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Maslin K, Ameye L, Vancoppenolle D, Rochtus A, Van Uytsel H, Shawe J, Devlieger R, Bogaerts A. Interpregnancy maternal weight change is not associated with offspring weight and obesity at age 2 years. Int J Obes (Lond) 2024; 48:1402-1413. [PMID: 38872055 PMCID: PMC11420072 DOI: 10.1038/s41366-024-01554-y] [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: 01/14/2024] [Revised: 05/20/2024] [Accepted: 05/23/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Weight retention between pregnancies is associated with increased risk of perinatal complications, but it is unclear whether there is an association with offspring weight status. This study aimed to determine whether maternal interpregnancy weight change is associated with offspring overweight/obesity, controlling for confounding variables. SUBJECTS/METHODS Routinely collected linked data from perinatal and child datasets, in Flanders, Belgium were used. Women having their first and second live births between 2009-2018 were included. The association between maternal interpregnancy weight change and overweight/obesity in the second child at 2 years was examined by logistical regression models. RESULTS A total of 33,172 women were included. 52.7% (n = 17478) had a stable interpregnancy BMI, 24.1% (n = 8024) and 8.5% (n = 2821) had moderate and substantial BMI increases respectively. At 2 years, 91.6% (n = 30383) of the second offspring had a healthy weight, 0.6% (n = 210), 7.0% (n = 2312) and 0.8% (n = 267) were in the underweight, overweight and obesity BMI categories respectively. Multivariate analysis showed no statistical evidence that maternal interpregnancy BMI change is independently associated with overweight/obesity in the second child. The strongest independent factors were the first child (sibling) being in the obesity category at 2 years (odds ratio [OR] 7.2, [95% CI, 5.49-9.45] and being born Large for Gestational Age (LGA) (2.13 [1.92-2.37]). The following variables were also independently associated with the outcome measure: maternal African origin (1.90 [1.59-2.26]), maternal obesity at start of first pregnancy (1.33 [1.16-1.53]), excessive gestational weight gain in the second pregnancy (1.15 [1.04-1.28]), being born after a < 1-year interpregnancy time interval (1.17 [1.05-1.30]) and not being exclusively breastfed at 12 weeks old (1.29 [1.10-1.52]). CONCLUSION Sibling obesity and being born LGA were most strongly independently associated with overweight/obesity at 2 years. This supports the need for family interventions and to address risk factors for development of LGA infants. There was no independent association with interpregnancy weight gain, contrary to what was hypothesised.
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Affiliation(s)
- Kate Maslin
- School of Nursing and Midwifery, Faculty of Health, University of Plymouth, Devon, UK.
| | - Lieveke Ameye
- REALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, 3000, Leuven, Belgium
| | | | - Anne Rochtus
- School of Nursing and Midwifery, Faculty of Health, University of Plymouth, Devon, UK
- Department of Pediatrics, University Hospital Leuven, 3000, Leuven, Belgium
| | - Hanne Van Uytsel
- REALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, 3000, Leuven, Belgium
| | - Jill Shawe
- School of Nursing and Midwifery, Faculty of Health, University of Plymouth, Devon, UK
- Royal Cornwall Hospital NHS Trust, Truro, Cornwall, UK
| | - Roland Devlieger
- REALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, 3000, Leuven, Belgium
- Department of Obstetrics and Gynecology, University Hospital Leuven, 3000, Leuven, Belgium
- Department of Obstetrics and Gynecology, GZA Hospitals Sint-Augustinus, 2610, Antwerp, Belgium
| | - Annick Bogaerts
- School of Nursing and Midwifery, Faculty of Health, University of Plymouth, Devon, UK
- REALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, 3000, Leuven, Belgium
- L-C&Y KU Leuven Child & Youth Institute, 3000, Leuven, Belgium
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James S, Moulton JE, Assifi A, Botfield J, Black K, Hanson M, Mazza D. Women's needs for lifestyle risk reduction engagement during the interconception period: a scoping review. BMJ SEXUAL & REPRODUCTIVE HEALTH 2023; 49:274-281. [PMID: 36849222 DOI: 10.1136/bmjsrh-2022-201699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Unhealthy lifestyle is responsible for many chronic conditions, and antenatal engagement with women about lifestyle behaviours can be too late to prevent some adverse pregnancy outcomes and subsequent childhood risks. To reduce the risk of future adverse outcomes, the interconception period is an opportunity to implement positive health changes. The aim of this scoping review was to explore women's needs for lifestyle risk reduction engagement during the interconception period. METHODS The JBI methodology guided our scoping review. Six databases were searched for peer-reviewed, English-language research papers published between 2010 and 2021 on topics including perceptions, attitudes, lifestyle, postpartum, preconception and interconception. Title-abstract and full text screening was independently undertaken by two authors. Included papers' reference lists were searched to find additional papers. The main concepts were then identified using a descriptive and tabular approach. RESULTS A total of 1734 papers were screened and 33 met our inclusion criteria. Most included papers (82%, n=27) reported on nutrition and/or physical activity. Papers identified interconception through postpartum and/or preconception. Women's self-management needs for lifestyle risk reduction engagement during interconception included: informational needs, managing competing priorities, physical and mental health, self-perception and motivation, access to services and professional support, and family and peer networks. CONCLUSIONS There is a range of challenges for women to engage in lifestyle risk reduction during interconception. To enable women's preferences for how lifestyle risk reduction activities can be enacted, issues including childcare, ongoing and tailored health professional support, domestic support, cost and health literacy need to be addressed.
