associations between cigarette smoking, NMR, race, and birth weight. RESULTS NMR moderated continuous associations between cigarettes per day over pregnancy and infant birth weight (p = .025). Among women who smoked at moderate levels (<15 cigarettes per day), those with slower NMR showed ~50-100 g decrements in birth weight versus those with faster NMR., while there were no significant associations between NMR and birth weight among women who smoked 15+ cigarettes per day. Although effects of NMR on birthweight were similar for Black and white women, Black women showed significantly slower NMR (p < .001). CONCLUSIONS This is the first demonstration that the maternal nicotine metabolism phenotype moderates associations between maternal smoking during pregnancy and birth weight. Infants of women with slower nicotine metabolism - including disproportionate representation of Black women - may be at heightened risk for morbidity from maternal smoking.
Collapse
|
6
|
Gualdrón LMV, Villalobos MMDD, Camargo NMB. Infant stimulation reduces weight loss and increases breastfeeding: a randomized controlled trial. INVESTIGACION Y EDUCACION EN ENFERMERIA 2022; 40:e05. [PMID: 35485618 PMCID: PMC9052720 DOI: 10.17533/udea.iee.v40n1e05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVES The study aimed to measure the effect of auditory, tactile, visual, and vestibular (ATVV) stimulation therapy on sucking effectiveness (SE), infant-feeding mode, weight, height, and head circumference (HC) of full-term infants. METHODS A single-blinded randomized trial with a sample of 107 mother-child dyads. Inclusion criteria were healthy first-time mothers and full-term infants with no known pathological conditions, weighing between 2500 and 4000 grams, and recommendation of exclusive or predominant breastfeeding. The mothers in the experimental group (EG) received training in ATVV stimulation therapy and provided it from birth (first 24 hours of life) until the end of the follow-ups at week 5. The control group (CG) received only standard care that included education on warning signs and basic guidance on breastfeeding. SE, infant-feeding mode, and neonatal growth were measured at weeks 2 and 5. RESULTS In contrast to CG infants, the EG infants drank 2.02 cc more human milk in one minute of effective breastfeeding (p=0.002) at week 2 and 5.51 cc more at week 5 (p<0.0001). They showed greater adherence to breastfeeding at week 5 (p=0.025) and gained more weight: 8.35 grams/day (p=0.009) and 4.19 grams/day (p=0.008). HC did not differ between groups, and height difference was statistically significant at week 5 (p=0.025). CONCLUSIONS ATVV stimulation therapy has a positive effect on neonatal health as it promotes effective sucking and exclusive breastfeeding, reduces weight loss, and improves neonatal growth.
Collapse
|
7
|
Roberge JB, Harnois-Leblanc S, McNealis V, van Hulst A, Barnett TA, Kakinami L, Paradis G, Henderson M. Body Mass Index Z Score vs Weight-for-Length Z Score in Infancy and Cardiometabolic Outcomes at Age 8-10 Years. J Pediatr 2021; 238:208-214.e2. [PMID: 34302856 DOI: 10.1016/j.jpeds.2021.07.046] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 07/13/2021] [Accepted: 07/16/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To confirm that World Health Organization weight-for-length z scores (zWFL) and World Health Organization body mass index z scores (zBMI) in infancy are associated with adiposity and cardiometabolic measures at 8-10 years old and to compare the predictive ability of the 2 methods. STUDY DESIGN zWFL and zBMI at 6, 12, and 18 months of age were computed using data extracted from health booklets, among participants in the Québec Adipose and Lifestyle InvesTigation in Youth prospective cohort (n = 464). Outcome measures at 8-10 years included adiposity, lipid profile, blood pressure, and insulin dynamics. The relationships between zWFL, zBMI, and each outcome were estimated using multivariable linear regression models. Outcome prediction at 8-10 years was compared between the 2 methods using eta-squared and the Lin concordance correlation coefficient. RESULTS zWFL and zBMI were associated with all measures of adiposity at 8-10 years. Associations with other cardiometabolic measures were less consistent. For both zWFL and zBMI across infancy, eta-squared were highly similar and the Lin coefficients were markedly high (≥0.991) for all outcomes. CONCLUSIONS There was no evidence that zBMI and zWFL in infancy differed in their ability to predict adiposity and cardiometabolic measures in childhood. This lends support to the sole use of zBMI for growth monitoring and screening of overweight and obesity from birth to 18 years. TRIAL REGISTRATION ClinicalTrials.gov: NCT03356262.
