Pre-pregnancy Body Mass Index Groups Research Articles

Gestational weight gain below recommendations and adverse maternal and child health outcomes for pregnancies with overweight or obesity: a United States cohort study

BackgroundThe current Institute of Medicine (IOM) pregnancy weight gain guidelines were developed using the best available evidence but were limited by substantial knowledge gaps. Some have raised concern that the guidelines for individuals affected by overweight or obesity are too high and contribute to short- and long-term complications for the mother and child. ObjectivesTo determine the association between pregnancy weight gain below the lower limit of the current IOM recommendations and risk of 10 adverse maternal and child health outcomes among individuals with overweight and obesity. MethodsWe used data from a prospective cohort study of United States nulliparae with prepregnancy overweight (n = 955) or obesity (n = 897) followed from the first trimester to 2–7 y postpartum. We used multivariable Poisson regression to relate pregnancy weight gain z-scores with a severity-weighted composite outcome consisting of ≥1 of 10 adverse outcomes (gestational diabetes, preeclampsia, unplanned cesarean delivery, maternal postpartum weight increase >10 kg, maternal postpartum metabolic syndrome, infant death, stillbirth, preterm birth, small-for-gestational age birth, and childhood obesity). ResultsPregnancy weight gain z-scores below, within, and above the IOM-recommended ranges occurred in 5%, 13%, and 80% of pregnancies with overweight and 17%, 13%, and 70% of pregnancies with obesity. There was a positive association between pregnancy weight gain z-scores and all adverse maternal outcomes, childhood obesity, and the composite outcome. Pregnancy weight gain z-scores below the lower limit of the recommended ranges (<6.8 kg for overweight, <5 kg for obesity) were not associated with the severity-weighted composite outcome. For example, compared with the lower limit, adjusted rate ratios (95% confidence interval) for z-scores of −2 standard deviations in pregnancies with overweight (equivalent to 3.6 kg at 40 wk) and obesity (−2.8 kg at 40 wk) were 0.99 (95% confidence interval [CI]: 0.91, 1.06) and 0.97 (95% CI: 0.87, 1.07). ConclusionsThese findings support arguments to decrease the lower limit of recommended weight gain ranges in these prepregnancy body mass index groups.

Pregnancy health in a multi-state U.S. population of systemically underserved patients and their children: PROMISE cohort design and baseline characteristics

BackgroundGestational weight gain (GWG) is a routinely monitored aspect of pregnancy health, yet critical gaps remain about optimal GWG in pregnant people from socially marginalized groups, or with pre-pregnancy body mass index (BMI) in the lower or upper extremes. The PROMISE study aims to determine overall and trimester-specific GWG associated with the lowest risk of adverse birth outcomes and detrimental infant and child growth in these underrepresented subgroups. This paper presents methods used to construct the PROMISE cohort using electronic health record data from a network of community-based healthcare organizations and characterize the cohort with respect to baseline characteristics, longitudinal data availability, and GWG.MethodsWe developed an algorithm to identify and date pregnancies based on outpatient clinical data for patients 15 years or older. The cohort included pregnancies delivered in 2005–2020 with gestational age between 20 weeks, 0 days and 42 weeks, 6 days; and with known height and adequate weight measures needed to examine GWG patterns. We linked offspring data from birth records and clinical records. We defined study variables with attention to timing relative to pregnancy and clinical data collection processes. Descriptive analyses characterize the sociodemographic, baseline, and longitudinal data characteristics of the cohort, overall and within BMI categories.ResultsThe cohort includes 77,599 pregnancies: 53% had incomes below the federal poverty level, 82% had public insurance, and the largest race and ethnicity groups were Hispanic (56%), non-Hispanic White (23%) and non-Hispanic Black (12%). Pre-pregnancy BMI groups included 2% underweight, 34% normal weight, 31% overweight, and 19%, 8%, and 5% Class I, II, and III obesity. Longitudinal data enable the calculation of trimester-specific GWG; e.g., a median of 2, 4, and 6 valid weight measures were available in the first, second, and third trimesters, respectively. Weekly rate of GWG was 0.00, 0.46, and 0.51 kg per week in the first, second, and third trimesters; differences in GWG between BMI groups were greatest in the second trimester.ConclusionsThe PROMISE cohort enables characterization of GWG patterns and estimation of effects on child growth in underrepresented subgroups, ultimately improving the representativeness of GWG evidence and corresponding guidelines.

Exploring the relationships between pre-pregnancy BMI, gestational weight gain, and nutritional intake: a real-world investigation in Shandong, China.

This study investigated the associations between gestational weight gain (GWG), pre-pregnancy body mass index (BMI), and prenatal diet quality in pregnant women from Shandong, China. We analyzed a sample of 532 early-stage pregnant women registered at an outpatient clinic. Diet quality was evaluated using the Chinese Healthy Dietary Index for Pregnancy (CHDI-P), encompassing three dimensions: diversity, adequacy, and limitation, with an overall score out of 100. Dietary intake was documented via 24-h dietary recalls spanning three consecutive days and subsequently translated to a CHDI-P score. At the time of enrollment, BMI was measured on-site and classified as underweight (<18.5), normal weight (18.5-24.9), overweight (25.0-29.9), and obese (≥30.0). Pregnant women were also categorized into inadequate, adequate, and excessive weight gain groups based on their GWG. We employed a Tukey-adjusted generalized linear model to compare the CHDI-P scores between the pre-pregnancy BMI groups and GWG groups. The results revealed that the underweight group had significantly higher total scores and limitation total scores on the CHDI-P (p < 0.001). Conversely, the overweight and obese groups were more susceptible to suboptimal dietary quality. Notably, the inadequate weight gain group displayed significantly elevated food adequacy scores compared to the other two groups (p < 0.05). This indicates that greater GWGs do not necessarily align with principles of adequate nutrition.