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Affiliation(s)
- Sharon James
- SPHERE CRE, Department of General Practice, Monash University School of Public Health and Preventive Medicine, Melbourne, VIC, Australia
| | - Jessica E Moulton
- SPHERE CRE, Department of General Practice, Monash University School of Public Health and Preventive Medicine, Melbourne, VIC, Australia
| | - Anisa Assifi
- SPHERE CRE, Department of General Practice, Monash University School of Public Health and Preventive Medicine, Melbourne, VIC, Australia
| | - Jessica Botfield
- SPHERE CRE, Department of General Practice, Monash University School of Public Health and Preventive Medicine, Melbourne, VIC, Australia
| | - Kirsten Black
- SPHERE CRE, Department of General Practice, Monash University School of Public Health and Preventive Medicine, Melbourne, VIC, Australia
- Specialty of Obstetrics, Gynaecology and Neonatology, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Mark Hanson
- University of Southampton Faculty of Medicine Health and Life Sciences, Southampton, UK
| | - Danielle Mazza
- SPHERE CRE, Department of General Practice, Monash University School of Public Health and Preventive Medicine, Melbourne, VIC, Australia
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Carrilho TRB, Silva NDJ, Paixão ES, Falcão IR, Fiaccone RL, Rodrigues LC, Katikireddi SV, Leyland AH, Dundas R, Pearce A, Velasquez-Melendez G, Kac G, Silva RDCR, Barreto ML. Maternal and child nutrition programme of investigation within the 100 Million Brazilian Cohort: study protocol. BMJ Open 2023; 13:e073479. [PMID: 37673446 PMCID: PMC10496662 DOI: 10.1136/bmjopen-2023-073479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 08/18/2023] [Indexed: 09/08/2023] Open
Abstract
INTRODUCTION There is a limited understanding of the early nutrition and pregnancy determinants of short-term and long-term maternal and child health in ethnically diverse and socioeconomically vulnerable populations within low-income and middle-income countries. This investigation programme aims to: (1) describe maternal weight trajectories throughout the life course; (2) describe child weight, height and body mass index (BMI) trajectories; (3) create and validate models to predict childhood obesity at 5 years of age; (4) estimate the effects of prepregnancy BMI, gestational weight gain (GWG) and maternal weight trajectories on adverse maternal and neonatal outcomes and child growth trajectories; (5) estimate the effects of prepregnancy BMI, GWG, maternal weight and interpregnancy BMI changes on maternal and child outcomes in the subsequent pregnancy; and (6) estimate the effects of maternal food consumption and infant feeding practices on child nutritional status and growth trajectories. METHODS AND ANALYSIS Linked data from four different Brazilian databases will be used: the 100 Million Brazilian Cohort, the Live Births Information System, the Mortality Information System and the Food and Nutrition Surveillance System. To analyse trajectories, latent-growth, superimposition by translation and rotation and broken stick models will be used. To create prediction models for childhood obesity, machine learning techniques will be applied. For the association between the selected exposure and outcomes variables, generalised linear models will be considered. Directed acyclic graphs will be constructed to identify potential confounders for each analysis investigating potential causal relationships. ETHICS AND DISSEMINATION This protocol was approved by the Research Ethics Committees of the authors' institutions. The linkage will be carried out in a secure environment. After the linkage, the data will be de-identified, and pre-authorised researchers will access the data set via a virtual private network connection. Results will be reported in open-access journals and disseminated to policymakers and the broader public.
