Offspring Body Mass Index Research Articles

Influence of Parental Physical Activity and Screen Time on the BMI of Adult Offspring in a Saudi Population.

Saudi Arabia is witnessing a drastic rise in adult obesity. Geographic limitations hamper somatic activities to counter this rise. Parental physical inactivity in the region has never been addressed. This study’s purpose is to determine the differences between parent and adult child (the subjects here) levels of physical activity (PA) and screen time (ST) between normal weight and obese adults in the Saudi Arabian population. Two hundred and forty adult subjects (18 to 35 years) were screened for their body mass index (BMI) values (18.5 ≤ 25 as normal and 25 ≤ 30) or above as overweight/obese), followed by their congregation into normal weight (N) (n = 150) and overweight/obese (Ov/Ob) (n = 90) groups. A self-reported questionnaire assessed parenting practices, while a physical activity record diary calculated existing levels of PA and ST. Statistical significance was determined by a chi-squared test (p < 0.01) and BMI correlation was found by Pearson’s correlation coefficient. Maternal age (87.8% ≤ 20 years in the Ov/Ob group (Gp) and consanguineous marriage (88.9% in the Ov/Ob Gp) showed significant differences. A high prevalence of inactivity was observed among families (father 53.3%, mother 53.3%, subject 80.0%) in the Ov/Ob Gp. Higher amounts of ST (76.7% ≥ 9 h/day) were found in the Ov/Ob Gp, which significantly differed. Differences in the parent and child levels of PA and ST exist between normal weight and obese Saudi Arabian adults. Physically active parents having adult children inspire them to develop healthy physical behaviors which counter the development of obesity. Consanguineous marriage and early maternal age may be associated with progressive adult obesity.

Maternal antibiotic use and vaginal infections in the third trimester of pregnancy and the risk of obesity in preschool children.

SummaryBackground/objectivesSeveral exposures during pregnancy are associated with offspring body mass index (BMI). The objective of this study was to evaluate whether third trimester antibiotic use and vaginal infections are associated with BMI in preschool children.Subjects/methodsThe study population included singletons from the NINFEA birth cohort with available anthropometric measurements at the age of 4 (3151 born with vaginal and 1111 born with caesarean delivery). Self‐reported use of antibiotics and the presence of vaginal infection in the third trimester were analysed in association with the child's BMI, classified into three categories: thinness, normal and overweight/obesity, using both the International Obesity Task Force (IOTF) and the World Health Organization (WHO) recommended cut‐offs.ResultsMaternal vaginal infections in the third trimester of pregnancy were associated with higher relative risk ratios (RRR) for overweight/obesity at age of four in children delivered vaginally: 1.92 (95% confidence interval [CI]: 1.37 to 2.70). This association appeared stronger for children born to women with pre‐pregnancy BMI >25 kg/m2 (RRR: 4.78; 95% CI 2.45 to 9.35), and was robust when different obesity cut‐offs were used. The results regarding third trimester antibiotic use in vaginal deliveries were less conclusive (RRRs for overweight/obesity: 1.43 (0.92 to 2.21) and 1.11 (0.57 to 2.20), for the IOTF and WHO cut‐offs, respectively). Third trimester vaginal infections were not associated with BMI in children delivered by caesarean section.ConclusionsMaternal third trimester vaginal infections are associated with an increased overweight/obesity risk in children born by vaginal delivery, and especially in children of mothers with pre‐pregnancy overweight/obesity.

Maternal postload 1-hour glucose level during pregnancy and offspring’s overweight/obesity status in preschool age

BackgroundChildhood obesity is associated with adverse outcomes such as metabolic syndrome, diabetes, and cardiovascular diseases in adulthood. Identifying risk factors related to excessive adiposity in early childhood is of great...

