Maternal Pre-pregnancy BMI Research Articles

Maternal Prepregnancy Body Mass Index and Risk of Preterm Birth: The Role of Weight Gain during Pregnancy, Race, and Ethnicity.

Preterm birth (PTB) is one of the leading causes of infant and neonatal mortality. Prepregnancy body mass index (BMI; kg/m2) has been linked to PTB but the evidence of this association by weight gain during pregnancy, race, and ethnicity is limited. This study aimed to assess the association between maternal prepregnancy BMI and PTB stratified by weight gain during pregnancy, race, and ethnicity. The U.S. natality data from 2017 to 2021 were used. In this analysis, we included mothers who had a live singleton birth and available data for prepregnancy BMI, gestational age at birth, weight gain during pregnancy, race, and ethnicity. Logistic regression models were used to assess the association between prepregnancy BMI categories and PTB stratified by weight gain during pregnancy, race, and ethnicity. A total of 17,311,509 singleton live births were included of which 1,393,889 (8.05 %) were PTBs. After adjusting for confounders, compared with normal prepregnancy BMI mothers (18.5-24.9), those with underweight BMI (<18.5) were at increased odds of PTB regardless of weight gain during pregnancy, race, and ethnicity. However, for mothers with a prepregnancy BMI above the normal weight (≥25), the association between prepregnancy BMI and PTB differs by weight gain during pregnancy, race, and ethnicity. Asian mothers with obesity II (35.0-39.9) had 93% (odds ratio [OR] = 1.93, 95% confidence interval [CI]: 1.62-2.30) increased odds of PTB for weight gain during pregnancy of 31 to 40 pounds. Their White, Hispanic, and Black counterparts experienced lower odds of PTB for similar weight gain during pregnancy (White: OR = 1.56, 95% CI: 1.51-1.60; Hispanic: OR = 1.48, 95% CI: 1.41, 1.54; and Black: OR = 1.22, 95% CI: 1.17-1.27). Mothers with underweight BMI were at increased risk of PTB regardless of weight gain during pregnancy, race, and ethnicity. However, the association between high prepregnancy BMI and PTB varied by weight gain during pregnancy, race, and ethnicity. · The association between prepregnancy BMI categories and PTB had a "J" shape, with lower odds in the normal weight group.. · Low prepregnancy BMI was associated with increased risk of PTB regardless of weight gain during pregnancy, race, and ethnicity.. · The association between high prepregnancy BMI and PTB varies by weight gain during pregnancy, race, and ethnicity..

Long-term impact of maternal pre-pregnancy BMI on the risk of overweight/obesity in preschool children: mediation by infant birth weight and BMI trajectory group from 0 to 2 years

BackgroundObesity is a complex multisystem disease that affects almost every organ system. Studying the early determinants of obesity and implementing targeted interventions have positive implications for promoting long-term health. Therefore, this study was to evaluate the impact of maternal pre-pregnancy overweight or obesity, weight gain rate (WGR) during the second and third trimesters, infant birth weight (IBW) and BMI trajectory group (BMI-TG) from 0 to 2 years on overweight or obesity in preschool children.MethodsA retrospective cohort analysis of data obtained from a hospital was performed using chain-mediated effects to analyze the direct and indirect effects of prepregnancy body mass index (ppBMI)on preschool children’s body mass index (pcBMI), and mediated by three variables: WGR, IBW and BMI-TG.ResultsWe found that the effect of ppBMI and pcBMI was significantly mediated by IBW and BMI-TG. After adjusting for confounding factors, the total effect of ppBMI on pcBMI was estimated to be 0.1965 (bootstrap 95% CI: 0.1154–0.2783), the direct effect was 0.1562 (bootstrap 95% CI: 0.0750–0.2362), and the indirect effect was 0.0403 (bootstrap 95% CI: 0.0219 ~ 0.0651). The mediating effect accounted for 20.5% of the variance, indicating that 20.5% of the impact of ppBMI on pcBMI was mediated by two mediating factors: IBW and the BMI-TG.ConclusionsMaternal overweight/obesity before pregnancy had a significant impact on overweight/obesity in preschool children and was mediated by two main factors: IBW and the BMI-TG.

The predictive utility of the in utero exposome for childhood adiposity in independent and integrated frameworks.

