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Mardali F, Hosseini-Baharanchi FS, Dehnad A, Shidfar F, Mohammadi S, Găman MA. Comparison of the key modifiable factors in the first 1000 days predicting subsequent overweight and obesity in pre-school children in Tehran: a case-control study. Br J Nutr 2022; 128:955-963. [PMID: 34588008 DOI: 10.1017/s0007114521003937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The identification of paediatric obesity predictors in the early stages of life is warranted, as it can influence the development of effective strategies to prevent metabolic disorders. In this case-control study, we assessed nine risk factors for paediatric obesity, namely a birth weight > 4000 g, an exclusive breast-feeding period < 4 months, the introduction of solid food at < 4 months, maternal overweight or obesity before pregnancy, maternal smoking during pregnancy, the presence of gestational diabetes, paternal overweight and obesity and paternal smoking. In order to identify the most relevant predictors of paediatric obesity, we employed a multiple logistic regression model with R2 Cox Snell by adjusting confounders. In the randomly selected 509 preschool children from Tehran, children exposed to gestational diabetes had the maximum predicted probability of obesity (4·36 (1·94, 9·80) %) among the analysed risk factors %. The introduction of solid food at < 4 months of age increased the risk of obesity by 2·98 (1·77, 4·97 %). The OR of childhood obesity was associated with maternal overweight and obesity (2·72(1·60-4·60) %), maternal smoking (2·21 (1·18, 4·11) %) and excessive gestational weight gain (1·89 (1·23, 2·91) %). Paternal smoking and high birth weight increased the risk of paediatrics obesity > 1·8 times (1·15-2·94) and > 1·5 times (1·015-2·43), respectively. There was no association between the paternal BMI, the exclusive breast-feeding time and the risk of paediatric obesity. Among early risk factors, probably gestational diabetes can be considered as the most important predictor for the risk of paediatric obesity.
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Affiliation(s)
- Farzaneh Mardali
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh-Sadat Hosseini-Baharanchi
- Minimally Invasive Surgery Research Center & Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Afsaneh Dehnad
- School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Farzad Shidfar
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Saeed Mohammadi
- MS of Biostatistics, Student Research Committee, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mihnea-Alexandru Găman
- Faculty of Medicine, 'Carol Davila' University of Medicine and Pharmacy, Bucharest, Romania
- Department of Hematology, Center of Hematology and Bone Marrow Transplantation, Fundeni Clinical Institute, Bucharest, Romania
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2
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Bond TA, Richmond RC, Karhunen V, Cuellar-Partida G, Borges MC, Zuber V, Couto Alves A, Mason D, Yang TC, Gunter MJ, Dehghan A, Tzoulaki I, Sebert S, Evans DM, Lewin AM, O'Reilly PF, Lawlor DA, Järvelin MR. Exploring the causal effect of maternal pregnancy adiposity on offspring adiposity: Mendelian randomisation using polygenic risk scores. BMC Med 2022; 20:34. [PMID: 35101027 PMCID: PMC8805234 DOI: 10.1186/s12916-021-02216-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 12/13/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Greater maternal adiposity before or during pregnancy is associated with greater offspring adiposity throughout childhood, but the extent to which this is due to causal intrauterine or periconceptional mechanisms remains unclear. Here, we use Mendelian randomisation (MR) with polygenic risk scores (PRS) to investigate whether associations between maternal pre-/early pregnancy body mass index (BMI) and offspring adiposity from birth to adolescence are causal. METHODS We undertook confounder adjusted multivariable (MV) regression and MR using mother-offspring pairs from two UK cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC) and Born in Bradford (BiB). In ALSPAC and BiB, the outcomes were birthweight (BW; N = 9339) and BMI at age 1 and 4 years (N = 8659 to 7575). In ALSPAC only we investigated BMI at 10 and 15 years (N = 4476 to 4112) and dual-energy X-ray absorptiometry (DXA) determined fat mass index (FMI) from age 10-18 years (N = 2659 to 3855). We compared MR results from several PRS, calculated from maternal non-transmitted alleles at between 29 and 80,939 single nucleotide polymorphisms (SNPs). RESULTS MV and MR consistently showed a positive association between maternal BMI and BW, supporting a moderate causal effect. For adiposity at most older ages, although MV estimates indicated a strong positive association, MR estimates did not support a causal effect. For the PRS with few SNPs, MR estimates were statistically consistent with the null, but had wide confidence intervals so were often also statistically consistent with the MV estimates. In contrast, the largest PRS yielded MR estimates with narrower confidence intervals, providing strong evidence that the true causal effect on adolescent adiposity is smaller than the MV estimates (Pdifference = 0.001 for 15-year BMI). This suggests that the MV estimates are affected by residual confounding, therefore do not provide an accurate indication of the causal effect size. CONCLUSIONS Our results suggest that higher maternal pre-/early-pregnancy BMI is not a key driver of higher adiposity in the next generation. Thus, they support interventions that target the whole population for reducing overweight and obesity, rather than a specific focus on women of reproductive age.
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Affiliation(s)
- Tom A Bond
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia.
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Center for Life-course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
| | - Gabriel Cuellar-Partida
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia
- 23andMe, Inc., Sunnyvale, CA, USA
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Verena Zuber
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Alexessander Couto Alves
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Dan Mason
- Born in Bradford, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany C Yang
- Born in Bradford, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Marc J Gunter
- Section of Nutrition and Metabolism, IARC, Lyon, France
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Sylvain Sebert
- Center for Life-course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - David M Evans
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Alex M Lewin
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Paul F O'Reilly
- Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life-course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
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3
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Causative Mechanisms of Childhood and Adolescent Obesity Leading to Adult Cardiometabolic Disease: A Literature Review. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app112311565] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The past few decades have shown a worrisome increase in the prevalence of obesity and its related illnesses. This increasing burden has a noteworthy impact on overall worldwide mortality and morbidity, with significant economic implications as well. The same trend is apparent regarding pediatric obesity. This is a particularly concerning aspect when considering the well-established link between cardiovascular disease and obesity, and the fact that childhood obesity frequently leads to adult obesity. Moreover, most obese adults have a history of excess weight starting in childhood. In addition, given the cumulative character of both time and severity of exposure to obesity as a risk factor for associated diseases, the repercussions of obesity prevalence and related morbidity could be exponential in time. The purpose of this review is to outline key aspects regarding the current knowledge on childhood and adolescent obesity as a cardiometabolic risk factor, as well as the most common etiological pathways involved in the development of weight excess and associated cardiovascular and metabolic diseases.
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Badon SE, Quesenberry CP, Xu F, Avalos LA, Hedderson MM. Gestational weight gain, birthweight and early-childhood obesity: between- and within-family comparisons. Int J Epidemiol 2021; 49:1682-1690. [PMID: 32830276 DOI: 10.1093/ije/dyaa110] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Associations of excessive gestational weight gain (GWG) with greater birthweight and childhood obesity may be confounded by shared familial environment or genetics. Sibling comparisons can minimize variation in these confounders because siblings grow up in similar environments and share the same genetic predisposition for weight gain. METHODS We identified 96 289 women with live births in 2008-2014 at Kaiser Permanente Northern California. Fifteen percent of women (N = 14 417) had at least two births during the study period for sibling analyses. We assessed associations of GWG according to the Institute of Medicine (IOM) recommendations with birthweight and obesity at age 3 years, using conventional analyses comparing outcomes between mothers and sibling analyses comparing outcomes within mothers, which control for stable within-family unmeasured confounders such as familial environment and genetics. We used generalized estimating-equations and fixed-effects models. RESULTS In conventional analyses, GWG above the IOM recommendations was associated with 88% greater odds of large-for-gestational age birthweight [95% confidence interval (CI): 1.80, 1.97] and 30% greater odds of obesity at 3 years old (95% CI: 1.24, 1.37) compared with GWG within the IOM recommendations. In sibling analyses, GWG above the IOM recommendations was also associated with greater odds of large-for-gestational age [odds ratio (OR): 1.36; 95% CI: 1.20, 1.54], but was not associated with obesity at 3 years old (OR = 0.98; 95% CI: 0.84, 1.15). CONCLUSIONS GWG likely has a direct impact on birthweight; however, shared environmental and lifestyle factors within families may play a larger role in determining early-childhood weight status and obesity risk than GWG.
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Affiliation(s)
- Sylvia E Badon
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | | | - Fei Xu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Lyndsay A Avalos
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Monique M Hedderson
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
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Precision Nutrition and Childhood Obesity: A Scoping Review. Metabolites 2020; 10:metabo10060235. [PMID: 32521722 PMCID: PMC7345802 DOI: 10.3390/metabo10060235] [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: 04/18/2020] [Revised: 05/18/2020] [Accepted: 06/02/2020] [Indexed: 01/01/2023] Open
Abstract
Environmental exposures such as nutrition during life stages with high developmental plasticity—in particular, the in utero period, infancy, childhood, and puberty—may have long-lasting influences on risk of chronic diseases, including obesity-related conditions that manifest as early as childhood. Yet, specific mechanisms underlying these relationships remain unclear. Here, we consider the study of ‘omics mechanisms, including nutrigenomics, epigenetics/epigenomics, and metabolomics, within a life course epidemiological framework to accomplish three objectives. First, we carried out a scoping review of population-based literature with a focus on studies that include ‘omics analyses during three sensitive periods during early life: in utero, infancy, and childhood. We elected to conduct a scoping review because the application of multi-‘omics and/or precision nutrition in childhood obesity prevention and treatment is relatively recent, and identifying knowledge gaps can expedite future research. Second, concomitant with the literature review, we discuss the relevance and plausibility of biological mechanisms that may underlie early origins of childhood obesity identified by studies to date. Finally, we identify current research limitations and future opportunities for application of multi-‘omics in precision nutrition/health practice.