Adverse pregnancy outcomes on the risk of overweight offspring: a population-based retrospective study in Xiamen, China

The growth trajectory of Chinese preschoolers still remains unclear. Our objective was to determine whether there was an association between adverse pregnancy outcomes and overweight offspring. We analyzed population-based retrospective cohort data from the Medical Birth Registry of Xiamen, which comprised 33,157 children examined from 1 to 6 years of age. Longitudinal analyses were used to evaluate the growth trajectories of offspring body mass index (BMI). Multivariate logistic regression was used to assess the effects of two adverse pregnancy outcomes, gestational diabetes mellitus (GDM) and being large-for-gestational age (LGA), on childhood overweight. Offspring of mothers with GDM and LGA has a higher annual BMI z-score from 1 to 6 years of age (all P < 0.05). But, a higher annual BMI z-score was only observed in children aged 1–5 years in models 1–3. Overall BMI z-score of offspring aged 1–6 who were born to mothers with GDM and LGA were also higher in models 1–3 (all P < 0.05). Additionally, offspring of mothers with GDM and LGA had a higher risk for overweight in model 1, from 1 to 6 years of age (odds ratio (OR), 1.814; 95% confidence interval (CI), 1.657–1.985; P < 0.0001). However, this association was attenuated after adjusting for maternal pre-pregnancy BMI (OR, 1.270; 95% CI, 0.961–1.679; P = 0.0930). Offspring of mothers with GDM and LGA had a higher BMI z-score and increased risk for overweight. Indeed, intrauterine exposure to maternal GDM and LGA could bias offspring to overweight, whereas maternal pre-pregnancy BMI may play a key role in offspring overweight for children born to mothers with GDM and LGA.

Parental Multisite Chronic Pain and the Risk of Adult Offspring Developing Additional Chronic Pain Sites: Family-Linkage Data From the Norwegian HUNT Study

We investigated if parental multisite chronic pain increases the risk of adult offspring developing additional chronic pain sites, and if offspring body mass index (BMI) and leisure time physical activity modify this association. We used longitudinal data on 7,654 offspring linked with their parents who participated in the population-based HUNT Study (Norway) in 1995 to 1997 and 2006 to 2008. Logistic regression was used to estimate odds ratios (ORs) with 95% confidence interval (CI). One-third of offspring (n = 2,573) developed additional chronic pain sites. Having both parents with 1–2 chronic pain sites increased the risk of developing additional pain sites compared to having parents free of chronic pain (OR = 1.33; 95% CI 1.05–1.68), with larger effects observed when both parents had ≥3 chronic pain sites (OR = 1.46; 95% CI 1.17–1.82). These associations were largely driven by maternal pain, that is, there was no association between paternal chronic pain and risk of additional pain sites in offspring. The parent-offspring transfer of additional pain sites (when both parents had ≥3 pain sites) strengthened when offspring were obese (OR = 2.56; 95% CI 1.75–3.75) or physically inactive (OR = 1.73; 95% CI 1.33–2.27). In conclusion, parental multisite chronic pain increases the risk of offspring developing additional chronic pain sites, particularly those with obesity or inactivity. PerspectiveThis longitudinal analysis investigated the parent-offspring transmission of multisite chronic pain, and whether lifestyle behaviors in offspring modify this association. The findings suggest that having parents with multisite chronic pain increases the risk of offspring developing additional chronic pain sites, particularly if offspring are obese or inactive.

Preeclampsia exposed offspring have greater body mass index than non-exposed offspring during peripubertal life: A meta-analysis.