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Affiliation(s)
- Thais Rangel Bousquet Carrilho
- Nutritional Epidemiology Observatory, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Natanael de Jesus Silva
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Barcelona Institute for Global Health, Hospital Clínic, University of Barcelona, Barcelona, Catalunya, Spain
| | - Enny Santos Paixão
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, London, UK
| | - Ila Rocha Falcão
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- School of Nutrition, Federal University of Bahia, Salvador, BA, Brazil
| | - Rosemeire Leovigildo Fiaccone
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Institute of Mathematics and Statistics, Federal University of Bahia, Salvador, BA, Brazil
| | - Laura Cunha Rodrigues
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, London, UK
| | | | - Alastair H Leyland
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK
| | - Ruth Dundas
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK
| | - Anna Pearce
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK
| | - Gustavo Velasquez-Melendez
- Department of Maternal and Child Nursing and Public Health, Nursing School, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Gilberto Kac
- Nutritional Epidemiology Observatory, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Rita de Cássia Ribeiro Silva
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- School of Nutrition, Federal University of Bahia, Salvador, BA, Brazil
| | - Mauricio L Barreto
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Institute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil
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Zhang HZ, Wang DS, Wu SH, Huang GF, Chen DH, Ma HM, Zhang YT, Guo LH, Lin LZ, Gui ZH, Liu RQ, Hu LW, Yang JW, Zhang WJ, Dong GH. The association between childhood adiposity in northeast China and anthropogenic heat flux: A new insight into the comprehensive impact of human activities. Int J Hyg Environ Health 2023; 254:114258. [PMID: 37703624 DOI: 10.1016/j.ijheh.2023.114258] [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: 06/12/2023] [Revised: 08/13/2023] [Accepted: 09/06/2023] [Indexed: 09/15/2023]
Abstract
Anthropogenic heat has been reported to have significant health impacts, but research on its association with childhood adiposity is still lacking. In this study, we matched the 2008-2012 average anthropogenic heat flux, as simulated by a grid estimation model using inventory methods, with questionnaire and measurement data of 49,938 children randomly recruited from seven cities in Northeast China in 2012. After adjusting for social demographic and behavioral factors, we used generalized linear mixed-effect models to assess the association between anthropogenic heat flux and adiposity among children. We also examined the effect modification of various social demographic and behavioral confounders. We found that each 10 W/m2 increase in total anthropogenic heat flux and that from the industry source was associated with an increase of 5.82% (95% CI = 0.84%-11.05%) and 6.62% (95% CI = 0.87%-12.70%) in the odds of childhood adiposity. Similarly, the excess rate of adiposity among children were 5.26% (95% CI = -1.33%-12.29%) and 8.51% (95% CI = 2.24%-15.17%) per 1 W/m2 increase in the anthropogenic heat flux from transportation and buildings, and was 7.94% (95% CI = 2.28%-13.91%) per 0.001 W/m2 increase in the anthropogenic heat flux from human metabolism. We also found generally greater effect estimates among female children and children who were exposed to passive smoking during pregnancy, born by caesarean section, non-breastfed/mixed-fed, or lived within 20 m adjacent to the main road. The potential deleterious effect of anthropogenic heat exposure on adiposity among children may make it a new but major threat to be targeted by future mitigation strategies.
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Affiliation(s)
- Hong-Zhi Zhang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Dao-Sen Wang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Si-Han Wu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Guo-Feng Huang
- Department of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Duo-Hong Chen
- Department of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Hui-Min Ma
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Yun-Ting Zhang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Li-Hao Guo
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Li-Zi Lin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhao-Huan Gui
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ru-Qing Liu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Li-Wen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jie-Wen Yang
- Guangzhou Social Welfare Institution, Guangzhou, 510520, China.
| | - Wang-Jian Zhang
- Department of Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Primary Care-Based Cardiovascular Disease Risk Management After Adverse Pregnancy Outcomes: a Narrative Review. J Gen Intern Med 2022; 37:912-921. [PMID: 34993867 PMCID: PMC8734553 DOI: 10.1007/s11606-021-07149-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/08/2021] [Indexed: 12/20/2022]
Abstract
Several common adverse pregnancy outcomes can reveal subclinical or latent cardiovascular disease (CVD) risk, transiently exposed through the physiologic stress of pregnancy. The year after pregnancy may be a singular opportunity to identify and initiate treatment for CVD risk, even before the onset of traditional CVD risk factors. However, clinical guidance regarding CVD risk management after adverse pregnancy outcomes is lacking. We therefore conducted a systematic review of US clinical practice guidelines and professional society recommendations to inform primary care-based CVD risk management after adverse pregnancy outcomes. We identified 13 relevant publications. While most recommendations were based on limited or weak evidence, we identified several areas of consensus. First, individuals with an adverse pregnancy outcome associated with future CVD are likely to benefit from CVD risk assessment-accompanied by education, counseling, and support for lifestyle modification-beginning within the first postpartum year. Second, among clinicians, clear and consistent documentation about adverse pregnancy outcomes and recommended follow-up is important to coordinate care after pregnancy. In addition, patients need to be informed about their pregnancy complications and associated CVD risks, so that they can make informed health care and lifestyle decisions. Finally, in general, CVD prevention in the year after an adverse pregnancy outcome focuses on lifestyle modification, reserving pharmacotherapy for the highest-risk patients and those with traditional CVD risk factors. While postpartum lifestyle interventions show promise for reducing CVD risk after adverse pregnancy outcomes, continued research to determine the optimal content, timing, and long-term effects of such interventions is needed.
