Early Pregnancy Body Mass Index Research Articles

Gestational weight gain and pregnancy outcomes: Findings from North Indian pregnancy cohort

Despite the high prevalence of inadequate gestational weight gain (GWG) and adverse pregnancy outcomes, very few studies have addressed the association between GWG and pregnancy outcomes in South Asia. Our objectives were to estimate the prevalence of GWG during the second and third trimesters within, below and above the Institute of Medicine (IOM) guidelines, and to estimate the effect of the rate and adequacy of GWG on gestational age at the time of delivery, weight, length, length‐for‐age z‐score (LAZ), weight‐for‐length z‐score (WLZ) and adverse pregnancy outcomes, namely prematurity, small‐for‐gestational age (SGA), low birth weight (LBW), stunting and wasting at birth. We analysed data from the intervention group of the Women and Infants Integrated Interventions for Growth Study (WINGS), which is an ongoing individually randomized factorial design study. Of the 1332 women analysed, 40.2% [95% confidence interval (CI) 37.5 to 42.8] had GWG below the IOM guidelines. For every 100‐g/week increase in GWG, birth weight increased by 61 g, birth length by 0.16 cm, LAZ score by 0.08 SD, WLZ score by 0.14 SD, and gestational age at birth by 0.48 days. Women with GWG below the IOM guidelines had a higher relative risk of adverse pregnancy outcomes (44% for LBW, 27% for SGA, 32% for stunting and 42% for wasting at birth) than women who had GWG within the IOM guidelines, except for prematurity. The association between GWG and LAZ scores at birth was modified by early pregnancy body mass index (BMI). GWG is a strong predictor of newborn anthropometric outcomes and duration of gestation but not prematurity.

Association of body mass index and maternal age with first stage duration of labour

To evaluate associations between early-pregnancy body mass index (BMI) and active first stage labour duration, accounting for possible interaction with maternal age, we conducted a cohort study of women with spontaneous onset of labour allocated to Robson group 1. Quantile regression analysis was performed to estimate first stage labour duration between BMI categories in two maternal age subgroups (more and less than 30 years). Results show that obesity (BMI > 30) among younger women (< 30 years) increased the median labour duration of first stage by 30 min compared with normal weight women (BMI < 25), and time difference estimated at the 90th quantile was more than 1 h. Active first stage labour time differences between obese and normal weight women was modified by maternal age. In conclusion: (a) obesity is associated with longer duration of first stage of labour, and (b) maternal age is an effect modifier for this association. This novel finding of an effect modification between BMI and maternal age contributes to the body of evidence that supports a more individualized approach when describing labour duration.

Associations of Tryptophan, Docosahexaenoic Acid (DHA), and Vitamin D With Sleep Quality and Depression During Pregnancy

ObjectivesDuring pregnancy women are at increased risk of poor sleep quality and depression. Serotonin and melatonin are compounds that are involved in regulation of sleep and mood. Several nutrients are involved in the synthesis of these compounds, including tryptophan, docosahexaenoic acid (DHA), and vitamin D. Studies exploring associations between these nutrients and sleep, as well as mood, have been largely limited to the general population, showing mixed results. The aim of this study was to assess the associations of dietary intake of these nutrients with sleep quality and depression in pregnant women. MethodsParticipants enrolled in the Understanding Pregnancy Signals and Infant Development (UPSIDE) Study (n = 253) were included in this analysis if they completed dietary, sleep and depression assessments during the 2nd trimester. Dietary and supplement intake were measured using 24-hour dietary recalls. The NCI method was used to estimate usual intake. Sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were measured with the Edinburgh Postnatal Depression Scale (EPDS). Multivariable linear regression was conducted to estimate the associations between nutrients and sleep/depression, adjusting for age, race/ethnicity, parity, education, early pregnancy body mass index, smoking status, energy and macronutrient intake. ResultsThe NCI adjusted mean intakes of tryptophan, DHA, and vitamin D were 1.02 ± 0.11 g/day, 0.13 ± 0.11g/day, and 19.74 ± 21.80 mcg/day, respectively. Mean PSQI score was 6.15 ± 3.39, where higher scores indicated worse sleep quality, and mean EPDS score was 5.84 ± 4.77, where higher scores indicated increased severity of depressive symptoms. Tryptophan intake was inversely associated with EPDS scores (b = –15.23, 95%CI: –26.75, –3.72). The associations between DHA, vitamin D, and depression were not significant. The selected nutrients were not associated with PSQI scores. ConclusionsIn this study, higher tryptophan intake was associated with lower depressive symptoms among pregnant women during the second trimester. Additional research on the relationship between tryptophan intake and maternal mental health during pregnancy is warranted. Funding SourcesNIH, Mae Stone Goode Foundation, Wynne Family Foundation.