This study evaluates the effect of preeclampsia on body mass index (BMI) of offspring who were exposed to preeclampsia in utero. Data were obtained from studies identified by a literature search in electronic databases. Random-effects metanalyses were conducted to achieve mean difference in BMI, waist circumference, gestation length, and birthweight between preeclampsia exposed (PE) and non-exposed (non-PE) offspring older than 5 years. Metaregression analyses were performed to identify factors affecting offspring BMI. Sixteen studies (11639 PE offspring; age 15.5 years [14.2, 16.8]; 33.3% [32.6, 33.9] males vs 526,576 non-PE offspring; age 15.7 years [15.0, 16.4]; 42.6% [40.6, 44.5] male) were used. Gestation duration and birthweight of PE fetuses were significantly lesser than those of non-PE fetuses (mean difference (MD) -0.66 weeks [-1.25, -0.07]; p = 0.03 and MD -207.9 [-344.0, -71.8]; p = 0.003) respectively. BMI of PE offspring was significantly higher than non-PE offspring (MD 0.54 kg/m2 [0.27, 0.82]; p = 0.0001). Odds of being obese was significantly higher in PE than non-PE offspring (odds ratio 2.12 [1.70, 2.66]; P < 0.00001). Waist circumference was also significantly higher in PE than in non-PE offspring (MD 1.37 cm [0.67, 2.06]; p = 0.0001). Offspring BMI was significantly inversely associated with maternal age in both PE and non-PE groups. Preeclampsia poses risk of higher BMI and waist circumference especially to the offspring of older mothers.

Maternal age at menarche and offspring body mass index in childhood

BackgroundEarlier age of menarche has been associated with an increased risk of chronic diseases during adulthood, but whether early menarche has intergenerational effect is not clear.MethodsIn this population-based cross-sectional study, we recruited children from 26 primary schools using cluster random probability sampling in Shanghai, China, in 2014. We used multiple linear regression models to estimate the adjusted associations of maternal age of menarche (MAM) with offspring body mass index (BMI). We also used the mediation analysis to examine the contribution of maternal BMI and gestational diabetes to offspring BMI.ResultsA total of 17,571 children aged 6–13 years were enrolled, of whom 16,373 had their weight and height measured. Earlier MAM was associated with higher child BMI in boys (− 0.05 z-score per year older MAM, 95% CI − 0.08 to − 0.02) and in girls (− 0.05 z-score per year older MAM, 95% CI − 0.07 to − 0.02). Maternal BMI positively mediated the association of MAM with offspring BMI in both sexes, with mediation effects of 37.7 and 19.4% for boys and girls, respectively.ConclusionEarly maternal menarche was associated with greater offspring BMI. This study provides evidence for the intergenerational effect in the development of BMI in offspring.

Association of maternal pre-pregnancy body mass index and pregnancy history with birthweight in offspring

Objective To investigate the association between maternal body mass index (BMI), pregnancy history and birthweight of offspring including low birthweight, macrosomia, small-for-gestational-age (SGA) and large-for-gestational-age (LGA) in Jiashan county of Zhejiang province. Methods We recruited 919 pairs of women and their singleton neonates from the participants of National Free Preconception Health Examination Project (NFPHEP) conducted in Jiashan county of Zhejiang province in 2014 and 2015. Relevant information were extracted from the dataset of NFPHEP. Chi-square test, linear regression, and logistic regression model were applied in statistics analyses. Results Of all the pregnant women, 21.00% (193) were overweight/obesity and 12.73% (117) were lean. For all the neonates, the mean birthweight was 3 339.90 ± 429.98 grams and the number of low birthweight, macrosomia, SGA, and LGA were 28, 57, 48, and 95, respectively. Linear regression analysis indicated that the neonates born to lean mothers had a birthweight of 65.44 (95% confidence interval [95% CI]: – 130.57 – – 0.31) grams lower than that of the neonates born to mothers with normal weight significantly (t = – 1.97, P Conclusion Maternal BMI before pregnancy is associated with the birthweight in offspring. The pre-pregnancy overweight/obese women have an increased risk of to give a birth to a macrosomia and the risk is modified by maternal age, education and pregnancy history of the women.

Prenatal Alcohol Exposure and the Associated Risk of Elevated Blood Pressure: A Cross-sectional Analysis of 3- to 17-Year-Olds in Germany.

