Maternal Pre-pregnancy Body Mass Index Research Articles

The impact of prepregnancy body mass index on pregnancy and neonatal outcomes.

The obesity epidemic in the United States is continuing to worsen. Obesity is a known risk factor for pregnancy morbidity. However, many studies use the patient's body mass index (BMI) at the time of delivery, do not stratify by class of obesity, or utilize billing codes as the basis of their study, which are noted to be inaccurate. This study aims to investigate the prepregnancy BMI class specific risks for pregnancy and neonatal complications based on a prepregnancy BMI class. We conducted a retrospective cohort study of40,256 pregnant women with 55,202 singleton births between October 16, 2007 and December 3, 2023. We assessed the risk of pregnancy and neonatal morbidity based on the maternal prepregnancy BMI category. The primary outcome was composite maternal morbidity, including hypertensive disorders of pregnancy (i.e.,gestational hypertension [GHTN] and preeclampsia), and gestational diabetes mellitus (GDM), adjusted for pregestational diabetes mellitus and chronic hypertension (cHTN). Secondary maternal outcomes included preterm premature rupture of membranes (PPROM), preterm delivery (PTD<37 and <32weeks), induction of labor (IOL), cesarean delivery (CD), and postpartum hemorrhage (PPH). Neonatal outcomes included a composite adverse outcome (including stillbirth, intraventricular hemorrhage (IVH), hypoglycemia, respiratory distress syndrome [RDS], APGAR [Appearance, Pulse, Grimace, Activity, and Respiration] <7 at 5 min, and neonatal intensive care unit [NICU] admission), birthweight, fetal growth restriction (FGR), and macrosomia. Composite maternal morbidity (odds ratio [OR] 4.40,confidence interval [CI] 3.70-5.22 for class III obesity [BMI≥40.0 kg/m2] compared with normal BMI), hypertensive disorders of pregnancy (HDP), GDM, PTD, IOL, CD, PPH, neonatal composite morbidity, hypoglycemia, RDS, APGAR<7 at 5 min, NICU admission, and macrosomia showed a significant increasing test of trend among BMI classes. Increased BMI was protective for FGR. Our data provides BMI-class specific odds ratios (ORs) for adverse pregnancy outcomes. Increased BMI class significantly increases the risk of HDP, GDM, IOL, CD, composite adverse neonatal outcomes, and macrosomia, and decreases the risk of FGR. Attaining a healthier BMI category prior to conception may lower pregnancy morbidity.

Impact of Maternal Micronutrient Intake on Gestational Diabetes Risk: Results from Greece's BORN2020 Prospective Cohort Study.

Understanding how maternal micronutrient intake and dietary habits impact gestational diabetes mellitus (GDM) is crucial. Data from 797 pregnant women were prospectively analyzed to assess GDM status with the oral glucose tolerance test (OGTT). Nutritional intake was evaluated using a validated food frequency questionnaire (FFQ) across two periods: Period A, covering 6 months before pregnancy, and Period B, from pregnancy onset to mid-gestation (24 weeks). Micronutrient intakes were compared against the European Food Safety Authority (EFSA) dietary reference values (DRVs) and were used to estimate the mean adequacy ratio (MAR) to assess dietary adequacy. GDM was diagnosed in 14.7% (n = 117) of women with the characteristics of a higher mean maternal age (MA) and pre-pregnancy body mass index (BMI). Out of the 13 vitamins assessed, biotin, folate, niacin, and pantothenic acid were found significantly higher in the GDM group, as did iron, magnesium, manganese, phosphorus, and zinc from the 10 minerals. The results were influenced by the timing of the assessment. Importantly, MAR was higher during pregnancy and was found to increase the risk of GDM by 1% (95%CI: 1, 1.02). A sensitivity analysis revealed that reducing MAR significantly raised the GDM risk by 68% (95%CI: 1.02, 2.79). No association was revealed between adherence to the Mediterranean diet (MD) and GDM risk. These findings highlight areas for further investigation into whether dietary modifications involving these specific micronutrients could effectively influence GDM outcomes.

Investigation and Comparison of Maternal Pre-Pregnancy Body Mass Index Coupled with Gestational Weight Gain on Maternal-Fetal Complications Based on US and Chinese Guidelines: A Retrospective Study.