Seasonal variation and its interaction with pre-pregnancy BMI for GDM: a large population-based study in Tianjin, China

To evaluate the independent association of seasonal variation with GDM incidence in Tianjin, China, and to test whether there is an additive interaction between seasonal variation and pre-pregnancy body mass index (BMI) on GDM incidence. A population-based observational cohort study was conducted using the healthcare records data from Tianjin, China. Logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Additive interaction between pre-pregnancy BMI groups and seasons was estimated by using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S). Among the 112,639 pregnant women, 20.8% developed GDM at 24–28 weeks of gestation. The multivariable adjusted ORs and 95% CIs were 1.00, 1.00 (0.96–1.05), 1.15 (1.09–1.20) and 1.22 (1.16–1.29) respectively based on seasons (spring, summer, autumn and winter). Compared with the spring/summer and pre-pregnant BMI < 24 kg/m2 group, co-presence of autumn/winter and pre-pregnancy BMI ≥ 24 kg/m2 increased the OR from 1.00 to 2.70 (95% CI 2.28–3.20), with a significant additive interaction: RERI (0.32, 95% CI 0.19–0.45), S (1.21, 95% CI 1.12–1.31) and AP (0.11, 95% CI 0.07–0.16). Autumn/winter is an independent risk factor for GDM incidence, and can significantly amplify the obesity-associated risk for GDM incidence. The underlying mechanism warrants further investigations. We suggest that seasonality is an additional factor when interpreting OGTT results for the diagnosis of GDM.

Severity of excessive gestational weight gain and risk of severe maternal morbidity

Both obesity and excessive gestational weight gain are associated with severe maternal morbidity, but there is limited literature evaluating whether the risk of severe maternal morbidity is further increased by the degree or severity of excessive gestational weight gain. This study aimed to determine whether pregnant patients with excessive gestational weight gain who gained more than 50 lb were at increased risk of severe maternal morbidity compared with those who only moderately exceeded recommended gestational weight gain guidelines. A secondary objective was to determine whether patients who gained 10 lb more than the recommended upper limit of total weight gain for a given prepregnancy body mass index group were at increased risk of severe maternal morbidity compared with those who exceeded that upper limit by a lesser amount. This was a retrospective cohort study of all patients with live, term, singleton deliveries with excessive gestational weight gain from 7 hospitals within a large health system in New York between January 2019 and February 2020. Excessive gestational weight gain was defined as exceeding the recommended upper limit of total weight gain for a given prepregnancy body mass index category using the National Academy of Medicine gestational weight gain guidelines: >40 lb for a body mass index of <18.5 kg/m2, >35 lb for a body mass index of 18.5 to 24.9 kg/m2, >25 lb for a body mass index of 25.0 to 29.9 kg/m2, and >20 lb for a body mass index of ³30.0 kg/m2. Patient height and weight data were self-reported at the time of delivery hospitalization and retrieved from the electronic medical record system. Patients were classified into 2 excessive gestational weight gain groups: moderate (≤50 lb) or severe (>50 lb). Patients with missing body mass index or gestational weight gain were excluded. The primary exposure was severe excessive gestational weight gain. The primary outcome was severe maternal morbidity, defined using the Centers for Disease Control and Prevention criteria. Logistic regression was used to model the likelihood of severe maternal morbidity, adjusting for race and ethnicity, nulliparity, advanced maternal age, gestational diabetes mellitus, and maternal mood disorder. For the secondary analysis, severe maternal morbidity rates were compared between patients who exceeded their body mass index-specific upper limit of total weight gain by ≥10 lb and those who exceeded it by <10 lb. A total of 11,506 patients were included for analysis, and 1965 patients (17.1%) had severe excessive gestational weight gain. The overall rate of severe maternal morbidity was 3.3%. Severe maternal morbidity occurred in 85 of 1965 patients (4.3%) with severe excessive gestational weight gain and 292 of 9541 patients (3.1%) with moderate excessive gestational weight gain. On regression analysis, after adjustment for covariate factors, patients with a severe excessive gestational weight gain were 39% more likely to experience severe maternal morbidity than those with moderate excessive gestational weight gain (adjusted odds ratio, 1.39; 95% confidence interval, 1.08-1.79). Patients with excessive gestational weight gain of ≥10 lb above the recommended body mass index-specific upper limit for gestational weight gain were 32% more likely (adjusted odds ratio, 1.32; 95% confidence interval, 1.07-1.62) to experience severe maternal morbidity than patients who exceeded that upper limit by <10 lb. Patients with live, term, singleton pregnancies who gain more than 50 lb are at increased risk of severe maternal morbidity compared with those who only moderately exceed gestational weight gain guidelines. Similarly, patients who gain ≥10 lb above the recommended body mass index-specific upper limit for gestational weight gain are at increased risk. Further study is warranted to determine the most effective interventions to manage gestational weight gain and mitigate maternal risk.