Collapse
Affiliation(s)
- Jean-Baptiste Roberge
- CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada; Department of Pediatrics, Faculty of Medicine, University of Montréal, Montréal, Canada
| | - Soren Harnois-Leblanc
- CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada; School of Public Health, University of Montréal, Montréal, Canada
| | - Vanessa McNealis
- CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada
| | | | - Tracie A Barnett
- CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada; Department of Family Medicine, McGill University, Montréal, Canada
| | - Lisa Kakinami
- Department of Mathematics and Statistics, McGill University, Montréal, Canada; PERFORM Centre, Concordia University, Montréal, Canada
| | - Gilles Paradis
- Department of Epidemiology, Biostatistics and Occupational Health, Montréal, Canada
| | - Mélanie Henderson
- CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada; Department of Pediatrics, Faculty of Medicine, University of Montréal, Montréal, Canada; School of Public Health, University of Montréal, Montréal, Canada.
| |
Collapse
|
8
|
Kato N, Sauvaget C, Yoshida H, Yokoyama T, Yoshiike N. Factors associated with birthweight decline in Japan (1980-2004). BMC Pregnancy Childbirth 2021; 21:337. [PMID: 33906616 PMCID: PMC8080357 DOI: 10.1186/s12884-021-03819-0] [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: 07/16/2020] [Accepted: 04/20/2021] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Birthweight has been declining consistently for more than 30 years in Japan. This rapid rise in low birthweight is one of the worst among the countries of the Organization for Economic Co-operation and Development. We examined potential determinants of birthweight decline in Japan. METHODS We used population-based birth certificate data from vital statistics records and retrieved 40,968,266 birth certificates of neonates born between 1980 and 2004. We analyzed time trends using linear regression analysis in examining whether the decline in birthweight could be explained by obstetrical variables such as gestational age and multiple gestations. RESULTS From 1980 to 2004, we observed a decline in mean birthweight with a yearly effect of - 8.07 g, which became steeper after 1985, persisted until 1999, and plateaued thereafter. After adjusting for gestational age, gender, birth order, multiple gestations, and fathers' age, the yearly effect between 1980 and 2004 persisted at - 5.13 g. CONCLUSION Recent decreases in birthweight among Japanese neonates were not fully explained by trends in gestational age, gender, birth order, multiple gestations, and fathers' age. Thus, additional factors such as pre-pregnancy maternal body mass index (BMI) and maternal diet should be considered. Reducing the rate of induced deliveries and improving the BMI or diet of young women should be a public health priority.
Collapse
Affiliation(s)
- Noriko Kato
- Department of Early Child Care and Education, Jumonji University, Niiza, Japan.
| | - Catherine Sauvaget
- Department of Epidemiology, National Institute of Public Health, Wako, Japan
| | - Honami Yoshida
- Center for Innovation Policy, Kanagawa University of Human Services, Yokosuka, Japan
| | - Tetsuji Yokoyama
- Department of Health Promotion, National Institute of Public Health, Wako, Japan
| | - Nobuo Yoshiike
- Department of Nutrition, Aomori University of Health and Welfare, Aomori, Japan
| |
Collapse
|
9
|
Lin Q, Jiang Y, Wang G, Sun W, Dong S, Deng Y, Meng M, Zhu Q, Mei H, Zhou Y, Zhang J, Clayton PE, Spruyt K, Jiang F. Combined effects of weight change trajectories and eating behaviors on childhood adiposity status: A birth cohort study. Appetite 2021; 162:105174. [PMID: 33636216 DOI: 10.1016/j.appet.2021.105174] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 02/14/2021] [Accepted: 02/15/2021] [Indexed: 01/06/2023]
Abstract
Previous studies have suggested that infant rapid weight change can be associated with an increased weight later in life. However, the weight change trajectory in early life over time and which childhood lifestyle behaviors may modify the risk of rapid weight change have not been characterized. Using our ongoing birth cohort study, we have addressed these issues. Nine follow-up time points (birth, 3, 6, 9, 12, 18, 24, 36, and 48 months) were used to calculate the change between two adjacent weight-for-age z-scores (WAZ-change), and then WAZ-change trajectories were defined via group-based trajectory modeling. The solitary, independent and combined effects of WAZ-change trajectories and each lifestyle factor (eating behaviors, physical activity, media exposure time and total sleep duration) on childhood adiposity measures at age 4 years were determined using multivariate regression analysis. Overall, 84 (38%) children had a steady growth trajectory from birth to 4 years, while the other 137 (62%) children had an early infancy rapid growth trajectory, particularly in the first three months. Compared to children with steady growth, children with early infancy rapid growth had a significantly higher body mass index, waist circumference, and subcutaneous fat. Moreover, weight change trajectory and three eating behaviors (i.e. food responsiveness, satiety responsiveness and food fussiness), not only had independent effects, but also combined (synergistic) effects on the majority of adiposity measures. Our results extend the current literature and provide a potentially valuable model to aid clinicians and health professionals in designing early-life interventions targeting specific populations, specific ages and specific lifestyle behaviors to prevent childhood overweight/obesity.