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Katagiri A, Nawa N, Fujiwara T. Association Between Length of Only-Child Period During Early Childhood and Overweight at Age 8-A Population-Based Longitudinal Study in Japan. Front Pediatr 2022; 10:782940. [PMID: 35774097 PMCID: PMC9237356 DOI: 10.3389/fped.2022.782940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Prior studies have shown that children who are the only child are more likely to be overweight compared to their peers with siblings, regardless of whether they are the oldest, in the middle, or youngest. The study objective was to clarify whether there is an association between the length of the only-child period and the risk of overweight in firstborns who experienced an only-child period during early childhood before their siblings were born. METHODS A total of 7,576 first-born boys and 7,229 first-born girls were examined from a nationwide longitudinal survey in Japan. The length of the only-child period was determined by "birth interval"; i.e., the interval between the birth of the index child and the birth of the second child. It was categorized as short (<1.5 years), moderate (between 1.5 and 4 years), long (between 4 and 8 years), and only-child (the second baby was not born for 8 years). Overweight was defined as body mass index (BMI) z-score 1 standard deviation or more at age 8. Logistic regression was used to examine the association between length of only-child period and childhood overweight, adjusting for covariates. RESULTS Moderate birth interval was inversely associated with being overweight in comparison with only-child in both boys (odds ratio (OR): 0.83, 95% CI, 0.72-0.96) and girls (OR: 0.75, 95% CI, 0.63-0.88). Long birth interval also showed inverse association in boys (OR: 0.78, 95% CI, 0.62-0.97), and marginal inverse association in girls (OR: 0.80, 95% CI, 0.62-1.04). CONCLUSION First-born children who experienced short birth intervals did not show a different overweight risk from only-child. First-born children who experienced 1.5-8 years of the birth interval had a lower risk of childhood overweight compared with only-child.
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Affiliation(s)
- Aomi Katagiri
- Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan
| | - Nobutoshi Nawa
- Department of Medical Education Research and Development, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takeo Fujiwara
- Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan
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Pregestational BMI and higher offspring's risk of overweight/obesity in smoker and non-smoker mothers. Public Health Nutr 2020; 24:4204-4211. [PMID: 33336642 DOI: 10.1017/s1368980020005194] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
OBJECTIVE To assess the association between pregestational BMI and offspring's risk of overweight/obesity after accounting for the most important confounders, especially maternal smoking habit. DESIGN Prospective cohort study. SETTING The Seguimiento Universidad de Navarra (SUN) study is a prospective cohort of Spanish graduates with more than 22 000 participants nationwide. Recruitment started in 1999, and it is permanently open. Data on diet, lifestyle and clinical diagnoses are collected at baseline and every 2 years. PARTICIPANTS Women from the SUN cohort who reported at least one pregnancy during follow-up (n 3496) were invited to this study. Among them, 1527 agreed to participate and completed an additional more detailed online questionnaire on their pregnancy history and their offspring's nutritional status. RESULTS After excluding 165 children, we analysed data of 2791 participants born to 1485 mothers and observed that each 5 kg/m2 increase in pregestational BMI was associated with a 0·22 (95 % CI 0·15, 0·29) higher z-score in offspring's BMI and higher risk of overweight/obesity (multivariable-adjusted relative risk (RR) 1·57 (95 % CI 1·39, 1·77)) in childhood or adolescence. Furthermore, we observed stronger association in children born to smoker mothers (RR 1·91; 95 % CI 1·48, 2·46) than from non-smoker mothers (RR 1·51; 95 % CI 1·31, 1·73) (Pfor interaction = 0·02). CONCLUSIONS We found a synergistic interaction between pregestational BMI and maternal smoking habit on offspring's z-score of the BMI and in their risk of overweight/obesity. Although further research is needed to analyse dose-response relationships, these findings reinforce the importance of promoting healthy lifestyles in pregnant women in order to prevent childhood obesity.
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