As the prevalence of obesity and high blood pressure increases among the population, early action is needed to reduce blood pressure. Certain lifestyles during pregnancy have negative effects resulting in high blood pressure for children and adolescents. Using data from the "German Health Interview and Examination Survey for Children and Adolescents" (KiGGS), this study analyzed: (i) the association between low-to-moderate prenatal alcohol exposure (PAE) and the risk of increased systolic and diastolic blood pressure and (ii) whether associations were modified by socioeconomic status (SES), prenatal smoke exposure (PSE), and body mass index (BMI) of the children and adolescents. We applied multivariate logistic regression analyses and stratified analyses by SES, PSE, and BMI with cross-sectional data from the KiGGS study (N = 14,253) to examine the association between PAE and prehypertension or hypertension in 3- to 17-year-olds. Of the surveyed children and adolescents, 13.7% had a systolic prehypertension and 11.5% had a diastolic prehypertension. A further 7.5% were identified as having systolic hypertension and 6.0% diastolic hypertension. In the regression analyses, PAE resulted in a decreased risk of systolic prehypertension (odds ratio [OR]: 0.83, 95% confidence interval [CI]: 0.70, 0.99) and diastolic prehypertension (OR: 0.82, 95% CI: 0.68, 0.98). Risk reductions were not significant in surveyed children and adolescents with hypertension. Interactions between PAE and SES, PSE, and offspring BMI were not significant. Contrary to our initial hypothesis, PAE reduces the risk of prehypertension. Animal studies suggest that vasodilation is induced by nitric oxide in small quantities of PAE.

Gestational diabetes mellitus, pre-gestational BMI and offspring BMI z-score during infancy and childhood: 2004 Pelotas Birth Cohort

ObjectiveGestational diabetes mellitus (GDM) affects a significant number of women. Evidence regarding the association between GDM and offspring body mass index (BMI) is unclear due to small samples and lack...

Male obesity effects on sperm and next-generation cord blood DNA methylation.

The prevalence of metabolic disorders, in particular obesity has dramatically increased worldwide. Genetic variants explain only a minor part of the obesity epidemic induced by physical inactivity and over-nutrition. Epidemiological studies in humans and animal models indicate that epigenetic changes associated with adverse parental and/or intrauterine factors may contribute to the missing heritability of metabolic disorders. Possible adverse paternal effects are likely transmitted by sperm to the next-generation. To investigate this hypothesis, we have systematically analyzed the effects of male body mass index (BMI) on sperm epigenome and its association with next-generation fetal cord blood (FCB) DNA methylation. Methylation levels of maternally imprinted (PEG1, PEG4, PEG5, and PEG10), paternally imprinted (H19-IG DMR, IGF2-DMR0, and MEG3-IG DMR) regions, and obesity-related non-imprinted HIF3A gene were quantified by bisulphite pyrosequencing in sperm samples of 294 human donors undergoing in vitro fertilization or intracytoplasmic sperm injection, and in 113 FCBs of the resulting offspring. Multivariable regression analyses revealed that MEG3 intergenic differentially methylated region (IG DMR) showed positive correlation between sperm methylation and donor’s BMI. A gender-specific correlation between paternal BMI and FCB methylation was observed for MEG3-IG DMR, HIF3A, and IGF2-DMR0. The former two genes displayed same directional nominal association (as sperm) between paternal BMI and FCB methylation in male offspring. Hypomethylation of IGF2-DMR0 with increased paternal BMI was observed in FCBs from female offsprings. Our results suggest that male obesity is nominally associated with modification of sperm DNA methylome in humans, which may affect the epigenome of the next-generation. Nevertheless, it is important to note that none of the associated p-values survived multiple testing adjustments. Future work should test the effect of associated methylation aberrations in the offspring as DNA methylation was shown to control expression and/or imprint establishment across the studied genes.

Exploring the role of genetic confounding in the association between maternal and offspring body mass index: evidence from three birth cohorts.

BackgroundMaternal 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.MethodsWe 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.ResultsPhenotypic 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.ConclusionsOffspring 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.

