Higher Pre-pregnancy Body Mass Index Research Articles

Satisfaction with perinatal care providers and the childbirth experience: the moderating role of body mass index

BackgroundSatisfaction with birth and healthcare provider experiences have long-term effects for maternal health. Research has shown that mothers who report more trust, respect, and self-efficacy in their relationship with their healthcare providers are more likely to report positive birthing experiences. Further, individuals with obesity, including pregnant mothers, are more likely to experience weight-related stigma from healthcare providers which may negatively impact satisfaction with this relationship. Thus, the current study examines maternal pre-pregnancy body mass index (BMI) as a moderator between birth and provider satisfaction.MethodsA sample of 94 women (ages 16–38) were recruited during pregnancy. Participants completed surveys about their satisfaction with their birth experience, provider satisfaction, height, weight, and demographics including age and education. A moderation analysis was used to examine pre-pregnancy BMI as a moderator between birth and provider satisfaction.ResultsResults show that provider satisfaction is positively associated with birth satisfaction among mothers with moderate (overweight) to high (obese) pre-pregnancy BMI scores in our sample.ConclusionsFindings suggest that strengthening the patient-provider relationship may promote satisfaction with birth experiences.

Impact of body mass index and gestational weight gain on cesarean delivery rates: a comparative study of dinoprostone-induced vs spontaneous labor.

This study investigates the relationship between pre-pregnancy body mass index (BMI), BMI before labor, and weight gain during pregnancy with the incidence of cesarean delivery (CD) in dinoprostone-induced labor versus spontaneous labor. This retrospective analysis was carried out at the Jagiellonian University Hospital's Obstetrics and Perinatology Department, encompassing term singleton pregnancies from May 2019 to February 2021. BMI was categorized following WHO guidelines. Gestational weight gain was assessed against the Institute of Medicine's 2009 recommendations. Of the 366 cases reviewed, 183 were in the dinoprostone-induced labor group, and 183 were in the spontaneous labor group. The study identified a significant association between higher pre-pregnancy BMI and increased weight gain during pregnancy with elevated CD rates, especially in dinoprostone-induced labor compared to spontaneous labor. Specifically, the dinoprostone-induced labor group showed a 33.9% CD rate compared to 16.9% in the spontaneous labor group. Logistic regression analysis further established that for each 1 kg/m² increase in pre-pregnancy BMI, the odds of undergoing a CD increased by 10%. Elevated pre-pregnancy BMI and excessive gestational weight gain significantly heighten the risk of cesarean delivery, particularly in induced labor. The findings underline the need for individualized labor management strategies for women with higher BMI to optimize maternal and neonatal outcomes.

Association of pre-pregnancy body mass index and gestational weight gain on postpartum pelvic floor muscle morphology and function in Chinese primiparous women: A retrospective cohort study.

Our study aimed to investigate the association between maternal pre-pregnancy body mass index (BMI), gestational weight gain (GWG), and impaired pelvic floor muscle (PFM) morphology and function during the early postpartum period. This retrospective cohort study was conducted at Shanghai First Maternity and Infant Hospital from December 2020 to December 2022. A total of 1118 primiparous women with singleton pregnancies who underwent vaginal deliveries and participated in postpartum PFM assessments were included. Maternal pre-pregnancy BMI and GWG were considered as exposures. PFM morphology and function impairment were the primary outcomes. PFM morphology impairment, defined as levator ani muscle avulsion, was assessed using transperineal ultrasound. PFM function impairment, manifested as diminished PFM fiber strength, was assessed through vaginal manometry. Multivariable logistic regression analysis was employed to calculate adjusted odds ratios (aOR) with 95% confidence intervals (CI). Restricted cubic spline models were used to validate and visualize the relationship. Women with lower pre-pregnancy BMI were at an increased risk of levator ani muscle avulsion (aOR = 1.73, 95% CI: 1.10-2.70, P = 0.017), particularly when combined with excessive GWG during pregnancy (aOR = 3.20, 95% CI: 1.15-8.97, P = 0.027). Lower pre-pregnancy BMI was also identified as an independent predictor of PFM weakness (aOR = 1.53, 95% CI: 1.08-2.16, P = 0.017 for type I fiber injuries). Notably, regardless of the avulsion status, both underweight and overweight/obese women faced an elevated risk of reduced PFM strength (aOR = 1.74, 95% CI: 1.17-2.59, P = 0.006 for underweight women with type I fiber injuries; aOR = 1.67, 95% CI: 1.06-2.64, P = 0.027; and aOR = 1.73, 95% CI: 1.09-2.76, P = 0.021 for overweight/obese women with type I and type II fibers injuries, respectively). Both lower and higher pre-pregnancy BMI, as well as excessive GWG, were strongly associated with PFM impairments. These findings highlighted the critical importance of comprehensive weight management throughout pregnancy to effectively promote women's pelvic health.