Collapse
Affiliation(s)
- Qingmin Lin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Yanrui Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Guanghai Wang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Wanqi Sun
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Shumei Dong
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Yujiao Deng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Min Meng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Qi Zhu
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Hao Mei
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, MS 39216, USA.
| | - Yingchun Zhou
- KLATASDS-MOE, School of Statistics, East China Normal University, Shanghai 200062, China.
| | - Jun Zhang
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University, Shanghai 200025, China.
| | - Peter E Clayton
- Division of Developmental Biology and Medicine, Faculty of Biology, Medicine and Health, University of Manchester and Manchester Academic Health Science Centre, Manchester M13 9PL, United Kingdom.
| | - Karen Spruyt
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; INSERM, University Claude Bernard, School of Medicine, Lyon, France.
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| |
Collapse
|
10
|
Liao XP, Yu Y, Marc I, Dubois L, Abdelouahab N, Bouchard L, Wu YT, Ouyang F, Huang HF, Fraser WD. Prenatal determinants of childhood obesity: a review of risk factors 1. Can J Physiol Pharmacol 2019; 97:147-154. [PMID: 30661367 DOI: 10.1139/cjpp-2018-0403] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Childhood obesity is a predictor of adult obesity and has its roots in the pre-pregnancy or pregnancy period. This review presents an overview of the prenatal risk factors for childhood obesity, which were categorized into 2 groups: biological risk factors (maternal pre-pregnancy body mass index, gestational weight gain, diabetes in pregnancy, and caesarean section), and environmental and behavioural risk factors (maternal smoking and exposure to obesogens, maternal dietary patterns, maternal intestinal microbiome and antibiotics exposure, and maternal psychosocial stress). Identifying modifiable predisposing prenatal factors for obesity will inform further development of inventions to prevent obesity over the life course, and future directions for research and intervention are discussed.
Collapse
Affiliation(s)
- Xiang-Peng Liao
- a Department of Pediatrics, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai, China.,b Centre de recherche de Centre Hospitalier Universitaire de Sherbrooke (CRCHUS) and Department of Obstetrics and Gynecology, Université de Sherbrooke, Quebec, QC J1H 5N4, Canada
| | - Yamei Yu
- c School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON K1G 5Z3, Canada
| | - Isabelle Marc
- d Centre Hospitalier Universitaire de Québec Research Centre and Department of Pediatrics, Faculty of Medicine, Université Laval, Quebec, QC G1V 4G2, Canada
| | - Lise Dubois
- c School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON K1G 5Z3, Canada
| | - Nadia Abdelouahab
- b Centre de recherche de Centre Hospitalier Universitaire de Sherbrooke (CRCHUS) and Department of Obstetrics and Gynecology, Université de Sherbrooke, Quebec, QC J1H 5N4, Canada
| | - Luigi Bouchard
- e Department of Medical Biology, CIUSSS-SLSJ, Université de Sherbrooke, Saguenay, QC G7H 7K9, Canada
| | - Yan-Ting Wu
- f International Peace Maternity & Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,g Institute of Embryo-Fetal Original Adult Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fengxiu Ouyang
- h Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital and Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Heng-Feng Huang
- f International Peace Maternity & Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,g Institute of Embryo-Fetal Original Adult Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - William D Fraser
- b Centre de recherche de Centre Hospitalier Universitaire de Sherbrooke (CRCHUS) and Department of Obstetrics and Gynecology, Université de Sherbrooke, Quebec, QC J1H 5N4, Canada
| |
Collapse
|
11
|
Koren A, Kahn-D'angelo L, Reece SM, Gore R. Examining Childhood Obesity From Infancy: The Relationship Between Tummy Time, Infant BMI-z, Weight Gain, and Motor Development-An Exploratory Study. J Pediatr Health Care 2019; 33:80-91. [PMID: 30131199 DOI: 10.1016/j.pedhc.2018.06.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 06/09/2018] [Accepted: 06/16/2018] [Indexed: 01/04/2023]
Abstract
INTRODUCTION This exploratory study investigated the infant time spent in tummy time (TT) in relation to body mass index z score (BMI-z), weight gain, and motor development in infants from birth to 4 months. METHOD Mothers and their infants were telephone surveyed at 2 and 4 months. Mother demographics; TT; feeding practices; and infant length, and height, and development were collected each time. RESULTS Results from Cochran-Mantel-Haenszel and single logistic regression showed a significant association between development, level of BMI-z, and time spent in TT at 2 months of age (p < .0001). The threshold model showed there was a decline in BMI-z at 4 months as daily time in TT increases past the threshold value of approximately 12 minutes per day. Mother education and TT at 2 months were significant predictors of BMI-z at 4 months. DISCUSSION Study outcomes suggest that infant positioning and time in TT promote infant motor development and may moderate rapid infant weight gain.