To assess the predictive potential of the in utero exposome in relation to childhood adiposity as indicated by body mass index z-scores (BMIz) and the fourth versus first quartile of % fat mass (FM) at median age of 4.6 years. We leveraged data on clinical risk factors for childhood obesity during the perinatal period, along with cord blood per/polyfluoroalkyl substances (PFAS) and cord blood DNA methylation, in 268 mother-offspring pairs. We used the sparsity ranked LASSO penalized regression framework for each outcome and assessed model performance based on % variability explained for BMIz and area under the receiver operating characteristic curve (AUC) for the fourth versus first quartile of %FM. We employed cross-validation for model tuning and split-sample validation for model evaluation. Mean ± SD BMIz was 0.01 ± 1.1, %FM was 19.8 ± 6.34%. The optimal model for predicting BMIz explained 19.1% of the variability in the validation set and included only clinical characteristics: maternal pre-pregnancy BMI, paternal BMI, gestational weight gain, physical activity during pregnancy and child race/ethnicity. The optimal model for fourth versus first quartiles of %FM achieved an AUC of 0.82 ± 0.01 in the validation set, with the clinical features again emerging as the strongest predictors. In this study sample, perinatal chemical exposures and the epigenome have low utility in predicting childhood adiposity, beyond known clinical risk factors.

Prenatal exposure to per- and polyfluoroalkyl substances (PFAS) and their influence on inflammatory biomarkers in pregnancy: Findings from the LIFECODES cohort

BackgroundPer- and polyfluoroalkyl substances (PFAS) are fluorinated chemicals linked to adverse pregnancy and birth outcomes. However, the underlying mechanisms, specifically their effects on maternal inflammatory processes, are not well characterized. ObjectiveWe examined associations between prenatal PFAS exposure and repeated measures of inflammatory biomarkers, including C-reactive protein (CRP) and four cytokines [Interleukin-10 (IL-10), IL-1β, IL-6, and tumor necrosis factor-α (TNF-α)]. MethodsWe analyzed data from 469 pregnant women in a nested case-control study of preterm birth at Brigham and Women’s Hospital in Boston, Massachusetts (2006–2008). We measured nine PFAS in early pregnancy plasma samples (median gestation: 10 weeks), with inflammatory biomarkers measured at median gestations of 10, 18, 26, and 35 weeks. We used linear mixed models for repeated measures and multivariable regression for visit-specific analysis to examine associations between each PFAS and inflammation biomarker, adjusting for maternal demographics, pre-pregnancy BMI, and parity. We examined the effects of PFAS mixture using sum of all PFAS (∑PFAS) and quantile-based g-computation approaches. ResultsWe observed consistent inverse associations between most PFAS and cytokines, specifically IL-10, IL-6, and TNF-α, in both single pollutant and mixture analyses. For example, an interquartile range increase in perfluorooctanesulfonic acid was associated with −10.87 (95% CI: −19.75, −0.99), −13.91 (95% CI: −24.11, −2.34), and −8.63 (95% CI: −14.51, −2.35) percent change in IL-10, IL-6, and TNF-α levels, respectively. Fetal sex, maternal race, and visit-specific analyses showed associations between most PFAS and cytokines were generally stronger in mid-pregnancy and among women who delivered males or identified as African American. ConclusionsThe observed suppression of both regulatory (IL-10) and pro-inflammatory (TNF-α) cytokines suggests that PFAS may alter maternal inflammatory processes or immune functions during pregnancy. Further research is needed to understand the effects of both legacy and newer PFAS on inflammatory pathways and their broader clinical implications.

Quantification of persistent organic pollutants in breastmilk and estimated infant intake, Norway.

Persistent organic pollutants (POPs) are environmental contaminants that can accumulate in human tissues and pose potential health risks. Despite global efforts to reduce their prevalence, follow-up studies are needed to see if the measures are successful. Since most infants in Norway are breastfed for the first 6 months of life, monitoring POP contamination in breastmilk is important for children's health and development. This study aims to evaluate the current levels of various POPs in women's breastmilk in Innlandet County, Norway. A cross-sectional study was conducted measuring concentrations of 35 different POPs, including polychlorinated biphenyls (PCBs), chlordanes (ChlDs), hexachlorocyclohexanes (HCHs), dichlorodiphenyltrichloroethanes (DDTs), Mirex, and brominated flame retardants in 120 breastmilk samples. The study analysed the impact of maternal age, parity, pre-pregnancy BMI, and infant age on POPs levels and compared the estimated daily intake per body weight of infants to existing health guidelines. The detected percentages for PCBs were 100%, for DDTs 98.3%, and for ChlDs 98.3%. The highest median concentration was found for ΣPCBs (26.9 ng/g lw). Maternal age, parity, and infant age were significant determinants of POP concentrations. Most infants exceeded the health-based guidance values for ΣPCB, and 6.4% percent did so for ΣHCHs. Despite lower POPs concentrations in breastmilk than in earlier studies, many breastfed infants are still exposed to levels exceeding health-based guidance values. Although the study's design had limitations, the study provides updated population-based data on POPs in breastmilk. Continued monitoring and research are necessary to understand and mitigate potential health risks associated with POPs.