Smartphone GPS-Based Exposure to Greenspace and Walkability and Accelerometer-Assessed Physical Activity During Pregnancy and Early Postpartum-Evidence from the MADRES Cohort.

A growing number of studies have associated walkability and greenspace exposure with greater physical activity (PA) in women during pregnancy. However, most studies have focused on examining women's residential environments and neglected exposure in locations outside the home neighborhood. Using 350 person-days (N = 55 participants) of smartphone global positioning system (GPS) location and accelerometer data collected during the first and third trimesters and 4-6months postpartum from 55 Hispanic pregnant women from the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) study, we examined the day-level effect of women's exposure to walkability and greenspace on their PA outcomes during pregnancy and in the early postpartum period. Moderate-to-vigorous physical activity [MVPA] minutes per day was assessed using accelerometers. Walkability and greenspace were measured using geographic information systems (GIS) within women's daily activity spaces (i.e., places visited and routes taken) recorded using a smartphone GPS and weighted by time spent. We used a generalized linear mixed-effects model to estimate the effects of daily GPS-derived environmental exposures on day-level MVPA minutes. Results showed that women engaged in 23% more MVPA minutes on days when they had some versus no exposure to parks and open spaces in activity spaces (b = 1.23; 95%CI: 1.02-1.48). In addition, protective effects of daily greenspace and walkability exposure on MVPA were stronger in the first and third trimesters, among first-time mothers, and among women who had high pre-pregnancy body mass index (BMI) and lived in least-safe neighborhoods. Our results suggest that daily greenspace and walkability exposure are important for women's PA and associated health outcomes during pregnancy and early postpartum.

Status, outcome, and related factors of postpartum hypertension in the Shanghai community.

Postpartum hypertension poses a considerable health risk. Despite research on gestational hypertension, comprehensive studies focusing on postpartum hy-pertension in communities are limited. Understanding its prevalence and associated risk factors is crucial for effective prevention and management. To provide insights for postpartum hypertension's prevention and management. In total, 3297 women who gave birth between June 2021 and December 2022 in Xuhui District, Shanghai were selected. Blood pressure was measured thrice within one month post-delivery during home visits. Eighty-six women with hypertension were followed up for four months to analyze hypertension per-sistence and its related risk factors. A predictive model for persistent postpartum hypertension was established and verified using the Nomo diagram model. Hypertension prevalence 1 month post-delivery was 2.61% (86/3297). Among the 86 pregnant women, 32 (37.21 %) had persistent hypertension at four months post-delivery. Multivariate logistic regression analysis revealed that older age [odds ratio (OR) = 1.212; 95% confidence interval (CI): 1.065-1.380] and higher pre-pregnancy body mass index (BMI) (OR = 1.188; 95%CI: 1.006-1.404) were associated with hypertension (OR = 10.781; 95%CI: 1.006-1.404) during pregnancy. A 95%CI of 1.243-93.480 is a risk factor for persistent postpartum hypertension. The Nomograph model accurately predicted the risk of persistent postpartum hypertension, demonstrating high precision. In Xuhui, older age, higher pre-pregnancy BMI, and gestational hypertension are risk factors for persistent postpartum hypertension. Our prediction model can identify high-risk individuals, thereby improving patient quality of life.

Association of Hypertensive Disorders of Pregnancy With Coronary Microvascular Dysfunction 8 to 10 Years After Delivery.