Compared to Western populations, Chinese and Asians possess distinct genetics, lifestyles, and dietary habits. They tend to have shorter stature, lower Body Mass Index (BMI), and higher body fat percentages than Western populations. The aim of this study was to compare disparities in maternal-fetal outcomes by combining pre-pregnancy BMI and gestational weight gain (GWG) based on distinct US and Chinese guidelines. A total of 2,271 pregnant women who received perinatal care at Fooyin University Hospital from 2016 to 2021 were included. Logistic regression analysis categorized women into twelve groups based on the two criteria to explore the relationships between BMI and GWG, and maternal-fetal outcomes. Among the subjects, only 23.2% and 21.8% women had a normal weight BMI and adequate GWG, based on US and Chinese criteria, respectively. As BMI and GWG increase, the likelihood of developing complications such as gestational diabetes, gestational hypertension or preeclampsia, Cesarean section, and Large for Gestational Age also rises. Conversely, underweight women with excessive GWG exhibited lower risk of preterm birth either by US or Chinese guidelines. Two criteria exhibited similar odds for investigated outcomes, except for gestational hypertension or preeclampsia. Women had more than double the odds of developing gestational hypertension or preeclampsia when using US criteria compared to Chinese criteria. Therefore, it is essential for Asian, especially Chinese women, to be aware of the differences in adverse outcomes such as gestational hypertension or preeclampsia when using US criteria.

Trial of Labor versus Repeat Cesarean Delivery in Individuals with Morbid Obesity after Previous Cesarean Delivery.

This study aimed to compare adverse neonatal outcomes associated with the trial of labor after cesarean (TOLAC) at term in pregnancies according to maternal prepregnancy body mass index (BMI; kg/m2) and the presence of previous vaginal delivery (VD). This was a repeated cross-sectional analysis of individuals with singleton, cephalic, and term deliveries with a history of one or two cesarean deliveries in the Linked Birth/Infant Death data from 2011 to 2020. Outcomes were examined according to the BMI category including BMI <30, 30 to 39.9, and 40 to 69.9 kg/m2. The primary outcome was a composite neonatal outcome, defined as any presence of neonatal death, neonatal intensive care unit admission, assisted ventilation, surfactant therapy, or seizures. Outcomes were compared between TOLAC and elective repeat cesarean delivery (eRCD) after stratifying by BMI category and previous VD. Log-binomial regression was performed to obtain adjusted relative risk (aRR) with 99% confidence intervals, controlling for covariates. Of 4,055,440 individuals, 2,627,131 had BMI <30 kg/m2, 1,108,278 had BMI 30 to 39.9 kg/m2, and 320,031 had BMI 40 to 69.9 kg/m2. In individuals with no previous VD, VD rates after TOLAC were 66.7, 57.2, and 48.1%, respectively. In individuals with previous VD, VD rates after TOLAC were 81.4, 74.7, and 67.3%, respectively. In individuals without previous VD, compared with those who had an eRCD, those who had TOLAC were more likely to experience composite neonatal outcomes in individuals with BMI < 30 kg/m2 (5.0 vs. 6.5%; aRR 1.33 [1.30-1.36]), BMI 30 to 39.9 kg/m2 (6.1 vs. 7.8%; aRR 1.29 [1.24-1.34]), and BMI 40 to 69.9 kg/m2 (8.2 vs. 9.0%; aRR 1.15 [1.07-1.23]). In individuals with previous VD, there was no difference in the composite neonatal outcomes in BMI < 30 kg/m2 (6.2 vs. 5.8%; aRR 0.98 [0.96-1.00]), BMI 30 to 39.9 kg/m2 (7.4 vs. 7.1%; aRR 0.99 [0.95-1.02]), and BMI 40 to 69.9 kg/m2 (9.4 vs. 8.7%; aRR 0.96 [0.91-1.02]). TOLAC among obese individuals could be offered in selected cases. · TOLAC among obese individuals could be offered selectively, despite their reduced likelihood of attempting or succeeding at it.. · Higher BMI individuals show decreased rates of both attempting and achieving successful TOLAC.. · Despite these trends, attempting TOLAC after a previous vaginal delivery does not heighten neonatal complications..

Effect of maternal pre-pregnancy body mass index and gestational weight gain on birth weight and gestational age: An observational cross-sectional study