Associations of preconception Body Mass Index in women with PCOS and BMI and blood pressure of their offspring

Women with polycystic ovary syndrome (PCOS) have unfavorable metabolic profiles. Their offspring may be affected by such risks. The objective of the current study was to disclose associations between preconception health of these women and health of their offspring. 74 women diagnosed with PCOS according to the Rotterdam criteria were screened systematically before conception. Cardiovascular health of their offspring was assessed at 2.5–4 (n = 42) or at 6–8 years of age (n = 32). Multivariate linear regression analysis was performed with adjustments for potential confounders. In the primary analyses the association between preconception Body Mass index (BMI) and offspring BMI was evaluated. Secondly associations between preconception blood pressure, androgens, insulin-resistance (HOMA-IR), and LDL-cholesterol in women with PCOS and BMI and blood pressure of offspring were assessed. Results show that preconception BMI of women with PCOS was positively associated with sex- and age-adjusted BMI of their offspring at 6–8 years of age (β = 0.55 (95% CI: 0.12 to 0.97), p = .012). No other significant associations were found. In conclusion, our data suggest that preconception BMI in PCOS is significantly associated with offspring BMI at 6–8 year of age. If this suggestion could be confirmed this may provide an opportunity for improving the future health of these children.

Association between maternal pre-delivery body mass index and offspring overweight/obesity at 1 and 2 years of age among residents of a suburb in Taiwan.

BackgroundOverweight and obesity among children can cause metabolic syndrome in adulthood and are a significant public health issue. Some studies suggest that maternal pre-pregnancy body mass index (BMI) and excessive gestational weight gain during pregnancy are associated with overweight and obesity in offspring. However, it is difficult to collect information on accurate pre-pregnancy BMI and pregnancy weight gain for women living in areas where medical resources are scarce. Maternal pre-delivery BMI might be predictive of the risk of overweight and obesity among offspring of pregnant mothers living in suburban areas.MethodsWe retrospectively collected data on term neonates with appropriate weights for their gestational age born between April 2013 and October 2015. We excluded neonates with major congenital anomalies or diseases and incomplete data. Mothers with systemic diseases or drug abuse were also excluded. Offspring body weights and heights at 1- and 2-years-old were recorded. Maternal pre-delivery BMI was divided into following groups: <25, 25–29.9, and ≧30 kg/m2.ResultsWe included 261 mother-child pairs in this study. The BMIs of the offspring differed significantly among the three maternal pre-delivery BMI groups at the age of 2 years (15.18 ± 1.04, 15.83 ± 1.28, and 16.29 ± 1.61 kg/m2, p < 0.001, respectively). After adjusting for potential cofounders possibly affecting weight using multivariate linear regression, the children’s BMIs (adjusted 95% CI: 0.71 [0.31–1.11]; p = 0.001) and BMI percentiles (adjusted 95% CI 15.80 [7.32–24.28]; p < 0.001) at the age of 2 years were significantly higher in those born to mothers with pre-delivery BMIs of 25–29.9 kg/m2 compared to mothers with pre-delivery BMIs <25 kg/m2. Maternal pre-delivery BMI ≧30 kg/m2 was significantly associated with increased BMIs (adjusted 95% CI: 1.17 [0.72–1.63]; p < 0.001) and BMI percentiles (adjusted 95% CI: 23.48 [13.87–33.09]; p < 0.001) in their children. A maternal pre-delivery BMI of 27.16 kg/m2 was the optimal cut-off for predicting offspring overweight/obesity at the age of 2 years.DiscussionOur results indicate that the maternal pre-delivery BMI was significantly associated with offspring BMI and weight gain at the age of 2 years. A maternal pre-delivery BMI of 27.16 kg/m2 might be a useful predictor for estimating the risk of overweight or obesity in offspring at the age of 2 years.