BMI Trajectories During the First 2 Years, and Their Associations With Infant Overweight/Obesity: A Registered Based Cohort Study in Taizhou, China

Objective: The purpose of this study was to identify trajectories of body mass index (BMI) in toddlers from birth to 2 years old and examine their association with infantile overweight/obesity.Methods: Data were collected from 19,054 children born in any hospital or community healthcare center in Taizhou, China from 2018 to 2019 with at least three BMI measurements after birth. The Latent Class Growth Mixture Model was used to identify distinct BMI trajectories during the first 2 years of infants. Multiple logistic regression models were conducted to explore the associated factors of different BMI trajectories, and log-binomial regression was performed to assess the association between the trajectories and overweight/obesity.Results: Three heterogeneous BMI trajectories were identified and labeled as “lower” (36.21%, n = 6,899), “middle” (53.15%, n = 10,128) and “upper” (10.64%, n = 2,027), respectively. Several characteristics of infants and their corresponding mothers were found to be correlated with infant BMI trajectories, including infant sex, mode of delivery and weight at birth, as well as maternal parity, early pregnancy BMI and status of gestational diabetes mellitus. Furthermore, compared with those in the lower trajectory, infants in the middle [prevalence ratio (PR) = 2.63, 95% confidence interval (95%CI) = 2.17–2.63] or upper (PR = 2.98, 95%CI = 1.51–2.98) trajectory groups were prone to be overweight/obesity at their final observation.Conclusion: Heterogeneous BMI trajectories were observed in our study. Characteristics of both infants and their corresponding mothers could be potential determinants of infant growth. Moreover, infants in the middle and upper trajectory groups were more likely to suffer overweight/obesity.

Association of maternal body mass index with intellectual disability risk

ObjectivesThe study aimed to investigate the association between maternal body mass index (BMI) in early pregnancy and children’s intellectual disability (ID) risk in the absence of chromosomal disorders, neurofibromatosis and...

Associations of ultrasound estimated early mid pregnancy visceral and subcutaneous fat depths and early pregnancy BMI with adverse neonatal outcomes

This study investigated whether maternal central adiposity and body mass index (BMI) were associated with neonatal hypoglycemia and adverse neonatal outcomes. A cohort study was performed at Uppsala University Hospital, Sweden, between 2015 and 2018. Visceral and subcutaneous fat depths were measured by ultrasound at the early second-trimester anomaly scan in 2771 women giving birth to singleton infants. Body mass index was assessed in early pregnancy. Logistic regression models were performed. Adjustments were made for age, BMI (not in model with BMI as exposure), smoking, maternal country of birth, and parity. Outcomes were neonatal hypoglycemia (blood glucose concentration < 2.6 mmol/l), a composite of adverse neonatal outcomes (Apgar < 7 at 5 min of age, or umbilical artery pH ≤ 7.0, or admission to neonatal intensive care unit), and the components of the composite outcome. Visceral and subcutaneous fat depths measured by ultrasound in early mid pregnancy were not associated with any of the outcomes in adjusted analyses. For every unit increase in BMI, the likelihood of neonatal hypoglycemia increased by 5% (aOR 1.05, 95% CI 1.01–1.10), the composite outcome by 5% (aOR 1.05, 95% CI 1.01–1.08), and admission to neonatal intensive care unit by 6% (aOR 1.06, 95% CI 1.02–1.10).