Background: Studies show that pre-pregnancy body mass index (ppBMI) and gestational weight gain (GWG) are associated with birth weight (BW), gestational age (GA), and neonatal morbidities. Higher BW leads to metabolic syndrome. Preterm and low BW (LBW) have short and long-term morbidities. Monitoring ppBMI and GWG is necessary as these are modifiable risk factors for obesity. In this study, we revisited these findings in an Indian scenario. Aims and Objectives: The primary objective is to study the association of BW and GA with ppBMI and GWG. The secondary objective is to study the association of ppBMI and GWG with cesarean section (CS), infant size, and early neonatal intensive care unit (NICU) requirement. Materials and Methods: This observational cross-sectional study was conducted over 1 year with 230 mothers, after Institutional Ethics Committee approval and informed consent. Data were collected using predesigned pro forma and analyzed by SPSS. Digital weighing scales, stadiometer, and fenton growth charts were used. Results: We found a positive linear correlation of ppBMI and GWG with BW. Obesity and excess GWG were associated with higher BW, large for GA, CS, and NICU stay. Overweight had more CS. Underweight and less GWG had a greater risk of LBW, preterm, and NICU stay. Less GWG had more small for GA. Conclusion: GWG and ppBMI are determinants of BW, GA, and neonatal morbidities. Further studies should focus on exercise and nutrition in pregnant and reproductive age women so that healthy babies with low-risk of obesity, metabolic syndrome, and neurodevelopmental disabilities are born.

Association of prepregnancy body mass index and gestational weight gain trajectory with adverse pregnancy outcomes—a prospective cohort study in Shanghai

ObjectivesThe objective was to investigate the associations of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) trajectories with adverse pregnancy outcomes (APOs).DesignThis was a prospective cohort study.SettingThis...

Sleep duration is associated with appetitive traits in school-age years – results from the Generation XXI birth cohort

Sleep may influence appetite regulation through physiological and neurocognitive pathways. However, the association between sleep and appetite in childhood has been scarcely reported, particularly using a prospective design. We aimed to test associations between sleep duration at 7 years of age (y) and appetitive traits at both 7 and 10 y. Participants are from the population-based cohort Generation XXI (Porto, Portugal), at 7 (n=2437) and 10 y (n=1938) follow-ups. Data on sleep was gathered at 7 y and, considering bedtime and get-up time, total mean sleep duration was calculated and further categorized according to the 10th and 90th percentiles. Appetitive traits were assessed at 7 and 10 y using the parent-reported Children`s Eating Behaviour Questionnaire. Associations were tested through Generalized Linear Models (co-variates: child`s sex; maternal age, education and pre-pregnancy body mass index at 7 y). At 10 y, associations were further adjusted for the respective appetitive trait at 7 y. Children slept a mean of 10.2 hours/night, and 13% and 9% slept ≤9.5 and ≥11.0 hours/night at 7 y, respectively. For each additional hour in sleep duration, children scored 0.078 (99%CI: -0.145; -0.011) lower on Food Responsiveness, 0.065 (99%CI: -0.129; -0.002) lower on Emotional Undereating and 0.096 (99%CI: -0.161; -0.032) lower on Food Fussiness. Lastly, children sleeping ≤9.5 hours/night scored higher on Food Responsiveness (β=0.145 99%CI: 0.020; 0.271); while those sleeping ≥11.0 hours/night scored lower on Food Fussiness (β=-0.255 99%CI: -0.370; -0.079). No significant prospective associations were found. In conclusion, in 7 y children, sleep duration was cross-sectionally associated with lower scores on food approach (Food Responsiveness) and avoidant traits (Emotional Undereating and Food Fussiness). However, the magnitude of the associations was small and further studies are warranted.

Associations between maternal pre-pregnancy BMI and infant striatal mean diffusivity

BackgroundIt is well-established that parental obesity is a strong risk factor for offspring obesity. Further, a converging body of evidence now suggests that maternal weight profiles may affect the developing offspring’s brain in a manner that confers future obesity risk. Here, we investigated how pre-pregnancy maternal weight status influences the reward-related striatal areas of the offspring’s brain during in utero development.MethodsWe used diffusion tensor imaging to quantify the microstructure of the striatal brain regions of interest in neonates (N = 116 [66 males, 50 females], mean gestational weeks at birth [39.88], SD = 1.14; at scan [43.56], SD = 1.05). Linear regression was used to test the associations between maternal pre-pregnancy body mass index (BMI) and infant striatal mean diffusivity.ResultsHigh maternal pre-pregnancy BMI was associated with higher mean MD values in the infant’s left caudate nucleus. Results remained unchanged after the adjustment for covariates.ConclusionsIn utero exposure to maternal adiposity might have a growth-impairing impact on the mean diffusivity of the infant’s left caudate nucleus. Considering the involvement of the caudate nucleus in regulating eating behavior and food-related reward processing later in life, this finding calls for further investigations to define the prognostic relevance of early-life caudate nucleus development and weight trajectories of the offspring.