Collapse
Affiliation(s)
- Ainat Koren
- Ainat Koren, Associate Professor, Susan and Alan Solomont School of Nursing, Zuckerberg College of Health Sciences, University of Massachusetts, Lowell, Lowell, MA..
| | - Linda Kahn-D'angelo
- Linda Kahn-D'angelo, Professor, Department of Physiotherapy, Zuckerberg College of Health Sciences, University of Massachusetts, Lowell, Lowell, MA
| | - Susan M Reece
- Susan M. Reece, Professor Emeritus, Susan and Alan Solomont School of Nursing, Zuckerberg College of Health Sciences, University of Massachusetts, Lowell, Lowell, MA
| | - Rebecca Gore
- Rebecca Gore, Senior Biostatistician, School of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts, Lowell, Lowell, MA
| |
Collapse
|
12
|
Reducing fetal origins of childhood obesity through maternal smoking cessation during pregnancy: an intervention study. Int J Obes (Lond) 2018; 43:1435-1439. [PMID: 30518822 PMCID: PMC7328766 DOI: 10.1038/s41366-018-0267-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 09/09/2018] [Accepted: 10/28/2018] [Indexed: 11/24/2022]
Abstract
Rapid infant weight gain predicts childhood obesity. We aimed to estimate effect size and identify critical timing for intervention-assisted smoking cessation during pregnancy to impact infant weight gain. We followed 25 mother-infant dyads in the UB Pregnancy and Smoking Cessation Study (Buffalo, NY, USA). Maternal smoking status was biochemically verified and monitored through pregnancy. Birth weight and length were extracted from birth records. Research staff measured infant weight and length at 2 weeks and monthly from 1–12 months of age. Mixed models were used to fit infant BMI-for-age z-score (ZBMI) trajectories. We found infants of quitters had lower ZBMI gain from birth to 12 months (mean ± SD, 1.13 ± 1.16) than infants of persistent smokers (2.34 ± 1.40; p=0.035), with Cohen’s d effect size being large (0.96). The infant ZBMI gain from birth to 12 months was low (<0.47) if smoking cessation was initiated between 15 and 27 weeks of pregnancy, but started to increase if quitting at 28 weeks (0.65) and accelerated with time (e.g., 3.16 if quitting at 36 weeks). We concluded maternal smoking cessation during pregnancy may reduce fetal origins of obesity through reducing infant weight gain, especially if quitting smoking by 27 weeks of pregnancy.