Prenatal Tobacco Exposure and Accelerated Offspring Weight and Body Mass Index Trajectories in the First 3 Years of Life

Background: Prenatal tobacco exposure (maternal active and passive smoking) has been associated with childhood obesity. It is unclear whether this is directly attributable to in utero exposure, with a graded effect across exposure groupings, or to associated lifestyle factors. Methods: In 971 maternal-offspring pairs from the GUSTO cohort, maternal plasma cotinine at 26-28 weeks' gestation and smoking history were used to categorise mothers into prenatal tobacco exposure groups. Offspring anthropometry was obtained longitudinally from birth and at ages 3, 6, 9, 12, 15, 18, 24, 36 months (m). Multiple linear regression, mixed linear models and counterfactual-based analysis were conducted, adjusting for ethnicity, maternal age, education, 1st trimester BMI, parity and gestational age. Findings: All results were compared with unexposed offspring (undetectable maternal cotinine and no history of tobacco exposure). Infants with low maternal cotinine (0·17-13·99 ng/ml) had a similar birthweight, while those with high maternal cotinine (≥14ng/ml) had a lower birthweight [β(95%CI) -162·0g (-291·8,-32·2)]. Low maternal cotinine was associated with higher offspring weight z-score at 18m [0·24 SDs (0·01,0·47)] and 36m [0·27 SDs (0·03,0·52)], and higher BMI z-score at 6m and across 15-36m [36m: 0·45 SDs (0·20,0·70)]. Over the 36m period high maternal cotinine was associated with accelerated gain in weight zscore [0·17 SDs/year (0·03,0·31)]. There was a dose-dependent BMI z-score acceleration, with offspring of mothers with low and high cotinine showing 0·09 (0·01,0·17) SDs/year and 0·17 (0·02,0·32) SDs/year gain, respectively. The association of prenatal tobacco exposure with 36m BMI was not explained by reduced breast-feeding, poor diet and increased screen time. Interpretation: Avoiding even low levels of prenatal tobacco exposure may reduce the risk of early childhood obesity. In utero programming by tobacco exposure directly influences childhood BMI rather than through unhealthy childhood lifestyle factors. Funding Statement: Singapore's National Medical Research Council and Singapore Institute for Clinical Sciences, A*STAR. Declaration of Interests: KMG is supported by the UK Medical Research Council (MC_UU_12011/4), the National Institute for Health Research (NIHR Senior Investigator (NF-SI-0515-10042) and the NIHR Southampton Biomedical Research Centre) and the European Union (Erasmus+ Programme Early Nutrition eAcademy Southeast Asia-573651-EPP-1-2016-1- DE-EPPKA2-CBHE-JP). KMG, Y-SC, and YSL have received reimbursement for speaking at conferences sponsored by companies selling nutritional products. KMG, S-YC and Y-SC are part of an academic consortium that has received research funding from Abbott Nutrition, Nestec and Danone. The other authors have no financial or personal conflict of interest to declare. Ethics Approval Statement: The study was ethically-approved by the Institutional Review Boards of the KK Women’s and Children’s Hospital, and the National University Health System. Informed written consent was obtained from all participants

Associations of maternal gestational weight gain with the risk of offspring obesity and body mass index Z scores beyond the mean

PurposeWe 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. MethodsData 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. ResultsEleven 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. ConclusionsExcessive 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.

Maternal smoking during pregnancy and offspring body mass index and overweight: a systematic review and meta-analysis.

The present study aimed to conduct a systematic review and meta-analysis to evaluate the evidence on the association of maternal smoking during pregnancy with offspring body composition in childhood, adolescence and adulthood. MEDLINE, Web of Science and LILACS databases were searched. Reference lists were also screened. We included original studies, conducted in humans, that assessed the association of maternal smoking during pregnancy with offspring body mass index (BMI) and overweight in childhood, adolescence and adulthood, published through May 1st, 2018. A meta-analysis was used to estimate pooled effect sizes. The systematic review included 64 studies, of which 37 evaluated the association of maternal smoking during pregnancy with overweight, 13 with BMI, and 14 evaluated both outcomes. Of these 64 studies, 95 measures of effect were extracted and included in the meta-analysis. We verified that the quality of evidence across studies regarding maternal smoking in pregnancy and overweight and BMI of offspring to be moderate and low, respectively. Most studies (44 studies) were classified as moderate risk bias. Heterogeneity among studies included was high and, in the random-effects pooled analysis, maternal smoking during pregnancy increased the odds of offspring overweight (OR: 1.43, 95%CI: 1.35; 1.52) and mean difference of BMI (β: 0.31, 95%CI: 0.23; 0.39). In conclusion, offspring of mothers who smoked during pregnancy have higher odds of overweight and mean difference of BMI, and these associations persisted into adulthood.