Triglyceride-glucose index in early pregnancy predicts the risk of gestational diabetes: a prospective cohort study

ObjectiveThis study aimed to investigate the association between the triglyceride-glucose (TyG) index in early pregnancy and the development of gestational diabetes mellitus (GDM) in the second trimester. The primary objectives were to evaluate the predictive potential of the TyG index for GDM, determine the optimal threshold value of the TyG index for GDM assessment, and compare the predictive performance of the TyG index alone versus its combination with maternal age and pre-pregnancy body mass index on GDM. Moreover, the study explored the association between the TyG index in early pregnancy and the risk of other pregnancy-related complications (PRCs), such as placental abruption and gestational hypertension.Patients and methodsThis prospective cohort study recruited 1,624 pregnant women who underwent early pregnancy antenatal counseling and comprehensive assessments with continuous monitoring until delivery. To calculate the TyG index, health indicators, including maternal triglycerides and fasting plasma glucose, were measured in early pregnancy (< 14 weeks of gestation). The predictive power of the TyG index for evaluating GDM in Chinese pregnant women was determined using multifactorial logistic regression to derive the odds ratios and 95% confidence interval (CI). Subgroup analyses were conducted, and the efficacy of the TyG index in predicting PRCs was assessed via receiver operating characteristic (ROC) curve analysis and restricted cubic spline, with the optimal cutoff value calculated.ResultsLogistic regression analyses revealed a 2.10-fold increase in the GDM risk for every 1-unit increase in the TyG index, after adjusting for covariates. The highest GDM risk was observed in the group with the highest TyG index compared with the lowest quintile group (odds ratios: 3.25; 95% CI: 2.23–4.75). Subgroup analyses indicated that exceeding the recommended range of gestational weight gain and an increased GDM risk were significantly associated (P = 0.001). Regarding predictive performance, the TyG index exhibited the highest area under the curve (AUC) value in the ROC curve for GDM (AUC: 0.641, 95% CI: 0.61–0.671). The optimal cutoff value was 8.890, with both sensitivity and specificity of 0.617.The combination of the TyG index, maternal age, and pre-pregnancy body mass index proved to be a superior predictor of GDM than the TyG index alone (AUC: 0.672 vs. 0.641, P < 0.01). After adjusting for multiple factors, the analyses indicated that the TyG index was associated with an increased risk of gestational hypertension. However, no significant association was noted between the TyG index and the risk of preeclampsia, placental abruption, intrauterine distress, or premature rupture of membranes.ConclusionThe TyG index can effectively identify the occurrence of GDM in the second trimester, aligning with previous research. Incorporating the TyG index into routine clinical assessments of maternal health holds significant practical implications. Early identification of high-risk groups enables healthcare providers to implement timely interventions, such as increased monitoring frequency for high-risk pregnant women and personalized nutritional counseling and health education. These measures can help prevent or alleviate potential maternal and infant complications, thereby enhancing the overall health outcomes for both mothers and babies.

Breastfeeding moderates the association of maternal pre-pregnancy nutritional status with offspring body composition at 30 years.

Maternal pre-pregnancy body mass index is positively associated with offspring obesity, even at adulthood, whereas breastfeeding decreases the risk of obesity. The present study was aimed at assessing whether breastfeeding moderates the association of maternal pre-pregnancy body mass index with offspring body composition at adulthood, using data from 3439 subjects enrolled in a southern Brazilian birth cohort. At 30 years of age, maternal pre-pregnancy body mass index was positively associated with offspring prevalence of obesity, abdominal obesity, as well as body mass index and fat and lean mass index. Breastfeeding moderated the association of maternal pre-pregnancy obesity with offspring adiposity at 30 years of age. For those breastfed<6 months, body mass index was 4.13 kg/m2 (95% confidence interval: 2.98; 5.28) higher among offspring of obese mothers, in relation to offspring of normal weight mothers, whereas among those breastfed≥6 months the magnitude of the difference was small [2.95 kg/m2 (95% confidence interval: 1.17; 4.73)], p-value for interaction = 0.03. Concerning obesity, among those who had been breastfed < 6 months, the prevalence of obesity was 2.56 (95% confidence interval: 1.98; 3.31) times higher among offspring of obese mothers. On the other hand, among those who were breastfed ≥ 6 months, the prevalence of obesity was 1.82 (95% confidence interval: 1.09; 3.04) times higher among offspring of obese mothers. Therefore, among overweight mothers breastfeeding for more than 6 months should be supported, as it may mitigate the consequences of maternal overweight on offspring body composition.

Obesity risk in young adults from the Jerusalem Perinatal Study (JPS): the contribution of polygenic risk and early life exposure.