Adiposity associated DNA methylation signatures in adolescents are related to leptin and perinatal factors

ABSTRACT Epigenetics links perinatal influences with later obesity. We identifed differentially methylated CpG (dmCpG) loci measured at 17 years associated with concurrent adiposity measures and examined whether these were associated with hsCRP, adipokines, and early life environmental factors. Genome-wide DNA methylation from 1192 Raine Study participants at 17 years, identified 29 dmCpGs (Bonferroni corrected p < 1.06E-07) associated with body mass index (BMI), 10 with waist circumference (WC) and 9 with subcutaneous fat thickness. DmCpGs within Ras Association (RalGDS/AF-6), Pleckstrin Homology Domains 1 (RAPH1), Musashi RNA-Binding Protein 2 (MSI2), and solute carrier family 25 member 10 (SLC25A10) are associated with both BMI and WC. Validation by pyrosequencing confirmed these associations and showed that MSI2 , SLC25A10 , and RAPH1 methylation was positively associated with serum leptin. These were also associated with the early environment; MSI2 methylation (β = 0.81, p = 0.0004) was associated with pregnancy maternal smoking, SLC25A10 (CpG2 β = 0.12, p = 0.002) with pre- and early pregnancy BMI, and RAPH1 (β = −1.49, p = 0.036) with gestational weight gain. Adjusting for perinatal factors, methylation of the dmCpGs within MSI2, RAPH1, and SLC25A10 independently predicted BMI, accounting for 24% of variance. MSI2 methylation was additionally associated with BMI over time (17 years old β = 0.026, p = 0.0025; 20 years old β = 0.027, p = 0.0029) and between generations (mother β = 0.044, p = 7.5e-04). Overall findings suggest that DNA methylation in MSI2, RAPH1, and SLC25A10 in blood may be robust markers, mediating through early life factors.

1072 Early pregnancy BMI and angiogenesis-related biomarkers (sFlt-1/PlGF): a pathway for adverse pregnancy outcomes?

Obesity is a risk factor for adverse pregnancy outcomes, but it is unclear whether this is mediated through placental angiogenic factors. We examined the relationship between early pregnancy body mass index (BMI) and 1st- and 2nd-trimester concentrations of sFlt-1/PlGF as a potential biologic pathway for placental insufficiency. We conducted secondary analyses of data and samples from a large, multi-site prospective cohort study of nulliparous pregnant women conducted in the U.S. First- and 2nd-trimester blood samples, 1st-trimester BMI, demographic, lifestyle, and pregnancy data were gathered for all participants. sFlt-1 and PlGF concentrations were measured for a subsample of 1,502 cases (delivery<37weeks, preeclampsia or eclampsia, birthweight for gestational age <5th%, or stillbirth) and 911 controls. We used one-way ANOVA and multivariable linear and logistic regression models to test the association of BMI and sFlt-1/PlGF ratio, using a previously published ratio cutoff of ≥38 in logistic regression. We identified potential confounders a priori and used backward elimination to determine the best-fit model. Plots of mean sFlt-1/PlGF ratios by BMI category and gestational week showed lower ratios in overweight and obese groups in the 1st trimester, which reversed to higher ratios among overweight and obese groups in the 2nd trimester (Fig. 1). After controlling for clinical and demographic factors, women in all high BMI groups had significantly lower mean sFlt-1/PlGF ratios than normal weight women in the 1st trimester (Table 1). In the 2nd trimester, women with BMI ≥35 had a 35% higher mean sFlt-1/PlGF ratio than normal weight women (p=0.009). Logistic regression suggested increased odds of a 2nd-trimester ratio ≥38 among women with BMI ≥35, though not statistically different from 1.0 (OR 2.59, 95% CI 0.95-7.08). Early pregnancy BMI is associated with alterations in first- and second-trimester sFlt-1/PlGF ratios. Findings suggest a potential physiologic pathway between obesity and placental insufficiency.View Large Image Figure ViewerDownload Hi-res image Download (PPT)