Hypertensive disorders of pregnancy (HDP) are associated with subsequent adverse cardiac remodeling and cardiovascular disease. The role of myocardial microvascular disease among individuals with HDP and left ventricular (LV) remodeling as a potential link to cardiovascular disease is unknown. We aimed to determine whether individuals with HDP history have coronary microvascular dysfunction measured by coronary flow reserve 8 to 10 years after delivery and whether microvascular dysfunction correlates with LV remodeling. Individuals with pregnancies delivered from 2008 to 2010 underwent burst-replenishment myocardial contrast echocardiography (2017-2020) to quantify myocardial perfusion at rest and during dobutamine stress. Video intensity versus time data were used to derive β, the rate of rise of video intensity, a correlate for myocardial blood flow. Coronary flow reserve was calculated as the ratio of β at peak stress to β at rest, averaged across LV myocardial regions of interest. We studied 91 individuals (aged 38±6 and 9.1±0.9 years postdelivery) and 19 with a history of HDP. Individuals with coronary microvascular dysfunction (coronary flow reserve <2.0; n=13) had a higher proportion of HDP (46.2% versus 16.7%; P=0.026) and higher prepregnancy body mass index, baseline heart rate, and hemoglobin A1c compared with those without microvascular dysfunction. The association of coronary flow reserve and HDP was attenuated after adjusting for cardiometabolic factors (P=0.133). In exploratory subgroup analyses, individuals with both LV remodeling (relative wall thickness >0.42) and HDP (n=12) had the highest proportion of microvascular dysfunction (41.7% versus +HDP-LV remodeling [n=7] 14.3%; -HDP+LV remodeling [n=26] 7.7%; P=0.0498). In this small study, HDP history is associated with coronary microvascular dysfunction 1 decade after delivery, findings that may, in part, be driven by metabolic factors including obesity and diabetes. Microvascular dysfunction may contribute to cardiovascular disease among individuals with a history of HDP.

Twin Pregnancy Complicated by Gestational Diabetes Mellitus: Maternal and Neonatal Outcomes.

The risk of gestational diabetes mellitus (GDM) in twin pregnancies is more than double that of singleton pregnancies. Although twin pregnancies present unique challenges for fetal growth and prenatal management, the approach to GDM diagnosis and treatment is the same regardless of plurality. Data on pregnancy outcomes for individuals with GDM and a twin pregnancy are limited and conflicting. To describe the maternal characteristics associated with GDM in twin pregnancies and to assess the associated pregnancy outcomes compared to twin pregnancies unaffected by GDM. A retrospective cohort study was conducted at Mayo Clinic, Rochester, Minnesota, USA, and included predominantly Causasian women aged 18 to 45 years who received prenatal care for a twin pregnancy from 2017-2022. Maternal characteristics and a broad spectrum of pregnancy outcomes were evaluated. Universal GDM screening involved a 50 g oral glucose challenge test +/- a 100 g oral glucose tolerance test. GDM was diagnosed in 23% pregnancies (n = 104/452). Compared to those without, women with GDM had known risk factors including a higher prepregnancy body mass index (31.1vs 26.3 kg/m2; P < .01) and a prior history of GDM (21.7 vs 5.9%; P < .01). There were no differences in maternal pregnancy complications or neonatal outcomes between groups. Attendance at postpartum glucose testing among women with GDM was poor at 27.9% (29/104). These data suggest that women with twin pregnancies share a similar GDM risk profile to those with singleton pregnancies and provide reassuring evidence that current management for GDM twin pregnancies produces similar outcomes to twin pregnancies without GDM.

Efficacy of a phone reminder to improve adherence to post-partum glucose tolerance testing after gestational diabetes and clinical predictors of post-partum follow-up compliance

AimTo assess the effectiveness of a phone reminder to improve adherence to post-partum glucose tolerance testing in women with gestational diabetes mellitus (GDM) and to identify clinical predictors of adherence to post-partum follow-up. MethodsRetrospective study including 543 women with GDM. We assessed the adherence rate to post-partum glucose tolerance testing in women who received a phone reminder (n = 297) compared to women not alerted (n = 246). Demographic and clinical variables were collected to identify the predictors of adherence to the post-partum oral glucose tolerance test (OGTT). ResultsThe adherence to post-partum OGTT was higher in women who received the phone reminder compared to those not alerted (60.6 % vs. 35.4 %, p < 0.001). Women less compliant compared to those more compliant, had a higher pre-pregnancy body mass index (BMI) (29.3 ± 7.9 vs. 27.0 ± 6.1 Kg/m2, p = 0.03). The adherence was lower in pre-pregnant obese compared to non-obese women (42.7 % vs. 52.0 %, p < 0.05), in women with only one, compared to multiple OGTT alterations during pregnancy (44.5 % vs. 57.8 %, p < 0.05), and in women non-insulin treated compared to those insulin-treated (40.0 % vs. 57.1 % vs, p < 0.001). ConclusionsThe phone reminder improved post-partum follow-up adherence. Pre-pregnancy BMI, number of OGTT alterations and type of therapy could identify poorly adherent women.