Pre-pregnancy body mass index and glycated-hemoglobin with the risk of metabolic diseases in gestational diabetes: a prospective cohort study.

Metabolic diseases during pregnancy result in negative consequences for mothers. Pre-pregnancy body mass index (BMI) and late-pregnancy glycated-hemoglobin (HbA1c) are most important factors independently affecting the risk of gestational diabetes mellitus (GDM). However how both affect the combined risk of other metabolic diseases in women with GDM is unclear. The study aims to investigate the influence of pre-pregnancy BMI and pregnancy glycemic levels on other gestational metabolic diseases in women with GDM. Pregnancies with GDM from January 2015 to December 2018 in the Xi'an longitudinal mother-child cohort study (XAMC) were retrospectively enrolled. Those without other metabolic diseases by the time of oral glucose tolerance test (OGTT) detection were finally recruited and divided into four groups by pre-pregnancy BMI (Underweight <18.5kg/m2; Normal weight 18.5-23.9 kg/m2; Overweight 24.0-27.9 kg/m2; Obesity ≥28.0 kg/m2, respectively) or two groups by HbA1c in late pregnancy (normal HbA1c<5.7%; high HbA1c≥5.7%). Multivariate logistic regression analysis was used to identify risk factors. Interaction between pre-pregnancy BMI (reference group 18.5-23.9 kg/m2) and HbA1c (reference group <5.7%) was determined using strata-specific analysis. A total of 8928 subjects with GDM were included, 16.2% of which had a composite of metabolic diseases. The pre-pregnancy overweight and obesity, compared with normal BMI, were linked to the elevated risk of the composite of metabolic diseases, particularly pre-eclampsia (both P <0.001) and gestational hypertension (both P <0.001). Meanwhile, patients with high HbA1c had an obvious higher risk of pre-eclampsia (P< 0.001) and gestational hypertension (P= 0.005) compared to those with normal HbA1c. In addition, there were significant interactions between pre-pregnancy BMI and HbA1c (P< 0.001). The OR of pre-pregnancy BMI≥ 28 kg/m2 and HbA1c≥ 5.7% was 4.46 (95% CI: 2.85, 6.99; P< 0.001). The risk of other metabolic diseases, except for pre-eclampsia (P= 0.003), was comparable between the two groups of patients with different HbA1c levels at normal pre-pregnancy BMI group. However, that was remarkably elevated in obese patients (P= 0.004), particularly the risk of gestational hypertension (P= 0.004). Pre-pregnancy overweight/obesity and late-pregnancy high HbA1c increased the risk of other gestational metabolic diseases of women with GDM. Monitoring and controlling late-pregnancy HbA1c was effective in reducing metabolic diseases, particularly in those who were overweight/obese before conception.

Obesity as a potential risk factor for stillbirth: The Japan Environment and Children’s Study

The relationship between high body mass index (BMI) >25 kg/m2 and risk for stillbirth in the Japanese population remains unclear. This study aimed to estimate the impact of maternal obesity on the risk of stillbirth in a Japanese population. This prospective cohort study used data from the Japan Environment and Children’s Study, which recruited pregnant individuals between 2011 and 2014. A total of 93,772 fetuses were considered eligible for inclusion in this study. Stillbirth (fetal death before or during labor at ≥22 completed weeks of gestation) rates were compared among four pre-pregnancy BMI groups: underweight (<18.5 kg/m2), reference (18.5 to <25.0 kg/m2), overweight (25.0 to <30.0 kg/m2), and obese (≥30.0 kg/m2). The association between pre-pregnancy BMI and the risk of stillbirth was estimated using multiple logistic regression analyses. The overall stillbirth incidence was 0.33% (305/93,722). Compared with the reference group, the risk of stillbirth was significantly higher in the overweight group (adjusted odds ratio [aOR]: 1.55; 95% confidence interval [CI]: 1.08–2.23) and the obese group (aOR: 2.60; 95% CI: 1.59–4.24). The overall incidence of early stillbirth (i.e., <28 weeks) was 0.17% (155/93,722). Similarly, after adjusting for potential confounding factors, the risk of early stillbirth was significantly higher in the obese group (aOR: 4.33; 95% CI: 2.44–7.70). Increased maternal BMI was associated with an increased risk of stillbirth in the Japanese population. Therefore, counselling women planning for pregnancy on the importance of an appropriate pre-pregnancy BMI to minimize the risk of stillbirth is important.

Prenatal weight and regional body composition trajectories and neonatal body composition: The NICHD Foetal Growth Studies.