The effects of early life exposures on offspring life-course health are well established. This study assessed whether adding early socio-demographic and perinatal variables to a model based on polygenic risk score (PRS) improves prediction of obesity risk. We used the Jerusalem Perinatal study (JPS) with data at birth and body mass index (BMI) and waist circumference (WC) measured at age 32. The PRS was constructed using over 2.1M common SNPs identified in genome-wide association study (GWAS) for BMI. Linear and logistic models were applied in a stepwise approach. We first examined the associations between genetic variables and obesity-related phenotypes (e.g., BMI and WC). Secondly, socio-demographic variables were added and finally perinatal exposures, such as maternal pre-pregnancy BMI (mppBMI) and gestational weight gain (GWG) were added to the model. Improvement in prediction of each step was assessed using measures of model discrimination (area under the curve, AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI). One standard deviation (SD) change in PRS was associated with a significant increase in BMI (β = 1.40) and WC (β = 2.45). These associations were slightly attenuated (13.7-14.2%) with the addition of early life exposures to the model. Also, higher mppBMI was associated with increased offspring BMI (β = 0.39) and WC (β = 0.79) (p < 0.001). For obesity (BMI ≥ 30) prediction, the addition of early socio-demographic and perinatal exposures to the PRS model significantly increased AUC from 0.69 to 0.73. At an obesity risk threshold of 15%, the addition of early socio-demographic and perinatal exposures to the PRS model provided a significant improvement in reclassification of obesity (NRI, 0.147; 95% CI 0.068-0.225). Inclusion of early life exposures, such as mppBMI and maternal smoking, to a model based on PRS improves obesity risk prediction in an Israeli population-sample.

Maternal Obesity and Neonatal Metabolic Health: Insights Into Insulin Resistance.

Background Maternal obesity is a global health concern that leads to metabolic alterations in the offspring, making them vulnerable to metabolic disorders in adulthood. Early identification of such neonates would provide opportunities to positively alter modifiable risk factors for non-communicable diseases (NCDs) to prevent their occurrence later in life. Objectives This study aimed to assess and contrast insulin resistance (IR) levels in neonates born to mothers with obesity and those born to healthy, non-obese mothers. Methods This case-control study was conducted after approval from the institutional ethics committee. A total of 98 healthy, non-obese pregnant females were included in Group 1, and 68 obese pregnant females were included in Group 2. The participants were followed up until delivery and cord blood samples were collected after delivery. Neonatal glucose and insulin concentrations were estimated, and indices of IR such as homeostatic model assessment for insulin resistance (HOMA-IR), quantitative insulin-sensitivity check index (QUICKI), and glucose-to-insulin ratio were calculated. Neonatal IR indices and anthropometric measurements were compared between the groups using the Z test and correlated with the maternal pre-pregnancy body mass index (BMI) using Pearson's correlation. Additionally, Pearson's correlations were examined between neonatal IR indices and anthropometric measurements. Statistical significance was set at p <0.05. Results Neonates in Group 2 exhibited significantly higher anthropometric parameters and IR indices than those in Group 1. A statistically significant positive correlation was identified between maternal pre-pregnancy BMI, neonatal anthropometric parameters, and IR. Furthermore, a statistically significant positive correlation was observed between neonatal IR and the anthropometric parameters. Conclusion Neonates born to obese mothers exhibited higher anthropometric parameters and insulin resistance than those born to non-obese, healthy mothers. Assessment of IR at birth can help identify neonates who are at higher risk of developing NCD in later life. Timely promotion of a healthy lifestyle can reduce the occurrence of NCDs in later life.

The impact of isolated obesity compared with obesity and other risk factors on risk of stillbirth: a retrospective cohort study.

Maternal obesity is associated with stillbirth, but uncertainty persists around the effects of higher obesity classes. We sought to compare the risk of stillbirth associated with maternal obesity alone versus maternal obesity and additional or undiagnosed factors contributing to high-risk pregnancy. We conducted a retrospective cohort study using the Better Outcomes Registry and Network (BORN) for singleton hospital births in Ontario between 2012 and 2018. We used multivariable Cox proportional hazard regression and logistic regression to evaluate the relationship between prepregnancy maternal body mass index (BMI) class and stillbirth (reference was normal BMI). We treated maternal characteristics and obstetrical complications as independent covariates. We performed mediator analyses to measure the direct and indirect effects of BMI on stillbirth through major common-pathway complications. We used fully adjusted and partially adjusted models, representing the impact of maternal obesity alone and maternal obesity with other risk factors on stillbirth, respectively. We analyzed data on 681 178 births between 2012 and 2018, of which 1956 were stillbirths. Class I obesity was associated with an increased incidence of stillbirth (adjusted hazard ratio [HR] 1.55, 95% confidence interval [CI] 1.35-1.78). This association was stronger for class III obesity (adjusted HR 1.80, 95% CI 1.44-2.24), and strongest for class II obesity (adjusted HR 2.17, 95% CI 1.83-2.57). Plotting point estimates for odds ratios, stratified by gestational age, showed a marked increase in the relative odds for stillbirth beyond 37 weeks' gestation for those with obesity with and without other risk factors, compared with those with normal BMI. The impact of potential mediators was minimal. Maternal obesity alone and obesity with other risk factors are associated with an increased risk of stillbirth. This risk increases with gestational age, especially at term.

