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Background: Pregnancy anxiety increases the risk of preterm birth but less is known about the impacts on glucose intolerance during pregnancy, such as gestational diabetes mellitus (GDM). The present study examined the relationship between pregnancy anxiety and the risk of GDM in a prospective cohort Centering and Racial Disparities (CRADLE) study of racially diverse pregnant women in the United States. Methods: This is a prospective analysis among racially diverse pregnant women in the United States who enrolled in the CRADLE study. Pregnancy anxiety was assessed twice using the Pregnancy-Specific Anxiety Scale (PSAS): the baseline survey at <20 gestational weeks (GW) and the second survey at >30 GW. GDM was screened at 24–30 GW and diagnosed based on the Carpenter and Coustan criteria. The associations of baseline PSAS score (>9 [median] versus ≤9) and PSAS score change with GDM risk were estimated using multivariable logistic regressions with adjustment for potential confounders. Results: Among a total of 2,310 women (40.74% Black, 20.91% Hispanic), 154 (6.67%) developed GDM. No association was found between baseline PSAS and GDM (adjusted odds ratio [OR]: 0.99; 95% confidence interval [CI]: 0.70–1.42) after adjusting for confounders. Individuals with an increased PSAS during pregnancy had 52% higher GDM risk (adjusted OR: 1.52, 95% CI: 1.04–2.23) compared with those with no change or decreased scores. Conclusions: Pregnant individuals who increased their pregnancy-specific anxiety level during pregnancy had a higher risk of developing GDM. Clinical Trials Registration Identifier: NCT02640638. Registered with ClinicalTrials.gov December 29, 2015. Study recruitment began February 24, 2016. URL of ClincialTrials.gov registration site: https://clinicaltrials.gov/ct2/show/NCT02640638?term=NCT02640638&draw=2&rank=1 [ABSTRACT FROM AUTHOR]

Background: Breastfeeding provides many short- and long-term health benefits for mothers and their infants and is a particularly relevant strategy for women who experience Gestational Diabetes Mellitus (GDM) during pregnancy. However, breastfeeding rates are generally lower amongst this group of women than the general population. This review's objective is to identify the factors that influence breastfeeding by exploring the experiences and outcomes of women in in high-income health care contexts when there is a history of GDM in the corresponding pregnancy. Methods: A comprehensive search strategy explored the electronic databases Medline, CINAHL, Web of Science and Scopus for primary studies exploring breastfeeding practices for papers published between January 2011 and June 2023. All papers were screened independently by two researchers with included papers assessed using the Crowe Critical Appraisal tool. Findings were analysed using a narrative synthesis framework. Results: From an initial search result of 1037 papers, 16 papers representing five high-income nations were included in this review for analysis – the United States of America (n = 10), Australia (n = 3), Finland (n = 1), Norway (n = 1), and Israel (n = 1). Fifteen papers used a quantitative design, and one used a qualitative design. The total number of participants represented in the papers is 963,718 of which 812,052 had GDM and 151,666 did not. Women with an immediate history of GDM were as likely to initiate breastfeeding as those without it. However, they were more likely to have the first feed delayed, be offered supplementation, experience delayed lactogenesis II and or a perception of low supply. Women were less likely to exclusively breastfeed and more likely to completely wean earlier than the general population. Maternity care practices, maternal factors, family influences, and determinants of health were contextual and acted as either a facilitator or barrier for this group. Conclusion: Breastfeeding education and support need to be tailored to recognise the individual needs and challenges of women with a history of GDM. Interventions, including the introduction of commercial milk formula (CMF) may have an even greater impact and needs to be very carefully considered. Supportive strategies should encompass the immediate and extended family who are major sources of influence. [ABSTRACT FROM AUTHOR]

Objective The aim of this study is to examine the association of breastfeeding with metabolic syndrome (MetS) in women with recent gestational diabetes mellitus (GDM) in the very early postpartum (PP) period. Study Design We performed a secondary analysis of the Balance After Baby Intervention (BABI) study which enrolled women with recent GDM. Data collected during an early (~8 weeks) PP visit were used in this analysis. At this visit, weight, height, waist circumference (WC), blood pressure (BP), fasting plasma glucose (FPG), and lipids were obtained. MetS was classified per National Cholesterol Education Program Adult Treatment Program III (NCEP-ATP III) criteria. We defined breastfeeding as currently breastfeeding or not currently breastfeeding for the main analysis. Results Of 181 women enrolled in BABI, 178 were included in this analysis (3 excluded for missing lipids). Thirty-four percent were Hispanic. Of non-Hispanics, 31.5% were White, 18.5% Asian, and 12.9% Black/African American. The prevalence of MetS was 42.9% in women not breastfeeding versus 17.1% in women breastfeeding (p < 0.001; adjusted odds ratio [aOR] = 0.16 [95% confidence interval (CI): 0.06–0.41]). Breastfeeding women had significantly lower odds of FPG ≥100 mg/dL (aOR = 0.36 [95% CI: 0.14–0.95], p = 0.039), HDL < 50 mg/dL (aOR = 0.19 [95% CI: 0.08–0.46], p < 0.001), and triglycerides (TG) ≥ 150 mg/dL (aOR = 0.26 [95% CI: 0.10–0.66], p = 0.005). When evaluated as continuous variables, WC, FPG, and TG were significantly lower and HDL significantly higher in women breastfeeding in the very early PP period (vs. not breastfeeding). Conclusion In a diverse population of women with recent GDM, there was lower prevalence of MetS in women breastfeeding compared with those not breastfeeding in the very early PP period. This study extends the findings of an association of breastfeeding with MetS previously reported at time points more remote from pregnancy to the very early PP period and to an ethnically and racially diverse population. Key Points MetS prevalence in women with recent GDM was lower in breastfeeding than not breastfeeding women. FPG, HDL, WC, and TG were improved in the breastfeeding group. This study extends prior findings to the very early PP period and to a diverse population. [ABSTRACT FROM AUTHOR]

Background: Gestational diabetes mellitus (GDM) has been rising in the United States, and it poses significant health risks to pregnant individuals and their infants. Prior research has shown that individuals with GDM also experience prevalent stress and mental health issues, which can further contribute to glucose regulation difficulties. Stigma associated with GDM may contribute to these mental health challenges, yet there is a lack of focused research on GDM-related stigma, its impact on psychological health, and effective coping mechanisms. Thus, this qualitative study aims to understand individuals' experiences related to GDM stigma, mental health, and facilitative coping. Methods: In-depth, semi-structured interviews were conducted with 14 individuals with a current or recent (within the last year) diagnosis of GDM. Thematic analysis was employed to guide data analysis. Results: Four themes emerged from data analysis: (1) experience of distal GDM stigma including stigmatizing provider interactions, stigma from non-medical spaces, and intersecting stigma with weight, (2) internalized GDM stigma, such as shame, guilt, and self-blame, (3) psychological distress, which included experiences of stress and overwhelm, excessive worry and fear, and loneliness and isolation, and (4) facilitative coping mechanisms, which included diagnosis acceptance, internet-based GDM community, active participation in GDM management, social and familial support, and time for oneself. Conclusions: Findings demonstrate the relevance of GDM stigma in mental health among people with GDM and the need for addressing GDM stigma and psychological health in this population. Interventions that can reduce GDM stigma, improve psychological wellness, and enhance positive coping may facilitate successful GDM management and healthy birth outcomes. Future quantitative, theory-driven research is needed to understand the prevalence of GDM stigma experiences and mechanisms identified in the current study, as well as among marginalized populations (e.g., individuals of color, sexual and gender minorities). [ABSTRACT FROM AUTHOR]

Gestational and pregestational diabetes during pregnancy are substantial and growing public health issues. Low-income individuals and individuals who identify as racial and ethnic minorities are disproportionately affected. Food security, which is defined as the degree to which individuals have capacity to access and obtain food, is at the center of nutritional resources and decisions for individuals with diabetes. While increasingly recognized as an important mediator of health disparities in the United States, food insecurity is understudied during pregnancy and specifically among pregnant individuals with diabetes, for whom the impact of food-related resources may be even greater. Previous research has suggested that food insecurity is associated with type 2 diabetes mellitus diagnoses and disease exacerbation in the general adult population. An emerging body of research has suggested that food insecurity during pregnancy is associated with gestational diabetes mellitus diagnoses and adverse diabetes-related outcomes. Additionally, food insecurity during pregnancy may be associated with adverse maternal and neonatal outcomes. Future research and clinical work should aim to further examine these relationships and subsequently develop evidence-based interventions to improve diabetes-related outcomes among pregnant individuals with food insecurity. The purpose of this article is to offer a working definition of food security, briefly review issues of food insecurity and diabetes, summarize research on food insecurity and diabetes-related pregnancy health, and discuss clinical recommendations and areas for future investigation. Key Points Research on food insecurity and diabetes-related health is limited. The impact of food security on diabetes management and obstetric outcomes is likely significant. Future work to evaluate perinatal food security screening is warranted. [ABSTRACT FROM AUTHOR]

We aimed to examine the association between the quantity and quality of dietary fat in early pregnancy and gestational diabetes mellitus (GDM) risk. In total, 1477 singleton pregnant women were included from Sichuan Provincial Hospital for Women and Children, Southwest China. Dietary information was collected by a 3-d 24-h dietary recall. GDM was diagnosed based on the results of a 75-g, 2-h oral glucose tolerance test at 24–28 gestational weeks. Log-binomial models were used to estimate relative risks (RR) and 95% CI. The results showed that total fat intake was positively associated with GDM risk (Q4 v. Q1: RR = 1·40; 95 % CI 1·11, 1·76; P trend = 0·001). This association was also observed for the intakes of animal fat and vegetable fat. After stratified by total fat intake (< 30 %E v. ≥ 30 %E), the higher animal fat intake was associated with higher GDM risk in the high-fat group, but the moderate animal fat intake was associated with reduced risk of GDM (T2 v. T1: RR = 0·65; 95 % CI 0·45, 0·96) in the normal-fat group. Vegetable fat intake was positively associated with GDM risk in the high-fat group but not in the normal-fat group. No association between fatty acids intakes and GDM risk was found. In conclusion, total fat, animal and vegetable fat intakes were positively associated with GDM risk, respectively. Whereas when total fat intake was not excessive, higher intakes of animal and vegetable fat were likely irrelevant with increased GDM risk, even the moderate animal fat intake could be linked to lower GDM risk. [ABSTRACT FROM AUTHOR]