Gestational weight gain (GWG) and anthropometric trajectories may affect foetal programming and are potentially modifiable. To assess concomitant patterns of change in weight, circumferences and adiposity across gestation as an integrated prenatal exposure, and determine how they relate to neonatal body composition. Data are from a prospective cohort of singleton pregnancies (n=2182) enrolled in United States perinatal centres, 2009-2013. Overall and by prepregnancy BMI group (overweight/obesity and healthy weight), joint latent trajectory models were fit with prenatal weight, mid-upper arm circumference (MUAC), triceps (TSF) and subscapular (SSF) skinfolds. Differences in neonatal body composition by trajectory class were assessed via weighted least squares. Six trajectory patterns reflecting co-occurring changes in weight and MUAC, SSF and TSF across pregnancy were identified overall and by body mass index (BMI) group. Among people with a healthy weight BMI, some differences were observed for neonatal subcutaneous adipose tissue, and among individuals with overweight/obesity some differences in neonatal lean mass were found. Neonatal adiposity measures were higher among infants born to individuals with prepregnancy overweight/obesity. Six integrated trajectory patterns of prenatal weight, subcutaneous adipose tissue and circumferences were observed that were minimally associated with neonatal body composition, suggesting a stronger influence of prepregnancy BMI.

Association between maternal weight gain during pregnancy and child's body mass index at preschool age.

Recent studies reported that prepregnancy body mass index (BMI) and weight gain during pregnancy affect birth weight and contribute to childhood obesity. However, no such data are available in Korea. This study gathered data on weight gain during pregnancy and its impact on birth weight and childhood obesity in Korea. We reviewed 1,753 singleton full-term babies born at CHA Bundang Medical Center in 2014-2016. We first review each maternal and baby factor based on prepregnancy BMI (underweight, normal, overweight/obese) and then divided them into low, normal, and excess gestational weight gain (GWG) groups based on the American Institute of Medicine (IOM) guidelines. We reviewed the characteristics of each group and analyzed the association between maternal GWG based on IOM guidelines and child BMI after 6 years. The maternal prepregnancy BMI group showed a significant difference in birth weight and child BMI at 6 years. As the prepregnancy BMI increased, the birth weight and BMI at 6 years also increased (P<0.001). Mean birth weight and child BMI at 6 years differed significantly among the GWG groups. Furthermore, excess postpartum weight gain increased the risk of childhood overweight and obesity (odds ratio, 2.21; 95% confidence interval, 1.40-3.49). Excess weight gain during pregnancy should be avoided due to its short- and long-term association with childhood obesity. Owing to the high prevalence of excess GWG and childhood obesity, excess weight gain during pregnancy can have significant public health implications.

Prepregnancy body mass index and gestational weight gain are associated with maternal and infant adverse outcomes in Chinese women with gestational diabetes

The gestational weight gain (GWG) range of Chinese women with gestational diabetes mellitus (GDM) remains unclear. Our objective was to identify the ranges of GWG in Chinese women with GDM and to investigate the associations between prepregnancy body mass index (BMI), GWG and maternal-infant adverse outcomes. Cases of GDM women who delivered singletons from 2013 to 2018 in a public hospital were collected. Logistic regression analysis was used to assess the joint effects of prepregnancy BMI and GWG on maternal-infant adverse outcomes. Ultimately, 14,578 women were collected. The ranges of GWG in Chinese women with GDM were different from the National Academy of Medicine’s (NAM) recommendation. The ranges of GWG of Chinese women with GDM in the underweight, normal weight, overweight and obese groups were 5.95–21.95 kg, 4.23–21.83 kg, 0.88–21.12 kg and − 1.76 to 19.95 kg, respectively. The risks of large for gestational age (LGA), macrosomia and caesarean delivery were significantly increased with the increasing prepregnancy BMI. Furthermore, the risks of LGA, macrosomia and caesarean delivery were significantly higher in the normal weight group with a GWG higher than the NAM recommendation. Similarly, in the overweight group with a GWG higher than the NAM recommendation, the risks of LGA were significantly higher, while the risks of macrosomia were significantly lower. Overall, we determined the range of GWG in different prepregnancy BMI groups. And GDM women with high prepregnancy BMI and excessive GWG were associated with the higher risks of maternal-infants adverse outcomes in China.

Relationship between the pre-pregnancy BMI, gestational weight gain, and risk of preeclampsia and its subtypes