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...

Abstract 68: The Association of Pre-Pregnancy Body Mass Index With Gestational Diabetes Across Maternal Race and Ethnicity Subgroups

Objective: Gestational diabetes mellitus (GDM) complicates 5-11% of pregnancies within the US and maternal obesity is a strong risk factor. Asian individuals are known to have a higher risk of GDM at a lower body mass index (BMI) compared to European populations. However, Asian Americans represent a heterogenous group, and no studies have captured the variation between BMI and GDM across racial groups at a national level. Our objective was to characterize differences in the association between BMI and GDM by maternal race/ethnicity with a specific focus on Asian subgroups. Methods: We used data from the National Vital Statistics System natality files from 2016 to 2019, capturing all live births in the US, to ascertain incidence of GDM. We used logistic regression with BMI modeled as a cubic b-spline to model the association with risk (predicted probability) of GDM. All analyses were stratified by maternal race/ethnic group. Results: Of the eligible 13.3M pregnancies resulting in live births, 6.5% were affected by GDM, ranging from 5.2% among non-Hispanic Black individuals to 12.3% among Asian individuals. The incidence of GDM was highest among women with obesity with rates of 20.3% in Asian individuals, and 16.0% in American Indian and Alaska Native individuals with obesity (Figure 1A). At a BMI of 23 kg/m2 the predicted probability of GDM was 6.5% for Asian individuals compared to 2.3% for non-Hispanic Black individuals (Figure 1B). There was substantial heterogeneity across Asian ancestry subgroups between pre-pregnancy obesity and GDM incidence (Figure 1C), with Vietnamese and Korean individuals having the largest increase in risk with higher pre-pregnancy BMI (Figure 1D). Conclusion: The risk of GDM increased with higher pre-pregnancy BMI across all maternal race/ethnicity groups, but risk was higher for Asian Americans at a lower BMI. There was substantial variation in BMI-related risk of GDM across Asian ancestry subgroups, suggesting need for more tailored screening and intervention strategies for GDM.

Incidence of and factors associated with emergency caesarean section in pregnant women with gestational diabetes mellitus: A retrospective cohort study.

The incidence of factors associated with emergency cesarean section (ECS) in patients with gestational diabetes mellitus (GDM) have not been well investigated. We conducted a retrospective cohort study of patients diagnosed with GDM between 2011 and 2020 at a tertiary care hospital in Japan. Clinical data, vital signs, and laboratory results of the patients were collected from electronic medical records. We constructed a multivariate logistic regression model to identify the clinical characteristics associated with ECS. We included 1189 patients diagnosed with GDM, the mean maternal age was 33 years, and 507 (42.6%) patients were aged ≥35 years. In total, 114 patients underwent ECS (9.6%). The previous assisted reproductive technology (ART) use (odds ratio [OR], 1.81; 95% confidence interval [CI], 1.12-2.93), previous artificial abortion (OR, 1.94; 95% CI, 1.13-3.33), high pre-pregnancy body mass index (BMI) (OR, 1.07; 95% CI, 1.02-1.11), and late diagnosis of GDM (OR, 1.02; 95% CI, 1.003-1.05) were independently associated with ECS. One of every 10 GDM patients required ECS. Previous ART use, previous artificial abortion, high pre-pregnancy BMI, and late diagnosis of GDM were risk factors for ECS in GDM patients.

Maternal weight, smoking, and diabetes provided early predictors of longitudinal body mass index growth patterns in childhood.