Background: To evaluate the association between gestational diabetes mellitus (GDM) and infant outcomes in women of very advanced maternal age (vAMA) (≥45 years). Methods: This cohort study utilized data from the National Vital Statistics System (NVSS) database (2014–2019) in the United States. Preterm birth was the primary outcome, which was subdivided into extremely preterm, very preterm, and moderate or late preterm. The secondary outcomes were neonatal intensive care unit (NICU) admission, low birthweight and small for gestational age. Univariate and multivariate logistic regression analyses were used to explore the association between GDM and infant outcomes among vAMA women. Subgroup analyses were performed based on race and use of infertility treatment. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated. Results: A total of 52,544 vAMA pregnant women were included. All analysis made comparisons between women with vAMA and GDM and women with vAMA and no GDM. Women with GDM had a significantly higher risk of preterm birth than those without GDM (OR = 1.26, 95%CI = 1.18–1.36, P < 0.001). Compared with women without GDM, those with GDM had a significantly increased risk of moderate or late preterm birth (OR = 1.27, 95%CI = 1.18–1.37, P < 0.001); no significant association of GDM with extremely preterm birth and very preterm birth was observed. Women with GDM had a significantly greater risk of NICU admission than those without (OR = 1.33, 95%CI = 1.23–1.43, P < 0.001). GDM was associated with a significantly lower risk of low birthweight (OR = 0.91, 95%CI = 0.84–0.98, P = 0.010), and no significant association was found between GDM and small for gestational age (OR = 0.95, 95%CI = 0.87–1.03, P = 0.200) in vAMA women. Conclusion: vAMA women with GDM had an increased risk of preterm birth, especially moderate or late preterm birth. NICU admission and low birthweight were also associated with GDM among vAMA women. [ABSTRACT FROM AUTHOR]

Aim: In the current study, we purposed to examine the role of insufficient weight gain after GDM diagnosis in small for gestational age (SGA) and other adverse perinatal outcomes. Materials and Methods: This retrospective cohort study conducted in a referral center over a 5-year period from 2017 through 2022 and 260 pregnant women who met the inclusion criteria were classified as insufficient weight gain (n:68) or appropriate weight gain as a control group (n:192) based on the United States Institute of Medicine (IOM) recommendations for body mass index as calculated by gestational weight gain per week after a diagnosis of GDM. Results: Maternal demographic characteristics and delivery outcomes were similar between groups. BMI at the first visit, BMI at GDM screening, and BMI at delivery were significantly higher in the appropriate gain group compared to the insufficient gain group. After adjusting for the variables, we observed that insufficient weight gain after a GDM diagnosis was not associated with SGA (adjusted odds ratio [aOR], 1.964; 95% confidence interval [CI], 0.306-12.590). In addition, we found that other variables such as the prematurity (aOR, 1.205; 95% CI, 0.335-4.320) and NICU admission rates (aOR, 2.361; 95% CI, 0.456-12.231) were not associated with insufficient weight gain after a GDM diagnosis. Conclusion: Our results indicate that insufficient weight gain after a GDM diagnosis is not a risk factor for SGA, prematurity, and NICU admission rates. [ABSTRACT FROM AUTHOR]

Nonalcoholic fatty liver disease (NAFLD) affects 30% of adults in the United States. Transient elastography (TE) (Fibroscan, Echosens, Paris, France) with controlled attenuation parameter (CAP) is a noninvasive way to evaluate liver steatosis and liver stiffness. The primary objective of this study was to assess prevalence of elevated liver stiffness and steatosis immediately postpartum. Furthermore, we sought to evaluate whether there were differences in rates of metabolic disorders of pregnancy (gestational diabetes mellitus (GDM), gestational hypertension, and preeclampsia) and pre-pregnancy conditions (type 2 diabetes mellitus (DM), chronic hypertension, and obesity) in those with elevated postpartum liver steatosis/liver stiffness. IRB approved prospective cross-sectional study in which TE and liver function tests were performed 1–2 days postpartum. CAP ≥300 dB/m was classified as significant steatosis. Increased liver stiffness was defined as ≥7 kPa. Prevalence was determined by proportion of individuals undergoing TE/CAP who met criteria. Chi-square analysis was used to compare differences between groups. Eighty-nine patients were included: 20 (22%) had GDM, 13 (15%) had gestational hypertension, and 15 (17%) had preeclampsia. Women with kPa ≥7 were more likely to have ALT ≥25, type 2 diabetes, and preeclampsia (p <.05). Pre-gravid BMI, BMI at delivery, and GDM were not associated with increased kPa. Pregravid BMI ≥25 and chronic hypertension were associated with CAP ≥ 300 dB/m (p <.05). GDM, preeclampsia, and gestational hypertension were not associated with CAP ≥300 dB/m. Patients with preeclampsia, type 2 diabetes, and elevated ALT were more likely to have elevated postpartum liver stiffness. Pregravid BMI ≥25 and ≥30 were associated with increased liver steatosis, although did not impact liver stiffness. GDM was not associated with increased liver stiffness or steatosis. Consideration should be made for screening pregnant patients with preeclampsia, type 2 DM and overweight or obese BMI for liver disease in the postpartum period with potential for lifestyle intervention. [ABSTRACT FROM AUTHOR]

Background: Cardiometabolic index (CMI) is a novel marker of diabetes mellitus. However, few studies have examined its association with gestational diabetes mellitus (GDM) risk. This study aimed to explore the association between CMI and GDM risk among pregnant women in the United States., Methods: We performed a cross-sectional study utilizing data recorded in the National Health and Nutrition Examination Survey database from 1999 to 2018. Univariate and multivariate logistic regression, restricted cubic splines (RCS), sensitivity, and subgroup analyses were performed to clarify the relationship between CMI and GDM risk., Results: A total of 710 pregnant women were recruited, among whom 113 were diagnosed with GDM based on established criteria. This population showed a significant association between a higher CMI value and GDM (odds ratio: 1.75, 95% confidence interval: 1.03-2.99, P = 0.038). RCS regression analysis identified a linear relationship between CMI and GDM (P-value < 0.001, P-nonlinear = 0.702). Sensitivity analysis further confirmed the validity of this relationship. Subgroup analysis indicated a positive association between CMI and GDM among women who drink or smoke and Mexican Americans., Conclusion: This study demonstrates a significant positive association between CMI and GDM risk, suggesting that a higher CMI predicts GDM incidence during pregnancy. Further research is required to investigate the CMI index as an early predictor of GDM., Competing Interests: Compliance with ethical standards. Conflict of interest: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Objectives: Diet is an important factor in gestational health. Many pregnant women have suboptimal diets and dairy foods are an excellent source of key nutrients. The aim of this work was to investigate the relationships between dairy consumption (cup equivalents/day) or diet quality assessed using the Healthy Eating Index-2015 and gestational diabetes mellitus (GDM) or gestational weight gain (GWG) among pregnant women in the United States (US). Methods: Study populations were subsets of pregnant, non-lactating women (20–44 years) in the National Health and Nutrition Examination Surveys 2003–2016, which was approved by the National Center for Health Statistics Research Ethics Review Board. GDM and GWG were classified according to national guidelines. General characteristics were compared across categories of dietary variables. Adjusted regression models estimated associations between diet and GDM and GWG. Results: No statistically significant linear associations between dairy consumption or diet quality and GDM or GWG were observed. Conclusions for Practice: Future research should aim to address the limitations of the current cross-sectional analyses and further elucidate the underlying relationships between diet and gestational health. [ABSTRACT FROM AUTHOR]

Objectives: Racial disparities in preexisting diabetes mellitus (PDM) and gestational diabetes mellitus (GDM) remain largely unexplored. We examined national PDM and GDM prevalence trends by race/ethnicity and the association between these conditions and fetal death.Methods: This was a retrospective cross-sectional analysis of 69,539,875 pregnancy-related hospitalizations from 2002 to 2017 including 674,040 women with PDM (1.0%) and 2,960,797 (4.3%) with GDM from the US Nationwide Inpatient Sample Survey. Joinpoint regression was used to evaluate trends in prevalence. Survey logistic regression was used to evaluate the association between exposures (PDM and GDM) and outcome.Results: Overall, the average annual increase in prevalence was 5.2% (95% confidence interval [CI] 4.2-6.2) for GDM and 1.0% (95% CI -0.1 to 2.0) for PDM, during the study period. Hispanic (average annual percentage change 5.3, 95% CI 3.6 - 7.1) and non-Hispanic Black (average annual percentage change 0.9, 95% CI 0.1 - 1.7) women had the highest average annual percentage increase in the prevalence of GDM and PDM, respectively. After adjustment, the odds of stillbirth were highest for Hispanic women with PDM (odds ratio 2.41, 95% CI 2.23-2.60) and decreased for women with GDM (odds ratio 0.51, 95% CI 0.50-0.53), irrespective of race/ethnicity.Conclusions: PDM and GDM prevalence is increasing in the United States, with the highest average annual percentage changes seen among minority women. Furthermore, the reasons for the variation in the occurrence of stillbirths among mothers with PDM and GDM by race/ethnicity are not clear and warrant additional research. [ABSTRACT FROM AUTHOR]

Most women in the United States do not meet the recommendations for healthful nutrition and weight before and during pregnancy. Women and providers often ask what a healthy diet for a pregnant woman should look like. The message should be "eat better, not more." This can be achieved by basing diet on a variety of nutrient-dense, whole foods, including fruits, vegetables, legumes, whole grains, healthy fats with omega-3 fatty acids that include nuts and seeds, and fish, in place of poorer quality highly processed foods. Such a diet embodies nutritional density and is less likely to be accompanied by excessive energy intake than the standard American diet consisting of increased intakes of processed foods, fatty red meat, and sweetened foods and beverages. Women who report "prudent" or "health-conscious" eating patterns before and/or during pregnancy may have fewer pregnancy complications and adverse child health outcomes. Comprehensive nutritional supplementation (multiple micronutrients plus balanced protein energy) among women with inadequate nutrition has been associated with improved birth outcomes, including decreased rates of low birthweight. A diet that severely restricts any macronutrient class should be avoided, specifically the ketogenic diet that lacks carbohydrates, the Paleo diet because of dairy restriction, and any diet characterized by excess saturated fats. User-friendly tools to facilitate a quick evaluation of dietary patterns with clear guidance on how to address dietary inadequacies and embedded support from trained healthcare providers are urgently needed. Recent evidence has shown that although excessive gestational weight gain predicts adverse perinatal outcomes among women with normal weight, the degree of prepregnancy obesity predicts adverse perinatal outcomes to a greater degree than gestational weight gain among women with obesity. Furthermore, low body mass index and insufficient gestational weight gain are associated with poor perinatal outcomes. Observational data have shown that first-trimester gain is the strongest predictor of adverse outcomes. Interventions beginning in early pregnancy or preconception are needed to prevent downstream complications for mothers and their children. For neonates, human milk provides personalized nutrition and is associated with short- and long-term health benefits for infants and mothers. Eating a healthy diet is a way for lactating mothers to support optimal health for themselves and their infants. [ABSTRACT FROM AUTHOR]