Objective: To explore the effects of maternal pre-pregnancy body mass index (BMI) and gestational weight gain and its subtypes on the risk of preeclampsia. Methods: Pregnant women delivered in the Department of Obstetrics and Gynecology of the First Affiliated Hospital of Shanxi Medical University from March 2012 to September 2016 were selected as the research subjects. According to the inclusion and exclusion criteria, 9 274 pregnant women were included. 901 preeclampsia pregnant women were selected as the case group, and 8 373 non-preeclampsia pregnant women were selected as the control group. General demographic characteristics, pre-pregnancy weight, height, lifestyle during pregnancy, reproductive history, and disease history of pregnant women were collected, and pre-pregnancy BMI and gestational weight gain were calculated. Unconditional logistic regression was used to analyze the relationship between pre-pregnancy BMI and weight gain during pregnancy and PE and its clinical subtypes. Results: Among the 901 preeclampsia after inclusion and exclusion, 401 cases were diagnosed as early-onset PE (EOPE), 500 cases were late-onset PE (LOPE), 178 cases were Mild PE (MPE), and 723 cases were severe PE (SPE). There were statistically significant differences between PE and non-PE pregnant women in terms of maternal age, residence, parity, family history of gestational diabetes and hypertension (P<0.05). After adjusting for the above factors, the logistic regression analysis results showed that pre-pregnancy BMI<18.5 kg/m2 and inadequate gestational weight gain were protective factors for PE (OR=0.74, 95%CI: 0.56-0.98; OR=0.78, 95%CI: 0.62-0.99), while pre-pregnancy BMI≥24.0 kg/m2 and excessive gestational weight gain were risk factors for PE (OR=1.82, 95%CI: 1.54-2.14; OR=1.82, 95%CI: 1.54-2.15). After subtype analysis on PE, the results showed that pre-pregnancy BMI<18.5 kg/m2 was a protective factor for EOPE and MPE (OR=0.52, 95%CI: 0.32-0.83; OR=0.47, 95%CI: 0.23-0.97), while pre-pregnancy BMI≥24.0 kg/m2 and excessive gestational weight gain were risk factors for clinical subtypes of PE. After stratification according to pre-pregnancy BMI, excessive gestational weight gain was the risk factor for PE (OR=1.86, 95%CI: 1.51-2.30; OR=1.90, 95%CI: 1.39-2.60) in pregnant women 18.5 kg/m2≤BMI<24.0 kg/m2 and ≥24.0 kg/m2. Inadequate gestational weight gain (OR=0.55, 95%CI: 0.34-0.89) was a protective factor for PE in pregnant women with pre-pregnancy BMI≥24.0 kg/m2. Excessive gestational weight gain (OR=4.05, 95%CI: 1.20-13.69) was a risk factor for EOPE in pregnant women with pre-pregnancy BMI<18.5 kg/m2. Excessive gestational weight gain was a risk factor for the clinical subtype of PE in pregnant women 18.5 kg/m2≤BMI<24.0 kg/m2 before pregnancy. Inadequate gestational weight gain was a protective factor for EOPE and MPE (OR=0.39, 95%CI: 0.19-0.80; OR=0.29, 95%CI: 0.11-0.77) in pregnant women with pre-pregnancy BMI≥24.0 kg/m2. Excessive weight gain was a risk factor for EOPE, LOPE and SPE (OR=1.60, 95%CI: 1.06-2.42;OR=2.20, 95%CI: 1.44-3.37;OR=2.28, 95%CI: 1.58-3.29). Conclusions: Pre-pregnancy BMI and gestational weight gain affect the risk of preeclampsia and its clinical subtypes. In contrast, the influence of gestational weight gain on preeclampsia varies among different pre-pregnancy BMI groups. Therefore, it is recommended to pay attention to the changes in pre-pregnancy BMI and gestational weight gain simultaneously to reduce preeclampsia.

Maternal weight gain and pregnancy outcomes in twin gestations

Data on the optimal gestational weight gain in twin pregnancies are limited. As a result, the Institute of Medicine currently provides only provisional recommendations on gestational weight gain in this population. This study aimed to identify the optimal range of gestational weight gain in twin pregnancies and to estimate the association between inappropriate gestational weight gain and adverse pregnancy outcomes. This was a retrospective cohort study of all women with twin pregnancies that were followed up in a single, tertiary center between 2000 and 2014. We used 2 approaches to identify the optimal range of gestational weight gain: a statistical approach (the interquartile range of gestational weight gain in low-risk pregnancies with normal outcomes) and an outcome-based approach (by identifying thresholds of gestational weight gain below or above which the rate of adverse outcomes increases). The primary outcome was preterm birth. Associations of gestational weight gain below or above the normal range with the study outcomes were estimated using logistic regression analysis and were expressed as adjusted odds ratio with 95% confidence intervals. These associations were stratified by prepregnancy body mass index group. A total of 1274 women with twin pregnancies met the study criteria: 43 were classified as underweight, 777 were normal weight, 278 were overweight, and 176 were obese. Our estimates of the optimal gestational weight gain range were similar to those recommended by the Institute of Medicine except for the obese category, in which our optimal gestational weight gain range at 37 weeks (9.3-16.3 kg) was lower than in the provisional Institute of Medicine recommendations (11.3-19.1 kg). Nearly half of our cohort experienced inappropriate gestational weight gain: 30% (n=381) gained weight below and 17% (n=216) gained weight above current Institute of Medicine recommendations. In the normal weight group, gestational weight gain below recommendations was associated with an increased risk of preterm birth and birthweight at the <10th centile and with a reduction in the risk of hypertensive disorders, whereas gestational weight gain above recommendations was associated with an increased risk of hypertensive disorders and a reduction in the risk of birthweight at the <10th centile. Associations were less consistent in the overweight and obese groups. These findings identify gestational weight gain as a potentially modifiable risk factor for preterm birth and other pregnancy complications in twin gestations. Further prospective studies are needed to determine whether interventions aimed at optimizing gestational weight gain can improve the outcomes of these high-risk pregnancies.

Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, China.