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Boone-Heinonen J, Biel FM, Marshall NE, Snowden JM. Maternal prepregnancy BMI and size at birth: race/ethnicity-stratified, within-family associations in over 500,000 siblings. Ann Epidemiol 2020; 46:49-56.e5. [PMID: 32448735 PMCID: PMC7315911 DOI: 10.1016/j.annepidem.2020.04.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 11/19/2019] [Accepted: 04/27/2020] [Indexed: 12/15/2022]
Abstract
PURPOSE To estimate racial/ethnic-stratified effects of maternal prepregnancy BMI on size for gestational age at birth, by comparing siblings within families. METHODS This study examined linked vital statistics and patient discharge data from 580,960 infants born to 278,770 women in the State of California (2007-2012). To control for family-level confounding, we used fixed effects multinomial regression, modeling size for gestational age (small [SGA], appropriate, large [LGA]) as a function of maternal BMI (underweight, normal weight, overweight, obesity class I, II, III) and time-varying covariates. We conducted overall and race/ethnicity-stratified (non-Hispanic white, black, Asian; Hispanic) analyses. For comparison, we fit analogous random effects models, which do not control for family-level confounding. RESULTS In fixed effects models, maternal BMI was most strongly associated with LGA in non-Hispanic white women, reaching 6.7 times greater for class III obesity (OR [95% CI]: 6.7 [5.1, 8.7]); and weakest in black women (OR [95% CI]: 3.0 [1.5, 5.7]). Associations with SGA were similar across race/ethnicity. Compared with random effects estimates, fixed effects were most attenuated for LGA associations among racial/ethnic minority women. CONCLUSIONS Maternal prepregnancy BMI was differentially associated with size for gestational age across racial/ethnic groups, with the strongest family-level confounding in racial/ethnic minority women.
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Affiliation(s)
| | - Frances M Biel
- Oregon Health & Science University, School of Public Health, Portland, OR
| | - Nicole E Marshall
- Oregon Health & Science University, Department of Obstetrics and Gynecology, Portland, OR
| | - Jonathan M Snowden
- Oregon Health & Science University, School of Public Health, Portland, OR; Oregon Health & Science University, Department of Obstetrics and Gynecology, Portland, OR
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7
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Bond TA, Karhunen V, Wielscher M, Auvinen J, Männikkö M, Keinänen-Kiukaanniemi S, Gunter MJ, Felix JF, Prokopenko I, Yang J, Visscher PM, Evans DM, Sebert S, Lewin A, O’Reilly PF, Lawlor DA, Jarvelin MR. Exploring the role of genetic confounding in the association between maternal and offspring body mass index: evidence from three birth cohorts. Int J Epidemiol 2020; 49:233-243. [PMID: 31074781 PMCID: PMC7245052 DOI: 10.1093/ije/dyz095] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Maternal pre-pregnancy body mass index (BMI) is positively associated with offspring birth weight (BW) and BMI in childhood and adulthood. Each of these associations could be due to causal intrauterine effects, or confounding (genetic or environmental), or some combination of these. Here we estimate the extent to which the association between maternal BMI and offspring body size is explained by offspring genotype, as a first step towards establishing the importance of genetic confounding. METHODS We examined the associations of maternal pre-pregnancy BMI with offspring BW and BMI at 1, 5, 10 and 15 years, in three European birth cohorts (n ≤11 498). Bivariate Genomic-relatedness-based Restricted Maximum Likelihood implemented in the GCTA software (GCTA-GREML) was used to estimate the extent to which phenotypic covariance was explained by offspring genotype as captured by common imputed single nucleotide polymorphisms (SNPs). We merged individual participant data from all cohorts, enabling calculation of pooled estimates. RESULTS Phenotypic covariance (equivalent here to Pearson's correlation coefficient) between maternal BMI and offspring phenotype was 0.15 [95% confidence interval (CI): 0.13, 0.17] for offspring BW, increasing to 0.29 (95% CI: 0.26, 0.31) for offspring 15 year BMI. Covariance explained by offspring genotype was negligible for BW [-0.04 (95% CI: -0.09, 0.01)], but increased to 0.12 (95% CI: 0.04, 0.21) at 15 years, which is equivalent to 43% (95% CI: 15%, 72%) of the phenotypic covariance. Sensitivity analyses using weight, BMI and ponderal index as the offspring phenotype at all ages showed similar results. CONCLUSIONS Offspring genotype explains a substantial fraction of the covariance between maternal BMI and offspring adolescent BMI. This is consistent with a potentially important role for genetic confounding as a driver of the maternal BMI-offspring BMI association.
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Affiliation(s)
- Tom A Bond
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Juha Auvinen
- Oulunkaari Health Center, Ii, Finland
- Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
- Center for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Minna Männikkö
- Northern Finland Birth Cohort, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Sirkka Keinänen-Kiukaanniemi
- Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
- Center for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Healthcare and Social Services of Selänne, Pyhäjärvi, Finland
| | - Marc J Gunter
- Section of Nutrition and Metabolism, IARC, Lyon, France
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Inga Prokopenko
- Section of Genomics of Common Disease, Department of Medicine, Imperial College London, London, UK
| | - Jian Yang
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Peter M Visscher
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - David M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Australia
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Sylvain Sebert
- Northern Finland Birth Cohort, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Alex Lewin
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Paul F O’Reilly
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- MRC Social, Genetic and Developmental Psychiatry Centre, King’s College London, London, UK
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, Bristol, UK
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Northern Finland Birth Cohort, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
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Perng W, Oken E, Dabelea D. Developmental overnutrition and obesity and type 2 diabetes in offspring. Diabetologia 2019; 62:1779-1788. [PMID: 31451868 DOI: 10.1007/s00125-019-4914-1] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/01/2019] [Indexed: 01/01/2023]
Abstract
Childhood obesity has reached pandemic proportions, and youth-onset type 2 diabetes is following suit. This review summarises the literature on the influence of developmental overnutrition, resulting from maternal diabetes, obesity, maternal dietary intake during pregnancy, excess gestational weight gain, and infant feeding practices, on the aetiology of obesity and type 2 diabetes risk during childhood and adolescence. Key goals of this review are: (1) to summarise evidence to date on consequences of developmental overnutrition; (2) describe shared and distinct biological pathways that may link developmental overnutrition to childhood obesity and youth-onset type 2 diabetes; and (3) to translate current knowledge into clinical and public health strategies that not only target primary prevention in youth, but also encourage primordial prevention during the perinatal period, with the aim of breaking the intergenerational cycle of obesity and diabetes.
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Affiliation(s)
- Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Center, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, 13001 East 17th Ave, Box B119, Room W3110, Aurora, CO, 80045, USA
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, 13001 East 17th Ave, Box B119, Room W3110, Aurora, CO, 80045, USA.
- Department of Pediatrics, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
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Larqué E, Labayen I, Flodmark CE, Lissau I, Czernin S, Moreno LA, Pietrobelli A, Widhalm K. From conception to infancy - early risk factors for childhood obesity. Nat Rev Endocrinol 2019; 15:456-478. [PMID: 31270440 DOI: 10.1038/s41574-019-0219-1] [Citation(s) in RCA: 107] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/10/2019] [Indexed: 12/25/2022]
Abstract
Maternal lifestyle during pregnancy, as well as early nutrition and the environment infants are raised in, are considered relevant factors for the prevention of childhood obesity. Several models are available for the prediction of childhood overweight and obesity, yet most have not been externally validated. Moreover, the factors considered in the models differ among studies as the outcomes manifest after birth and depend on maturation processes that vary between individuals. The current Review examines and interprets data on the early determinants of childhood obesity to provide relevant strategies for daily clinical work. We evaluate a selection of prenatal and postnatal factors associated with child adiposity. Actions to be considered for preventing childhood obesity include the promotion of healthy maternal nutrition and weight status at reproductive age and during pregnancy, as well as careful monitoring of infant growth to detect early excessive weight gain. Paediatricians and other health-care professionals should provide scientifically validated, individual nutritional advice to families to counteract excessive adiposity in children. Based on systematic reviews, original papers and scientific reports, we provide information to help with setting up public health strategies to prevent overweight and obesity in childhood.
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Affiliation(s)
- Elvira Larqué
- Department of Physiology, University of Murcia, Murcia, Spain
| | - Idoia Labayen
- Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD) and Department of Health Sciences, Public University of Navarra, Pamplona, Spain
| | - Carl-Erik Flodmark
- Childhood Obesity Unit, Department of Pediatrics, Skane University Hospital, Malmo, Sweden
- Department of Clinical Sciences, Faculty of Medicine, University of Lund, Lund, Sweden
| | - Inge Lissau
- Childhood Obesity Unit, Department of Pediatrics, Skane University Hospital, Malmo, Sweden
- Department of Clinical Sciences, Faculty of Medicine, University of Lund, Lund, Sweden
- Clinical Research Centre, University Hospital Copenhagen, Hvidovre, Denmark
| | - Sarah Czernin
- Deptartment of Pediatrics, Division of Nutrition and Metabolism and Austrian Academic institute for Clinical Nutrition, Vienna, Austria
| | - Luis A Moreno
- Growth, Exercise, Nutrition and Development Research Group, Universidad de Zaragoza, Zaragoza, Spain.
- Instituto Agroalimentario de Aragón (IA2) and Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Angelo Pietrobelli
- Department of Surgical Sciences, Dentistry, Gynecology and Pediatrics, University of Verona, Verona, Italy
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Kurt Widhalm
- Deptartment of Pediatrics, Division of Nutrition and Metabolism and Austrian Academic institute for Clinical Nutrition, Vienna, Austria
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Hawkins SS, Baum CF, Rifas-Shiman SL, Oken E, Taveras EM. Examining Associations between Perinatal and Postnatal Risk Factors for Childhood Obesity Using Sibling Comparisons. Child Obes 2019; 15:254-261. [PMID: 30883194 PMCID: PMC6622557 DOI: 10.1089/chi.2018.0335] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Background: One of the major criticisms of observational studies examining risk factors for childhood obesity is unmeasured confounding. We examined the associations between breastfeeding initiation, cesarean delivery, prenatal smoking, and gestational diabetes mellitus (GDM) with childhood obesity using both a traditional observational approach and a sibling-pair design with family fixed effects. Methods: We used data from the Linked the Collecting Electronic Nutrition Trajectory Data Using e-Records of Youth (CENTURY) Study, a clinical database created through the linkage of well-child visits with children's birth certificates, with obesity measured at 2 (N = 55,058) and 5 (N = 43,894) years of age. We conducted three sets of regression models: (1) full sample to examine the adjusted association between each risk factor and obesity with clustering by family; (2) rerun only among siblings with clustering by family; and (3) fixed effects analysis among siblings. Results: Across risk factors, 30%-39% of children had siblings. In the full sample, breastfeeding initiation was associated with a lower BMI z-score, while cesarean delivery and smoking during pregnancy were associated with a higher BMI z-score. Effect sizes were consistent in models with siblings only. However, in the fixed effects models, the coefficients attenuated and were no longer significant for each of these risk factors. We found no association between GDM and child BMI z-score in any of the models. Results were consistent for childhood obesity as a dichotomous measure and at 5 years of age. Conclusions: Our findings suggest that unmeasured genetic, environmental, and familial factors are likely confounding associations between breastfeeding, cesarean delivery, prenatal smoking, and GDM with childhood obesity in observational studies.