Background: Gestational Diabetes Mellitus (GDM) affects between 2 and 10% of pregnancies in the United States, with trends of increasing prevalence and a significant amount of variability across race and ethnicity, maternal age, and insurance status. Asian and Native Hawaiian or Other Pacific Islanders (NHOPI) have been documented to have a higher prevalence and risk of developing GDM compared to non-Hispanic white populations and have been under-studied in health disparities research., Methods: Using data from the Pregnancy Risk Assessment Monitoring System (PRAMS) 2016-2022 surveys, we conducted analyses for the overall PRAMS sample as well as within-group analyses among participants who identify as Asian and NHOPI to identify risk factors for GDM. Descriptive statistics were also collected in the Asian and NHOPI subsample, stratified by Asian and NHOPI ethnicity. Bivariate analyses were performed to explore the relationship between potential GDM risk factors among the overall analytic sample and within the Asian and NHOPI subsample, and multivariable logistic regression was used to investigate potential predictors of GDM., Results: Asian and NHOPI ethnicities differed by prevalence of GDM at 17.2%, 19.56%, 10.8%, 10.71%, and 18.49% for Chinese, Filipino, Japanese, Native Hawaiian/Other Pacific Islander, and Other Asian, respectively. Compared to White individuals (reference group), the odds of GDM were higher for Asian and Native Hawaiian/Other Pacific Islander individuals in the adjusted model (adjusted odds ratio (aOR) = 2.19, 95% CI: 2.62-2.9). Native mothers also demonstrated significantly elevated odds (aOR = 1.48, 95% CI: 1.4-1.6), while Mixed-race individuals exhibited slightly increased odds (OR = 1.22, 95% CI: 1.14-1.29). The findings revealed notable variability in GDM risk factors across ANHOPI subgroups. Obesity emerged as a consistent and strong predictor of GDM across all groups, while other factors such as interpersonal violence exposure and prenatal depression demonstrated limited or subgroup specific effects., Conclusion: This analysis of 2016 to 2022 PRAMS data illustrated significant variations of GDM predictors between the general population and the Asian and NHOPI population, as well as differences between Asian and NHOPI ethnicities., Competing Interests: Declarations. Ethics approval and consent to participate: The study was performed in accordance with the Declaration of Helsinki. The study was approved by the Centers for Disease Control and Prevention in accordance with the data usage agreement for the Pregnancy Risk Assessment Monitoring System. All participants provided informed consent. As this retrospective secondary analysis was conducted using a dataset available to the public (i.e., Phase 8 PRAMS data from all available states from 2016 to 2022), it was considered exempt from review by the Institutional Review Board (IRB) at Brown University. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

Aims: This study aimed to examine the individual and joint associations of adverse childhood experiences (ACEs) and maternal work and non-work related stressors with the risk of gestational diabetes mellitus (GDM)., Methods: Working pregnant individuals (n = 1163) from a United States (U.S.) prospective cohort conducted in South Carolina between 2016 and 2021 were included in the study. ACEs were assessed at study enrollment before 20 gestational weeks (GW), while maternal stressors were assessed in late pregnancy and GDM diagnosis occurred between 24 and 30 GW. Multivariable logistic regressions were performed to assess associations of ACEs and maternal stressors with GDM., Results: Childhood abuse, an ACE subdomain, was associated with an elevated but statistically insignificant risk of GDM (adjusted OR = 1.47; 95 % CI: 0.85-2.53). Only maternal work stressors were associated with an increased risk of GDM (adjusted OR = 2.11; 95 % CI: 1.17-3.79) and the association became much stronger among those with childhood abuse experiences (adjusted OR = 3.80; 95 % CI:1.68-8.60)., Conclusion: Among U.S. working pregnant individuals, having work stressors during pregnancy was associated with an elevated risk of developing GDM, particularly among those who had childhood experience of abuse., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Inc.)

In the United States, the common approach to detecting gestational diabetes mellitus is the 2-step protocol recommended by the American College of Obstetricians and Gynecologists. A 50 g, 1-hour glucose challenge at 24 to 28 weeks' gestation is followed by a 100 g, 3-hour oral glucose tolerance test when a screening test threshold is exceeded. Notably, 2 or more elevated values diagnose gestational diabetes mellitus. The 2-step screening test is administered without regard to the time of the last meal, providing convenience by eliminating the requirement for fasting. However, depending upon the cutoff used and population risk factors, approximately 15% to 20% of screened women require the 100 g, 3-hour oral glucose tolerance test. The International Association of Diabetes and Pregnancy Study Groups recommends a protocol of no screening test but rather a diagnostic 75 g, 2-hour oral glucose tolerance test. One or more values above threshold diagnose gestational diabetes mellitus. The 1-step approach requires that women be fasting for the test but does not require a second visit and lasts 2 hours rather than 3. Primarily because of needing only a single elevated value, the 1-step approach identifies 18% to 20% of pregnant women as having gestational diabetes mellitus, 2 to 3 times the rate with the 2-step procedure, but lower than the current United States prediabetes rate of 24% in reproductive aged women. The resources needed for the increase in gestational diabetes mellitus are parallel to the resources needed for the increased prediabetes and diabetes in the nonpregnant population. A recent randomized controlled trial sought to assess the relative population benefits of the above 2 approaches to gestational diabetes mellitus screening and diagnosis. The investigators concluded that there was no significant difference between the 2-step screening protocol and 1-step diagnostic testing protocol in their impact on population adverse short-term pregnancy outcomes. An accompanying editorial concluded that perinatal benefits of the 1-step approach to diagnosing gestational diabetes mellitus "appear to be insufficient to justify the associated patient and healthcare costs of broadening the diagnosis." We raise several concerns about this conclusion. The investigators posited that a 20% improvement in adverse outcomes among the entire pregnancy cohort would be necessary to demonstrate an advantage to the 1-step approach and estimated the sample size based on that presumption, which we believe to be unlikely given the number of cases that would be identified. In addition, 27% of the women randomized to the 1-step protocol underwent 2-step testing; 6% of the study cohort had no testing at all. A subset of women assigned to 2-step testing did not meet the criteria for gestational diabetes mellitus but were treated as such because of elevated fasting plasma glucose levels, presumably contributing to the reduction in adverse outcomes but not to the number of gestational diabetes mellitus identified, increasing the apparent efficacy of the 2-step approach. No consideration was given to long-term benefits for mothers and offspring. All these factors may have contributed to obscuring the benefits of 1-step testing; most importantly, the study was not powered to identify what we understand to be the likely impact of 1-step testing on population health. [ABSTRACT FROM AUTHOR]

Context: Gestational diabetes is associated with a long-term risk of developing a disorder of glucose metabolism. However, neither the metabolic changes characteristic of gestational diabetes in a large, multi-ancestry cohort nor the ability of metabolic changes during pregnancy, beyond glucose levels, to identify women at high risk for progression to a disorder of glucose metabolism has been examined.Objective: This work aims to identify circulating metabolites present at approximately 28 weeks' gestation associated with gestational diabetes mellitus (GDM) and development of a disorder of glucose metabolism 10 to 14 years later.Methods: Conventional clinical and targeted metabolomics analyses were performed on fasting and 1-hour serum samples following a 75-g glucose load at approximately 28 weeks' gestation from 2290 women who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Postpartum metabolic traits included fasting and 2-hour plasma glucose following a 75-g glucose load, insulin resistance estimated by the homeostasis model assessment of insulin resistance, and disorders of glucose metabolism (prediabetes and type 2 diabetes) during the HAPO Follow-Up Study.Results: Per-metabolite analyses identified numerous metabolites, ranging from amino acids and carbohydrates to fatty acids and lipids, before and 1-hour after a glucose load that were associated with GDM as well as development of a disorder of glucose metabolism and metabolic traits 10 to 14 years post partum. A core group of fasting and 1-hour metabolites mediated, in part, the relationship between GDM and postpartum disorders of glucose metabolism, with the fasting and 1-hour metabolites accounting for 15.7% (7.1%-30.8%) and 35.4% (14.3%-101.0%) of the total effect size, respectively. For prediction of a postpartum disorder of glucose metabolism, the addition of circulating fasting or 1-hour metabolites at approximately 28 weeks' gestation showed little improvement in prediction performance compared to clinical factors alone.Conclusion: The results demonstrate an association of multiple metabolites with GDM and postpartum metabolic traits and begin to define the underlying pathophysiology of the transition from GDM to a postpartum disorder of glucose metabolism. [ABSTRACT FROM AUTHOR]

Background: Asian/Pacific Islander (API) communities in the United States often reside in metropolitan areas with distinct social and environmental attributes. Residence in an ethnic enclave, a socially distinct area, is associated with lower gestational diabetes mellitus (GDM) risk, yet exposure to high levels of air pollution, including volatile organic compounds (VOCS), is associated with increased GDM risk. We examined the joint effects of ethnic enclaves and VOCs to better understand GDM risk among API women, the group with the highest prevalence of GDM.Methods: We examined 9069 API births in the Consortium on Safe Labor (19 hospitals, 2002-2008). API ethnic enclaves were defined as areas ≥66th percentile for percent API residents, dissimilarity (geographic dispersal of API and White residents), and isolation (degree that API individuals interact with another API individual). High levels of 14 volatile organic compounds (VOC) were defined as ≥75th percentile. Four joint categories were created for each VOC: Low VOC/Enclave (reference group), Low VOC/No Enclave, High VOC/Enclave, High VOC/No Enclave. GDM was reported in medical records. Hierarchical logistic regression estimated odds ratios (OR) and 95% confidence intervals (95%CI) between joint exposures and GDM, adjusted for maternal factors and area-level poverty. Risk was estimated for 3-months preconception and first trimester exposures.Results: Enclave residence was associated with lower GDM risk regardless of VOC exposure. Preconception benzene exposure was associated with increased risk when women resided outside enclaves [High VOC/No Enclave (OR:3.45, 95%CI:1.77,6.72)], and the effect was somewhat mitigated within enclaves, [High VOC/Enclave (OR:2.07, 95%:1.09,3.94)]. Risks were similar for 12 of 14 VOCs during preconception and 10 of 14 during the first trimester.Conclusions: API residence in non-enclave areas is associated with higher GDM risk, regardless of VOC level. Ethnic enclave residence may mitigate effects of VOC exposure, perhaps due to lower stress levels. The potential benefit of ethnic enclaves warrants further study. [ABSTRACT FROM AUTHOR]