Background: Obesity and maternal age are the two most important factors independently affecting the risk of gestational diabetes mellitus (GDM). However, the age differences in the association between obesity and GDM remain unclear. The objectives of this cohort study included: (1) to determine the current incidence of GDM in Qingdao; and (2) to evaluate the risk factors for GDM, such as the interaction between pre-pregnancy body mass index (BMI) and age.Methods: The cohort included 17,145 pregnant women who registered at 15 to 20 gestational weeks from August 1, 2018, to March 1, 2019. A 75-g 2-h oral glucose tolerance test (OGTT) was conducted for each participant at 24–28 gestational weeks. The age-adjusted incidence of GDM was calculated using logistic regression. Multivariate logistic regression analysis was used to identify risk factors. Interaction between age (reference group <30 years) and BMI (reference group <25 kg/m2) was determined using strata-specific analysis.Results: The incidence and age-adjusted incidence of GDM in Qingdao were 17.42 and 17.45%, respectively. The incidence of GDM appeared to increase steadily with age in all pre-pregnancy BMI groups (all P < 0.05). Older age (≥30 years), gestational BMI gain from pre-pregnancy to 15–20 weeks of gestation, history of GDM and thyroid diseases were risk factors for GDM. There were significant interactions between pre-pregnancy BMI and age (P < 0.05) after adjustment for other confounders. The odds ratio (OR) of pre-pregnancy BMI ≥ 30 kg/m2 at the age of <30 years, 30–34 years and ≥35 years was 1.30 (95% CI: 0.74–2.28, P = 0.36), 3.21 (95% CI: 2.28–4.52, P < 0.0001) and 1.55 (95% CI: 1.02–2.36, P = 0.0424), respectively. This indicated that pre-pregnancy BMI ≥ 30 kg/m2 had a stronger effect on GDM in the group aged 30–34 years than those under 30 years old.Conclusions: The incidence of GDM was high in Qingdao. Overweight and obesity prior to pregnancy, gestational BMI gain from conception to 15–20 weeks of gestation and older age were correlated with an increased risk of GDM. Public health measures may be helpful to prevent excessive gestational weight gain.

Dose-Response Relationships between Breastfeeding and Postpartum Weight Retention Differ by Pre-Pregnancy Body-Mass Index in Taiwanese Women.

Postpartum weight retention (PWR) is a risk factor for future obesity. The role of breastfeeding in reducing PWR is not fully understood. We examined the relationship between PWR and the duration of exclusive/partial breastfeeding in 52,367 postpartum women from 2012–2016 Taiwan national breastfeeding surveys. The women were interviewed at 7–14 months postpartum. Non-linear models were fit to examine the association between PWR and breastfeeding duration. PWR adjusted means and 95% confidence intervals were plotted and compared for the duration of exclusive/partial breastfeeding in the total sample and between pre-pregnancy body-mass index (BMI) groups (underweight, normal, overweight, and obese). Women who breastfed exclusively for >30 days showed significantly lower PWR than those who did not breastfeed and those who breastfed partially for the same duration, thereafter each additional duration of 30 days being associated with an average of 0.1–0.2 kg less PWR. Women who breastfed partially for 120 days showed lower PWR than those who did not or those who ceased to breastfeed, thereafter each additional duration of 30 days being associated with an average of 0.1 kg less PWR. Duration of breastfeeding needed to achieve significantly less PWR differed between pre-pregnancy BMI groups, but the effect of exclusive breastfeeding appeared earlier in the normal weight group. Women with obesity who breastfed exclusively for >30 or partially for >180 days, had lower PWR than non-obese groups. The observed dose–response relationship between breastfeeding duration and PWR supports the “every feeding matters” approach in breastfeeding promotion. The larger effect of exclusive and partial breastfeeding on PWR in women with obesity may draw special attention of breastfeeding promotion.

Insulin resistance and pregnancy outcomes in gestational diabetes mellitus gravida complicated by chronic hypertension

Objective To analyze insulin resistance (IR) level and pregnancy outcomes in women with gestational diabetes mellitus (GDM) complicated by chronic hypertension (CHT). Methods This is a retrospective case-control study involving 2 457 singleton pregnant women complicated by GDM who received regular prenatal examinations and participated in the one-day-care clinic of GDM in Peking University First Hospital from January 1, 2014 to December 31, 2016. Clinical data were collected and homeostasis model assessment insulin resistance (HOMA-IR) was calculated. All subjects were divided into two groups: GDM with CHT group (CHT group, n=47) and GDM without CHT group (non-CHT group, n=2 410). Based on their pre-pregnancy body mass index (BMI), they were also grouped into normal pre-pregnancy BMI group (n=1 590) and overweight and obese group (n=863). Two-sample independent t test and Chi-square test were used to compared the age, HOMA-IR, pre-pregnancy BMI, weight gain during pregnancy and glucose levels between groups, and logistic regression model was used to analyze the effects of HOMA-IR on pregnancy outcomes. Results HOMA-IR (3.5±1.8 vs 2.6±1.5, t=-3.290), fasting plasma glucose [(5.4±0.5) vs (5.2±0.5) mmol/L, t=-3.005], pre-pregnancy BMI [(26.7±4.7) vs (23.3±3.4) kg/m2, t=-4.842] and the incidence of preeclampsia [14.9% (7/47) vs 2.5% (61/2 410), χ2=21.790] were significantly higher in GDM women with CHT than those without (all P 0.05). For pregnant women with normal pre-pregnancy BMI, HOMA-IR (3.0±1.5 vs 2.3±1.2, t=-2.217), fasting plasma glucose [(5.4±0.5) vs (5.1±0.5) mmol/L, t=-2.299] and the incidence of preeclampsia [2/14 vs 1.6% (26/1 576), χ2=6.545] were higher in the CHT group than the non-CHT group (all P 0.05). After adjusting for age, fasting plasma glucose, pre-pregnancy BMI and weight gain during pregnancy, the elevated HOMA-IR level increased the risk of preterm birth (OR=1.223, 95%CI: 1.093-1.369, P<0.001) in GDM women without CHT. Conclusions GDM gravida complicated by CHT have severe insulin resistance and a higher incidence of preeclampsia, but the risk of other pregnancy outcomes are not increased. Key words: Diabetes, gestational; Hypertension; Insulin resistance; Pregnancy outcome