Early feeding and nutritional status of Portuguese children in the first 36 months of life: EPACI Portugal 2012-a national representative cross-sectional study.

Early feeding practices have a critical role in the future not only in health but also in modulating eating habits. This study aimed to assess breastfeeding and complementary feeding practices and the nutritional status of Portuguese toddlers aged 0-36 months. EPACI Portugal 2012 is a cross-sectional study of a national representative sample. Trained interviewers collected data about early feeding practices and anthropometrics. Body mass index was classified according to World Health Organization criteria. Frequencies and survival analysis were used to characterize variables. More than 90% of children were initiated breastfeeding, around 20% were exclusively breastfed for six months, and about 20% were breastfed at 12 months while complementary feeding was taking place. Exclusive breastfeeding was determined by maternal prepregnancy body mass index (HR 1.01; 95% CI 1.00, 1.03, P=.03) and low birth weight (HR 1.61; IC 95% 1.21, 2.15, P=.001) of the infants. About 90% were initiated complementary feeding between four and six months, and almost 10% were introduced to cow's milk before 12 months. In the second year of life, 83.2% and 61.6% of toddlers have already consumed nectars and sweet desserts, respectively. About one-third of Portuguese toddlers showed a body mass index z-score >1, and 6.6% were overweight/obese (z-score >2). No association was found between the duration of breastfeeding or timing of complementary feeding and the body mass index z-score in children. Despite the low prevalence of exclusive breastfeeding at six months, Portuguese infants effectively comply with dietary recommendations during the first year of life. The transition to the family diet must be carefully made. There is a high prevalence of Portuguese toddlers at least at overweight risk. The duration of breastfeeding or timing of complementary feeding was not associated with the expression of overweight/obesity.

Association of maternal pre-pregnancy or first trimester body mass index with neurodevelopmental impairment or death in extremely low gestational age neonates.

To compare the rates of death or survival with severe neurodevelopmental impairment (sNDI) at 2 years among extremely preterm infants in relation to pre-pregnancy or first-trimester maternal body mass index (BMI). This retrospective cohort study included extremely preterm infants (gestational age 220/7-266/7 weeks). The study was conducted at National Institute of Child Health and Human Development Neonatal Research Network sites. The primary outcome was death or sNDI at 2 years. Data on the primary outcome were available for 1208 children. Death or sNDI was not different among the three groups: 54.9% in normal, 56.1% in overweight, and 53.4% in obese group (p = 0.39). There was no significant difference in mortality, sNDI, moderate/severe cerebral palsy, Bayley Scales of Infant Development (BSID)-III cognitive composite score <70, BSID-III language composite score <70 in adjusted models. Neurodevelopmental outcome was not significantly associated with maternal pre-pregnancy BMI among extreme preterm infants.

Pre-labor and post-labor cesarean delivery and early childhood adiposity in the Canadian Healthy Infant Longitudinal Development (CHILD) Cohort Study.

Delivery by cesarean section (CS) compared to vaginal delivery has been associated with increased risk of overweight in childhood. Our study examined if the presence or absence of labor events in CS delivery altered risk of overweight in early childhood (1-5 years) compared to vaginal delivery and if this association differed according to infant sex. The study included 3073 mother-infant pairs from the CHILD Cohort Study in Canada. Data from birth records were used to categorize infants as having been vaginally delivered, or delivered by CS, with or without labor events. Age and sex adjusted weight-for-length (WFL) and body mass index (BMI) z scores were calculated from height and weight data from clinic visits at 1, 3 and 5 years and used to classify children as overweight. Associations between delivery mode and child overweight at each timepoint were assessed using regression models, adjusting for relevant confounding factors including maternal pre-pregnancy BMI. Effect modification by infant sex was tested. One in four infants (24.6%) were born by CS delivery; 13.0% involved labor events and 11.6% did not. Infants born by CS without labor had an increased odds of being overweight at age 1 year compared to vaginally delivered infants after adjustment for maternal pre-pregnancy BMI, maternal diabetes, smoking, infant sex and birthweight-for-gestational age (aOR 1.68 [95% CI 1.05-2.67]). These effects did not persist to 3 or 5 years of age and, after stratification by sex, were only seen in boys (aOR at 1 year 2.21 [95% CI 1.26-3.88]). Our findings add to the body of evidence that CS, in particular CS without labor events, may be a risk factor for overweight in early life, and that this association may be sex-specific. These findings could help to identify children at higher risk for developing obesity.