Background: The risk of developing type 2 diabetes mellitus (T2DM) is up to 50% among women with gestational diabetes mellitus (GDM). However, diabetes education during and after pregnancy is limited. To bridge this gap, our team developed four training modules on GDM for nurses and community health workers. This pilot study assesses changes in knowledge, self-efficacy for providing diabetes education, attitudes, and intentions to recommend diabetes prevention before and after training completion., Methods: Interactive online modules were disseminated to clinical staff providing care for women with GDM in the United States. Optional pre- and post-training surveys were conducted to gauge the effectiveness of the modules. GDM knowledge (scoring 0-100) was evaluated with a 23 question assessment with total score and individual module scores reported [(# correct/# total)*100]. Self-efficacy for providing diabetes education (scoring 1-10) was evaluated with a 15-question survey and intention to recommend diabetes prevention (scoring 1-5) was assessed with an 8-item survey. Attitudes were assessed with three subscales of the Diabetes Attitude Scale (scoring 1-5). Changes in scores on each scale before and after training are reported using non-parametric Wilcoxon matched-pair signed rank tests., Results: Eighty-two individuals completed baseline evaluation and 20 individuals accessed all modules and completed post-training assessments. Among those completing the training, improvement was noted in GDM knowledge [56.5 (16.0) v. 78.3 (22.0), p < 0.001], self-efficacy for providing diabetes education [6.60 (2.73) v. 9.33 (0.87), p < 0.001], attitudes toward the value of tight control [4.07 (0.79) v. 4.43 (0.86), p = 0.003], and intentions to recommend diabetes prevention measures [4.81 (0.63) v. 5.00 (0.00), p = 0.009)]., Conclusions: Completion of our interactive online modules improved knowledge, intention to recommend diabetes prevention, self-efficacy to provide diabetes education, and attitudes toward the value of tight control among individuals caring for women with GDM., Trial Registration: This study was registered at clinicaltrials.gov, identifier: NCT04474795., (© 2024. The Author(s).)

Objective: To investigate relationships between prognostic nutritional index (PNI) during pregnancy and risk of all-cause mortality (ACM) and cardiovascular disease (CVD) mortality in persons with gestational diabetes mellitus (GDM)., Methods: A cross-sectional study was conducted using NHANES data from 2007 to 2018, and weighted Cox regression models were established. Restricted cubic spline analysis was used to unveil associations of PNI with risk of ACM and CVD mortalities in individuals with GDM. Receiver operating characteristic curve was employed for determination of threshold value for association of PNI with mortality. Sensitivity analysis was performed to verify the stability of the results., Results: 734 GDM individuals and 7987 non-GDM individuals were included in this study. In GDM population, after adjusting for different categorical variables, PNI was significantly negatively correlated with ACM risk. Subgroup analysis showed that among GDM populations with no physical activity, moderate physical activity, parity of 1 or 2, negative correlation between PNI and risk of ACM was stronger than other subgroups. Sensitivity analysis results showed stable negative correlations between PNI and ACM and CVD mortality of total population, and between PNI and ACM of GDM., Conclusion: In individuals with GDM, PNI was negatively correlated with ACM risk, especially in populations with no physical activity, moderate physical activity, and parity of 1 or 2. PNI = 50.75 may be an effective threshold affecting ACM risk in GDM, which may help in risk assessment and timely intervention for individuals with GDM., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Optimal gestational weight change (GWC) is little known among pregnant women with gestational diabetes mellitus (GDM)., Objectives: This study aimed to explore the optimal GWC ranges for women with GDM and validate these ranges compared with the Institute of Medicine (IOM) guidelines., Methods: A population-based cohort study using natality data from the National Center for Health Statistics in the United States included 1,338,460 mother-infant pairs with GDM from 2014 to 2020. Poisson regression models were performed to identify GWC ranges (GDM targets) associated with acceptable risks (<10% increase) for a severity-weighted composite outcome including preterm birth (PTB) <37 wk, large for gestational age (LGA, birthweight >90th percentile) and small for gestational age (SGA, birthweight <10th percentile). These targets were validated in individual outcomes including PTB, LGA, SGA, hypertensive disorders of pregnancy, neonatal intensive care unit admission, and neonatal respiratory morbidity, and compared with the IOM guidelines using logistic regression models with population-attributable fractions (PAFs) calculated., Results: The severity-weighted composite outcome had a U-shaped or a J-shaped relationship with GWC across body mass index categories. The GDM targets were 14.1 to 20.3 kg, 9.0 to 17.0 kg, 4.8 to 13.8 kg, -0.8 to 10.8 kg, -2.4 to 8.2 kg, and -8.3 to 6.0 kg for underweight, normal weight, overweight, class 1 obesity, class 2 obesity, and class 3 obesity, respectively. GWC outside the GDM or the IOM targets was associated with increased adverse perinatal outcomes in validation analyses. PAFs indicated that the IOM guidelines reduced a similar or higher proportion of adverse perinatal outcomes compared with the GDM targets for women with GDM, except for those with class 2 and 3 obesity., Conclusions: The IOM guidelines are generally applicable for women with GDM, except for women with moderate and severe obesity. The optimal GWC ranges for women with GDM and moderate to severe obesity may be lower than the IOM guidelines., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective: The pregnancy, delivery, and neonatal outcomes of pregnancies complicated by cystic fibrosis (CF) have yet to be evaluated in a prolonged, population-based study. We sought to evaluate the obstetric and neonatal outcomes in pregnant patients with CF using a national population database., Study Design: Retrospective population-based cohort study utilizing the Healthcare Cost and Utilization Project, Nationwide Inpatient Sample (HCUP-NIS). All women who delivered or had a maternal death in the US (2004-2014) were included in the study. Pregnancy, delivery, and neonatal outcomes were compared between women with an ICD-9 diagnosis of cystic fibrosis to those without., Results: Overall, 9 096 159 women met the inclusion criteria. Of these, 629 women (6.9/100000) had CF. Women with CF were more likely to be younger and have pregestational diabetes mellitus compared to those without. CF in pregnancy was associated with an increased risk of developing gestational diabetes mellitus [aOR 3.20 (95 %CI 2.48-4.15), p = 0.0001], placenta previa [aOR 2.74 (95 %CI 1.30-5.79), p = 0.008], preterm delivery [aOR 2.17 (95 %CI 1.71-2.77), p = 0.0001], operative vaginal delivery [aOR 1.59 (95 %CI 1.17-2.16), p = 0.003], and death [aOR 86.41 (95 %CI 30.91-241.58), p = 0.0001], and a decreased likelihood of having a spontaneous vaginal delivery [aOR 0.80 (95 %CI 0.66-0.97), p = 0.02]. Patients with CF were more likely to experience deep venous thrombosis [aOR 7.64 (95 %CI 1.90-30.72), p = 0.004] and disseminated intravascular coagulation [aOR 3.68 (95 %CI 1.37-9.87), p = 0.01] compared to those without. The risk of delivering a fetus with congenital anomalies was similar between groups., Conclusion: Pregnant patients with CF have an increased risk of developing adverse maternal and delivery outcomes. As such, these patients should receive vigilant surveillance during pregnancy., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background and Aims: Persons with rheumatoid arthritis (RA) have an increased risk of obstetric-associated complications, as well as long-term cardiovascular (CV) risk. Hence, the aim was to evaluate the association of RA with acute CV complications during delivery admissions., Methods: Data from the National Inpatient Sample (2004-2019) were queried utilizing ICD-9 or ICD-10 codes to identify delivery hospitalizations and a diagnosis of RA., Results: A total of 12 789 722 delivery hospitalizations were identified, of which 0.1% were among persons with RA (n = 11 979). Individuals with RA, vs. those without, were older (median 31 vs. 28 years, P < .01) and had a higher prevalence of chronic hypertension, chronic diabetes, gestational diabetes mellitus, obesity, and dyslipidaemia (P < .01). After adjustment for age, race/ethnicity, comorbidities, insurance, and income, RA remained an independent risk factor for peripartum CV complications including preeclampsia [adjusted odds ratio (aOR) 1.37 (95% confidence interval 1.27-1.47)], peripartum cardiomyopathy [aOR 2.10 (1.11-3.99)], and arrhythmias [aOR 2.00 (1.68-2.38)] compared with no RA. Likewise, the risk of acute kidney injury and venous thromboembolism was higher with RA. An overall increasing trend of obesity, gestational diabetes mellitus, and acute CV complications was also observed among individuals with RA from 2004-2019. For resource utilization, length of stay and cost of hospitalization were higher for deliveries among persons with RA., Conclusions: Pregnant persons with RA had higher risk of preeclampsia, peripartum cardiomyopathy, arrhythmias, acute kidney injury, and venous thromboembolism during delivery hospitalizations. Furthermore, cardiometabolic risk factors among pregnant individuals with RA rose over this 15-year period., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Aim: 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., Methods: 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., Results: 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., Conclusion: 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., (© 2024 The Authors. Acta Paediatrica published by John Wiley & Sons Ltd on behalf of Foundation Acta Paediatrica.)

With the two-step gestational diabetes mellitus (GDM) screening approach, hyperglycemic subtypes can be identified. We aimed to investigate racial/ethnic differences in the prevalence of hyperglycemic subtypes and to examine the associations between these subtypes and adverse pregnancy outcomes. In this retrospective cohort, 11,405 pregnancies were screened using the two-step approach. Hyperglycemic subtypes included: pregnancy-impaired glucose intolerance-I (PIGT-I), PIGT-II, GDM-I (abnormal post-load glucose only), and GDM-II (abnormal fasting & post-load glucose). Modified Poisson regressions with robust error variance were used to estimate age-adjusted prevalence ratios (PR) of hyperglycemic subtypes and multivariable-adjusted risk ratios (RR) of adverse pregnancy outcomes. The prevalence of hyperglycemic subtypes was higher in Asians (PIGT-I: 1.51 [95% confidence interval 1.35–1.69]; PIGT-II: 2.18 [1.78–2.68]; GDM-I: 2.55 [2.10–3.10]; GDM-II: 1.55 [1.08–2.21]) and Hispanics (PIGT-I: 1.32 [1.16–1.50]; PIGT-II: 2.07 [1.67–2.57]; GDM-I: 1.69 [1.35–2.13]; GDM-II: 2.68 [1.93–3.71]) than non-Hispanic Whites (NHW). Despite low GDM prevalence, Japanese and Koreans had higher PIGT prevalence than NHW. PIGT-II was positively associated with hypertensive disorders of pregnancy (1.19 [1.02–1.38]), large-for-gestational age (1.73 [1.37–2.18]), and preterm birth (PB, 1.33 [1.05–1.68]). PIGT-I (1.23 [1.04–1.45]) and GDM-I (1.56 [0.87–1.71]) were positively related to PB. The prevalence of hyperglycemic subtypes varies by race/ethnicity and they have distinct health implications. [ABSTRACT FROM AUTHOR]