The aim of this study was to identify factors affecting overweight growth development using extended body mass index (BMI) data combined with birth and maternal records from Finnish national registries. The longitudinal data consist of growth measurements of 7372 from six birth cohorts in Finland: 1974 (n = 1109), 1981 (n = 983), 1991 (n = 607), 1994-1995 (n = 829), 2001 (n = 821), and 2003-2004 (n = 3023). Anthropometric data were collected from birth to age 15 years from the health records. Pregnancy health data were included for the four most recent birth cohorts (n = 2810). A statistical method called trajectory analysis was used to identify different BMI development trajectories. Factors associated with abnormal growth tracks were analysed using logistic regression models. High pre-pregnancy BMI, gestational diabetes mellitus, maternal smoking, and greater gestational weight gain than the Institute of Medicine (United States) recommendations were associated with the overweight growth track. Two of the trajectories didn't seem to follow the normal growth pattern: overweight growth track appeared to lead to overweight, while low birth BMI track showed accelerating growth after the adiposity rebound point of BMI growth. These findings suggest that maternal overweight before pregnancy, excessive gestational weight gain, gestational diabetes mellitus, and smoking could potentially be associated with the risk of obesity in children.

RISK FACTORS, MATERNAL, AND PERINATAL OUTCOME OF FETAL MACROSOMIA

Objective: Macrosomia is characterized by a birth weight exceeding 4000 g, regardless of gestational age, or &gt;90th percentile for gestational age. This condition is linked to significant risks of maternal and neonatal morbidity and mortality. Globally, the prevalence of infants weighing ≥4000 g is estimated to be 9%. Various risk factors contribute to the development of fetal macrosomia, including a high pre-pregnancy body mass index (BMI), excessive weight gain during the antenatal period, high parity, male gender of the fetus, prolonged pregnancy, and maternal diabetes mellitus. Methods: A retrospective cross-sectional study was undertaken in the Department of Obstetrics and Gynecology at GIMSR Teaching Hospital, over a 5-year period from May 2018 to May 2023. The study encompassed all singleton pregnancies with a birth weight equal to or exceeding 4000 g, irrespective of the delivery method. Maternal and neonatal records for the study population were systematically collected, and data were documented. Results: Throughout the study duration, there were 167 cases where the birth weight equalled or exceeded 4,000 g. Most common maternal complication was prolonged labor and postpartum hemorrhage. Shoulder dystocia was seen in 2.9% of all deliveries and 10.8% of all vaginal deliveries. Most common neonatal complication was hypoglycemia. Conclusion: The prevalence of macrosomia in our study was 3.86%. Main risk factors identified in our study were male gender, pre pregnancy BMI &gt;25, previous macrosomic births, and excessive weight gain during pregnancy.

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.

Higher pre-pregnancy body mass index was associated with adverse pregnancy and perinatal outcomes in women with polycystic ovary syndrome after a freeze-all strategy: Ahistorical cohort study.

Previous studies have demonstrated that abnormal body mass index (BMI) is associated with adverse pregnancy outcomes in frozen-thawed embryo transfer cycles. However, the relationship between BMI and pregnancy and perinatal outcomes in patients with polycystic ovary syndrome (PCOS) remains unclear. Furthermore, whether a diagnosis of PCOS could result in adverse pregnancy and perinatal outcomes in women with different BMIs remains unknown. A historical cohort study included 1667 women with PCOS and 12 256 women without PCOS after a freeze-all policy between January 2016 and December 2020. The outcomes encompassed both pregnancy and perinatal outcomes. Multivariate logistic regression analysis and restricted cubic spline models were performed to eliminate confounding factors when investigating the relationship between BMI and different outcomes. After controlling for covariates, pregnancy outcomes were comparable between underweight women with PCOS and normal weight women with PCOS. However, overweight patients had a lower clinical pregnancy rate and an overall live birth rate. Furthermore, patients with obesity had a lower rate of multiple pregnancies but a higher rate of biochemical pregnancy than in the normal BMI group. Additionally, the restricted cubic spline models showed that as maternal BMI increased to 32 kg/m2, the clinical pregnancy rate and live birth rate after blastocyst transfer decreased, but the risks of preterm birth, gestational diabetes mellitus, macrosomia, large-for-gestational age (LGA) and very LGA increased in patients with PCOS after a freeze-all strategy. Moreover, a diagnosis of PCOS resulted in a higher clinical pregnancy rate and live birth rate and a higher risk of small-for-gestational age in the normal weight group. However, women with PCOS in the overweight group exhibited higher risks of very preterm birth and gestational diabetes mellitus compared with women without PCOS. This study showed that a higher BMI had a detrimental impact on the pregnancy and perinatal outcomes of PCOS patients undergoing a freeze-all strategy. However, it was only statistically significant in the overweight group. A diagnosis of PCOS had a higher clinical pregnancy rate and live birth rate in normal weight women but higher risks of perinatal complications in normal weight and overweight women.