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Affiliation(s)
- Summer Sherburne Hawkins
- School of Social Work, Boston College, Chestnut Hill, MA.,Address correspondence to: Summer Sherburne Hawkins, PhD, MS, School of Social Work, Boston College, McGuinn Hall, 140 Commonwealth Avenue, Chestnut Hill, MA 02467
| | - Christopher F. Baum
- School of Social Work, Boston College, Chestnut Hill, MA.,Department of Economics, Boston College, Chestnut Hill, MA.,Department of Macroeconomics, German Institute for Economic Research (DIW Berlin), Berlin, Germany
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Elsie M. Taveras
- Division of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital for Children, Boston, MA
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11
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Hutcheon JA, Stephansson O, Cnattingius S, Bodnar LM, Johansson K. Is the Association Between Pregnancy Weight Gain and Fetal Size Causal?: A Re-examination Using a Sibling Comparison Design. Epidemiology 2019; 30:234-242. [PMID: 30516650 PMCID: PMC6369897 DOI: 10.1097/ede.0000000000000959] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 11/27/2018] [Indexed: 11/26/2022]
Abstract
BACKGROUND Observational cohort studies have consistently shown that maternal weight gain in pregnancy is positively associated with fetal size, but it is unknown whether the association is causal. This study investigated the effect of pregnancy weight gain on fetal growth using a sibling comparison design to control for unmeasured confounding by genetic and shared environmental factors. METHODS Our study population included 44,457 infants (21,680 women) with electronic medical records in the Stockholm-Gotland Obstetrical Database, 2008-2014. We standardized pregnancy weight gain into gestational age-specific z-scores. Fetal size was classified as birthweight (gram), and as small- and large-for-gestational-age birth (birthweight <10th or >90th percentiles, respectively). Our sibling comparison analyses used multivariable linear fixed effects models for birthweight and hybrid logistic fixed effects models for small- and large-for-gestational-age birth (SGA and LGA). We repeated analyses using conventional (unmatched) regression models. RESULTS Sibling comparison analyses showed a clinically meaningful association between weight gain and fetal size (e.g., adjusted difference of +89 g birthweight [95% CI = 82, 95 g]; adjusted risk ratios [aRR] for SGA of 0.80 [95% CI = 0.75, 0.86] per 1 z-score increase in weight gain for a woman of body mass index [BMI] = 25). These findings were consistent across the range of BMI. Estimates were only modestly attenuated compared with conventional approach (+97 g [95% CI = 92, 102 g], aRR for SGA of 0.70 [95% CI = 0.67, 0.73] per 1 z-score increase in weight gain). CONCLUSION The positive association between pregnancy weight gain and fetal size we found using a sibling comparison design suggests that this relation has minimal confounding by familial factors that remain constant between pregnancies.
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Affiliation(s)
- Jennifer A. Hutcheon
- From the Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, Canada
| | - Olof Stephansson
- Department of Medicine, Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden
- Division of Obstetrics and Gynecology, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Sven Cnattingius
- Department of Medicine, Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Lisa M. Bodnar
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Kari Johansson
- Department of Medicine, Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden
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12
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Liu J, Boghossian NS, Frongillo EA, Cai B, Hazlett LJ, Liu J. Associations of maternal gestational weight gain with the risk of offspring obesity and body mass index Z scores beyond the mean. Ann Epidemiol 2019; 32:64-71.e2. [PMID: 30799201 DOI: 10.1016/j.annepidem.2019.01.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 12/09/2018] [Accepted: 01/22/2019] [Indexed: 11/19/2022]
Abstract
PURPOSE We examined the association of meeting the 2009 Institute of Medicine gestational weight gain (GWG) guidelines with offspring obesity and body mass index Z score (BMIZ) at age six overall and by maternal weight status. METHODS Data were from the Infant Feeding Practices Survey II Study (2005-2007) and their Year Six Follow-Up Study (2012). Logistic regression and quantile regression models were used. RESULTS Eleven percent of children were obese. Children born to mothers who gained excessive weight during pregnancy had an increased risk of obesity as compared with those born to mothers who gained adequate weight (adjusted odds ratio: 1.67). The association was stronger among normal-weight mothers (adjusted odds ratio: 3.50). Inadequate GWG was not associated with offspring obesity overall or in subsamples by maternal prepregnancy BMI. Children born to mothers who gained excessive weight had higher BMIZ. This distributional association was more pronounced among normal-weight mothers. Children born to obese mothers who gained inadequate weight had lower BMIZ at some percentiles of the BMIZ distribution. CONCLUSIONS Excessive GWG was associated with increased risk of offspring obesity and higher BMIZ at age six, whereas inadequate GWG was protective of high BMIZ among children born to obese mothers.
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Affiliation(s)
- Junxiu Liu
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
| | - Nansi S Boghossian
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
| | - Edward A Frongillo
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia
| | - Bo Cai
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
| | - Linda J Hazlett
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
| | - Jihong Liu
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia.
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13
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Wang B, Liu J, Zhang Y, Yan C, Wang H, Jiang F, Li F, Zhang J. Prenatal Exposure to Antibiotics and Risk of Childhood Obesity in a Multicenter Cohort Study. Am J Epidemiol 2018; 187:2159-2167. [PMID: 29893794 DOI: 10.1093/aje/kwy122] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 06/05/2018] [Indexed: 12/19/2022] Open
Abstract
Mounting evidence has linked postnatal antibiotic use with body mass index (BMI) in children, but the influence of prenatal antibiotic use on offspring obesity risk remains unclear. We aimed to assess the association between fetal exposure to antibiotics and obesity at ages 4 and 7 years among 43,332 children using a multicenter prospective cohort of the US Collaborative Perinatal Project (1959-1976). Antibiotic use was ascertained for mothers during pregnancy. Modified Poisson regression models were used to estimate risk ratios for obesity (BMI >95th percentile), and linear mixed models were applied to assess the association with BMI z score. Repeated prenatal exposure to antibiotics was associated with childhood obesity at age 7 years, and risk of obesity tended to increase with an increasing number of antibiotic exposures (for 2-3 exposures, risk ratio (RR) = 1.22, 95% confidence interval (CI): 1.04, 1.44; for ≥4 exposures, RR = 1.34, 95% CI: 1.03, 1.73). The magnitude of association was strongest for repeated exposures in the second trimester (RR = 1.40, 95% CI: 1.16, 1.71). Prenatal antibiotic use was not associated with obesity or BMI z score at age 4 years. These findings support an increased risk of mid-childhood obesity with repeated use of antibiotics during pregnancy.
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Affiliation(s)
- Bin Wang
- Ministry of Education–Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jihong Liu
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina
| | - Yongjun Zhang
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chonghuai Yan
- Ministry of Education–Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fan Jiang
- Ministry of Education–Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fei Li
- Ministry of Education–Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Zhang
- Ministry of Education–Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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14
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Wan N, Cai L, Tan W, Zhang T, Yang J, Chen Y. Associations of gestational weight gain with offspring thinness and obesity: by prepregnancy body mass index. Reprod Health 2018; 15:149. [PMID: 30180902 PMCID: PMC6123984 DOI: 10.1186/s12978-018-0585-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 08/14/2018] [Indexed: 12/11/2022] Open
Abstract
Background Previous studies indicated that excessive gestational weight gain (GWG) was positively associated with offspring obesity. Nevertheless, little is known about the effect of GWG on offspring thinness. This study aimed to assess the association of GWG with childhood weight status across the full range of weight status by prepregnancy body mass index (BMI). Methods We used data from a retrospective study of 33,828 Chinese children aged 6–18 years and their mothers. Children’s weight and height were objectively measured. Maternal GWG and other information were collected by using self-reported questionnaires. Multivariate linear regressions and logistic regressions were applied. Results Overall, the prevalence of thinness and overweight/obesity in children were 12.9 and 17.3% respectively (p < 0.05). Children’s BMI z-score was on average 0.021 higher for every 1-kg greater GWG. For mothers who were underweight or normal weight before pregnancy, excessive GWG was positively associated with offspring overweight/obesity [OR (95% CI): 1.51 (1.21, 1.90) and 1.30 (1.17, 1.45)], whereas inadequate GWG was associated with increased risk of offspring thinness [OR (95% CI): 1.24 (1.05, 1.46) and 1.17 (1.04, 1.32)]. Similar but non-significant associations were found in prepregnancy overweight mothers. Notably, there was a very high prevalence of child overweight/obesity (30.2%) in prepregnancy overweight subgroup regardless of GWG status. Conclusions Inadequate GWG was associated with an increased risk of offspring thinness, whereas excessive GWG was associated with an increased risk of offspring overweight and obesity among prepregnancy underweight and normal weight mothers only.
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Affiliation(s)
- Nianqing Wan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510000, China
| | - Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510000, China
| | - Weiqing Tan
- Health Promotion Centre for Primary and Secondary Schools of Guangzhou Municipality, Guangzhou, 510000, China
| | - Ting Zhang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510000, China
| | - Jiewen Yang
- Health Promotion Centre for Primary and Secondary Schools of Guangzhou Municipality, Guangzhou, 510000, China.
| | - Yajun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510000, China.