Background: Previous studies examined the associations of gestational diabetes mellitus with autism spectrum disorder and attention deficit hyperactivity disorder. However, the associations between gestational diabetes mellitus and other neurodevelopmental disorders, such as the common speech/language disorder and developmental coordination disorder, are rarely studied, and whether the associations vary by race/ethnicity remains unknown., Objective: This study aimed to examine the associations of gestational diabetes mellitus with individual neurodevelopmental disorders in young offspring, and to investigate whether the associations vary by race/ethnicity., Study Design: This retrospective cohort study (Glucose in Relation to Women and Babies' Health [GrownB]) included 14,480 mother-offspring pairs in a large medical center in the United States from March 1, 2013 to August 31, 2021. We ascertained gestational diabetes mellitus using the validated ICD (International Classification of Diseases) codes (ICD-9: 648.8x; ICD-10: O24.4x), and identified neurodevelopmental disorders (speech/language disorder, developmental coordination disorder, autism spectrum disorder, and other neurodevelopmental disorders [attention deficit hyperactivity disorder, behavioral disorder, intellectual disability, and learning difficulty]) and their combinations using validated algorithms. We compared the hazard of neurodevelopmental disorders during the entire follow-up period between offspring born to mothers with and without gestational diabetes mellitus using multivariable Cox regression models., Results: Among all mothers, 19.9% were Asian, 21.8% were Hispanic, 41.0% were non-Hispanic White, and 17.3% were of other/unknown race/ethnicity. During the median follow-up of 3.5 years (range, 1.0-6.3 years) after birth, 8.7% of offspring developed at least 1 neurodevelopmental disorder. Gestational diabetes mellitus was associated with a higher risk of speech/language disorder (adjusted hazard ratio, 1.59 [95% confidence interval, 1.07-2.35]), developmental coordination disorder (2.36 [1.37-4.04]), autism spectrum disorder (3.16 [1.36-7.37]), other neurodevelopmental disorders (3.12 [1.51-6.47]), any neurodevelopmental disorder (1.86 [1.36-2.53]), the combination of speech/language disorder and autism spectrum disorder (3.79 [1.35-10.61]), and the combination of speech/language disorder and developmental coordination disorder (4.22 [1.69-10.51]) among offspring born to non-Hispanic White mothers. No associations between gestational diabetes mellitus and any neurodevelopmental disorders or their combinations were observed among offspring born to mothers of other racial/ethnic groups., Conclusion: We observed an elevated risk of neurodevelopmental disorders among young offspring born to non-Hispanic White mothers with gestational diabetes mellitus, but not among other racial/ethnic groups., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

This review aimed to examine the literature related to non-medical strategies used to improve pregnancy outcomes of women with gestational diabetes mellitus (GDM) and to determine the risk of bias of the selected studies. Treatment for GDM is changing due to the increased prevalence of GDM-related maternal and neonatal complications. A growing body of evidence suggests that early detection, aggressive monitoring and management of GDM using non-medical strategies can greatly improve outcomes for pregnant women and their babies. PubMed® (National Library of Medicine, Bethesda, Maryland, USA), Cumulative Index to Nursing and Allied Health Literature® (EBSCO Information Services, Ipswich, Massachusetts, USA), SCOPUS® (Elsevier, Amsterdam, Netherlands) and other electronic databases were searched for relevant literature published between 2005-2015. A total of 15 studies on women with GDM that met the inclusion criteria were included in this review and assessment of risk of bias was performed for each study. The results of the studies were consistent with findings of significant improvement in maternal and neonatal outcomes when diet was combined with moderate exercise, self-monitoring of blood glucose and individualised health education. Future intervention studies in this area should be focussed on identifying and implementing factors that enhance and encourage adherence to the healthy behaviours mentioned above. [ABSTRACT FROM AUTHOR]

Objectives: To examine the association between early menarche and gestational diabetes mellitus (GDM). Methods: Data from the National Health and Nutrition Examination Survey 2007-2012 were used to investigate the association between age at menarche and the risk of GDM at first birth among 5914 women. A growth mixture model was used to detect distinctive menarche onset patterns based on self-reported age at menarche. Logistic regression models were then used to examine the associations between menarche initiation patterns and GDM after adjusting for sociodemographic factors, family history of diabetes mellitus, lifetime greatest Body Mass Index, smoking status, and physical activity level. Results: Among the 5914 first-time mothers, 3.4 % had self-reported GDM. We detected three groups with heterogeneous menarche onset patterns, the Early, Normal, and Late Menarche Groups. The regression model shows that compared to the Normal Menarche Group, the Early Menarche Group had 1.75 (95 % CI 1.10, 2.79) times the odds of having GDM. No statistically significant difference was observed between the Normal and the Late Menarche Group. Conclusion: This study suggests that early menarche may be a risk factor of GDM. Future studies are warranted to examine and confirm this finding. [ABSTRACT FROM AUTHOR]

Background: An iron overload may induce pancreatic islet damage and increase risk of diabetes. Women with a history of gestational diabetes mellitus (GDM) are at high risk of developing type 2 diabetes mellitus (T2DM) after pregnancy. Objective: We aimed to examine the association of habitual iron intake with long-term risk of T2DM in this high-risk population. Design: We included 3976 women with a history of GDM from the Nurses' Health Study II cohort as part of the ongoing Diabetes & Women's Health Study. The women were followed up through 2009. Iron intake was assessed with the use of a validated food-frequency questionnaire in 1991 and every 4 y thereafter. We used Cox proportional hazards models to estimate HRs and 95% CIs. Results: We documented 641 incident T2DM cases during 57,683 person-years of observation. Adjusted HRs for T2DM for the highest quartile compared with the lowest quartile were 1.64 (95% CI: 1.20, 2.25; P-trend = 0.02) for total iron intake and 1.80 (95% CI: 1.18, 2.74; P-trend = 0.005) for dietary heme iron intake. In addition, women who consumed ≥30.0 mg supplemental Fe/d, compared with nonusers, had an adjusted HR of 1.83 (95% CI: 1.25, 2.70; P-trend = 0.002). Conclusion: In women with a history of GDM, greater intakes of total iron, dietary heme iron, and supplemental iron were associated with higher risk of T2DM. [ABSTRACT FROM AUTHOR]

Background: Metabolic disorders caused by intestinal microbial dysregulation are considered to be important causes of gestational diabetes mellitus (GDM). Increasing evidence suggests that the diversity and composition of gut microbes are altered in disease states, yet the critical microbes and mechanisms of disease regulation remain unidentified., Methods: PubMed ® (National Library of Medicine, Bethesda, MD, USA), Embase ® (Elsevier, Amsterdam, the Netherlands), the Web of Science™ (Clarivate™, Philadelphia, PA, USA), and the Cochrane Library databases were searched to identify articles published between 7 July 2012 and 7 July 2022 reporting on case-control and controlled studies that analyzed differences in enterobacteria between patients with GDM and healthy individuals. Information on the relative abundance of enterobacteria was collected for comparative diversity comparison, and enterobacterial differences were analyzed using random effects to calculate standardized mean differences at a p -value of 5%., Results: A total of 22 studies were included in this review, involving a total of 965 GDM patients and 1,508 healthy control participants. Alpha diversity did not differ between the participant groups, but beta diversity was significantly different. Firmicutes , Bacteroidetes , Actinobacteria , and Proteobacteria were the dominant bacteria, but there was no significant difference between the two groups. Qualitative analysis showed differences between the groups in the Firmicutes / Bacteroidetes ratio, Blautia , and Collinsella , but these differences were not statistically different., Conclusion: Enterobacterial profiles were significantly different between the GDM and non-GDM populations. Alpha diversity in patients with GDM is similar to that in healthy people, but beta diversity is significantly different. Firmicutes / Bacteroidetes ratios were significantly increased in GDM, and this, as well as changes in the abundance of species of Blautia and Collinsella , may be responsible for changes in microbiota diversity. Although the results of our meta-analysis are encouraging, more well-conducted studies are needed to clarify the role of the gut microbiome in GDM. The systematic review was registered with PROSPERO (https://www.crd.york.ac.uk/prospero/) as CRD42022357391., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Yan, Guo, Ji, Huang, Huang, Li, Zhang, Chen, Cao, Yang and Wu.)