Integrating multiple lines of evidence to assess the effects of maternal BMI on pregnancy and perinatal outcomes

BackgroundHigher maternal pre-pregnancy body mass index (BMI) is associated with adverse pregnancy and perinatal outcomes. However, whether these associations are causal remains unclear.MethodsWe explored the relation of maternal pre-/early-pregnancy BMI with 20 pregnancy and perinatal outcomes by integrating evidence from three different approaches (i.e. multivariable regression, Mendelian randomisation, and paternal negative control analyses), including data from over 400,000 women.ResultsAll three analytical approaches supported associations of higher maternal BMI with lower odds of maternal anaemia, delivering a small-for-gestational-age baby and initiating breastfeeding, but higher odds of hypertensive disorders of pregnancy, gestational hypertension, preeclampsia, gestational diabetes, pre-labour membrane rupture, induction of labour, caesarean section, large-for-gestational age, high birthweight, low Apgar score at 1 min, and neonatal intensive care unit admission. For example, higher maternal BMI was associated with higher risk of gestational hypertension in multivariable regression (OR = 1.67; 95% CI = 1.63, 1.70 per standard unit in BMI) and Mendelian randomisation (OR = 1.59; 95% CI = 1.38, 1.83), which was not seen for paternal BMI (OR = 1.01; 95% CI = 0.98, 1.04). Findings did not support a relation between maternal BMI and perinatal depression. For other outcomes, evidence was inconclusive due to inconsistencies across the applied approaches or substantial imprecision in effect estimates from Mendelian randomisation.ConclusionsOur findings support a causal role for maternal pre-/early-pregnancy BMI on 14 out of 20 adverse pregnancy and perinatal outcomes. Pre-conception interventions to support women maintaining a healthy BMI may reduce the burden of obstetric and neonatal complications.FundingMedical Research Council, British Heart Foundation, European Research Council, National Institutes of Health, National Institute for Health Research, Research Council of Norway, Wellcome Trust.

Associations of polymetabolic risk of high maternal pre-pregnancy body mass index with pregnancy complications, birth outcomes, and early childhood neurodevelopment: findings from two pregnancy cohorts

BackgroundA substantial proportion of maternal pregnancy complications, adverse birth outcomes and neurodevelopmental delay in children may be attributable to high maternal pre-pregnancy Body Mass Index (BMI). However, BMI alone is insufficient for the identification of all at-risk mothers and children as many women with non-obesity(< 30 kg/m2) or normal weight(18.5–24.99 kg/m2) and their children may suffer from adversities. Evidence suggests that BMI-related metabolic changes during pregnancy may predict adverse mother–child outcomes better than maternal anthropometric BMI.MethodsIn a cohort of 425 mother–child dyads, we identified maternal BMI-defined metabolome based on associations of 95 metabolic measures measured three times during pregnancy with maternal pre-pregnancy BMI. We then examined whether maternal BMI-defined metabolome performed better than anthropometric BMI in predicting gestational diabetes, hypertensive disorders, gestational weight gain (GWG), Caesarian section delivery, child gestational age and weight at birth, preterm birth, admission to neonatal intensive care unit (NICU), and childhood neurodevelopment. Based on metabolic measures with the highest contributions to BMI-defined metabolome, including inflammatory and glycolysis-related measures, fatty acids, fluid balance, ketone bodies, lipids and amino acids, we created a set of maternal high BMI-related polymetabolic risk scores (PMRSs), and in an independent replication cohort of 489 mother–child dyads tested their performance in predicting the same set of mother–child outcomes in comparison to anthropometric BMI.ResultsBMI-defined metabolome predicted all of the studied mother–child outcomes and improved their prediction over anthropometric BMI, except for gestational hypertension and GWG. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarian section delivery, admission to NICU, lower gestational age at birth, lower cognitive development score of the child, and improved their prediction over anthropometric BMI. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarean section delivery, NICU admission and child’s lower gestational age at birth even at the levels of maternal non-obesity and normal weight.ConclusionsMaternal BMI-defined metabolome improves the prediction of pregnancy complications, birth outcomes, and neurodevelopment in children over anthropometric BMI. The novel, BMI-related PMRSs generated based on the BMI-defined metabolome have the potential to become biomarkers identifying at-risk mothers and their children for timely targeted interventions even at the level of maternal non-obesity and normal weight.