Lifestyle, Diet and Body Mass Index in Offspring of Women with Pregestational and Gestational Diabetes

Offspring from women with diabetes have an increased risk for childhood obesity, which may be related to the abnormal intrauterine environment, genetic imprinting or current diet and lifestyle. We analyzed whether diet and lifestyle differ between offspring from women with either type 1, type 2 or gestational diabetes.

Relationship Between Maternal Pre-pregnancy Weight and Offspring Weight Strengthens as Children Develop: A Population-Based Retrospective Cohort Study.

BackgroundMaternal pre-pregnancy weight has been reported to be positively associated with offspring weight. The association between maternal weight and offspring weight might be explained by maternal lifestyle. We investigated the strength of the relationship between maternal body mass index (BMI) at the beginning of pregnancy and offspring BMI at several growth stages.MethodsThe source population was all eighth graders registered in all public schools in the city of Fukuroi, Japan, in 2012. Records of maternal anthropometry at the beginning of pregnancy were obtained from the Maternal and Child Health (MCH) Handbook. The height and body weight of each student were measured. A regression model was used to assess the association between maternal BMI z-score at the beginning of pregnancy and offspring BMI z-score at various ages.ResultsOf the source population, data from the MCH Handbook were obtained for 480 students. Among males, maternal BMI z-score was not associated with offspring BMI z-score at birth and at age 3 years but was associated with offspring BMI z-score at age 13 years (standardized regression coefficient (β) = 0.19; P < 0.01). Among females, maternal BMI z-score was associated with offspring BMI z-score at birth (β = 0.11; P < 0.05), at age 3 years (β = 0.22; P < 0.01) and at age 13 years (β = 0.51; P < 0.01).ConclusionsOur results suggest that the positive association between maternal weight at the beginning of pregnancy and offspring weight around puberty is stronger than that between maternal weight and offspring weight at birth. Maternal lifestyle may influence offspring weight in adolescence.

Association between parental body mass index and autism spectrum disorder: a systematic review and meta-analysis

Studies have examined the association between parental body mass index (BMI) and autism spectrum disorder (ASD) in offspring, with inconsistent results, especially regarding maternal obesity, overweight and underweight. Cochrane Library, EMBASE, PubMed and PsycINFO databases were searched up to March 2018 for relevant observational studies with no language restriction. Our literature search identified 13 eligible studies for meta-analysis (involving 943,293 children and 30,337 cases). For maternal BMI (13 studies), both maternal obesity [OR 1.41 (95% CI 1.19-1.67)] and maternal overweight [OR 1.16 (95% CI 1.05-1.27)] were significantly associated with ASD, while maternal underweight was not associated with ASD [OR 1.08 (95% CI 0.98-1.20)]. For paternal BMI (three studies), no association was found (paternal obesity: OR 1.28, 95% CI 0.94-1.74; overweight: OR 1.07, 95% CI 0.99-1.15; underweight: OR 1.12, 95% CI 0.87-1.44). Pooled estimates were robust in sensitivity analysis and subgroup analyses. Publication bias may exist for studies assessing maternal BMI and ASD risk, but the filled estimates were not altered. Relative to normal weight, maternal obesity and overweight were significantly associated with increased ASD risk, while maternal underweight was not associated with ASD. Although no association between paternal BMI and ASD was found, current evidence is limited (three studies). Future studies are warranted to address more confounding factors and to identify potential mediators of the association, but pre-pregnancy weight control is suggested.