Background: Treatment of gestational diabetes mellitus has been demonstrated to improve perinatal outcomes. However, the role of the Special Supplemental Nutrition Program for Women, Infants, and Children in maternal and neonatal outcomes for qualifying patients with gestational diabetes mellitus is less understood., Objective: The objective of this study is to observe the relationship of enrollment in the Special Supplemental Nutrition Program for Women, Infants, and Children with pregnancy outcomes in patients with gestational diabetes., Study Design: This was a retrospective cohort study using National Vital Statistics Birth Data of pregnant persons diagnosed with gestational diabetes mellitus between 2014 and 2018. The study population was composed of patients who had Medicaid coverage for maternity care; patients with Medicaid are automatically qualified for the Special Supplemental Nutrition Program for Women, Infants, and Children. The study groups were defined as those who enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children vs those who did not enroll. In addition, maternal and neonatal outcomes for these groups were analyzed. Univariate and multivariable logistic regression analyses adjusted for significant covariates were performed., Results: Of 460,377 pregnant persons with pregnancies complicated by gestational diabetes mellitus, 73% were enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children, and 27% were not. Pregnant persons with gestational diabetes mellitus enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children had decreased odds of preterm delivery before 34 and 37 weeks of gestation. Although the Special Supplemental Nutrition Program for Women, Infants, and Children group had higher odds of large-for-gestational-age neonates and cesarean delivery, the overall rates of these outcomes in both cohorts were high., Conclusion: The Special Supplemental Nutrition Program for Women, Infants, and Children provides a resource for perinatal support, supplemental food, and nutritional education. The decrease in the rates of preterm deliveries in pregnant persons with gestational diabetes mellitus that enroll in the Special Supplemental Nutrition Program for Women, Infants, and Children, Infants, and Children relative to those that qualified for the program but did not enroll suggested that having access to available education and food sources may influence perinatal outcomes., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Background: The rate of gestational diabetes mellitus has increased over the past decade. An age, period, and cohort epidemiologic analysis can be used to understand how and why disease trends have changed over time., Objective: This study aimed to estimate the associations of age (at delivery), period (delivery year), and cohort (birth year) of the pregnant individual with trends in the incidence of gestational diabetes mellitus in the United States., Study Design: We conducted an age, period, and cohort analysis of nulliparous pregnant adults aged 18 to 44 years with singleton live births from the National Vital Statistics System from 2011 to 2019. Generalized linear mixed models were used to calculate the adjusted rate ratios for the incidence of gestational diabetes mellitus for each 3-year maternal age span, period, and cohort group compared with the reference group for each. We repeated the analyses with stratification according to self-reported racial and ethnic group (non-Hispanic Asian-Pacific Islander, non-Hispanic Black, Hispanic, and non-Hispanic White) because of differences in the incidence of and risk factors for gestational diabetes mellitus by race and ethnicity., Results: Among 11,897,766 pregnant individuals, 5.2% had gestational diabetes mellitus. The incidence of gestational diabetes mellitus was higher with increasing 3-year maternal age span, among those in the more recent delivery period, and among the younger birth cohort. For example, individuals aged 42 to 44 years at delivery had a 5-fold higher risk for gestational diabetes mellitus than those aged 18 to 20 years (adjusted rate ratio, 5.57; 95% confidence interval, 5.43-5.72) after adjusting for cohort and period. Individuals who delivered between 2017 and 2019 were at higher risk for gestational diabetes mellitus than those who delivered between 2011 and 2013 (adjusted rate ratio, 1.24; 95% confidence interval, 1.23-1.25) after adjusting for age and cohort. Individuals born between 1999 and 2001 had a 3-fold higher risk for gestational diabetes mellitus than those born between 1969 and 1971 (adjusted rate ratio, 3.12; 95% confidence interval, 2.87-3.39) after adjusting for age and period. Similar age, period, and cohort effects were observed for the assessed racial and ethnic groups, with the greatest period effects observed among Asian and Pacific Islander individuals., Conclusion: Period and birth cohort effects have contributed to the rising incidence of gestational diabetes mellitus in the United States from 2011 to 2019., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Studies of delayed conception and risk of gestational diabetes (GDM) are sparse, although common underlying mechanisms are plausible, including insulin resistance and inflammation. The association between a history of infertility and GDM was assessed prospectively among 40,773 eligible pregnancies in the US Nurses' Health Study II cohort (1989–2001). Biennial questionnaires provided updated information on infertility and several lifestyle and health-related characteristics. Multivariable log-binomial models with generalized estimating equations were used to compute risk ratios and 95% confidence intervals, adjusting for age, prepregnancy body mass index (weight (kg)/height (m)2), and additional potential confounders. GDM occurred among 1,405 (5.2%) women. A prepregnancy history of infertility was reported by 5,497 (20.5%) participants and was significantly associated with a 39% greater risk of GDM (risk ratio (RR) = 1.39, 95% confidence interval (CI): 1.24, 1.57; P < 0.001). Underlying reasons for infertility associated with GDM included ovulation disorders (RR = 1.52, 95% CI: 1.23, 1.87; P < 0.001) and tubal blockage (RR = 1.83, 95% CI: 1.20, 2.77; P = 0.005). The association of cervical mucus disorder with GDM was of borderline significance (RR = 1.70, 95% CI: 0.88, 3.30; P = 0.11). Endometriosis (RR = 1.27, 95% CI: 0.70, 2.31; P = 0.43) and male factor infertility (RR = 1.12, 95% CI: 0.78, 1.61; P = 0.55) were not associated with GDM risk. These novel findings suggest that infertility, particularly from ovulation disorders and tubal blockage, is associated with an increased GDM risk. Further research is needed to identify mechanisms or common underlying metabolic dysfunction explaining these observations. [ABSTRACT FROM PUBLISHER]

Introduction: Obesity and gestational diabetes mellitus (GDM) are associated with an increased risk of perinatal complications and obesity in the offspring. However, the impact of gestational weight gain (GWG) on maternal and foetal outcomes is controversial., Patients and Methods: Retrospective study of 220 women with GDM and pre-pregnancy body mass index (BMI)>30kg/m 2 . Pregnant women were classified according to the Institute of Medicine (IOM) recommendations regarding their prior BMI and GWG. We evaluated the impact of GWG on perinatal and obstetric outcomes., Results: Mean maternal age was 34.7±5.3 years. Pre-pregnancy obesity was classified as class I in 55.3% of the cases, class II in 32.0% and class III in 12.7%. GWG was adequate (5-9kg) in 24.2%, insufficient (<5kg) in 41.8% and excessive (>9kg) in 34.2%. Birth weight was within normal range in 81.9%, 3.6% were small for gestational age (microsomia) and 14.4% were large for gestational age (macrosomia). Insufficient GWG was associated with a higher rate of microsomal offspring, excessive GWG was associated to macrosomia and adequate GWG with normal birth weight., Conclusion: GWG in women with pre-pregnancy obesity and GDM impacts neonatal birthweight. Insufficient GWG is associated with microsomia and excessive GWG is associated with macrosomia. Women with adequate GWG according to the IOM guidelines obtained better perinatal outcomes., (Copyright © 2022 SEEN and SED. Published by Elsevier España, S.L.U. All rights reserved.)

The article presents an integrative review of the literature on gestational diabetes mellitus (GDM) and the resulting lifestyle changes in the populations of Canada and the U.S. It discusses the external and internal factors such as pathophysiologic pathways and psychosocial influences. It discovers that GDM has increased in prevalence in all socioeconomic strata due to stress, sedentary lifestyle and poor nutritional choices.

Objectives: The purpose of this study was to assess trends in diabetes in pregnancy in American Indian and whites mothers in Montana and North Dakota. Methods: Montana and North Dakota birth records were utilized to assess trends in any diabetes in pregnancy in American Indians and whites from 1989 to 2000. Results: From 1989 through 2000, there were 133,991 and 102,232 births in Montana and North Dakota, respectively. The majority of mothers were American Indian (11%) or white (87%). The rate of any diabetes in pregnancy increased significantly in Montana Indian (3.1–4.1%, p = 0.04) and white mothers (1.8–2.6%, p < 0.001) from 1989–1991 to 1998–2000. The rate also increased significantly in white North Dakota mothers (1.6–3.2%, p < 0.001), but the increase in rate for Indian mothers in North Dakota did not reach statistical significance (3.8–4.8%, p=0.06) during this time period. In each time period, Montana and North Dakota Indian mothers were more likely than white mothers to have any diabetes in pregnancy. Conclusions: The rate of diabetes in pregnancy has increased in American Indian and white mothers. Thus public health programs are now facing an increasing number of women with a history of GDM at future risk of type 2 diabetes and an increasing number of offspring of diabetic pregnancies at risk for becoming overweight and developing type 2 diabetes at a young age. [ABSTRACT FROM AUTHOR]

It is unclear whether gestational diabetes mellitus (GDM) alters breast milk composition. We prospectively examined associations of GDM status with concentrations of six potentially bioactive elements (glucose, insulin, C-reactive protein (CRP), interleukin-6 (IL-6), leptin, and adiponectin) in human milk. These were measured at both 1 and 3 months postpartum in 189 fully breastfeeding women. Mixed-effects linear regression assessed GDM status-related differences in these milk bioactives, adjusting for demographics, maternal factors, and diet. At 1 and 3 months postpartum, milk CRP was higher (1.46 ± 0.31 ng/mL; p < 0.001 and 1.69 ± 0.31 ng/mL; p < 0.001) in women with GDM than in women without GDM, whereas milk glucose (−5.23 ± 2.22 mg/dL; p = 0.02 and −5.70 ± 2.22; p = 0.01) and milk insulin (−0.38 ± 0.17 μIU/mL; p = 0.03 and −0.53 ± 0.17; p = 0.003) were lower in women with GDM. These significant associations remained similar after additional adjustment for maternal weight status and its changes. No difference was found for milk IL-6, leptin, and adiponectin. There was no evidence of association between these milk bioactive compounds and 1 h non-fasting oral glucose challenge serum glucose in the women without GDM. This prospective study provides evidence that potentially bioactive elements of human milk composition are altered in women with GDM.

Context: Gestational diabetes is associated with a long-term risk of developing a disorder of glucose metabolism. However, neither the metabolic changes characteristic of gestational diabetes in a large, multi-ancestry cohort nor the ability of metabolic changes during pregnancy, beyond glucose levels, to identify women at high risk for progression to a disorder of glucose metabolism has been examined., Objective: This work aims to identify circulating metabolites present at approximately 28 weeks' gestation associated with gestational diabetes mellitus (GDM) and development of a disorder of glucose metabolism 10 to 14 years later., Methods: Conventional clinical and targeted metabolomics analyses were performed on fasting and 1-hour serum samples following a 75-g glucose load at approximately 28 weeks' gestation from 2290 women who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Postpartum metabolic traits included fasting and 2-hour plasma glucose following a 75-g glucose load, insulin resistance estimated by the homeostasis model assessment of insulin resistance, and disorders of glucose metabolism (prediabetes and type 2 diabetes) during the HAPO Follow-Up Study., Results: Per-metabolite analyses identified numerous metabolites, ranging from amino acids and carbohydrates to fatty acids and lipids, before and 1-hour after a glucose load that were associated with GDM as well as development of a disorder of glucose metabolism and metabolic traits 10 to 14 years post partum. A core group of fasting and 1-hour metabolites mediated, in part, the relationship between GDM and postpartum disorders of glucose metabolism, with the fasting and 1-hour metabolites accounting for 15.7% (7.1%-30.8%) and 35.4% (14.3%-101.0%) of the total effect size, respectively. For prediction of a postpartum disorder of glucose metabolism, the addition of circulating fasting or 1-hour metabolites at approximately 28 weeks' gestation showed little improvement in prediction performance compared to clinical factors alone., Conclusion: The results demonstrate an association of multiple metabolites with GDM and postpartum metabolic traits and begin to define the underlying pathophysiology of the transition from GDM to a postpartum disorder of glucose metabolism., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: To examine association between gestational weight gain (GWG) in women with gestational diabetes mellitus (GDM) and adverse pregnancy outcomes (APOs)., Methods: This retrospective cohort study enrolled women with GDM who delivered at 2010-2020 in Changzhou, Jiangsu. Total GWG, rates of GWG in second trimester and third trimesters were stratified into three categories according to IOM guidelines: within, below, and above IOM guidelines. Univariable and multivariable logistic regression analyses were used., Results: Overall, 1606 women with GDM fulfilled inclusion criteria. Compared with within IOM guidelines and after adjusting for confounders, total GWG above IOM guidelines in pregnancy was associated with an increased odds of caesarean delivery [adjusted odds ratio (aOR) = 1.34, 95% confidence interval (CI): 1.04-1.72], hypertensive disorders of pregnancy (HDP) (aOR = 2.00, 1.28-3.12), preeclampsia (aOR = 2.06, 1.01-3.12), macrosomia (aOR = 1.55, 1.13-2.13) and large for gestational age (LGA) (aOR = 2.82, 1.94-3.23), and a decreased odds of premature rupture of membrane (PROM) (aOR = 0.46, 0.36-0.60) and preterm birth (aOR = 0.35, 0.26-0.44); total GWG below IOM guidelines in pregnancy was associated with an increased risk of preterm birth (aOR = 1.96, 1.44-2.66), small for gestational age (SGA) (aOR = 1.32, 1.11-1.50) and a decreased odds of macrosomia (aOR = 0.35, 0.23-0.53) and LGA (aOR = 0.54, 0.42-0.72). Further, in both second and third trimesters of pregnancy, rates of GWG above IOM guidelines was found to be associated with a high odds of HDP (aOR = 2.55, 1.86-3.38; aOR = 1.93, 1.08-2.98), preeclampsia (aOR = 2.28, 1.21-3.81; aOR = 2.17, 1.35-4.37), macrosomia (aOR = 1.20, 1.02-1.82; aOR = 2.02, 1.51-2.64) and LGA (aOR = 1.42, 1.24-1.97; aOR = 1.79, 1.51-2.54). Rates of GWG above IOM guidelines in third trimester of pregnancy also increased odds of caesarean delivery (aOR = 1.48, 1.16-2.34) when compared with within IOM guidelines. While rates of GWG below IOM guidelines in both second and third trimesters of pregnancy was associated with a decreased odds of macrosomia (aOR = 0.66, 95% CI: 0.52-0.78; aOR = 0.52, 0.39-0.63) and LGA(aOR = 0.71, 0.51-0.82; aOR = 0.67, 0.55-0.79). In addition, rate of GWG below IOM guidelines in third trimester of pregnancy was associated with an increased odds of preterm birth (aOR = 1.52, 1.12-2.05) and SGA (aOR = 1.21, 1.10-1.69)., Conclusion: GWG, outside IOM guidelines has increased risks of APOs among women with GDM, implying that careful surveillance for GWG during different stages of pregnancy is warranted., (© 2021. The Author(s).)