Collapse
|
13
|
Meconium analysis as a promising diagnostic tool for monitoring fetal exposure to toxic substances: Recent trends and perspectives. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.09.025] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
|
14
|
Fujita Y, Kouda K, Nakamura H, Iki M. Relationship Between Maternal Pre-pregnancy Weight and Offspring Weight Strengthens as Children Develop: A Population-Based Retrospective Cohort Study. J Epidemiol 2018; 28:498-502. [PMID: 29806638 PMCID: PMC6242787 DOI: 10.2188/jea.je20170137] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background Maternal pre-pregnancy weight has been reported to be positively associated with offspring weight. The association between maternal weight and offspring weight might be explained by maternal lifestyle. We investigated the strength of the relationship between maternal body mass index (BMI) at the beginning of pregnancy and offspring BMI at several growth stages. Methods The source population was all eighth graders registered in all public schools in the city of Fukuroi, Japan, in 2012. Records of maternal anthropometry at the beginning of pregnancy were obtained from the Maternal and Child Health (MCH) Handbook. The height and body weight of each student were measured. A regression model was used to assess the association between maternal BMI z-score at the beginning of pregnancy and offspring BMI z-score at various ages. Results Of the source population, data from the MCH Handbook were obtained for 480 students. Among males, maternal BMI z-score was not associated with offspring BMI z-score at birth and at age 3 years but was associated with offspring BMI z-score at age 13 years (standardized regression coefficient (β) = 0.19; P < 0.01). Among females, maternal BMI z-score was associated with offspring BMI z-score at birth (β = 0.11; P < 0.05), at age 3 years (β = 0.22; P < 0.01) and at age 13 years (β = 0.51; P < 0.01). Conclusions Our results suggest that the positive association between maternal weight at the beginning of pregnancy and offspring weight around puberty is stronger than that between maternal weight and offspring weight at birth. Maternal lifestyle may influence offspring weight in adolescence.
Collapse
Affiliation(s)
- Yuki Fujita
- Department of Public Health, Kindai University Faculty of Medicine
| | - Katsuyasu Kouda
- Department of Public Health, Kindai University Faculty of Medicine
| | - Harunobu Nakamura
- Department of Health Promotion and Education, Graduate School of Human Development and Environment, Kobe University
| | - Masayuki Iki
- Department of Public Health, Kindai University Faculty of Medicine
| |
Collapse
|
15
|
Huang L, Wang Y, Zhang L, Zheng Z, Zhu T, Qu Y, Mu D. Maternal Smoking and Attention-Deficit/Hyperactivity Disorder in Offspring: A Meta-analysis. Pediatrics 2018; 141:peds.2017-2465. [PMID: 29288161 DOI: 10.1542/peds.2017-2465] [Citation(s) in RCA: 106] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/03/2017] [Indexed: 11/24/2022] Open
Abstract
CONTEXT Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in childhood. Exploring the risk factors for ADHD is helpful in preventing ADHD. OBJECTIVE To explore the association between maternal smoking during pregnancy and the occurrence of ADHD in offspring. DATA SOURCES PubMed, Embase, and Cochrane Library were searched from inception to May 2017 for studies. STUDY SELECTION Cohort or case-control studies in which the association between maternal smoking and ADHD in offspring were investigated were eligible if they included odds ratios (ORs), hazard ratios, or risk ratios and 95% confidence intervals (CIs). DATA EXTRACTION Two investigators independently extracted data on definition of exposure and outcome, number of cases and total sample population, and potential confounders adjusted. Any dose-relationship data for smoking and ADHD risk were also extracted. RESULTS Fifteen cohort studies and 5 case-control studies with 50 044 cases and 2 998 059 participants were included. Smoking during pregnancy increased the risk of offspring ADHD (OR: 1.60; 95% CI: 1.45-1.76). The risk of ADHD was greater for children whose mothers were heavy smokers (OR: 1.75; 95% CI: 1.51-2.02) than for those mothers were light smokers (OR: 1.54; 95% CI: 1.40-1.70). LIMITATIONS The limitations of our study included different assessment tools of ADHD and a lack of objective biological measures for maternal smoking. CONCLUSIONS With our meta-analysis, we provide evidence for an association between maternal smoking and offspring ADHD but do not solve the causality issues concerning potential confounding by other risk factors. More high-quality studies are needed to establish whether the association with smoking is causal.
Collapse
Affiliation(s)
- Lan Huang
- Department of Pediatrics, West China Second University Hospital and.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, China
| | - Yan Wang
- Department of Pediatrics, West China Second University Hospital and.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, China
| | - Li Zhang
- Department of Pediatrics, West China Second University Hospital and.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, China
| | - Zhen Zheng
- Department of Pediatrics, West China Second University Hospital and.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, China
| | - Tingting Zhu
- Department of Pediatrics, West China Second University Hospital and.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, China
| | - Yi Qu
- Department of Pediatrics, West China Second University Hospital and.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, China
| | - Dezhi Mu
- Department of Pediatrics, West China Second University Hospital and .,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, China
| |
Collapse
|