The prospective associations of fetal growth-related pregnancy complications with subsequent breastfeeding duration and markers of human milk production

BackgroundThe development of the breast for lactation occurs throughout pregnancy. It is unknown whether pregnancy complications resulting in poor fetal growth can affect breastfeeding (BF) success. ObjectivesWe examined whether fetal growth-related pregnancy complications were associated with earlier BF cessation and changes in the concentrations of human milk biomarkers of low milk production. MethodsWe used data from the Growing Up in Singapore Toward Healthy Outcomes study (n = 954). Human milk concentrations of protein, lactose, citrate, sodium, potassium, and zinc at 3 wk postpartum were available for 180 mother-infant dyads. We examined the associations of fetal growth measures, including term infants born small-for-gestational-age (SGA) (<10th percentile), pregnancies complicated by fetal growth deceleration (second to third trimester fetal growth dropped between major centiles), elevated umbilical artery resistance (>90th percentile) or hypertensive disorders of pregnancy (HDP) with 1) risk of ceasing BF (Cox regression) and 2) concentrations of human milk components (weighted linear regression). ResultsAdjusting for maternal education, smoking exposure, BF intentions, and prepregnancy BMI (in kg/m2), individuals who delivered SGA infants and those with HDP were more likely to breastfeed for a shorter duration when compared to those with uncomplicated pregnancies {adjusted hazard ratio [95% confidence interval (CI)]: 1.45 (1.11, 1.89) and 1.61 (1.14, 2.29), respectively}; associations were nonsignificant for fetal growth deceleration and umbilical artery resistance. SGA was not associated with concentrations of human milk biomarkers, but compared to participants with uncomplicated pregnancies, milk produced by those with HDP contained lower zinc concentrations [adjusted β coefficient (95% CI): –0.56 mg/L (–1.08, –0.04) mg/L]. ConclusionsIndividuals with HDP and those with SGA infants tend to breastfeed for a shorter duration; however, only HDP appear to be associated with biomarkers of compromised milk production. Further research and support are needed to help individuals with HDP and SGA achieve their BF goals.This trial was registered at clinicaltrials.gov as NCT01174875.

Epigenome-wide meta-analysis of prenatal vitamin D insufficiency and cord blood DNA methylation

ABSTRACT Low maternal vitamin D concentrations during pregnancy have been associated with a range of offspring health outcomes. DNA methylation is one mechanism by which the maternal vitamin D status during pregnancy could impact offspring’s health in later life. We aimed to evaluate whether maternal vitamin D insufficiency during pregnancy was conditionally associated with DNA methylation in the offspring cord blood. Maternal vitamin D insufficiency (plasma 25-hydroxy vitamin D ≤ 75 nmol/L) during pregnancy and offspring cord blood DNA methylation, assessed using Illumina Infinium 450k or Illumina EPIC Beadchip, was collected for 3738 mother–child pairs in 7 cohorts as part of the Pregnancy and Childhood Epigenetics (PACE) consortium. Associations between maternal vitamin D and offspring DNA methylation, adjusted for fetal sex, maternal smoking, maternal age, maternal pre-pregnancy or early pregnancy BMI, maternal education, gestational age at measurement of 25(OH)D, parity, and cell type composition, were estimated using robust linear regression in each cohort, and a fixed-effects meta-analysis was conducted. The prevalence of vitamin D insufficiency ranged from 44.3% to 78.5% across cohorts. Across 364,678 CpG sites, none were associated with maternal vitamin D insufficiency at an epigenome-wide significant level after correcting for multiple testing using Bonferroni correction or a less conservative Benjamini–Hochberg False Discovery Rate approach (FDR, p > 0.05). In this epigenome-wide association study, we did not find convincing evidence of a conditional association of vitamin D insufficiency with offspring DNA methylation at any measured CpG site.

Sociodemographic and dietary predictors of maternal and placental mycoestrogen concentrations in a US pregnancy cohort.