Aims/hypotheses: This longitudinal analysis evaluated the independent and joint associations of any breastfeeding (BF) or exclusive BF (EBF) and intake of sugar-sweetened beverages (SSBs) and 100% fruit juice from birth to 1 year with subsequent overweight and obesity among young children exposed to gestational diabetes (GDM)., Methods: The analysis utilised prospectively collected data from participants enrolled in the Study of Women, Infant Feeding and Type 2 Diabetes after GDM (SWIFT); 1035 pregnant women (20-45 years) diagnosed with GDM, of whom 75% were of Black, Hispanic or Asian race and ethnicity. Mother-infant dyad characteristics and infant dietary intake were assessed via research protocols at in-person examinations, telephone interviews and monthly mailed surveys from birth to 1 year. Child weight, length and height were obtained from electronic health records at birth (2008-2011) and ages 2-5 years (2010-2016) to classify BMI percentile groups (n = 835)., Results: Adequate BF (≥6 months), adequate EBF duration (≥6 months), and SSB and 100% fruit juice intake in the first year were independently associated with child obesity at ages 2-5 years (all p < 0.05). Compared with children with adequate EBF and no intake of SSB or 100% fruit juice, those with adequate EBF and intake of 100% fruit juice and/or SSBs had a four- to fivefold higher odds of obesity (aOR 4.2, 95% CI:1.6, 11.2 for 100% fruit juice; aOR 4.5, 95% CI:1.4, 8.5 for fruit juice or SSBs; and aOR 4.7, 95% CI:1.4, 15 for SSBs; all p < 0.01), while those with inadequate EBF (<6 months) and intake of 100% fruit juice and/or SSBs had a six- to 12-fold higher odds of obesity (aOR 6.4, 95% CI:2.4, 17.2 for fruit juice; aOR 6.6, 95% CI:2.7, 14.8 for fruit juice or SSBs; and aOR 12.2, 95% CI:4.3, 25 for SSBs; all p < 0.001). Compared with children with adequate BF and no intake of SSB or 100% fruit juice, those with adequate BF and intake of 100% fruit juice and/or SSBs had a threefold higher odds of obesity (aOR 3.1, 95% CI:1.1, 7.3 for fruit juice; aOR 3.3, 95% CI:1.3, 8.3 for fruit juice or SSBs; and aOR 3.4, 95% CI:1.3, 8.5 for SSBs; all p < 0.05), while those with inadequate BF (<6 months) and intake of 100% fruit juice and/or SSB were associated with five- to tenfold higher odds of obesity (aOR 4.8, 95% CI:2.3, 12.2 for fruit juice; aOR 6.0, 95% CI:2.5, 12.8 for fruit juice or SSBs; aOR 9.5, 95% CI:3.7, 15.1 for SSBs; all p < 0.05)., Conclusions/interpretation: This is the first study to prospectively evaluate the relation of BF or EBF duration and intake of SSB and 100% fruit juice during the first year of life with subsequent obesity in children exposed to GDM. Adequate BF or EBF combined with avoidance of SSB and 100% fruit juice during early infancy may ameliorate future child obesity in this high-risk population.

Introduction: American Indian and Alaska Native (AIAN) girls have double the risk of obesity, pregnancy, and gestational diabetes mellitus (GDM) than the general U.S., Population: The purpose of this study was to beta test Stopping GDM (SGDM), a GDM risk reduction intervention for at-risk AIAN teens, before beginning a randomized controlled trial., Method: A sample of 11 AIAN mothers and daughters were recruited through an urban Indian health program. Daughters were at risk of GDM as assessed by a BMI ≥ 85th percentile. Pre- and posttest online questionnaires evaluated the online intervention (e-book and video)., Results: Mean pre- to posttest knowledge increased for mothers and daughters on diabetes prevention, reproductive health, and GDM knowledge. Daughters demonstrated an increased self-efficacy for healthy living and pregnancy planning. Satisfaction for the e-book, video, and online survey was moderately high to very high., Discussion: The SGDM intervention is feasible and acceptable in AIAN mother-daughter dyads. These findings informed the SGDM intervention and the randomized controlled trial evaluation protocol., (Copyright © 2020 National Association of Pediatric Nurse Practitioners. Published by Elsevier Inc. All rights reserved.)

Objectives: Ethnic enclaves are ethnically, spatially, and socially distinct communities that may promote health through access to culturally appropriate resources and reduced exposure to discrimination. This study examined ethnic enclave residence and pregnancy outcomes among Asian/Pacific Islander (API) women in the USA., Design: We examined 9206 API births in the Consortium on Safe Labor (2002-2008). Ethnic enclaves were defined as hospital regions with high percentage of API residents (> 4%), high dissimilarity index (> 0.41; distribution of API and white residents within a geographic area), and high isolation index (> 0.03; interaction between API and white residents in an area). Gestational diabetes mellitus (GDM), preterm birth (PTB), small for gestational age (SGA), and smoking and alcohol use during pregnancy were reported in medical records supplemented with ICD-9 codes. Hierarchical logistic regression models estimated associations between ethnic enclaves and pregnancy outcomes, adjusted for maternal factors, area-level poverty, and air pollution., Results: Women in enclaves had lower odds of GDM (OR 0.61; 95%CI 0.45, 0.82), PTB (OR 0.74; 95%CI 0.56, 0.99), and SGA (OR 0.68; 95%CI 0.52, 0.89) compared with women in non-enclaves. Prenatal smoking and alcohol use appeared less likely in enclaves, but estimates were imprecise. Within enclaves, about 10.5% of homes speak an API language, compared with 6.0% in non-enclaves. The mean percent of foreign-born API populations was 67.4% in enclaves and 68.8% in non-enclaves., Conclusions: API women residing in ethnic enclaves had better pregnancy outcomes than API women residing in non-enclave areas. Access to culturally appropriate social supports and resources may be important for health promotion among API populations.

Aims: To investigate the risk of postpartum metabolic syndrome in women with GDM compared with those without GDM in a Chinese population., Methods: Tianjin GDM observational study included 1263 women with a history of GDM and 705 women without GDM. Multivariate logistic regression was used to assess risks of postpartum metabolic syndrome between women with and without GDM. Postpartum metabolic syndrome was diagnosed by two commonly used criteria., Results: During a mean 3.53 years of follow up, 256 cases of metabolic syndrome were identified by using the NCEP ATPIII criteria and 244 cases by using the IDF criteria. Multivariable-adjusted odds ratios of metabolic syndrome in women with GDM compared with those without GDM were 3.66 (95% confidence interval [CI] 2.02-6.63) for NCEP ATPIII criteria and 3.90 (95% CI 2.13-7.14) for IDF criteria. Women with GDM had higher multivariable-adjusted odds ratios of central obesity, hypertriglyceridemia, and high blood pressure than women without GDM. The multivariable-adjusted odds ratios of low HDL cholesterol and hyperglycemia were not significant between women with and without GDM, however, the multivariable-adjusted odds ratio of hyperglycemia became significant when we used the modified criteria., Conclusions: The present study indicated that women with prior GDM had significantly higher risks for postpartum metabolic syndrome, as well as its individual components., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Aims/hypothesis: Gestational diabetes mellitus (GDM) affects up to 20% of pregnancies, and almost half of the women affected progress to type 2 diabetes later in life, making GDM the most significant risk factor for the development of future type 2 diabetes. An accurate prediction of future type 2 diabetes risk in the early postpartum period after GDM would allow for timely interventions to prevent or delay type 2 diabetes. In addition, new targets for interventions may be revealed by understanding the underlying pathophysiology of the transition from GDM to type 2 diabetes. The aim of this study is to identify both a predictive signature and early-stage pathophysiology of the transition from GDM to type 2 diabetes., Methods: We used a well-characterised prospective cohort of women with a history of GDM pregnancy, all of whom were enrolled at 6-9 weeks postpartum (baseline), were confirmed not to have diabetes via 2 h 75 g OGTT and tested anually for type 2 diabetes on an ongoing basis (2 years of follow-up). A large-scale targeted lipidomic study was implemented to analyse ~1100 lipid metabolites in baseline plasma samples using a nested pair-matched case-control design, with 55 incident cases matched to 85 non-case control participants. The relationships between the concentrations of baseline plasma lipids and respective follow-up status (either type 2 diabetes or no type 2 diabetes) were employed to discover both a predictive signature and the underlying pathophysiology of the transition from GDM to type 2 diabetes. In addition, the underlying pathophysiology was examined in vivo and in vitro., Results: Machine learning optimisation in a decision tree format revealed a seven-lipid metabolite type 2 diabetes predictive signature with a discriminating power (AUC) of 0.92 (87% sensitivity, 93% specificity and 91% accuracy). The signature was highly robust as it includes 45-fold cross-validation under a high confidence threshold (1.0) and binary output, which together minimise the chance of data overfitting and bias selection. Concurrent analysis of differentially expressed lipid metabolite pathways uncovered the upregulation of α-linolenic/linoleic acid metabolism (false discovery rate [FDR] 0.002) and fatty acid biosynthesis (FDR 0.005) and the downregulation of sphingolipid metabolism (FDR 0.009) as being strongly associated with the risk of developing future type 2 diabetes. Focusing specifically on sphingolipids, the downregulation of sphingolipid metabolism using the pharmacological inhibitors fumonisin B1 (FB1) and myriocin in mouse islets and Min6 K8 cells (a pancreatic beta-cell like cell line) significantly impaired glucose-stimulated insulin secretion but had no significant impact on whole-body glucose homeostasis or insulin sensitivity., Conclusions/interpretation: We reveal a novel predictive signature and associate reduced sphingolipids with the pathophysiology of transition from GDM to type 2 diabetes. Attenuating sphingolipid metabolism in islets impairs glucose-stimulated insulin secretion.