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15
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Clarke MA, Joshu CE. Early Life Exposures and Adult Cancer Risk. Epidemiol Rev 2018; 39:11-27. [PMID: 28407101 DOI: 10.1093/epirev/mxx004] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Accepted: 01/19/2017] [Indexed: 12/14/2022] Open
Abstract
Very little is known about the influence of early life exposures on adult cancer risk. The purpose of this narrative review was to summarize the epidemiologic evidence relating early life tobacco use, obesity, diet, and physical activity to adult cancer risk; describe relevant theoretical frameworks and methodological strategies for studying early life exposures; and discuss policies and research initiatives focused on early life. Our findings suggest that in utero exposures may indirectly influence cancer risk by modifying biological pathways associated with carcinogenesis; however, more research is needed to firmly establish these associations. Initiation of exposures during childhood and adolescence may impact cancer risk by increasing duration and lifetime exposure to carcinogens and/or by acting during critical developmental periods. To expand the evidence base, we encourage the use of life course frameworks, causal inference methods such as Mendelian randomization, and statistical approaches such as group-based trajectory modeling in future studies. Further, we emphasize the need for objective exposure biomarkers and valid surrogate endpoints to reduce misclassification. With the exception of tobacco use, there is insufficient evidence to support the development of new cancer prevention policies; however, we highlight existing policies that may reduce the burden of these modifiable risk factors in early life.
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16
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Association of maternal gestational weight gain with their offspring's anthropometric outcomes at late infancy and 6 years old: mediating roles of birth weight and breastfeeding duration. Int J Obes (Lond) 2017; 42:8-14. [PMID: 28775373 DOI: 10.1038/ijo.2017.183] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Revised: 07/08/2017] [Accepted: 07/23/2017] [Indexed: 12/19/2022]
Abstract
BACKGROUND Longitudinal studies examining the potential mediating roles of birth weight and breastfeeding duration on the pathways between maternal gestational weight gain (GWG) and offspring anthropometric outcomes are lacking. METHODS We analyzed data from the mother-child pairs in the Infant Feeding Practices Study II (IFPS II) in late infancy (n=1548) and at the Year 6 Follow-up (n=1514) Study. Child anthropometrics included age- and sex-specific Z-scores for weight for age (WAZ), height /length for age, weight for height/length and body mass index (BMIZ). Structural equation models were used to estimate the total, direct and indirect effects of GWG on child anthropometrics through birth weight and breastfeeding duration. RESULTS The total effect of GWG on offspring anthropometric outcomes was significant for WAZ (β=0.107, 95% confidence interval (CI): 0.052, 0.161) at late infancy and for WAZ (β=0.122, 95% CI: 0.066, 0.177) and BMIZ (β=0.120, 95% CI: 0.063, 0.178) at 6 years old. The direct effects of GWG on offspring's WAZ and BMIZ were observed only at 6 years old. The indirect effects of GWG through birth weight were significant on most of the offspring's anthropometric measures. Compared to breastfeeding duration, birth weight was a stronger mediator on the pathways between GWG and all proposed anthropometric measures both in late infancy and in early childhood. Longer duration of breastfeeding was inversely associated with all offspring anthropometric outcomes at late infancy but not with those outcomes at 6 years old. CONCLUSIONS Our findings suggest a stronger indirect rather than direct effect of GWG on children's anthropometric outcomes mainly through birth weight, independent of maternal sociodemographic and reproductive factors. Longer duration of breastfeeding might suppress the positive relationship between GWG, birth weight and anthropometric outcomes in late infancy but not among 6 years old.
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17
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Ester WA, Houghton LC, Lumey LH, Michels KB, Hoek HW, Wei Y, Susser ES, Cohn BA, Terry MB. Maternal and Early Childhood Determinants of Women's Body Size in Midlife: Overall Cohort and Sibling Analyses. Am J Epidemiol 2017; 185:385-394. [PMID: 28200097 PMCID: PMC5391711 DOI: 10.1093/aje/kww222] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 05/18/2016] [Indexed: 12/12/2022] Open
Abstract
Observational evidence suggests that adult body size has its roots earlier in life, yet few life-course studies have data on siblings with which to control for family-level confounding. Using prospective data from the Early Determinants of Mammographic Density Study (n = 1,108; 1959-2008), we examined the association of maternal prepregnancy body mass index (BMI; weight (kg)/height (m)2), gestational weight gain (GWG), birth size, and childhood growth factors with adult BMI in daughters at midlife using quantile, linear, and logistic regression models. We compared overall cohort findings (n = 1,108) with sibling differences (n = 246 sibling sets). Results derived by all 3 regression methods supported positive and independent associations of prepregnancy BMI, GWG, and percentile change in early childhood growth with BMI in daughters at midlife. Sibling analyses demonstrated that higher GWG was independently related to a higher adult BMI in daughters, particularly for the highest 90th quantile of adult BMI (β = 0.64 (standard error, 0.26) BMI units). Greater increases in weight percentiles between 1 and 4 years of age within siblings were also associated with higher adult BMI in the 75th quantile (β = 0.06 (standard error, 0.03) kg). Thus, even after consideration of the role of family-level fixed effects, maternal GWG and childhood weight gain are associated with adult body size in midlife.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mary Beth Terry
- Correspondence to Dr. Mary Beth Terry, Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032 (e-mail: )
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18
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Li A, Teo KK, Morrison KM, McDonald SD, Atkinson SA, Anand SS, Meyre D. A genetic link between prepregnancy body mass index, postpartum weight retention, and offspring weight in early childhood. Obesity (Silver Spring) 2017; 25:236-243. [PMID: 27883278 DOI: 10.1002/oby.21707] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 08/22/2016] [Accepted: 09/09/2016] [Indexed: 02/04/2023]
Abstract
OBJECTIVE The effects of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) on maternal and offspring obesity traits, as well as the maternal and offspring genetic contribution to GWG and postpartum weight retention, were examined. METHODS Blood samples from mothers (n = 608) and offspring (n = 541) were genotyped for 83 BMI-associated SNPs and 47 waist-to-hip ratio (WHR)-associated SNPs. Linear regression and mixed-effects regression models were performed to examine clinical epidemiological and genetic associations with unweighted and weighted BMI and WHR genetic risk scores (GRS). RESULTS Prepregnancy BMI was positively associated with offspring weight and BMI Z-score from birth to 5 years. GWG was positively associated with maternal postpartum weight retention at 1 and 5 years and with offspring weight Z-score from birth to 5 years old. The maternal unweighted BMI GRS was associated with prepregnancy BMI, postpartum weight retention at 5 years, and offspring weight Z-score from birth to 5 years old, but not associated with GWG. Both maternal and offspring unweighted WHR GRSs were negatively associated with GWG. CONCLUSIONS Maternal BMI-associated SNPs may contribute to the genetic link between prepregnancy BMI variation, long-term postpartum weight retention, and offspring birth weight and longitudinal weight. Maternal and offspring WHR-associated SNPs may contribute to GWG variation.
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Affiliation(s)
- Aihua Li
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
| | - Koon K Teo
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Katherine M Morrison
- Department of Pediatrics, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Sarah D McDonald
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada
| | - Stephanie A Atkinson
- Department of Pediatrics, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Sonia S Anand
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - David Meyre
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
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19
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Terry MB, Forman MR. Empowering Pediatricians to Prevent Chronic Disease Across Generations. Pediatrics 2016; 138:S92-S94. [PMID: 27940982 DOI: 10.1542/peds.2015-4268m] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/16/2016] [Indexed: 11/24/2022] Open
Affiliation(s)
- Mary Beth Terry
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York; and
| | - Michele R Forman
- Department of Nutritional Sciences, School of Human Ecology and Bruton Endowed Professor, University of Texas at Austin, Austin, Texas
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20
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Mărginean C, Mărginean CO, Bănescu C, Meliţ L, Tripon F, Iancu M. Impact of demographic, genetic, and bioimpedance factors on gestational weight gain and birth weight in a Romanian population: A cross-sectional study in mothers and their newborns: the Monebo study (STROBE-compliant article). Medicine (Baltimore) 2016; 95:e4098. [PMID: 27399105 PMCID: PMC5058834 DOI: 10.1097/md.0000000000004098] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
The present study had 2 objectives, first, to investigate possible relationships between increased gestational weight gain and demographic, clinical, paraclinical, genetic, and bioimpedance (BIA) characteristics of Romanian mothers, and second, to identify the influence of predictors (maternal and newborns characteristics) on our outcome birth weight (BW).We performed a cross-sectional study on 309 mothers and 309 newborns from Romania, divided into 2 groups: Group I-141 mothers with high gestational weight gain (GWG) and Group II-168 mothers with normal GWG, that is, control group.The groups were evaluated regarding demographic, anthropometric (body mass index [BMI], middle upper arm circumference, tricipital skinfold thickness, weight, height [H]), clinical, paraclinical, genetic (interleukin 6 [IL-6]: IL-6 -174G>C and IL-6 -572C>G gene polymorphisms), and BIA parameters.We noticed that fat mass (FM), muscle mass (MM), bone mass (BM), total body water (TBW), basal metabolism rate (BMR) and metabolic age (P < 0.001), anthropometric parameters (middle upper arm circumference, tricipital skinfold thickness; P < 0.001/P = 0.001) and hypertension (odds ratio = 4.65, 95% confidence interval: 1.27-17.03) were higher in mothers with high GWG. BW was positively correlated with mothers' FM (P < 0.001), TBW (P = 0.001), BMR (P = 0.02), while smoking was negatively correlated with BW (P = 0.04). Variant genotype (GG+GC) of the IL-6 -572C>G polymorphism was higher in the control group (P = 0.042).We observed that high GWG may be an important predictor factor for the afterward BW, being positively correlated with FM, TBW, BMR, metabolic age of the mothers, and negatively with the mother's smoking status. Variant genotype (GG+GC) of the IL-6 -572C>G gene polymorphism is a protector factor against obesity in mothers. All the variables considered explained 14.50% of the outcome variance.