Zearalenone (ZEN) is a mycotoxin contaminating grains and processed foods. ZEN alters nuclear estrogen receptor α/β signaling earning its designation as a mycoestrogen. Experimental evidence demonstrates that mycoestrogen exposure during pregnancy is associated with altered maternal sex steroid hormones, changes in placental size, and decreases in fetal weight and length. While mycoestrogens have been detected in human biospecimens worldwide, exposure assessment of ZEN in US populations, particularly during pregnancy, is lacking. To characterize urinary and placental concentrations of ZEN and its metabolites in healthy US pregnant people and examine demographic, perinatal, and dietary predictors of exposure. Urine samples were collected in each trimester from pregnant participants in the UPSIDE study and placenta samples were collected at delivery (Rochester, NY, n = 317). We used high performance liquid chromatography and high-resolution tandem mass spectrometry to measure total urinary (ng/ml) and placental mycoestrogens (ng/g). Using linear regression and linear mixed effect models, we examined associations between mycoestrogen concentrations and demographic, perinatal, and dietary factors (Healthy Eating Index [HEI], ultra-processed food [UPF] consumption). Mycoestrogens were detected in 97% of urines (median 0.323 ng/ml) and 84% of placentas (median 0.012 ng/g). Stability of urinary mycoestrogens across pregnancy was low (ICC: 0.16-0.22) and did not correlate with placental levels. In adjusted models, parity (multiparous) and pre-pregnancy BMI (higher) predicted higher urinary concentrations. Birth season (fall) corresponded with higher placental mycoestrogens. Dietary analyses indicated that higher HEI (healthier diets) predicted lower exposure (e.g., Σmycoestrogens %∆ -2.03; 95%CI -3.23, -0.81) and higher percent calories from UPF predicted higher exposure (e.g., Σmycoestrogens %∆ 1.26; 95%CI 0.29, 2.24). The mycotoxin, zearalenone (ZEN), has been linked to adverse health and reproductive impacts in animal models and livestock. Despite evidence of widespread human exposure, relatively little is known about predictors of exposure. In a pregnant population, we observed that maternal ZEN concentrations varied by maternal pre-pregnancy BMI and parity. Consumption of ultra-processed foods, added sugars, and refined grains were linked to higher ZEN concentrations while healthier diets were associated with lower levels. Our research suggests disparities in exposure that are likely due to diet. Further research is needed to understand the impacts of ZEN on maternal and offspring health.

Metabolomic Alterations Associated with Phthalate Exposures among Pregnant Women in Puerto Rico.

Although phthalate exposure has been linked with multiple adverse pregnancy outcomes, their underlying biological mechanisms are not fully understood. We examined associations between biomarkers of phthalate exposures and metabolic alterations using untargeted metabolomics in 99 pregnant women and 86 newborns [mean (SD) gestational age = 39.5 (1.5) weeks] in the PROTECT cohort. Maternal urinary phthalate metabolites were quantified using isotope dilution high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS), while metabolic profiles in maternal and cord blood plasma were characterized via reversed-phase LC-MS. Multivariable linear regression was used in metabolome-wide association studies (MWAS) to identify individual metabolic features associated with elevated phthalate levels, while clustering and correlation network analyses were used to discern the interconnectedness of biologically relevant features. In the MWAS adjusted for maternal age and prepregnancy BMI, we observed significant associations between specific phthalates, namely, di(2-ethylhexyl) phthalate (DEHP) and mono(3-carboxypropyl) phthalate (MCPP), and 34 maternal plasma metabolic features. These associations predominantly included upregulation of fatty acids, amino acids, purines, or their derivatives and downregulation of ceramides and sphingomyelins. In contrast, fewer significant associations were observed with metabolic features in cord blood. Correlation network analysis highlighted the overlap of features associated with phthalates and those identified as differentiating markers for preterm birth in a previous study. Overall, our findings underscore the complex impact of phthalate exposures on maternal and fetal metabolism, highlighting metabolomics as a tool for understanding associated biological processes. Future research should focus on expanding the sample size, exploring the effects of phthalate mixtures, and validating identified metabolic features in larger, more diverse populations.

The influence of exercise and BMI on food choices during pregnancy

BackgroundExercise is linked to health-conscious behaviors, such as healthy eating, through psychophysiological pathways that include improvements in executive functioning. The influence of exercise while pregnant on healthy eating is currently unknown. PurposeTo determine if there are differences in food choices of women who exercised (EX) or not (CON) during pregnancy, and if this differed by pre-pregnancy body mass index (BMI; normal weight, NW; overweight/obese, OWOB). MethodsThis study was a secondary analysis to examine the food frequency questionnaires (FFQs) of pregnant women randomized to 150 min/wk of EX (n = 72) or CON (n = 16). Maternal descriptors and pre-pregnancy BMI were collected at enrollment (≤16 weeks gestation). At enrollment and at 36 weeks gestation, women reported the frequency of specific food consumption across a range of food groups based on a Likert-scale ranging from 1-rarely or never eat the food to 5- eat the food more than once/day. ResultsOWOB EX increased consumption of nutrient-dense foods from enrollment to 36 weeks pregnancy and these results were not seen in OWOB CON and NW CON groups. Since FFQ is self-reported and captures a broad scope of habitual diet, it is important for future research in this area. ConclusionOverall, data in our study suggests that OWOB women who start exercising during pregnancy also improve their diet. Thus, future research should investigate how exercise may influence changes in nutrient intake during pregnancy.