Associations of primiparous pre-pregnancy body mass index and gestational weight gain with cesarean delivery after induction: a prospective cohort study.

The effects of Pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) in primiparas remain unclear. This study examines the associations of pre-pregnancy BMI and GWG with cesarean delivery after induction (CDaI) in primiparous women. This prospective cohort study included 3,054 primiparous women. We recorded pre-pregnancy BMI, first, second, and third trimester weight values, as well as instances of CDaI and other pregnancy outcomes. We analyzed the associations of pre-pregnancy BMI and GWG with CDaI by conducting a multivariate logistic regression analysis after adjusting for covariates, and adjusted risk ratios (aRR) and 95% confidence intervals were reported. We recorded 969 CDaIs. In the vaginal delivery group, each increase of 1 standard deviation in the pre-pregnancy BMI was correlated with a 6% increase in the CDaI risk [aRR (95% CI), 1.06 (1.01-1.11)]. Each increase of 1 standard deviation in the rate of weight gain during the entire pregnancy was correlated with a 21% increase in the CDaI risk [aRR (95% CI), 1.21 (1.14-1.29)]. Compared to women with a normal weekly GWG in the second and third trimester, those with slow GWG had a 19% increased risk of CDaI [aRR (95% CI), 1.19 (1.01-1.37)]. The subgroup analysis results showed that increases in pre-pregnancy BMI could increase the CDaI risk regardless of the induction method. High pre-pregnancy BMI, excessive GWG, and rapid first trimester weight gain are risk factors for CDaI in primiparous women. Excessive first trimester weight gain, may associated with increased risks of CDaI in primiparous women.

Association of high pre-pregnancy body mass index with adverse maternal and perinatal outcomes.

Obesity is an epidemic of the 21st century with its rates doubling in both developed and developing countries. It raises concerns for both maternal and fetal well-being and needs altered care throughout pregnancy and in postnatal period. Raised BMI prior to conception is associated with adverse feto-maternal outcomes. Limited data is available about its association with adverse maternofetal outcome in this region of the world. Our objective was to find out association of high pre-pregnancy BMI with adverse maternal and perinatal outcomes. This cohort study of 390 patients was conducted in Gynae department of Lady Reading Hospital Peshawar. Study duration was from June 2021 to March 2022. Patients enrolled in third trimester of gestation (≥ 37 weeks) were divided into two groups based on BMI i.e., Group-A with BMI <25 and Group-B with BMI ≥ 25. Both groups were followed until their delivery and discharge. The mean age of 390 women was 28.2 ± 4.8 years. There was statistically significant association between raised pre pregnancy BMI and maternal risks like postpartum hemorrhage (p-0.0001), genital tract (p-0.0002) and perineal trauma (p-0.04). Neonatal risks significantly associated with high pre-pregnancy BMI were macrosomia (p-0.0001), and one minute APGAR score of < 8/10(p- 0.01). Both groups had no statistically significant difference for different modes of delivery i.e normal vaginal/ instrumental delivery and cesarean section (P-value 0.9). Maternal pre-conception BMI of ≥ 25 leads to poor maternal and perinatal outcomes.

Interactive effects of gestational diabetes and high pre-pregnancy body mass index on adverse growth patterns of offspring.

To examine the independent and interactive effects of maternal gestational diabetes mellitus (GDM) and high pre-pregnancy body mass index (BMI) on the risk of offspring adverse growth patterns. One thousand six hundred and eighty onemother-child pairs were followed for 8years in Tianjin, China. Group-based trajectory modelling was used to identify offspring growth patterns. Logistic regression was performed to obtain odds ratios (ORs) and 95% confidence intervals (CIs) of GDM and high pre-pregnancy BMI for offspring adverse growth patterns. Restricted cubic spline was used to identify cut-off points. Additive interactions and multiplicative interactions were used to test interactive effects between GDM and high pre-pregnancy BMI for adverse growth patterns. Four distinct growth patterns were identified in offspring, including normal growth pattern, persistent lean growth pattern, late obesity growth pattern (LOGP), and persistent obesity growth pattern (POGP). Maternal high pre-pregnancy BMI was associated with LOGP and POGP (adjusted OR, 95% CI: 2.38, 1.74-3.25 & 4.92, 2.26-10.73). GDM greatly enhanced the adjusted OR of high pre-pregnancy BMI for LOGP up to 3.48 (95% CI: 2.25-5.38). Additive interactions and multiplicative interactions between both risk factors were significant for LOGP but not for POGP. Maternal high pre-pregnancy BMI was associated with increased risk of LOGP and POGP, whereas GDM greatly enhanced the risk of high pre-pregnancy BMI for LOGP.