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Affiliation(s)
| | | | - Claudia Bănescu
- Department of Genetics, University of Medicine and Pharmacy, Tîrgu Mureţ
- Correspondence: Claudia Bănescu, Department of Medical Genetics, University of Medicine and Pharmacy Tirgu Mures, 38 Gh Marinescu St, 540139, Tirgu Mures, Romania (e-mail: )
| | | | - Florin Tripon
- Department of Genetics, University of Medicine and Pharmacy, Tîrgu Mureţ
| | - Mihaela Iancu
- Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy, Cluj Napoca, Romania
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Total and Trimester-Specific Gestational Weight Gain and Offspring Birth and Early Childhood Weight: A Prospective Cohort Study on Monozygotic Twin Mothers and Their Offspring. Twin Res Hum Genet 2016; 19:367-76. [PMID: 27161254 DOI: 10.1017/thg.2016.37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Gestational weight gain (GWG) has in numerous studies been associated with offspring birth weight (BW) and childhood weight. However, these associations might be explained by genetic confounding as offspring inherit their mother's genetic potential to gain weight. Furthermore, little is known about whether particular periods of pregnancy could influence offspring body weight differently. We therefore aimed to explore total and trimester-specific effects of GWG in monozygotic (MZ) twin mother-pairs on their offspring's BW, weight at 1 year and body mass index (BMI) at 5 and 10 years. MZ twin mothers born 1962-1975 were identified in national Swedish registers, and data on exposure and outcome variables was collected from medical records. We analyzed associations within and between twin pairs. We had complete data on the mothers' GWG and offspring BW for 82 pairs. The results indicated that total, and possibly also second and third trimester GWG were associated with offspring BW within the twin pairs in the fully adjusted model (β = 0.08 z-score units, 95% CI: 0.001, 0.17; β = 1.32 z-score units, 95% CI: -0.29, 2.95; and β = 1.02 z-score units, 95% CI: -0.50, 2.54, respectively). Our findings, although statistically weak, suggested no associations between GWG and offspring weight or BMI during infancy or childhood. Our study suggests that total, and possibly also second and third trimester, GWG are associated with offspring BW when taking shared genetic and environmental factors within twin pairs into account. Larger family-based studies with long follow-up are needed to confirm our findings.
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22
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Yu K, Liu X, Alhamzawi R, Becker F, Lord J. Statistical methods for body mass index: A selective review. Stat Methods Med Res 2016; 27:798-811. [DOI: 10.1177/0962280216643117] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Obesity rates have been increasing over recent decades, causing significant concern among policy makers. Excess body fat, commonly measured by body mass index, is a major risk factor for several common disorders including diabetes and cardiovascular disease, placing a substantial burden on health care systems. To guide effective public health action, we need to understand the complex system of intercorrelated influences on body mass index. This paper, based on all eligible articles searched from Global health, Medline and Web of Science databases, reviews both classical and modern statistical methods for body mass index analysis. We give a description of each of these methods, exploring the classification, links and differences between them and the reasons for choosing one over the others in different settings. We aim to provide a key resource and statistical library for researchers in public health and medicine to deal with obesity and body mass index data analysis.
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Affiliation(s)
- Keming Yu
- Department of Mathematics, Brunel University London, Uxbridge, UK
- School of Management, Hefei University of Technology, Hefei, Anhui, China
| | - Xi Liu
- Department of Mathematics, Brunel University London, Uxbridge, UK
- School of Management, Hefei University of Technology, Hefei, Anhui, China
| | - Rahim Alhamzawi
- Department of Mathematics, Brunel University London, Uxbridge, UK
- Department of Statistics, Al-Qadisiyah University, Al Di-waniyah, Iraq
| | - Frauke Becker
- Institute of Environment, Health and Societies, Brunel University London, Uxbridge, UK
| | - Joanne Lord
- Institute of Environment, Health and Societies, Brunel University London, Uxbridge, UK
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Hawkins SS, Gillman MW, Rifas-Shiman SL, Kleinman KP, Mariotti M, Taveras EM. The Linked CENTURY Study: linking three decades of clinical and public health data to examine disparities in childhood obesity. BMC Pediatr 2016; 16:32. [PMID: 26961130 PMCID: PMC4784443 DOI: 10.1186/s12887-016-0567-0] [Citation(s) in RCA: 13] [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: 07/17/2015] [Accepted: 02/29/2016] [Indexed: 01/07/2023] Open
Abstract
Background Despite the need to identify the causes of disparities in childhood obesity, the existing epidemiologic studies of early life risk factors have several limitations. We report on the construction of the Linked CENTURY database, incorporating CENTURY (Collecting Electronic Nutrition Trajectory Data Using Records of Youth) Study data with birth certificates; and discuss the potential implications of combining clinical and public health data sources in examining the etiology of disparities in childhood obesity. Methods We linked the existing CENTURY Study, a database of 269,959 singleton children from birth to age 18 years with measured heights and weights, with each child’s Massachusetts birth certificate, which captures information on their mothers’ pregnancy history and detailed socio-demographic information of both mothers and fathers. Results Overall, 74.2 % were matched, resulting in 200,343 children in the Linked CENTURY Study with 1,580,597 well child visits. Among this cohort, 94.0 % (188,334) of children have some father information available on the birth certificate and 60.9 % (121,917) of children have at least one other sibling in the dataset. Using maternal race/ethnicity from the birth certificate as an indicator of children’s race/ethnicity, 75.7 % of children were white, 11.6 % black, 4.6 % Hispanic, and 5.7 % Asian. Based on socio-demographic information from the birth certificate, 20.0 % of mothers were non-US born, 5.9 % smoked during pregnancy, 76.3 % initiated breastfeeding, and 11.0 % of mothers had their delivery paid for by public health insurance. Using clinical data from the CENTURY Study, 22.7 % of children had a weight-for-length ≥ 95th percentile between 1 and 24 months and 12.0 % of children had a body mass index ≥ 95th percentile at ages 5 and 17 years. Conclusions By linking routinely-collected data sources, it is possible to address research questions that could not be answered with either source alone. Linkage between a clinical database and each child’s birth certificate has created a unique dataset with nearly complete racial/ethnic and socio-demographic information from both parents, which has the potential to examine the etiology of racial/ethnic and socioeconomic disparities in childhood obesity.
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Affiliation(s)
- Summer Sherburne Hawkins
- Boston College, School of Social Work, McGuinn Hall, 140 Commonwealth Avenue, Chestnut Hill, MA, USA.
| | - Matthew W Gillman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Sheryl L Rifas-Shiman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Ken P Kleinman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Megan Mariotti
- Penn Center for Health Care Innovation, Philadelphia, PA, USA.
| | - Elsie M Taveras
- Division of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital for Children, Boston, MA, USA. .,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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van Rossem L, Wijga AH, Gehring U, Koppelman GH, Smit HA. Maternal Gestational and Postdelivery Weight Gain and Child Weight. Pediatrics 2015; 136:e1294-301. [PMID: 26482665 DOI: 10.1542/peds.2015-0874] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/25/2015] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Maternal gestational weight gain (GWG) is a risk factor for the development of overweight in her child. It is unknown whether GWG programs the child's health or whether GWG indicates a shared familial lifestyle during childhood. To disentangle these influences, we studied the association of GWG and postdelivery maternal weight change simultaneously with child's weight development. METHODS We used data from 3367 children participating in a birth cohort that started in 1996 in the Netherlands. Weight and height were self-reported. GWG was categorized as "inadequate," "adequate," and "excessive." Multivariable regression and mixed models were used to study maternal and child weight changes. RESULTS Children of mothers with excessive GWG had a higher BMI z score and overweight prevalence (odds ratio [OR] 1.20; 95% confidence interval [CI], 0.99 to 1.46) throughout childhood. Children of mothers with a high (≥1 kg/year) postdelivery weight gain had a 0.14 (95% CI, -0.08 to 0.36) higher change in BMI z score between age 1 and 14 years than children of mothers with a low (<0.5 kg/year) postdelivery weight gain. Children of mothers with excessive GWG in combination with a high postdelivery weight gain had the highest BMI z score and overweight risk at age 14 years (OR 3.53; 95% CI, 1.70 to 7.33). CONCLUSIONS Maternal GWG and postdelivery weight gain contribute to child's weight development up to adolescence independently.
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Affiliation(s)
- Lenie van Rossem
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands;
| | - Alet H Wijga
- Center for Prevention and Health Services Research, National Institute of Public Health and the Environment, Bilthoven, Netherlands
| | - Ulrike Gehring
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, Netherlands; and
| | - Gerard H Koppelman
- Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Henriette A Smit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
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Lin X, Aris IM, Tint MT, Soh SE, Godfrey KM, Yeo GSH, Kwek K, Chan JKY, Gluckman PD, Chong YS, Yap F, Holbrook JD, Lee YS. Ethnic Differences in Effects of Maternal Pre-Pregnancy and Pregnancy Adiposity on Offspring Size and Adiposity. J Clin Endocrinol Metab 2015; 100. [PMID: 26200236 PMCID: PMC4628100 DOI: 10.1210/jc.2015-1728] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
CONTEXT Maternal adiposity and overnutrition, both before and during pregnancy, plays a key role in the subsequent development of obesity and metabolic outcomes in offspring. OBJECTIVE We explored the hypothesis that maternal adiposity (pre-pregnancy and at 26-28 weeks' gestation) and mid-pregnancy gestational weight gain (GWG) are independently associated with offspring size and adiposity in early childhood, and determined whether these effects are ethnicity dependent. DESIGN In a prospective mother-offspring cohort study (N = 976, 56% Chinese, 26% Malay, and 18% Indian), we assessed the associations of offspring size (weight, length) and adiposity (subscapular and triceps skinfolds), measured at birth and age 6, 12, 18, and 24 mo, with maternal pre-pregnancy body mass index (ppBMI), mid-pregnancy GWG, and mid-pregnancy four-site skinfold thicknesses (triceps, biceps, subscapular, suprailiac). RESULTS ppBMI and mid-pregnancy GWG were independently associated with postnatal weight up to 2 y and skinfold thickness at birth. Weight and subscapular and triceps skinfolds at birth increased by 2.56% (95% confidence interval, 1.68-3.45%), 3.85% (2.16-5.57%), and 2.14% (0.54-3.75%), respectively for every SD increase in ppBMI. Similarly, a one-SD increase in GWG increased weight and subscapular and triceps skinfolds at birth by 2.44% (1.66-3.23%), 3.28% (1.75-4.84%), and 3.23% (1.65-4.84%), respectively. ppBMI and mid-pregnancy suprailiac skinfold independently predicted postnatal skinfold adiposity up to 2 years of age, whereas only GWG predicted postnatal length. The associations of GWG with postnatal weight and length were present only among Chinese and Indians, but not Malays (P < .05 for interaction). CONCLUSIONS ppBMI and GWG are independent modifiable factors for child size and adiposity up to 2 years of age. The associations are ethnic-dependent, and underscore the importance of ethnic specific studies before generalizing the applicability of risk factors reported in other populations.