1139 Development of Type II diabetes mellitus in women with gestational diabetes

To identify characteristics that contribute to the development of type II diabetes mellitus (T2DM) in patients with gestational diabetes mellitus (GDM) Case-control study of patients with GDM who delivered at a single site from 2011 to 2019. Cases were defined as patients with recent pregnancy with GDM who developed T2DM within 5 years of delivery. Diagnosis of T2DM was per the American Diabetes Association criteria. Controls included patients with pregnancy complicated by GDM who underwent negative testing for T2DM within five years of delivery. Univariate and multivariable analyses were performed, followed by logistic regression analyses to evaluate for factors that independently contributed to the development of T2DM. Out of 715 patients who met inclusion criteria, 75 (10.5%) were diagnosed with T2DM within five years of delivery. Patients who developed T2DM were more likely to have a higher body mass index (BMI) both early in pregnancy and at the time of delivery, have public insurance, self-identify as non-white, identify as single, have a higher blood glucose on the one hour oral glucose challenge test (OGCT), have a higher fasting blood glucose on the three hour OGTT, be diagnosed earlier in gestation, require pharmacotherapy earlier in gestation, and deliver at an earlier gestational age (Table 1). After controlling for confounders, early pregnancy BMI (aOR 1.32, 95% CI 1.06 – 1.63) and having no insurance (aOR 4.07, 95% CI 1.04-15.93) were persistently independently associated with the development of T2DM within five years of delivery (Table 2) Women with GDM who develop T2DM within five years of delivery were more likely to have a higher early pregnancy BMI and have no insurance. These women may benefit from dietary and exercise lifestyle modifications as well as access to diabetes screening after delivery.View Large Image Figure ViewerDownload Hi-res image Download (PPT)

Longitudinal Assessment of Relationships Between Health Behaviors and IL-6 in Overweight and Obese Pregnancy

Inflammation is a common factor in adverse pregnancy outcomes (APOs). Behavioral factors influence inflammatory markers and APOs but rarely have been investigated simultaneously in pregnancy. Our purpose was to determine how diet, physical activity, and obesity are associated with interleukin (IL)-6 in early and late pregnancy. We conducted a secondary analysis of 49 overweight/obese pregnant women. Health behavior data, including diet quality using the Dietary Inflammatory Index (DII®); physical activity (Leisure Time Physical Activity scale); body mass index (BMI); and plasma IL-6 concentrations were collected at 13-16 weeks (early pregnancy) and 34-36 weeks (late pregnancy) gestation. Multiple linear regression analyses were used to determine the amount of variance explained in early and late pregnancy IL-6 concentrations by early and late pregnancy diet, physical activity, and BMI. Early diet and early BMI were the strongest predictors of early IL-6 concentrations (R2 = 0.43; p < .001) and late IL-6 concentrations (R2 = 0.30; p < .001). Late BMI predicted late IL-6 (R2 = .11; p = .02). Change in diet over pregnancy predicted late IL-6 (R2 = 0.17; p = .03). These findings suggest that maternal diet and BMI in early pregnancy, which likely reflects prepregnancy status, may have a greater impact on inflammatory processes than factors later in pregnancy. Future work should assess if behavioral factors before pregnancy produce similar relationships to those reported here, which may clarify the timing and type of lifestyle interventions to effectively reduce APOs.

Temporal trend of early pregnancy high body mass index in Australian women: risk factors and outcomes

Background There is a shift toward the increasing weight gain among women of reproductive age. Aim To assess changes in the prevalence of high body mass index (BMI) (including both overweight and obese) in early pregnancy in Australian women, and its risk factors and association with selected birth outcomes from 2011–2017. Methods Records of pregnant women who received antenatal care and gave birth at an Australian tertiary hospital during 2011–2017 were evaluated and trends of high BMI were investigated. Results The risk of high BMI at early pregnancy increased by 3% annually and rose from 37% in 2011 to 44% in 2017. The risk of high BMI was greater in women who were more than 35 years old, multiparous, were smoking during pregnancy, and who had neurological disorders. High maternal BMI was associated with greater risks of having assisted conception, caesarean section and larger neonate. Conclusion The rate of high BMI in early pregnancy increased between 2011–2017.

Early pregnancy body mass index, gestational weight gain and perinatal outcome in an obstetric population in Lagos, Nigeria.