Background: Both short and prolonged sleep duration have been linked to impaired glucose metabolism. Sleep patterns change during pregnancy, but prospective data are limited on their relation to gestational diabetes.Objective: We sought to prospectively examine the trimester-specific (first and second trimester) association between typical sleep duration in pregnancy and subsequent risk of gestational diabetes, as well as the influence of compensatory daytime napping on this association.Study Design: In the prospective, multiracial Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies-Singleton Cohort, 2581 pregnant women reported their typical sleep duration and napping frequency in the first and second trimesters. Diagnosis of gestational diabetes (n = 107; 4.1%) was based on medical records review. Adjusted relative risks with 95% confidence intervals for gestational diabetes were estimated with Poisson regression, adjusting for demographics, prepregnancy body mass index, and other risk factors.Results: From the first and second trimester, sleep duration and napping frequency declined. Sleeping duration in the second but not first trimester was significantly related to risk of gestational diabetes. The association between second-trimester sleep and gestational diabetes differed by prepregnancy obesity status (P for interaction = .04). Among nonobese but not obese women, both sleeping >8-9 hours or <8-9 hours were significantly related to risk of gestational diabetes: 5-6 hours (adjusted relative risk, 2.52; 95% confidence interval, 1.27-4.99); 7 hours (adjusted relative risk, 2.01; 95% confidence interval, 1.09-3.68); or ≥10 hours (adjusted relative risk, 2.17; 95% confidence interval, 1.01-4.67). Significant effect modification by napping frequency was also observed in the second trimester (P for interaction = .03). Significant and positive association between reduced sleep (5-7 hours) and gestational diabetes was observed among women napping rarely/never (adjusted relative risk, 2.48; 95% confidence interval, 1.20-5.13), whereas no comparable associations were observed among women napping most/sometimes.Conclusion: Our data suggest a U-shaped association between sleep duration and gestational diabetes, and that napping and prepregnancy obesity status may modify this association. [ABSTRACT FROM AUTHOR]

Women who developed gestational diabetes mellitus represent a high-risk population for hypertension later in life. The role of diet in the progression of hypertension among this susceptible population is unknown. We conducted a prospective cohort study of 3818 women with a history of gestational diabetes mellitus in the Nurses' Health Study II as part of the ongoing Diabetes & Women's Health Study. These women were followed-up from 1989 to 2011. Incident hypertension was identified through self-administered questionnaires that were validated previously by medical record review. Adherence scores for the alternative Healthy Eating Index 2010, the alternative Mediterranean diet, and the Dietary Approaches to Stop Hypertension were computed for each participant. Cox proportional hazard models were used to evaluate the associations between dietary scores and hypertension while adjusting for major risk factors for hypertension. We documented 1069 incident hypertension cases during a median of 18.5 years of follow-up. After adjustment for major risk factors for hypertension, including body mass index, alternative Healthy Eating Index 2010, alternative Mediterranean diet, and Dietary Approaches to Stop Hypertension scores were significantly inversely associated with the risk of hypertension; hazard ratio and 95% confidence interval comparing the extreme quartiles (highest versus lowest) were 0.76 (0.61-0.94; P for linear trend =0.03) for AHEI score, 0.72 (0.58-0.90; P for trend =0.01) for Dietary Approach to Stop Hypertension score, and 0.70 (0.56-0.88; P for trend =0.002) for alternative Mediterranean diet score. Adherence to a healthful dietary pattern was related to a lower subsequent risk of developing hypertension among women with a history of gestational diabetes mellitus., (© 2016 American Heart Association, Inc.)

Background: An iron overload may induce pancreatic islet damage and increase risk of diabetes. Women with a history of gestational diabetes mellitus (GDM) are at high risk of developing type 2 diabetes mellitus (T2DM) after pregnancy., Objective: We aimed to examine the association of habitual iron intake with long-term risk of T2DM in this high-risk population., Design: We included 3976 women with a history of GDM from the Nurses' Health Study II cohort as part of the ongoing Diabetes & Women's Health Study. The women were followed up through 2009. Iron intake was assessed with the use of a validated food-frequency questionnaire in 1991 and every 4 y thereafter. We used Cox proportional hazards models to estimate HRs and 95% CIs., Results: We documented 641 incident T2DM cases during 57,683 person-years of observation. Adjusted HRs for T2DM for the highest quartile compared with the lowest quartile were 1.64 (95% CI: 1.20, 2.25; P-trend = 0.02) for total iron intake and 1.80 (95% CI: 1.18, 2.74; P-trend = 0.005) for dietary heme iron intake. In addition, women who consumed ≥30.0 mg supplemental Fe/d, compared with nonusers, had an adjusted HR of 1.83 (95% CI: 1.25, 2.70; P-trend = 0.002)., Conclusion: In women with a history of GDM, greater intakes of total iron, dietary heme iron, and supplemental iron were associated with higher risk of T2DM., (© 2016 American Society for Nutrition.)

The International Association of Diabetes and Pregnancy Study Group (IADPSG) has proposed that blood glucose levels for the diagnosis of gestational diabetes mellitus (GDM) be the values associated with a 1.75-fold increase in the risk of neonatal complications in the Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO) study. However, this recommendation was not adopted by the US National Institutes of Health (NIH) panel as it would have been responsible for a huge increase in the prevalence of GDM with no clear evidence of a reduction of events at such blood glucose values. Considering this aspect, we now propose the use of a blood glucose threshold combination associated with an odds-ratio of 2.0 for neonatal disorders [fasting plasma glucose (FPG)≥ 95 mg/dL, or a 1-h glucose value after a 75-g oral glucose tolerance test (OGTT)≥ 191 mg/dL or a 2-h glucose value ≥ 162 mg/dL] for GDM diagnosis. This would lead to a lower prevalence of GDM and concentrate medical resources on those with the highest risk of complications. This would also allow the use of a similar FPG value for both the diagnosis and therapeutic target of GDM. The IADPSG also proposed screening for dysglycaemia during early pregnancy, using FPG measurement with a similar threshold after 24 weeks of gestation. We propose the same strategy considering an FPG value ≥ 95 mg/dL as abnormal, but only after confirmatory measurements. We also believe that an OGTT should not be used before 24 weeks of gestation as normal values during that time are as yet unknown., (Copyright © 2014 Elsevier Masson SAS. All rights reserved.)

Background: We prospectively assessed whether maternal weight gain at 24-28 weeks of gestation (MWG24) influences the risk of developing gestational complications, such as gestational diabetes mellitus (GDM) and other adverse pregnancy outcomes, in pregnant Korean women., Methods: Maternal weight gain from self-reported pre-pregnancy weight until 24-28 weeks of gestation was measured in 731 pregnant women, and an expected MWG24 was determined using the Institute of Medicine 2009 guidelines. Glucose tolerance, insulin resistance, insulin secretory capacity, anthropometric measurements, lipid profiles, nutrient intakes and pregnancy outcomes were evaluated at 24-28 weeks of gestation. The adjusted odds ratios (ORs) for GDM, large-for-gestational-age infants, small-for-gestational-age infants and preterm delivery were determined according to maternal weight gain by logistic regression analysis after adjusting for covariates., Results: Compared with a normal MWG24, an inadequate MWG24 reduced the OR (0.565) for GDM, but an excessive MWG24 did not affect the OR (0.854). However, ORs for preterm delivery were significantly higher in both inadequate and excessive MWG24 groups in comparison with the normal MWG24. There were no other adverse pregnancy outcomes due to the inadequate MWG24. MWG24 was not associated with a significant increase in ORs for delivering large-for-gestational-age or small-for-gestational-age infants or delivery by caesarean section. Although energy intake was less than the estimated energy requirement in all groups, MWG24 was linearly associated with energy intake such that energy balance was positive in the excessive MWG24 group., Conclusions: This study suggests that both target weight gain and energy intake recommendations for early pregnancy may not be optimal for Korean women and that race-specific recommendations are needed to decrease the risk of GDM without increasing adverse pregnancy outcomes., (Copyright © 2014 John Wiley & Sons, Ltd.)

Background: History of gestational diabetes mellitus (GDM) increases lifetime risk of type 2 diabetes (DM) and the metabolic syndrome (MetS), which increase risk of cardiovascular disease. It is unclear, however, whether GDM increases risk of early atherosclerosis independent of pre-pregnancy obesity and subsequent metabolic disease., Methods and Results: Of 2787 women (18 to 30 years) enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study, we studied 898 (47% black) who were free of DM and heart disease at baseline (1985-1986), delivered ≥1 post-baseline births, reported GDM history, and had common carotid intima media thickness (ccIMT, mm) measured in 2005-2006. We used multivariable linear regression to assess associations between GDM and ccIMT adjusted for race, age, parity, and pre-pregnancy cardiometabolic risk factors. We assessed mediators (weight gain, insulin resistance, blood pressure), and effect modification by incident DM or MetS during the 20-year period. Of the 898 women, 119 (13%) reported GDM (7.6 per 100 deliveries). Average age was 31 at last birth and 44 at ccIMT measurement for GDM and non-GDM groups. Unadjusted mean ccIMT was 0.023 mm higher for GDM than non-GDM groups (P=0.029), but pre-pregnancy BMI attenuated the difference to 0.016 mm (P=0.109). In 777 women without subsequent DM or the MetS, mean ccIMT was 0.023 mm higher for GDM versus non-GDM groups controlling for race, age, parity, and pre-pregnancy BMI (0.784 versus 0.761, P=0.039). Addition of pre-pregnancy insulin resistance index had minimal impact on adjusted mean net ccIMT difference (0.22 mm). Mean ccIMT did not differ by GDM status among 121 women who developed DM or the MetS (P=0.58)., Conclusions: History of GDM may be a marker for early atherosclerosis independent of pre-pregnancy obesity among women who have not developed type 2 diabetes or the metabolic syndrome.