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Affiliation(s)
- Xinyi Lin
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Izzuddin M Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Mya Thway Tint
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Shu E Soh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Keith M Godfrey
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - George Seow-Heong Yeo
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Kenneth Kwek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Jerry Kok-Yen Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Fabian Yap
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Joanna D Holbrook
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
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Diesel JC, Eckhardt CL, Day NL, Brooks MM, Arslanian SA, Bodnar LM. Is gestational weight gain associated with offspring obesity at 36 months? Pediatr Obes 2015; 10:305-10. [PMID: 25267200 PMCID: PMC4379119 DOI: 10.1111/ijpo.262] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Accepted: 07/29/2014] [Indexed: 01/28/2023]
Abstract
OBJECTIVE We examined the association between gestational weight gain (GWG) and offspring obesity at age 36 months. METHODS Mother-infant dyads (n = 609) were followed from a first study visit (mean [standard deviation]: 18.8 [2.7] weeks gestation) to 36 months postpartum. Total GWG over the entire pregnancy was defined as excessive or non-excessive according to the 2009 Institute of Medicine guidelines. Four mutually exclusive categories of excessive or non-excessive GWG across early (conception to first study visit) and late (first study visit to delivery) pregnancy defined GWG pattern. Body mass index (BMI) z-scores ≥95th percentile of the 2000 Centers for Disease Control (CDC) references defined offspring obesity at 36 months. Multivariable log-binomial models adjusted for pre-pregnancy BMI and breastfeeding were used to estimate the association between GWG and childhood obesity risk. RESULTS Nearly half of the women had total excessive GWG. Of these, 46% gained excessively during both early and late pregnancy while 22% gained excessively early and non-excessively late, and the remaining 32% gained non-excess weight early and excessively later. Thirteen per cent of all children were obese at 36 months. Excessive total GWG was associated with more than twice the risk of child obesity (adjusted risk ratio [95% confidence interval]: 2.20 [1.35, 3.61]) compared with overall non-excessive GWG. Compared with a pattern of non-excessive GWG in both early and late pregnancy, excessive GWG in both periods was associated with an increased risk of obesity (2.39 [1.13, 5.08]). CONCLUSIONS Excessive GWG is a potentially modifiable factor that may influence obesity development in early childhood.
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Affiliation(s)
- Jill C. Diesel
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania 15261
| | - Cara L. Eckhardt
- School of Community Health, Portland State University, Portland, Oregon 97201
| | - Nancy L. Day
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania 15261
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213
| | - Maria M. Brooks
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania 15261
| | - Silva A. Arslanian
- Division of Weight Management and Wellness, and Division of Pediatric Endocrinology, Children’s Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania 15224
| | - Lisa M. Bodnar
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania 15261
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213
- Magee-Women’s Research Institute, Pittsburgh, Pennsylvania 15213
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Maternal Serum Paraxanthine During Pregnancy and Offspring Body Mass Index at Ages 4 and 7 Years. Epidemiology 2015; 26:185-91. [DOI: 10.1097/ede.0000000000000220] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Zhu Y, Hernandez LM, Dong Y, Himes JH, Hirschfeld S, Forman MR. Longer breastfeeding duration reduces the positive relationships among gestational weight gain, birth weight and childhood anthropometrics. J Epidemiol Community Health 2015; 69:632-8. [PMID: 25680365 DOI: 10.1136/jech-2014-204794] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2014] [Accepted: 01/18/2015] [Indexed: 12/16/2022]
Abstract
BACKGROUND The relationship between gestational weight gain (GWG) and childhood growth remains controversial. An examination on whether infant feeding practices mediate this relationship may improve our understanding of it. METHODS We investigated whether the relationships among GWG, birth weight and childhood anthropometrics were mediated through infant feeding practices (breastfeeding duration and age at introduction of solid foods) in a cross-sectional multiethnic study of 1387 mothers and their children aged 0-5.9 years in the USA (2011-2012). Child anthropometrics included age-specific and sex-specific z-scores for weight-for-age (WAZ), height/length-for-age (HAZ), weight-for-height/length (WHZ) and body mass index-for-age (BMIZ); and ulnar length, a marker for limb growth. We used structural equation modelling to calculate standardised path coefficients and total, direct and indirect associations of GWG, birth weight and infant feeding practices with child anthropometrics. RESULTS Maternal GWG had a positive indirect association with all anthropometrics mediated via birth weight, whereas longer breastfeeding duration reduced the positive associations of GWG and birth weight with WAZ, WHZ and BMIZ in non-Hispanics (β=-0.077, -0.064 and -0.106, respectively). Longer breastfeeding duration and introducing solid foods at a later age were positively associated with ulnar length (β=0.023 and 0.030, respectively) but not HAZ, suggesting a distinct association, for the first time, with limb growth. CONCLUSIONS Findings suggest that promoting longer breastfeeding duration among women with excessive GWG who had high birthweight newborns may mitigate the potential for their offspring to develop obesity. In addition, findings reinforce the importance of promoting appropriate GWG and preventing high birth weight, which are positively associated with childhood anthropometrics.
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Affiliation(s)
- Yeyi Zhu
- Department of Nutritional Sciences, University of Texas at Austin, Austin, Texas, USA
| | - Ladia M Hernandez
- Department of Nutritional Sciences, University of Texas at Austin, Austin, Texas, USA
| | - Yongquan Dong
- Department of Nutritional Sciences, University of Texas at Austin, Austin, Texas, USA
| | - John H Himes
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Steven Hirschfeld
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA
| | - Michele R Forman
- Department of Nutritional Sciences, University of Texas at Austin, Austin, Texas, USA
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McCarthy K, Ye YL, Yuan S, He QQ. Parental weight status and offspring cardiovascular disease risks: a cross-sectional study of Chinese children. Prev Chronic Dis 2015; 12:E01. [PMID: 25569694 PMCID: PMC4290097 DOI: 10.5888/pcd12.140384] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Introduction Prevalence of childhood obesity in China is increasing, and parental weight is a risk factor for the development of obesity in children. We examined the relationship of parental body weight status with risk of offspring cardiovascular disease (CVD) in Chinese children. Method We conducted a cross-sectional study in Wuhan, China, during May and June 2010. Parental body mass index (BMI) was calculated according to self-reported height and weight. Offspring CVD risk factors, including BMI, waist circumference, blood pressure, fasting glucose, triglycerides, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, cardiorespiratory fitness (CRF), and metabolic risk score (MRS), were assessed through anthropometric measures, blood samples, and a CRF test. Multiple linear regression and analysis of covariance were used to examine the effects of maternal and paternal weight status on offspring CVD risks. Results A total of 580 Chinese children (339 boys and 241 girls, mean [standard deviation] age, 9.6 [0.7] years) participated in the study. Maternal BMI was significantly associated with offspring elevated BMI (β = 0.134, P = .002), waist circumference (β = 0.253, P = .04), and decreased CRF (β = −0.134, P = .01). Paternal BMI was significantly associated with elevated offspring BMI (β = 0.161, P < .001), waist circumference (β = 0.404, P < .001), triglycerides (β = 0.017, P = .03), MRS (β = 0.084, P = .03), and decreased CRF (β = −0.174, P < .001). BMI (P < .001), waist circumference (P < .001), and MRS (P < .05) were positively associated with additional overweight/obese parents, whereas CRF was negatively associated (P < .001). Conclusion Parental weight status was significantly associated with increased risk of CVD in their children, and the association was stronger for paternal weight status.
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Affiliation(s)
- Kayne McCarthy
- School of Public Health, Wuhan University, Wuhan, P. R. China and University of Hawaii Office of Public Health Studies, Honolulu, Hawaii
| | - Yong-ling Ye
- School of Public Health, Wuhan University, Wuhan, P. R. China
| | - Shuai Yuan
- School of Public Health, Wuhan University, Wuhan, P. R. China
| | - Qi-qiang He
- School of Public Health/Global Health Institute, Wuhan University, Donghu Rd, No. 185, Wuhan, Hubei Province, 430071, P.R. China. E-mail:
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Berglind D, Willmer M, Näslund E, Tynelius P, Sørensen TIA, Rasmussen F. Differences in gestational weight gain between pregnancies before and after maternal bariatric surgery correlate with differences in birth weight but not with scores on the body mass index in early childhood. Pediatr Obes 2014; 9:427-34. [PMID: 24339139 DOI: 10.1111/j.2047-6310.2013.00205.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2013] [Accepted: 09/23/2013] [Indexed: 12/31/2022]
Abstract
BACKGROUND Large maternal gestational weight gain (GWG) is associated with increased birth weight and increased risk of obesity in offspring, but these associations may be confounded by genetic and environmental factors. The aim was to investigate the effects of differences in GWG in all three trimesters on differences in birth weight and in body mass index (BMI) scores at 4 and 6 years of age, within siblings born before and after bariatric surgery. METHOD Women with at least one child born before and one after bariatric surgery were identified in national Swedish registers. Series of weight (and height) measurements were collected from antenatal medical records, with data on the nearest pregnancies before and after bariatric surgery. RESULTS The age-adjusted means of pre- and post-operative GWG of 124 women were 11.3 (standard deviation [SD] 7.2) and 8.3 (SD 6.4) kg, respectively (P = 0.01). Adjusted fixed effects regression models showed positive associations of differences in mean total GWG with differences in siblings' birth weight, 0.023 kg per 1-kg greater weight gain (95% confidence interval [CI]: 0.014-0.069) and for second trimester 0.53 kg for each 1-kg greater weight per week (95% CI: 0.32-1.61), whereas no associations were found with BMI in pre-school age. CONCLUSION This study showed positive associations between differences in total and second trimester maternal GWG and differences in children's birth weight, but no association with BMI scores in pre-school age. Maternal genetic, social and lifestyle factors fixed from one pregnancy to the next were taken into account in the analyses by the study design.