Introductionthe burden of overweight and obesity is rapidly increasing worldwide with significant health and social consequences. We determined the prevalence of overweight and obesity, pattern of gestational weight gain (GWG) and the associations of these with perinatal outcome among pregnant women in Lagos, Nigeria.Methodsthis was a retrospective review of case records of all deliveries in Lagos State University Teaching Hospital (LASUTH) over a period of two years. Case records of women with singleton pregnancies who registered for antenatal care at or below 20 weeks gestation were retrieved and reviewed to extract information on demography, anthropometrics, composites of pregnancy and perinatal outcomes. World Health Organization classification of BMI and the United States Institute of Medicine categorization of GWG were used to stratify subjects.Resultsout of 4,512 deliveries, 365 (8.1%) met our criteria. The prevalence of overweight and obesity in early pregnancy was 34.6% and 25.6% respectively while 2.9% were underweight. Thirty-seven (11.1%) pregnant women gained more than the recommended weight while 77.8% of underweight pregnant women gained less than the recommended weight. Following multiple logistic regression analysis, obesity in early pregnancy was significantly related to hypertensive pregnancy disorder (AOR 2.2; 95% CI, 1.08-4.32, p = 0.030), gestational diabetes mellitus (AOR 14.4; 95% CI, 4.85-42.6, p = < 0.001), caesarean section (AOR 2.7; 95% CI, 1.51-4.87, p = 0.001) and infections (AOR 4.9; 95% CI, 1.93-12.62, p = 0.001) while excessive GWG was significantly associated with gestational diabetes mellitus (AOR 4.8; 95% CI, 1.63-14.12, p = 0.004).Conclusionprevalence of early pregnancy overweight, obesity and excessive GWG were high among pregnant women in Nigeria and were associated with significant adverse consequences.

Body mass index in early-pregnancy and selected maternal health outcomes: Findings from two cohorts in Bangladesh.

BackgroundMaternal nutrition is one of the most influential factors that affect the health of the mother and her offspring and remains a significant public health challenge globally. There is a lack of studies evaluating the trends of maternal nutrition and its impact on the burden of pregnancy complications from low-income countries, including Bangladesh. We aimed to determine the burden of early-pregnancy nutrition status based on body mass index (BMI), and the associations of nutritional status with pregnancy-induced hypertension (PIH), cesarean section (CS) delivery, perineal tear and postpartum hemorrhage (PPH) in a rural area in Bangladesh.MethodsThis prospective study analyzed data from two cohorts: the Maternal, Neonatal, and Child Health (MNCH) project carried out from January 2008 to June 2010, and the Preterm and Stillbirth Study, Matlab (PreSSMat) conducted from October 2015 to March 2018. In total, information of 9287 women who gave birth from the two cohorts was available for analysis. Early-pregnancy BMI was categorized into underweight, normal-weight, and overweight groups. The change in the burden of malnutrition between two cohort periods and the associations between women’s BMI and maternal health outcomes were presented in odds ratios (ORs) with their 95% confidence interval (CI).ResultsBetween the two cohort periods, the prevalence of underweight decreased from 17.5% to 15.4%, and overweight increased from 10.8% to 20.9%. The risk of being overweight in pregnant women was about two times (OR = 2.19; 95% CI = 1.94-2.46) higher in the PreSSMat cohort than in the MNCH cohort. After multivariate-adjustment for socio-demographic factors, the pooled ORs of PIH, CS delivery, perineal tear, and PPH were 2.41 (95% CI = 1.95-2.99), 2.12 (95% CI = 1.86-2.41), 2.46 (95% CI = 1.54-3.92), and 1.68 (95% CI = 1.12-2.53), respectively, in women with overweight compared to the normal-weight group.ConclusionsThe results confirmed the existence of a double burden of malnutrition in rural women in Bangladesh. Women with overweight had an increased risk of selected pregnancy complications. The findings call for the adoption of appropriate prenatal counseling and preparedness tailored to women’s nutritional status to prevent possible adverse health outcomes.

Abstract 16546: Pre-Pregnancy Body Mass Index and Risk of Peripartum Cardiomyopathy and Heart Failure in the Years Following Delivery