Screening of gestational diabetes mellitus using fasting plasma glucose before the 24th gestational week in women with different pre-pregnancy body mass index

Background: Gestational Diabetes Mellitus (GDM) is usually diagnosed between 24th and 28th gestational week using the 75-g Oral Glucose Tolerance Test (OGTT). It is controversial that if FPG ≥92 mg/dL before 24th gestational week should be intervened or not. The aim of this study was to evaluate the value of FPG to screen GDM before 24th gestational week in women with different pre-pregnancy Body Mass Index (BMI).Methods: This was a hospital based retrospective cohort study done at CHC Balipatna, Khurdha, Odisha. Women who had a singleton live birth between June 20, 2016 and June 30, 2019, resided in Balipatna block area and received prenatal care in the Community Health Centre, were included in this study. Pre-pregnancy BMI, FPG before the 24th gestational week, and one-step GDM screening with 75 g-OGTT at the 24th to 28th gestational weeks were extracted from medical records and analyzed. The pregnant women were classified into four groups based on pre-pregnancy BMI: Group A (underweight), Group B (normal), Group C (overweight) and Group D (obesity). Statistical analysis using independent sample t-test, Analysis of Variance (ANOVA) and Pearson Chi-square test was done.Results: The prevalence of GDM was 20.0% (68/341) in the study population. FPG decreased gradually as the gestational age increased in all pre-pregnancy BMI groups until the 19th gestational week. The incidence of GDM in women with FPG ≥92 mg/dL in the 19th to 24th gestational weeks and pre-pregnancy overweight or obesity was significantly higher than that in women with FPG ≥92 mg/dL and pre-pregnancy BMI &lt;24.0 kg/m2.Conclusions: FPG decreased gradually as the gestational age increased in all pre-pregnancy BMI groups until the 19th gestational week. Pre-pregnancy overweight or obesity was associated with an increased FPG value before the 24th gestational week. FPG ≥92 mg/dL between 19 and 24 gestational weeks should be treated as GDM in women with pre-pregnancy overweight and obesity.

Associations between pre-pregnancy BMI, gestational weight gain, and prenatal diet quality in a national sample.

This secondary analysis explored the association between gestational weight gain, pre-pregnancy body mass index (BMI), and prenatal diet quality in a United States national sample. The sample comprised 1322 pregnant women in the longitudinal Infant Feeding Practices Study II with Diet History Questionnaire data. Diet quality in the third trimester was assessed using the Alternative Healthy Eating Index for Pregnancy. Self-reported pre-pregnancy BMI (categorized as underweight<18.5, normal weight 18.5–24.9, overweight 25.0–29.9, and obese≥30.0) and total gestational weight gain were used to categorize adherence to the Institute of Medicine’s recommendations as inadequate, adequate, or excessive weight gain. Diet quality in pre-pregnancy BMI and gestational weight gain groups were compared using Tukey-adjusted generalized linear models adjusted for sociodemographic factors, Women, Infants, and Children participation, parity, and energy intake. Due to missing gestational weight gain data, sensitivity analyses with multiply imputed data were conducted. Women were on average 28.9 years old and of higher socioeconomic status (40% college graduates) and mostly non-Hispanic White (84%), and the mean Alternative Healthy Eating Index for Pregnancy score was 61.2 (of 130). Both pre-pregnancy BMI and gestational weight gain were inversely associated with diet quality scores (p<0.01). The interaction between pre-pregnancy BMI and gestational weight gain was significant (p = 0.04), therefore gestational weight gain models were stratified by BMI group. In stratified adjusted models, gestational weight gain was differently associated with diet quality scores (p<0.05) among women with underweight, normal weight, overweight, and obesity. The relationship between gestational weight gain and prenatal diet quality depended on pre-pregnancy BMI. For example, within women with normal weight, higher diet quality was observed in the adequate gestational weight gain group. Interventions to broadly improve prenatal diet quality are needed, however, resources can be used to target women with higher pre-pregnancy BMIs and women with inadequate or excessive gestational weight gain.

Impact of service-wide initiatives to support healthy pregnancy weight gain on weight-related documentation.