Is the association between mothers’ autistic traits and childhood autistic traits moderated by maternal pre-pregnancy body mass index?

BackgroundPrevious studies showed that there is a positive association between mothers’ and children’s autistic traits. We also tested if this association is more pronounced in mothers with a higher pre-pregnancy body mass index (BMI).MethodThe study was embedded in two cohorts with information available for 4,659 participants from the Generation R and for 179 participants from the Cambridge Ultrasound Siblings and Parents Project (CUSP) cohort. In both cohorts, maternal autistic traits were assessed using the short form of the Autism Spectrum Quotient, and information about maternal height and weight before pregnancy was obtained by questionnaire. Child autistic traits were assessed with the short form of Social Responsiveness Scale in Generation R (M = 13.5 years) and with the Quantitative Checklist for Autism in Toddlers (Q-CHAT) in the CUSP cohort (M = 1.6 years).ResultHigher maternal autistic traits were associated with higher autistic traits in toddlerhood (CUSP cohort; βadjusted = 0.20, p < 0.01), in early childhood (Generation R; βadjusted = 0.19, p < 0.01), and in early adolescence (Generation R; βadjusted = 0.16, p < 0.01). Furthermore, a higher maternal pre-pregnancy BMI was associated with higher child autistic traits, but only in Generation R (βadjusted = 0.03, p < 0.01). There was no significant moderating effect of maternal pre-pregnancy BMI on the association between autistic traits of mothers and children, neither in Generation R nor in CUSP. In addition, child autistic traits scores were significantly higher in mothers who were underweight and in mothers who were overweight compared to mothers with a healthy weight.ConclusionWe confirm the association between maternal and child autistic traits in toddlerhood, early childhood, and early adolescence. Potential interacting neurobiological processes remain to be confirmed.

Association of prenatal exposure to PM2.5 and NO2 with gestational diabetes in Western New York

BackgroundAlthough many studies have examined the association between prenatal air pollution exposure and gestational diabetes (GDM), the relevant exposure windows remain inconclusive. We aim to examine the association between preconception and trimester-specific exposure to PM2.5 and NO2 and GDM risk and explore modifying effects of maternal age, pre-pregnancy body mass index (BMI), smoking, exercise during pregnancy, race and ethnicity, and neighborhood disadvantage. MethodsAnalyses included 192,508 birth records of singletons born to women without pre-existing diabetes in Western New York, 2004–2016. Daily PM2.5 and NO2 at 1-km2 grids were estimated from ensemble-based models. We assigned each birth with exposures averaged in preconception and each trimester based on residential zip-codes. We used logistic regression to examine the associations and distributed lag models (DLMs) to explore the sensitive windows by month. Relative excess risk due to interaction (RERI) and multiplicative interaction terms were calculated. ResultsGDM was associated with PM2.5 averaged in the first two trimesters (per 2.5 μg/m3: OR = 1.08, 95% CI: 1.01, 1.14) or from preconception to the second trimester (per 2.5 μg/m3: OR = 1.10, 95% CI: 1.03, 1.18). NO2 exposure during each averaging period was associated with GDM risk (per 10 ppb, preconception: OR = 1.10, 95% CI: 1.06, 1.14; first trimester: OR = 1.12, 95% CI: 1.08, 1.16; second trimester: OR = 1.10, 95% CI: 1.06, 1.14). In DLMs, sensitive windows were identified in the 5th and 6th gestational months for PM2.5 and one month before and three months after conception for NO2. Evidence of interaction was identified for pre-pregnancy BMI with PM2.5 (P-for-interaction = 0.023; RERI = 0.21, 95% CI: 0.10, 0.33) and with NO2 (P-for-interaction = 0.164; RERI = 0.16, 95% CI: 0.04, 0.27). ConclusionPM2.5 and NO2 exposure may increase GDM risk, and sensitive windows may be the late second trimester for PM2.5 and periconception for NO2. Women with higher pre-pregnancy BMI may be more susceptible to exposure effects.