Introduction: Peripartum cardiomyopathy (PPCM) is a form of systolic heart failure that occurs during pregnancy or in the early post-partum period. Obesity is known to be associated with other forms of heart failure in young adults, however it is unclear if it is also a risk factor for the development of PPCM. Objectives: To investigate the association of body mass index (BMI) with PPCM and heart failure in the years following childbirth. Methods: We conducted a retrospective review of pregnant women in the Danish National Patient Registry between 2004 - 2017. Baseline characteristics and other risk factors were obtained at the first prenatal visit (occurring at 8-11 weeks post-conception). Women were followed until the end of the study period, emigration, or death. Logistic regression was performed, adjusting for age as well as other known risk factors for PPCM. Cox proportional hazards analysis was used to assess the long-term risk of development of heart failure. Results: There were 403,820 pregnancies evaluated in 300,892 women, with an average age of 29 years. The average BMI was 24.4 kg/m2, with 21.6% classified as overweight (BMI 25 - 30 kg/m2) and 12.8% as obese (BMI &gt; 30 kg/m2). The rate of PPCM was 0.1 per 1,000 in normal weight and overweight groups, and 0.3 per 1,000 in the obese women. After adjustment for age, ethnicity, smoking status, gestational diabetes, and presence of preeclampsia, there was a statistically significant increased risk of the development of PPCM up to 6 months after childbirth in patients who had class I (odds ratio [OR] 2.25, 95% CI 1.08-4.68) but not class II/III obesity (OR 1.63, 95% CI 0.60-4.43). This elevated risk persisted during long term follow up, with hazard ratios of 2.43 (95% CI 1.55 - 3.80) in women with class I obesity and 3.20 (95% CI 1.93 - 5.30) in women with class II/III obesity. Conclusions: High early pregnancy BMI is associated with elevated risk of development of peripartum cardiomyopathy even after adjustment for traditional risk factors. This risk of heart failure persists for several years after childbirth.

Interpregnancy body mass index change and risk of hypertensive disorders in pregnancy

Background Hypertensive disorders are a common cause of maternal mortality. Whether interpregnancy BMI (body mass index kg/m2) gain is associated with hypertensive disorders in a subsequent pregnancy is not unclear. Objectives To examine the association between interpregnancy BMI and hypertensive disorders in women without a history of hypertensive disorders in pregnancy. Study design This was a retrospective cohort study of all women who had more than one singleton pregnancy at 23 weeks’ gestation or greater at a single academic institution. Only the second pregnancy in the dataset was analyzed. We excluded women who had any hypertensive disorder in the index pregnancy. Interpregnancy BMI change was calculated by the change of early pregnancy BMI (within 14 weeks’ gestation) measured in the office between the index pregnancy compared to that of the subsequent pregnancy. Women were categorized according to interpregnancy BMI change (BMI loss greater than 2 kg/m2, BMI change ±2 kg/m2, and BMI gain greater than 2 kg/m2). The primary outcome was any hypertensive disorder (chronic hypertension and pregnancy-associated hypertension). Multivariable logistic regression was performed to calculate adjusted odds ratios (aOR) with 95% confidence interval (95%CI) after adjusting for predefined covariates. Results Of 3068 women who were analyzed, 342 (11%), 1698 (55%), and 1028 (34%) had interpregnancy BMI loss greater than 2 kg/m2, interpregnancy BMI change ±2 kg/m2, and interpregnancy BMI gain greater than 2 kg/m2, respectively. Interpregnancy BMI gain greater than 2 kg/m2 compared to interpregnancy BMI loss more than 2 kg/m2 was associated with increased odds of hypertensive disorders (8.3% vs. 4.0%; adjusted odds ratio 2.20 [95% confidence interval 1.55–3.13]) and pregnancy-associated hypertension (adjusted odds ratio 2.25 [95% confidence interval 1.54–3.27]). Interpregnancy BMI loss greater than 2 kg/m2 compared to interpregnancy BMI change ±2 kg/m2 was not associated with increased odds of any hypertensive disorders (5.3% vs. 4.0%; adjusted odds ratio 0.58 [95% confidence interval 0.32–1.05]). Conclusions Compared to interpregnancy BMI change ±2 kg/m2, interpregnancy BMI gain greater than 2 kg/m2 was associated with increased odds of any hypertensive disorder. Weight control after pregnancy could be a potentially modifiable factor that may reduce the risk of hypertensive disorders.

The Quantose Insulin Resistance Test for Maternal Insulin Resistance: A Pilot Study.