Risk Factors for Failure of Second-Trimester Termination with Misoprostol as a Single Agent.

Background: Understanding the potential risk factors for failure of pregnancy termination is crucial for informed clinical decision making. Such insights can assist clinicians in adjusting the dosage or route of various regimens, as well as in counseling patients and predicting the likelihood of successful outcomes. However, research on these risk factors has been limited, and existing studies have yielded inconsistent results. To address this gap, we conducted a study with a large sample size, focusing on identifying the potential risk factors for failure of second-trimester termination using misoprostol as a single agent, specifically between 14 and 28 weeks of gestation. Methods: A secondary analysis based on a database of second-trimester terminations was conducted. The inclusion criteria were a singleton pregnancy, gestational age between 14 and 28 weeks, an unfavorable cervix, no spontaneous labor pain, intact membranes, and termination with misoprostol alone. Potential risk factors for failure of termination, defined as no abortion within 48 h, were analyzed using univariate and multivariate analyses. Results: A total of 1094 cases were included in the analysis, consisting of 991 successful cases and 103 (9.4%) cases of failure. The significant risk factors for failure of termination included early gestational age, live fetuses, sublingual regimen of 400 mcg every 6 h, and high maternal pre-pregnancy BMI. Previous cesarean sections and lower Bishop scores tended to increase the risk but did not reach a significant level. Conclusions: Second-trimester termination with misoprostol as a single agent was highly effective, with a failure rate of 9.4%. The risk factors for failure included gestational age, fetal viability, misoprostol regimen, and maternal pre-pregnancy BMI, suggesting that these factors should be taken into consideration for second-trimester terminations with misoprostol.

The Long-Term Associations of Perinatal Obesogenic Environment with Offspring Biological Aging.

Biological age (BA), reflecting aging-related health decline beyond chronological age, varies among individuals. While previous research explored associations of maternal pregnancy-related body size with offspring health outcomes, its implications for BA in young adults remain unclear. Utilizing longitudinal data of 1,148 mother-offspring pairs from the Jerusalem Perinatal Study, we analyzed associations of maternal pre-pregnancy BMI and gestational weight gain (GWG) with offspring Klemera-Doubal method (KDM)-based BA at age 32, and potential familial life-course underlying mechanisms. Maternal pregnancy-related body size, adjusted for sociodemographic/lifestyle factors was associated with offspring BA (βmaternal pre-pregnancy BMI=0.183,95%CI:0.098,0.267;βGWG=0.093,95%CI:0.021,0.165). Association of GWG with BA was largely direct (90%,95%CI,44%,100%), while association with maternal pre-pregnancy BMI was partially mediated through adolescent BMI (36%,95%CI=18%,75%), with both associations eliminated after adjustment for offspring adult BMI. Associations persisted after adjusting for offspring polygenic risk score for BMI (βmaternal pre-pregnancy BMI=0.128;95%CI=0.023,0.234; βGWG=0.102;95%CI=0.006,0.198), and somewhat altered after adjustment for maternal cardiometabolic conditions (βmaternal pre-pregnancy BMI=0.144,95%CI=0.059, 0.230). Impact on GWG associations was negligible. Thus, perinatal obesogenic environment contributes to offspring BA beyond sociodemographic factors and maternal cardiometabolic history, yet intergenerational transmission of obesity seems to underlie these associations. Nonetheless, the period between adolescence and young adulthood could be targeted for weight-reducing interventions, ultimately promoting healthy aging.

Revolutionizing Postpartum Hemorrhage Prediction with Insights from Iraq

Background: Postpartum hemorrhage (PPH) is a severe complication affecting women with gestational hypertension or preeclampsia, yet predictive models for PPH in this population remain underdeveloped. Specific Background: Existing studies have not adequately addressed the combined influence of antepartum and intrapartum factors on the predictability of PPH. Knowledge Gap: There is a lack of comprehensive models integrating both antepartum and intrapartum variables to predict PPH risk in women with gestational hypertension or mild preeclampsia. Aims: The study investigates the predictability of preeclampsia (PPH) in women with gestational hypertension or preeclampsia at term using logistic regression models incorporating both antepartum and intrapartum factors. Methods: The study, conducted in Karbala, Iraq, involved 1252 women with hypertension or preeclampsia, developed two logistic regression models, and assessed their predictive efficacy using receiver operating characteristic analysis and calibration techniques. Results: A study found that 168 participants (10.4%) experienced preterm pregnancies, with antepartum predictors including maternal age, pre-pregnancy BMI, and preeclampsia, and intrapartum factors like gestational age and labor duration. Novelty: The study introduces a novel predictive model for Pregnancy-Positive Hypertension (PPH) that integrates antepartum and intrapartum variables for risk assessment in high-risk populations. Implications: The study suggests that combining antepartum and intrapartum variables can improve risk stratification and preventive measures, requiring further refinement for improved maternal care outcomes. Highlights: Antepartum and intrapartum variables enhance PPH prediction accuracy. Model B outperforms antepartum-only model in predicting PPH. Results stress need for improved risk stratification and prevention strategies. Keywords: postpartum hemorrhage, gestational hypertension, preeclampsia, predictive modeling, logistic regression