Excess gestational weight gain is associated with adverse pregnancy outcomes. Addressing barriers to the provision of best practice care that supports healthy pregnancy weight gain could assist staff in clinical care; however, little is known about changes to staff practices after ameliorating barriers. To evaluate if service initiatives to promote healthy pregnancy weight gain improve weight-related documentation by antenatal staff throughout pregnancy care. Service initiatives including staff training, familiarisation with a pregnancy weight gain chart and placement of scales in clinic rooms were introduced. Pregnancy health records were audited for deliveries pre- (2014) and post-implementation (2017) to obtain weight-related measures. Measures assessed included the documentation of pre-pregnancy weight, height, pre-pregnancy body mass index (BMI), referral to dietetic services (if overweight) and the accuracy of pre-pregnancy BMI calculation. The proportion of visits with weight recorded during pregnancy was also audited. A total of 1003 and 1050 records were included from the pre- and post-intervention groups respectively. Significant improvements over time were observed in the documentation of pre-pregnancy weight (P<0.001), BMI (P<0.001), accuracy of BMI calculation (P<0.001) and for obese women proportion of visits with weight recorded (P=0.02). There was a non-significant increase in the documentation of dietetic referral for overweight women (1.1% vs 2.2%, P=0.27) and proportion of visits with weight recorded for women across all pre-pregnancy BMI groups (49% vs 51%, P=0.07). Addressing barriers to supporting healthy pregnancy weight gain through service-wide initiatives may improve weight-related documentation by antenatal staff.

Utilization of Iron in the Third Trimester of Pregnancy in Women with and Without Pre-pregnancy Obesity (P24-013-19)

ObjectivesObese women may be at risk for poor iron status in pregnancy due to pro-inflammatory driven overexpression of hepcidin that leads to decreased iron bioavailability. Our objective was to determine the impact of pre-pregnancy (PP) obesity on maternal iron utilization in the third trimester of a singleton pregnancy. MethodsUsing the stable isotope 57Fe prepared as an oral ferrous sulfate solution, we measured iron absorption based on red blood cell incorporation in 50 adult (mean age: 27.6 ± 6.8 years) pregnant women [n = 29 PP non-obese (body mass index (BMI) 18.5–29.9 kg/m2) and n = 21 PP obese (BMI ≥ 30.0 kg/m2] at the 32nd-34th gestational week (mean 32.7 ± 0.7 weeks). We also assessed maternal iron status, hepcidin, inflammation, erythropoietin, dietary iron intake and gestational weight gain. ResultsIron deficiency defined as hemoglobin < 11.0 g/dL was highly prevalent (PP obese 67% vs. PP non-obese 48%, P = 0.19). 57Fe utilization (PP non-obese 11.2% (interquartile range (IQR), 8.3) vs. PP obese 7.7% (IQR 8.9), P = 0.23), hepcidin, hemoglobin, and soluble transferrin receptor was similar between the PP BMI groups. PP obesity was associated with significantly higher ferritin, high sensitivity C-reactive protein, and total body iron. In the women who were non-obese PP, 57Fe utilization was not linearly associated with any of the iron-related or inflammatory indices tested. However, 57Fe utilization was significantly inversely associated with serum ferritin (r = −0.42) and serum hepcidin (r = −0.48) in women with PP obesity. In post-hoc analysis, compared to non-obese women, iron utilization was 23% lower in women with class 2 and 3 PP obesity and 3% lower in women with class 1 PP obesity, respectively. ConclusionsIron utilization from an oral ferrous sulfate solution in the third trimester of pregnancy was similar in women with and without PP obesity. Given the growing prevalence of class 2 and 3 obesity among reproductive age women, and the importance of iron for optimal maternal and fetal health, our post-hoc analysis suggests that future efforts should examine iron utilization in women with severe PP obesity. Funding SourcesRobert Wood Johnson Foundation, Nurse Faculty Scholars Program #72,117 and University of Illinois at Chicago Colleges of Nursing and Medicine.

Breastfeeding Difficulties, Breastfeeding Duration, Maternal Body Mass Index, and Breast Anatomy: Are They Related?

Objective: We examined the influence of maternal body mass index (BMI), and of breast and nipple anatomic variations, on breastfeeding difficulties and duration. Methods: In this prospective observational study, we collected demographic and anthropometric data from 109 mothers of full-term newborns. Women were classified as underweight, normal weight, overweight, and obese using the World Health Organization definitions and were otherwise healthy. Breast anthropometrics assessments were recorded after delivery and during hospitalization. Latching difficulties were collected as reported by the mothers. Breastfeeding duration was assessed by phone interview at 3, 6, 1 year, or more postdelivery. Results: The four prepregnancy BMI groups included 12 underweight, 59 normal weight, 20 overweight, and 18 obese women. The higher the BMI group, the larger the breast was (p = 0.005). In univariate regression, nipple diameter, nipple length, and areola diameter correlated significantly with breast size. The overall rate of latching difficulties was 15.5%, without significant differences among all four BMI groups. In multivariate analysis, the higher the BMI group the lower was the likelihood of breastfeeding at 6 months of age (odds ratio [OR] = 0.88, 95% confidence interval [CI]: 0.79-0.99), and the higher the birth order the higher was the likelihood of breastfeeding at 6 months of age (OR = 3.36, 95% CI: 1.44-7.83). Early latching difficulties predicted shorter breastfeeding duration. Conclusion: We conclude that high prepregnancy BMI has a negative impact on breastfeeding initiation and duration.