Insulin resistance (IR) increases during pregnancy which can lead to hyperinsulinemia, gestational diabetes mellitus (GDM), and neonatal hypoglycemia (NH), especially in obese women. Glucose tolerance testing (GTT) is used clinically to evaluate IR in pregnancy. Quantose IR score index is a novel blood screen of IR validated in nonpregnant individuals. The score is generated using an algorithm that combines insulin and three biomarkers of fatty acid pathways (α-hydroxybutyrate, oleic acid, linoleoyl-glycerophospocholine). Our objective was to determine the validity of Quantose IR test (Metabolan Inc. Morrisville, NC) in assessing IR in pregnant obese women, as compared with the homeostatic model assessment of insulin resistance (HOMA-IR), and its ability to predict GDM and NH. Women between 100/7 and 136/7 weeks of gestation with a pre-pregnancy or early pregnancy body mass index more than 30 kg/m2, and no pregestational diabetes, were included. Fasting blood samples were collected at 100/7 to 136/7 (T1) and 240/7 to 280/7 (T2) weeks. Quantose IR and HOMA-IR were calculated. All women underwent an early (T1; indicated for women with obesity) and a T2 glucose tolerance tests. GDM was diagnosed using the two-step approach, and NH was defined as a neonatal glucose less than 40 mg/dL in the first 24 hours of life. Linear regression and receiver operating characteristic curves were used for analysis. The trial enrolled 100 patients. Ten subjects (10%) were diagnosed with GDM in the second trimester and none in the first trimester. At T1, Quantose IR (R2 = 0.48), but not 1-hour glucose tolerance test (R2 = 0.07), correlated with HOMA-IR. Similar correlations were observed at T2. The 1-hour glucose tolerance test followed by HOMA-IR and Quantose IR (area under the curve [AUC]: 0.82, 0.68, and 0.62, respectively) were predictors of GDM. Quantose IR (AUC: 0.74) and 1-hour glucose tolerance test (AUC: 0.72) at T1 and T2 (AUC: 0.75; AUC: 0.93; respectively) were best predictors of NH. The best cut offs, sensitivities, and specificities for prediction of NH were determined. Similar to nonpregnant individuals, Quantose IR appears to be a valid measure of IR in obese pregnant women. First trimester Quantose IR is a predictor of GDM diagnosed in the second trimester and NH. Given that it requires a single blood draw and no glucose challenge, it may be a useful test to evaluate and monitor IR in pregnancy. Our findings may be used as pilot data to explore the potential use of Quantose IR in pregnancy further. · Traditional testing methods for insulin resistance in pregnancy are often performed late, are time consuming, and unpleasant to patients.. · The first trimester one-step Quantose IR test reflects insulin resistance in pregnancy and predicts GDM and neonatal hypoglycemia.. · This is the first known prospective clinical study validating Quantose IR score index in an obstetrical population at risk for developing GDM..

Management of prepregnancy, pregnancy, and postpartum obesity from the FIGO Pregnancy and Non‐Communicable Diseases Committee: A FIGO (International Federation of Gynecology and Obstetrics) guideline

Management of prepregnancy, pregnancy, and postpartum obesity from the FIGO Pregnancy and Non‐Communicable Diseases Committee: A FIGO (International Federation of Gynecology and Obstetrics) guideline

Gestational Weight Gain Charts by Gestational Age and Body Mass Index for Chinese Women: A Population-Based Follow-up Study.

BackgroundEstablishment of an unbiased association between gestational weight gain (GWG) and perinatal health is urgently needed in China, which has the largest population in the world. Our study aimed to create weight-gain-for-gestational-age charts using early pregnancy body mass index (BMI) to present selected percentiles of GWG in China.MethodsA population-based follow-up study was conducted based on the Maternal and Newborn Health Monitoring System, which recruited 132,835 pregnant women between October 2013 and September 2016 in 12 districts/counties of 6 provinces in China. Multilevel analyses and restricted cubic splines were performed to model the longitudinal repeated maternal weight gain measurements and obtain smoothed curves for GWG. The internal and external validation of each model was also assessed.ResultsTo develop models of GWG, 34,288 women were included. Smoothed percentiles of GWG in the 3rd, 10th, 50th, 90th, and 97th percentiles were estimated for each week of gestation. The median figures for GWG were 15.0 kg, 14.4 kg, 13.5 kg, and 12.1 kg in underweight, normal weight, overweight, and obese women, respectively, at 40 weeks. Of all the weight measurements, more than 70% and 95% fell within the expected 1 to 2 standard deviations, respectively. To accomplish external validation of the models, 20,458 women were included. The specificities of measurements in the 5th, 10th, 15th, 25th, 75th, 85th, 90th, and 95th percentiles in four BMI categories were between 90% and 100%.ConclusionsThe population-based gestational weight gain Z-score charts performed well in providing guidance regarding expected gestational weight gain in Chinese women.