Do maternal BMI and gestational weight gain equally affect the risk of infant hypoxic and traumatic events?

Small (SGA) and large (LGA) for gestational age infants have higher risks of infant morbidity when compared to those who are appropriate for gestational age (AGA). Increasing pre-pregnancy maternal BMI and gestational weight gain (GWG) are associated with higher risks of LGA and lower risks of SGA infants; however, their direct effects on infant morbidity are unknown. Therefore, we intended to 1) assess how maternal pre-pregnancy BMI, GWG, and birthweight (categorized as SGA, AGA or LGA) affect infant morbidity and 2) estimate at entry of care the risk of infant morbidity according to pre-pregnancy BMI and possible GWG. we used Consortium on Safe Labor data, a retrospective observational cohort study collecting pregnancy and birth data from 2002 to 2008 in 12 US centers. The association between maternal BMI, GWG and infant morbidity was estimated in singleton gestations delivering ≥ 37 weeks using binomial logistic regression. Hypoxic composite neonatal morbidity was defined as any the following: stillbirth, neonatal death, resuscitation at birth, NICU admission, intracranial hemorrhage, PVH grade III and IV, neonatal seizures, NEC, meconium aspiration, CPAP or mechanical ventilation, RDS, and sepsis. Traumatic composite neonatal morbidity included shoulder dystocia or birth injuries. In this study of 110,594 mother-infant dyads, a total of 8,369 (7.6%) infants experienced hypoxic, while 2,134 (1.9%) developed traumatic morbidity. The risk of hypoxic morbidity among SGA, AGA and LGA infants increased when mothers were overweight (aOR 1.26 [95%CI 1.18-1.34]) or obese (class 1: aOR 1.3 [1.2-1.4]; class 2: aOR 1.7 [1.5-1.9]; class 3: aOR 1.8 [1.6-2]) as opposed to normal weight, and when GWG exceeded (aOR 1.08 [1.02-1.014]) rather than remained within recommendations. The risk of traumatic morbidity increased with maternal obesity (class 1: aOR 1.3 [1.1-1.5]), whilst it dropped with GWG below recommendations (aOR 0.7 [0.6-0.8]). The risk of hypoxic events estimated at entry of care increased with maternal overweight (aOR 1.27 [1.19-1.35]) or obesity (class 1: aOR 1.4 [1.2-1.5]; class 2: aOR 1.7 [1.5-1.9]; class 3: aOR 1.8 [1.6-2.1]), and with possible GWG above (aOR 1.09 [1.03-1.015]) recommendations. The risk of traumatic morbidity increased with overweight (aOR 1.1 [1-1.3]) or obesity (class 1: aOR 1.4 [1.2-1.6]; class 2: aOR 1.3 [1-1.6]), with possible GWG above (aOR 1.2 [1-1.3]), as opposed to below recommendations (aOR 0.7 [0.6-0.8]). While maternal pre-pregnancy BMI and GWG equally affected traumatic morbidity, the former had a greater impact on hypoxic complications. Therefore, weight control prior to pregnancy is at least as effective as avoiding excessive gestational weight gain to prevent neonatal morbidity.

Prenatal exposure to PM2.5 and childhood body mass index growth trajectories from birth to 6 years old