Maternal Diabetes and Overweight and Congenital Heart Defects in Offspring

Maternal diabetes and overweight or obesity are known to be associated with increased risk of congenital heart defects (CHDs) in offspring, but there are no large studies analyzing outcomes associated with these factors in 1 model. To investigate the association of maternal diabetes and overweight or obesity with CHDs among offspring in 1 model. This nationwide, population-based register study was conducted in a birth cohort from Finland consisting of all children born between 2006 and 2016 (620 751 individuals) and their mothers. Data were analyzed from January 2022 until November 2023. Maternal prepregnancy body mass index (BMI; calculated as weight in kilograms divided by height in meters squared), categorized as underweight (<18.5), normal (18.5-24.9), overweight (25.0-29.9), and obesity (≥30), was assessed. Maternal diabetes status, classified as no diabetes, type 1 diabetes (T1D), type 2 or other diabetes, and gestational diabetes, was assessed. Odds ratios (ORs) of isolated CHDs in children were found. In addition, 9 anatomical CHD subgroups were studied. Of 620 751 children (316 802 males [51.0%]; 573 259 mothers aged 20-40 years [92.3%]) born in Finland during the study period, 10 254 children (1.7%) had an isolated CHD. Maternal T1D was associated with increased odds of having a child with any CHD (OR, 3.77 [95% CI, 3.26-4.36]) and 6 of 9 CHD subgroups (OR range, 3.28 [95% CI, 1.55-6.95] for other septal defects to 7.39 [95% CI, 3.00-18.21] for transposition of great arteries) compared with no maternal diabetes. Maternal overweight was associated with left ventricular outflow tract obstruction (OR, 1.28 [95% CI, 1.10-1.49]) and ventricular septal defects (OR, 0.92 [95% CI, 0.86-0.98]), and obesity was associated with complex defects (OR, 2.70 [95% CI, 1.14-6.43]) and right outflow tract obstruction (OR, 1.31 [95% CI, 1.09-1.58]) compared with normal maternal BMI. This study found that maternal T1D was associated with increased risk for most types of CHD in offspring, while obesity and overweight were associated with increased risk for complex defects and outflow tract obstruction and decreased risk for ventricular septal defects. These different risk profiles of T1D and overweight and obesity may suggest distinct underlying teratogenic mechanisms.

Maternal pre-pregnancy body mass index and risk of preterm birth: a collaboration using large routine health datasets

BackgroundPreterm birth (PTB) is a leading cause of child morbidity and mortality. Evidence suggests an increased risk with both maternal underweight and obesity, with some studies suggesting underweight might be a greater factor in spontaneous PTB (SPTB) and that the relationship might vary by parity. Previous studies have largely explored established body mass index (BMI) categories. Our aim was to compare associations of maternal pre-pregnancy BMI with any PTB, SPTB and medically indicated PTB (MPTB) among nulliparous and parous women across populations with differing characteristics, and to identify the optimal BMI with lowest risk for these outcomes.MethodsWe used three UK datasets, two USA datasets and one each from South Australia, Norway and Denmark, together including just under 29 million pregnancies resulting in a live birth or stillbirth after 24 completed weeks gestation. Fractional polynomial multivariable logistic regression was used to examine the relationship of maternal BMI with any PTB, SPTB and MPTB, among nulliparous and parous women separately. The results were combined using a random effects meta-analysis. The estimated BMI at which risk was lowest was calculated via differentiation and a 95% confidence interval (CI) obtained using bootstrapping.ResultsWe found non-linear associations between BMI and all three outcomes, across all datasets. The adjusted risk of any PTB and MPTB was elevated at both low and high BMIs, whereas the risk of SPTB was increased at lower levels of BMI but remained low or increased only slightly with higher BMI. In the meta-analysed data, the lowest risk of any PTB was at a BMI of 22.5 kg/m2 (95% CI 21.5, 23.5) among nulliparous women and 25.9 kg/m2 (95% CI 24.1, 31.7) among multiparous women, with values of 20.4 kg/m2 (20.0, 21.1) and 22.2 kg/m2 (21.1, 24.3), respectively, for MPTB; for SPTB, the risk remained roughly largely constant above a BMI of around 25–30 kg/m2 regardless of parity.ConclusionsConsistency of findings across different populations, despite differences between them in terms of the time period covered, the BMI distribution, missing data and control for key confounders, suggests that severe under- and overweight may play a role in PTB risk.