Gestational weight gain and delivery outcomes: A population-based cohort study.

Gestational weight gain is a modifiable factor that could impact maternal and infant health. However, its effect on delivery outcomes is not well established. To investigate the associations between gestational weight gain and delivery outcomes stratified by early-pregnancy body mass index (BMI). The study population included singleton livebirths in the Stockholm-Gotland obstetric cohort (January 2008 to October 2014; n=174953). The exposure was total gestational weight gain standardised into gestational-age-specific z-scores by using previously defined Swedish pregnancy weight gain-for-gestational age charts. The outcomes included caesarean delivery (overall, elective, and emergency), instrumental vaginal delivery, induction of labour, and postpartum haemorrhage. Confounders included maternal age, maternal height, parity, smoking status, cohabitation status, chronic hypertension, and pre-pregnancy diabetes. Logistic regression models with marginal standardisation were used to estimate risk ratios (RR) with 95% confidence intervals (CI) for each delivery outcome stratified by early-pregnancy BMI. Above average weight gain (z-score≥0.50 SD) increased risks of caesarean delivery (from RR 1.08, 95% CI 1.00, 1.15 to RR 1.45, 95% CI 1.35, 1.55 across BMI groups), induction of labour (from RR 1.14, 95% CI 1.04, 1.23 to RR 1.38, 95% CI 1.25, 1.51 across BMI groups except underweight), and postpartum haemorrhage (from RR 1.13, 95% CI 1.07, 1.19 to RR 1.25, 95% CI 1.09, 1.41 among normal and overweight). Below average weight gain (z-score <-0.50 SD) decreased caesarean delivery risk (from RR 0.77, 95% CI 0.61, 0.93 to RR 0.89, 95% CI 0.84, 0.95 across BMI groups except underweight). In normal and overweight women, the risks of caesarean delivery, induction of labour, and postpartum haemorrhage increased with gestational weight gain. In obese women, higher gestational weight gain increased risks of caesarean delivery and induction of labour. Low gestational weight gain reduced risk of caesarean delivery in all BMI groups except underweight.

Maternal body mass index in early pregnancy and severe asphyxia-related complications in preterm infants.

BackgroundLittle is known about the associations between maternal body mass index (BMI) and asphyxia-related morbidity in preterm infants (<37 weeks). We aimed to investigate associations between maternal BMI in early pregnancy and severe asphyxia-related neonatal complications in preterm infants (<37 weeks) and to examine whether possible associations were mediated by overweight- or obesity-related complications.MethodsIn this Swedish population-based cohort of 62 499 singleton non-malformed preterm infants born from 1997 to 2011, risks of low Apgar scores (0–3) at 5 and 10 minutes, neonatal seizures and intraventricular haemorrhage (IVH) were estimated through two analytical approaches. In the conventional approach, the denominator for risk was all live births at a given gestational age. In the fetuses-at-risk (FAR) approach, the denominator for risk was ongoing pregnancies at a given gestational age.ResultsUsing the conventional approach, adjusted risk ratios per 10-unit BMI increase were 1.32 [95% confidence interval (CI) 1.13–1.54] and 1.37 (95% CI 1.12–1.67) for low Apgar scores at 5 and 10 minutes, respectively; 1.28 (95% CI 1.00–1.65) for neonatal seizures; and 1.18 (95% CI 1.01–1.37) for IVH. Using the FAR approach, corresponding risks were higher. These associations varied by gestational age (<32 and 32–36 weeks). Associations between maternal BMI and asphyxia-related outcomes were partly mediated through lower gestational age.ConclusionsIncreasing maternal BMI in early pregnancy is associated with increased risks of severe asphyxia-related complications in preterm infants. Our findings add to the evidence to support interventions to reduce obesity in woman of reproductive age.