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Affiliation(s)
- D Berglind
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
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Lau EY, Liu J, Archer E, McDonald SM, Liu J. Maternal weight gain in pregnancy and risk of obesity among offspring: a systematic review. J Obes 2014; 2014:524939. [PMID: 25371815 PMCID: PMC4202338 DOI: 10.1155/2014/524939] [Citation(s) in RCA: 105] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Revised: 09/11/2014] [Accepted: 09/14/2014] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVES To systematically review the evidence from prospective and retrospective cohort studies on the association between gestational weight gain (GWG) and offspring's body weight. METHODS Electronic databases PubMed, Web of Science, CINAHL, and Academic Search Premiere were searched from inception through March 18, 2013. Included studies (n = 23) were English articles that examined the independent associations of GWG with body mass index (BMI) and/or overweight status in the offspring aged 2 to 18.9 years. Two authors independently extracted the data and assessed methodological quality of the included studies. RESULTS Evidence from cohort studies supports that total GWG and exceeding the Institute of Medicine maternal weight gain recommendation were associated with higher BMI z-score and elevated risk of overweight or obesity in offspring. The evidence of high rate of GWG during early- and mid-pregnancy is suggestive. Additionally, the evidence on inadequate GWG and net GWG in relation to body weight outcomes in offspring is insufficient to draw conclusions. CONCLUSIONS These findings suggest that GWG is a potential risk factor for childhood obesity. However, findings should be interpreted with caution due to measurement issues of GWG and potential confounding effects of shared familial characteristics (i.e., genetics and maternal and child's lifestyle factors).
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Affiliation(s)
- Erica Y. Lau
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Junxiu Liu
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Room 459 Discovery Building, Columbia, SC 29208, USA
| | - Edward Archer
- Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Samantha M. McDonald
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Jihong Liu
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Room 459 Discovery Building, Columbia, SC 29208, USA
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Mamun AA, Mannan M, Doi SAR. Gestational weight gain in relation to offspring obesity over the life course: a systematic review and bias-adjusted meta-analysis. Obes Rev 2014; 15:338-47. [PMID: 24321007 DOI: 10.1111/obr.12132] [Citation(s) in RCA: 161] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Revised: 09/13/2013] [Accepted: 10/01/2013] [Indexed: 01/09/2023]
Abstract
Gestational weight gain (GWG) is considered one of the risk factors for future obesity in the offspring. However, the direction and strength of this association at different periods of offspring life is relatively unknown. This study investigates whether excess or inadequate maternal GWG during pregnancy influences the risk of offspring obesity at different stages in life. A systematic review of published articles was undertaken after a comprehensive search of different databases, and extracted data were meta-analysed. To quantify offspring obesity estimates in relation to GWG, we stratified obesity estimates within three life stages of the offspring age: <5 years, 5 to <18 years and 18+ years. Our meta-analysis showed that, compared with offspring of women with adequate GWG, offspring of women who gained inadequate gestational weight were at a decreased risk of obesity (relative risk [RR]: 0.86; 95% confidence interval [CI]: 0.78-0.94), and offspring of women who gained excess weight were at an increased risk of obesity (RR: 1.40; 95% CI: 1.23-1.59). These relationships were similar after stratification by life stage. Findings of this study therefore suggest that excess GWG does influence offspring obesity over the short- and long-term, and should therefore be avoided.
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Affiliation(s)
- A A Mamun
- School of Population Health, University of Queensland, Brisbane, Australia
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Wander PL, Hochner H, Sitlani CM, Enquobahrie DA, Lumley T, Lawrence GM, Burger A, Savitsky B, Manor O, Meiner V, Hesselson S, Kwok PY, Siscovick DS, Friedlander Y. Maternal genetic variation accounts in part for the associations of maternal size during pregnancy with offspring cardiometabolic risk in adulthood. PLoS One 2014; 9:e91835. [PMID: 24670385 PMCID: PMC3966761 DOI: 10.1371/journal.pone.0091835] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Accepted: 02/12/2014] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Maternal pre-pregnancy body-mass index (ppBMI) and gestational weight gain (GWG) are associated with cardiometabolic risk (CMR) traits in the offspring. The extent to which maternal genetic variation accounts for these associations is unknown. METHODS/RESULTS In 1249 mother-offspring pairs recruited from the Jerusalem Perinatal Study, we used archival data to characterize ppBMI and GWG and follow-up data from offspring to assess CMR, including body mass index (BMI), waist circumference, glucose, insulin, blood pressure, and lipid levels, at an average age of 32. Maternal genetic risk scores (GRS) were created using a subset of SNPs most predictive of ppBMI, GWG, and each CMR trait, selected among 1384 single-nucleotide polymorphisms (SNPs) characterizing variation in 170 candidate genes potentially related to fetal development and/or metabolic risk. We fit linear regression models to examine the associations of ppBMI and GWG with CMR traits with and without adjustment for GRS. Compared to unadjusted models, the coefficient for the association of a one-standard-deviation (SD) difference in GWG and offspring BMI decreased by 41% (95%CI -81%, -11%) from 0.847 to 0.503 and the coefficient for a 1SD difference in GWG and WC decreased by 63% (95%CI -318%, -11%) from 1.196 to 0.443. For other traits, there were no statistically significant changes in the coefficients for GWG with adjustment for GRS. None of the associations of ppBMI with CMR traits were significantly altered by adjustment for GRS. CONCLUSIONS Maternal genetic variation may account in part for associations of GWG with offspring BMI and WC in young adults.
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Affiliation(s)
- Pandora L. Wander
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Hagit Hochner
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Colleen M. Sitlani
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
| | - Daniel A. Enquobahrie
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Thomas Lumley
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | - Gabriela M. Lawrence
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Ayala Burger
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Bella Savitsky
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Orly Manor
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Vardiella Meiner
- Department of Human Genetics, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Stephanie Hesselson
- Institute of Human Genetics, University of California San Francisco, San Francisco, California, United States of America
| | - Pui Y. Kwok
- Institute of Human Genetics, University of California San Francisco, San Francisco, California, United States of America
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, California, United States of America
- Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America
| | - David S. Siscovick
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
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Ludwig DS, Rouse HL, Currie J. Pregnancy weight gain and childhood body weight: a within-family comparison. PLoS Med 2013; 10:e1001521. [PMID: 24130460 PMCID: PMC3794857 DOI: 10.1371/journal.pmed.1001521] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Accepted: 08/20/2013] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Excessive pregnancy weight gain is associated with obesity in the offspring, but this relationship may be confounded by genetic and other shared influences. We aimed to examine the association of pregnancy weight gain with body mass index (BMI) in the offspring, using a within-family design to minimize confounding. METHODS AND FINDINGS In this population-based cohort study, we matched records of all live births in Arkansas with state-mandated data on childhood BMI collected in public schools (from August 18, 2003 to June 2, 2011). The cohort included 42,133 women who had more than one singleton pregnancy and their 91,045 offspring. We examined how differences in weight gain that occurred during two or more pregnancies for each woman predicted her children's BMI and odds ratio (OR) of being overweight or obese (BMI≥85th percentile) at a mean age of 11.9 years, using a within-family design. For every additional kg of pregnancy weight gain, childhood BMI increased by 0.0220 (95% CI 0.0134-0.0306, p<0.0001) and the OR of overweight/obesity increased by 1.007 (CI 1.003-1.012, p = 0.0008). Variations in pregnancy weight gain accounted for a 0.43 kg/m(2) difference in childhood BMI. After adjustment for birth weight, the association of pregnancy weight gain with childhood BMI was attenuated but remained statistically significant (0.0143 kg/m(2) per kg of pregnancy weight gain, CI 0.0057-0.0229, p = 0.0007). CONCLUSIONS High pregnancy weight gain is associated with increased body weight of the offspring in childhood, and this effect is only partially mediated through higher birth weight. Translation of these findings to public health obesity prevention requires additional study. Please see later in the article for the Editors' Summary.
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Affiliation(s)
- David S. Ludwig
- New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, Massachusetts, United States of America
- * E-mail:
| | - Heather L. Rouse
- Arkansas Center for Health Improvement, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - Janet Currie
- Center for Health and Wellbeing, Princeton University, Princeton, New Jersey, United States of America
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Symonds ME, Mendez MA, Meltzer HM, Koletzko B, Godfrey K, Forsyth S, van der Beek EM. Early life nutritional programming of obesity: mother-child cohort studies. ANNALS OF NUTRITION AND METABOLISM 2013; 62:137-45. [PMID: 23392264 DOI: 10.1159/000345598] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2012] [Accepted: 10/29/2012] [Indexed: 01/12/2023]
Abstract
BACKGROUND The obesity epidemic has resulted in more overweight/obese women before and during pregnancy. Their offspring tend to have higher birth weights and more body fat, and carry an increased risk of obesity later in life. These effects may partly be related to the heightened risk of gestational diabetes, occurring in at least 16% of all pregnancies irrespective of current body weight. METHODS An ILSI Europe workshop reviewed the key contributors leading to adverse outcomes in pregnancy and childhood, including gestational weight gain and nutrition. New research opportunities from prospective mother-child cohort studies were explored. RESULTS Simple measures of gestational weight gain provide insufficient detail of the underlying physiological and metabolic adaptations occurring in pregnancy, and should be complemented by measures of body composition, metabolic and endocrine responses. Recordings of maternal dietary intake and nutrient status are often limited and potential correlations with gestational weight gain have been poorly studied. Many pregnancies in overweight/obese women are uncomplicated and result in offspring of normal weight, leaving the main determinants of later adverse outcomes to be clarified. CONCLUSIONS The workshop provided insights of primary measurements for the characterization of sustainable nutritional intervention strategies in the mother, infant and child for preventing obesity in later life.
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Affiliation(s)
- Michael E Symonds
- Early Life Nutrition Research Unit, Academic Division of Child Health School of Medicine, Queen's Medical Centre, University Hospital, University of Nottingham, Nottingham, UK
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Ehrenthal DB, Maiden K, Rao A, West DW, Gidding SS, Bartoshesky L, Carterette B, Ross J, Strobino D. Independent relation of maternal prenatal factors to early childhood obesity in the offspring. Obstet Gynecol 2013; 121:115-21. [PMID: 23262935 DOI: 10.1097/aog.0b013e318278f56a] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To examine the independent contribution of risk factors developing during pregnancy to subsequent risk of obesity in young children. METHODS We conducted a historical cohort study using data from electronic medical records of mothers and their 3,302 singleton offspring born between 2004 and 2007 at a community-based obstetric facility who attended a 4-year well visit at a pediatric practice network. The child's body mass index (BMI) z score at age 4 years was studied in relation to the mother's gestational weight gain, gestational diabetes mellitus, gestational hypertension or preeclampsia, and prenatal tobacco use. Institute of Medicine categories defined excess and inadequate gestational weight gain at term. Analysis of variance and multiple linear regression were used to test their independent relation to BMI. RESULTS Mothers were white (39%), African American (46%), and of Hispanic ethnicity (11%); 46% were privately insured. The association of net gestational weight gain with the child's BMI z score was significant after adjustment for prepregnancy maternal factors (P<.001); gestational diabetes mellitus, gestational hypertension, and tobacco use were not significant in adjusted models. Children of mothers with excess gestational weight gain had a higher mean BMI z score (P<.001) but a significant association was observed only for inadequate gestational weight gain after adjusting for prepregnancy BMI and other covariates. Prepregnancy BMI (P<.001), Hispanic ethnicity (P<.001), and being married (P<.05) were independently associated with increasing BMI z score of the offspring. CONCLUSIONS Preconception maternal factors had a greater influence on child obesity than prenatal factors. The gestational weight gain category was independently related to BMI z score of 4 year olds, but this association was significant only for mothers with inadequate gestational weight gain. LEVEL OF EVIDENCE II.