This study aimed to determine the relationships between prenatal PM2.5 exposure and childhood growth trajectories during the first 6 years of life. A total of 47,625 pairs of mothers and children were recruited from a prospective birth cohort conducted between 2011 and 2013 in Wuhan, China, and followed for 6 years. We used the group-based trajectory models to classify the population into three trajectory groups: slow growth (n = 13,671, 28.7%), normal growth (n = 29,736, 62.4%), and rapid growth (n = 4218, 8.9%). Multinomial logistic regression models were used to determine the associations of prenatal PM2.5 exposure and childhood growth trajectories. Compared to normal growth trajectory, increased PM2.5 exposure in trimester 1, trimester 2 and the entire pregnancy showed significant associations with an increased risk of the slow growth trajectory but reduced the risk for the rapid growth trajectory, significant association of prenatal PM2.5 exposure with rapid growth trajectory was only observed in the trimester 3. Stratified analyses displayed relatively stronger associations among those mothers with maternal age over 35 years, pre-pregnancy BMI ≥ 25 kg/m2, and previous delivery experience. Prenatal exposure to PM2.5, particularly during the midpoint period of pregnancy, was more likely to have a slow growth trajectory and a lower risk of rapid growth trajectory. Maternal age, pre-pregnancy BMI, and previous delivery experience might modify these associations.

Association between heavy metal mixed exposure and neonatal birth weight in pregnancy

The impact of prenatal exposure to a mixture of heavy metals on birth weight in newborns has been a topic of ongoing interest. In this study, 258 mothers and infants from the New Hampshire Birth Cohort Study (NHBCS) were selected as the study subjects, and the concentrations of seven heavy metals in the placenta, including Aluminum (Al), Cobalt (Co), Chromium (Cr), Nickel (Ni), Plumbum (Pb), Selenium (Se) and Arsenic (As) were collected. And the birth weight of newborns, the relevant covariates of mothers and newborns were collected. Three analytical methods, Weighted Quantile Sum (WQS) regression, Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) were employed. After adjusting for maternal gestational age, pre-pregnancy BMI, smoking status, education level, parity, gestational age and newborn gender, the combined three methods showed that the total effect of mixed exposure of seven heavy metals on birth weight was negative. Specifically, the WQS analysis revealed that Se had the greatest impact on birth weight, followed by Al. The QGC results showed that the heavy metal associated with the reduction of birth weight was mainly Se and Al in female and male infants, respectively. The BKMR analysis demonstrated a negative combined effect of the seven heavy metals on birth weight in both male and female infants, with Se having the highest posterior inclusion probabilities (PIPs) for female infants (0.45), and Al having the highest PIPs for male infants (0.64) after stratification by gender. In summary, mixed exposure to heavy metals during pregnancy was associated with a decrease in newborn birth weight. Furthermore, there are gender effects with Se and Al associated with decreased birth weight in female and male infants, respectively. These findings provide a theoretical basis for the development of public health policies aimed at preventing adverse pregnancy outcomes and improving the health of newborns.

Duración de la lactancia materna y condición nutricional de los lactantes en España. Estudio LAyDI (PAPenRed)

IntroductionBreastfeeding appears to protect the onset of obesity in infants. The aim is to know whether breastfeeding duration of is associated with the risk of obesity in infants and toddlers aged 12 and 24 months. Material and methodsProspective longitudinal study in a cohort of children born in Spain between April 2017 and March 2018 (LAyDI study) in the paediatric primary care system conducted in the framework of the PAPenRed research network. Analysis of breastfeeding duration (group 1: fewer than 6 months; group 2: 6 months or more) and its association with anthropometric variables. ResultsA total of 1495 patients attended the 12 months preventive child health visit and 1073 patients the 24 months visit. We found a statistically significant association between breastfeeding duration and weight-for-age, BMI-for-age and weight-for-length/height at 12 and 24 months; breastfeeding duration of less than 6 months was significantly associated with overweight and obesity (based on BMI-for-age and weight-for-length/height) at ages 12 and 24 months. Maternal pre-pregnancy BMI acted as a modifier on the association between breastfeeding duration and overweight and obesity (based on BMI-for-age). ConclusionsA breastfeeding duration of less than 6 months is associated with a higher percentage of overweight and obesity at ages 12 and 24 months, although maternal pre-pregnancy BMI modifies this relationship at 24 months.

Early Life Surgency, but not Effortful Control or Negative Affectivity, Is a Mediating Variable Between Maternal Pre-Pregnancy Body Mass Index and Childhood Obesity Risk.