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O'Reilly JR, Reynolds RM. The risk of maternal obesity to the long-term health of the offspring. Clin Endocrinol (Oxf) 2013; 78:9-16. [PMID: 23009645 DOI: 10.1111/cen.12055] [Citation(s) in RCA: 185] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2012] [Revised: 09/18/2012] [Accepted: 09/19/2012] [Indexed: 01/22/2023]
Abstract
The prevalence of maternal obesity has risen dramatically in recent years, with approximately one in five pregnant women in the UK now classed as obese (body mass index ≥ 30 kg/m(2) ) at antenatal booking. Obesity during pregnancy has been hypothesized to exert long-term health effects on the developing child through 'early life programming'. While this phenomenon has been well studied in a maternal undernutrition paradigm, the processes by which the programming effects of maternal obesity are mediated are less well understood. In humans, maternal obesity has been associated with a number of long-term adverse health outcomes in the offspring, including lifelong risk of obesity and metabolic dysregulation with increased insulin resistance, hypertension and dyslipidaemia, as well as behavioural problems and risk of asthma. The complex relationships between the maternal metabolic milieu and the developing foetus, as well as the potential influence of postnatal lifestyle and environment, have complicated efforts to study the programming effects of maternal overnutrition in humans. This review will examine the emerging evidence from human studies linking maternal obesity to adverse offspring outcomes.
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Affiliation(s)
- James R O'Reilly
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, Endocrinology Unit, University of Edinburgh, Edinburgh, UK
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Ehrenthal DB, Maiden K, Rao A, West DW, Gidding SS, Bartoshesky L, Carterette B, Ross J, Strobino D. Independent Relation of Maternal Prenatal Factors to Early Childhood Obesity in the Offspring. Obstet Gynecol 2013. [DOI: http:/10.1097/aog.0b013e318278f56a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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Ruiz-Castell M, Carsin AE, Barbieri FL, Paco P, Gardon J, Sunyer J. Child patterns of growth delay and cognitive development in a Bolivian mining city. Am J Hum Biol 2012; 25:94-100. [PMID: 23132674 DOI: 10.1002/ajhb.22346] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2012] [Revised: 09/28/2012] [Accepted: 10/10/2012] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES This study aims to (1) follow up and characterize infant growth patterns during the first year of life in Bolivia, and (2) determine whether there exists an association between weight gain and cognitive development in children living near contaminated mining industries. METHODS Data on 175 children participating to the ToxBol (Toxicity in Bolivia) birth cohort were analyzed. Rapid-growth during the first 6 months was defined as a change in weight z-score > 0.67 while slow-growth was defined as a weight z-score change of < -0.67. Neurodevelopment was evaluated using the Bayley Scales of Infant Development at 10.5-12.5 months of age. Mixed models were used to examine the association between cognitive development and weight gain. RESULTS Rapid growers weighed less at birth (P < 0.01). However, they revealed a higher body mass index at 12 months of age (0.70 ± 0.73, P < 0.01). After adjustment for confounding, rapid growth was not associated with cognitive development (coef = 0.49, 95% confidence interval = -4.10, 5.08). CONCLUSIONS In this Bolivian cohort, children born smaller were more likely to grow/develop faster and attain greater weight and length. Their cognitive development was not affected by their growth patterns.
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Affiliation(s)
- María Ruiz-Castell
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Dr. Aiguader, 88 08003 Barcelona, Spain.
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Poston L. Maternal obesity, gestational weight gain and diet as determinants of offspring long term health. Best Pract Res Clin Endocrinol Metab 2012; 26:627-39. [PMID: 22980045 DOI: 10.1016/j.beem.2012.03.010] [Citation(s) in RCA: 144] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This review addresses the increasingly prolific literature from studies in man and animals suggesting that maternal obesity, a diet rich in calories or excess gestational weight gain may, through perturbation of the intrauterine environment, lead to lifelong risk of obesity and related disorders in the child. In addressing maternal- child obesity relationships it remains a challenge to distinguish the influence of the intrauterine environment from the contribution of shared genetic traits, and to adequately adjust for postnatal determinants of childhood obesity. Studies in genetically identical rodents convincingly show that maternal obesity, as well as elements of a hypercalorific diet can permanently influence offspring risk of obesity, and are these are supported by studies in larger mammals. Importantly, dissection of the mechanism in animals has led to description of novel interactive pathways between maternal environment and fetus which are amenable to investigation in humans.
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Affiliation(s)
- Lucilla Poston
- Division of Women's Health, Women's Health Academic Centre, King's College London, St. Thomas' Hospital, London, United Kingdom.
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Hinkle SN, Sharma AJ, Swan DW, Schieve LA, Ramakrishnan U, Stein AD. Excess gestational weight gain is associated with child adiposity among mothers with normal and overweight prepregnancy weight status. J Nutr 2012; 142:1851-8. [PMID: 22955516 PMCID: PMC6498456 DOI: 10.3945/jn.112.161158] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
There are inconsistencies in the literature regarding the association between gestational weight gain (GWG) and child adiposity. GWG is hypothesized to act on child adiposity directly through intrauterine programming and indirectly through birth weight. It is unclear if the relative importance of these pathways differs by prepregnancy BMI status. We analyzed data from 3600 participants of the nationally representative Early Childhood Longitudinal Study-Birth Cohort. Child BMI Z-score was calculated from height and weight measured at 5 y. Using linear regression, controlling for sociodemographics and family lifestyle, we examined prepregnancy BMI-specific associations between GWG and child BMI Z-score. There was a nonlinear association among normal (P < 0.001) and overweight mothers only (P = 0.013), such that GWG beyond the midpoint of the 2009 Institute of Medicine recommendations was associated with a significant increase in child BMI Z-score. After the addition of birth-weight-for-gestational-age and breastfeeding to the model, the association remained among normal-weight mothers (P = 0.005) and was slightly attenuated among overweight mothers (P = 0.09). No significant association was observed between GWG and child BMI Z-score among underweight or obese mothers. We used path analysis to decompose the total effect into direct and indirect effects. This indicated the presence of a stronger direct than indirect effect. In conclusion, low GWG is not associated with BMI Z-score among any prepregnancy BMI group. Excess GWG is associated with an increase in child BMI Z-score among normal and overweight mothers only. Prevention of excess GWG may be a strategy to prevent childhood obesity.
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Affiliation(s)
- Stefanie N. Hinkle
- Nutrition and Health Sciences, Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA,National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA
| | - Andrea J. Sharma
- Nutrition and Health Sciences, Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA,National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA,United States Public Health Service Commissioned Corps, Atlanta, GA,To whom correspondence should be addressed. E-mail:
| | - Deanne W. Swan
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Laura A. Schieve
- National Center for Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA
| | - Usha Ramakrishnan
- Nutrition and Health Sciences, Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA,Rollins School of Public Health, Emory University, Atlanta, GA
| | - Aryeh D. Stein
- Nutrition and Health Sciences, Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA,Rollins School of Public Health, Emory University, Atlanta, GA
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The associations between maternal pre-pregnancy body mass index or gestational weight change during pregnancy and body mass index of the child at 3 years of age. Int J Obes (Lond) 2012; 36:1325-31. [PMID: 22929211 DOI: 10.1038/ijo.2012.140] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
OBJECTIVE To estimate the associations between maternal pre-pregnancy body mass index (BMI) or gestational weight change (GWC) during pregnancy and offspring BMI at 3 years of age, while taking several pre-and postnatal factors into account. DESIGN The Norwegian Mother and Child Cohort Study is a population-based pregnancy cohort study of women recruited from all geographical areas of Norway. SUBJECTS The study includes 31 169 women enrolled between 2000 and 2009 through a postal invitation sent to women at 17-18 weeks of gestation. Data collected from 5898 of the fathers were included. MAIN OUTCOME MESURES: Offspring BMI at 3 years was the main outcome measured in this study. RESULTS Mean maternal pre-pregnancy BMI was 24.0 kg m(-2) (s.d. 4.1), mean GWC in the first 30 weeks of gestation was 9.0 kg (s.d. 4.1) and mean offspring BMI at 3 years of age was 16.1 kg m(-2) (s.d. 1.5). Both maternal pre-pregnancy BMI and GWC were positively associated with mean offspring BMI at 3 years of age. Pre-pregnancy BMI and GWC also interacted, and the strength of the interaction between these two factors was strongly associated with the increase in offspring BMI among mothers who gained the most weight during pregnancy and had the highest pre-pregnancy BMI. Our findings show that results could be biased by not including pre-pregnant paternal BMI. CONCLUSION(S) This large population-based study showed that both maternal pre-pregnancy BMI and GWC were positively associated with mean offspring BMI at 3 years of age.
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Mitsuhashi T, Suzuki E, Takao S, Doi H. Maternal Working Hours and Early Childhood Overweight in Japan: A Population‐based Study. J Occup Health 2012; 54:25-33. [DOI: 10.1539/joh.11-0100-oa] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Toshiharu Mitsuhashi
- Department of EpidemiologyOkayama University Graduate School of Medicine, Dentistry and Pharmaceutical SciencesJapan
| | - Etsuji Suzuki
- Department of EpidemiologyOkayama University Graduate School of Medicine, Dentistry and Pharmaceutical SciencesJapan
| | - Soshi Takao
- Department of EpidemiologyOkayama University Graduate School of Medicine, Dentistry and Pharmaceutical SciencesJapan
| | - Hiroyuki Doi
- Department of EpidemiologyOkayama University Graduate School of Medicine, Dentistry and Pharmaceutical SciencesJapan
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