Maternal gestational obesity is related to risk of obesity in the child. This risk may be in part mediated by altered child temperament, which can affect mother-child interactions, including feeding and soothing behaviors that affect obesity risk. Our objective was to examine the association between maternal pre-pregnancy BMI and child zBMI and determine if child temperament, specifically positive Affectivity/Surgency, mediates this association. Using conditional process modeling, we analyzed data from 408 mother-child dyads enrolled in the Alberta Pregnancy Outcomes and Nutrition (APrON) study. Child temperament was assessed at 3 years of age via a parent report measure, the Child Behavior Questionnaire (CBQ), and child zBMI was calculated from in-person measurements of child height and weight at 4-5 years of age. Bivariate correlations showed that there was a significant positive correlation between zBMI and Surgency (r=0.11, p=0.03), and zBMI was also correlated with maternal pre-pregnancy BMI (r=0.12, p=0.02). Multivariable regression revealed that maternal pre-pregnancy BMI (adjusted β=0.15, 95% confidence interval [CI]; 0.00-0.05, p=0.02) and Surgency scores (adjusted β=0.14, 95% CI; 0.02-0.28, p=0.03) were associated with higher child zBMI at 4-5 years of age. Mediation analysis showed that Surgency mediated the association between pre-pregnancy BMI and child zBMI. Our models controlled for maternal gestational weight gain, gestational diabetes, socioeconomic status, maternal anxiety and depression, and gestational age at birth. Overall, maternal pre-pregnancy BMI was positively associated with child zBMI, and this association was mediated by higher child Surgency scores.

The relative impact of labor induction versus improved labor management: Before and after the ARRIVE (a randomized trial of induction vs. expectant management) trial.

To evaluate the association of labor induction on cesarean delivery and other maternal and neonatal outcomes in low-risk, full-term patients in community hospitals during a period of concerted effort to safely prevent cesarean delivery. We performed a retrospective cohort study using the California Maternal Data Center comprised linked discharge diagnoses and birth certificate data for all low-risk, nulliparous, term, singleton, vertex (NTSV) individuals between 39 and 41 weeks from three Sacramento Valley community hospitals from 2016 to 2022 (N = 10,821) during a period of state-wide efforts to safely reduce cesarean rates. Logistic regression was used to calculate odds ratios (ORs) and adjusted odds ratios (aORs) after labor induction in two time periods before and after the ARRIVE trial. During the study period, labor induction increased from 14.7% to 23.1%. Controlling for maternal age, pre-pregnancy BMI, birthweight, maternal race and ethnicity, birthplace, English language, gestational age, Medicaid status, delivery year, and labor induction was associated with an increased aOR of 1.67 (95% CI 1.48-1.89) for cesarean delivery. We found a trend toward increased aOR of chorioamnionitis but no differences in blood transfusion, severe maternal morbidity, unexpected newborn complications, chorioamnionitis, operative vaginal delivery, maternal lacerations, and shoulder dystocia with labor induction. A decrease aOR of cesarean delivery was observed comparing all births in 2019-2021 to 2016-2018. Labor induction was associated with an increased aOR for cesarean delivery both before and after the ARRIVE trial. A decreased aOR for cesarean delivery was observed during the period of statewide efforts to safely reduce cesarean delivery both with and without labor induction.

Identification and validation of gestational diabetes subgroups by data-driven cluster analysis

Aims/hypothesisGestational diabetes mellitus (GDM) is a heterogeneous condition. Given such variability among patients, the ability to recognise distinct GDM subgroups using routine clinical variables may guide more personalised treatments. Our main aim was to identify distinct GDM subtypes through cluster analysis using routine clinical variables, and analyse treatment needs and pregnancy outcomes across these subgroups.MethodsIn this cohort study, we analysed datasets from a total of 2682 women with GDM treated at two central European hospitals (1865 participants from Charité University Hospital in Berlin and 817 participants from the Medical University of Vienna), collected between 2015 and 2022. We evaluated various clustering models, including k-means, k-medoids and agglomerative hierarchical clustering. Internal validation techniques were used to guide best model selection, while external validation on independent test sets was used to assess model generalisability. Clinical outcomes such as specific treatment needs and maternal and fetal complications were analysed across the identified clusters.ResultsOur optimal model identified three clusters from routinely available variables, i.e. maternal age, pre-pregnancy BMI (BMIPG) and glucose levels at fasting and 60 and 120 min after the diagnostic OGTT (OGTT0, OGTT60 and OGTT120, respectively). Cluster 1 was characterised by the highest OGTT values and obesity prevalence. Cluster 2 displayed intermediate BMIPG and elevated OGTT0, while cluster 3 consisted mainly of participants with normal BMIPG and high values for OGTT60 and OGTT120. Treatment modalities and clinical outcomes varied among clusters. In particular, cluster 1 participants showed a much higher need for glucose-lowering medications (39.6% of participants, compared with 12.9% and 10.0% in clusters 2 and 3, respectively, p<0.0001). Cluster 1 participants were also at higher risk of delivering large-for-gestational-age infants. Differences in the type of insulin-based treatment between cluster 2 and cluster 3 were observed in the external validation cohort.Conclusions/interpretationOur findings confirm the heterogeneity of GDM. The identification of subgroups (clusters) has the potential to help clinicians define more tailored treatment approaches for improved maternal and neonatal outcomes.Graphical