Influence of Acculturation on Risk for Gestational Diabetes Among Asian Women

Impact of the 2009 WIC revision on infant and maternal health: A quasi-experimental multi-state study

Improving food security and dietary quality during pregnancy is vital for maternal and infant health. Poor nutrition can lead to adverse fetal development and complications for women. In 2009, the Special Supplemental Nutrition Program for Women, Infant, and Children (WIC), a US safety net program for low-income pregnant, breastfeeding or postpartum women and young children, was revised to improve dietary quality, promoting intake of whole grains, fruits, and vegetables. Prior studies found the revision improved dietary quality, but its impact on downstream health is less understood. We analyzed 2008-2012 national birth certificate data (N = 11,855,417) and employed a quasi-experimental difference-in-differences analysis to examine pre-post trends in outcomes among women predicted to be to be eligible for WIC (treatment group) while "differencing" out pre-post trends among predicted WIC-ineligible women (control group). Outcomes include infant birth weight and size for gestational age, and maternal gestational-diabetes-mellitus (GDM) and gestational-weight gain (GWG). The 2009 WIC revision was associated with small reductions in birth weight (-3.52 g; 95 %CI, -4.75 to -2.30) and small-for-gestational-age (-0.08 % points; 95 %CI, -0.15, -0.01), and GWG (-0.05 pounds; 95 %CI, -0.09, -0.02). While the results were robust to most sensitivity tests, they were not for some and therefore should be interpreted cautiously. Disparities emerged in the impact on GDM and GWG across subgroups. The limited evidence of positive effects on infant and maternal health underscores the need for ongoing research to better understand the impact of the 2019 WIC revision, including implementation factors and program design, on downstream health.

HBV infection and pregnancy: Increased risks of gestational diabetes and preterm birth

Objective

To investigate the effects of Hepatitis B virus (HBV) infection status on the outcomes of pregnancy.

Methods

A retrospective study was conducted at Shunde Hospital of Southern Medical University (The First People's Hospital of Shunde) from 1st January 2020 to 31st December2022.The study included 13,980 pregnant women, with 1,059 in the HBsAg-positive group (study group) and 12,921 in the HBsAg-negative group (control group). Pregnancy outcomes were compared between the control and study groups.

Results

Pregnant women who tested positive for HBsAg had higher rates of gestational diabetes mellitus (P=0.019; OR, 1.20; 95% CI, 1.03-1.40), intrahepatic cholestasis of pregnancy (P=0.019; OR, 1.85; 95% CI, 1.11-3.09) and preterm birth before 34 weeks (P=0.013; OR, 1.96; 95% CI, 1.15-3.34). The relationship between HBV infection status with gestational diabetes mellitus, intrahepatic cholestasis of pregnancy and preterm birth before 34 weeks was significant.

Conclusions

Pregnant women who tested positive for HBsAg faced a higher likelihood of developing gestational diabetes mellitus, intrahepatic cholestasis of pregnancy, and giving birth prematurely before 34 weeks. Further clarification is required regarding the influence of HBV infection on the outcomes of pregnancy.

Racial/Ethnic and Nativity Disparities in Gestational Diabetes Mellitus, United States 2018-2021

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with adverse pregnancy and birth complications. Asian populations have the highest risk of GDM, with even greater risk among foreign-born (FB) residents. Socio-political factors, such as heightened anti-Asian racism and travel restrictions during COVID19 may have further increased their risk of GDM. Our study sought to examine the associations between race/ethnicity, nativity status, and GDM rate and changes during COVID19.

METHODS

We used the US National Center for Health Statistics natality administrative data (N = 14,219,719). We estimated GDM and birth rates by race/ethnicity (Asian non-Hispanic [NH], Native Hawaiian/Pacific Islander NH, American Indian and Alaska Native NH, Black NH, White NH, Multiracial NH, and Hispanic/Latina) and nativity status (US-born, Foreign-born). Race/ethnicity was evaluated as a social construct for racial discrimination and nativity was evaluated as a proxy for acculturation-related risk factors. We used multivariable robust Poisson regressions to estimate GDM rates per 100 live births for each racial/ethnic group pre-COVID19 (2018-2019) and during COVID19 (2021) by FB status, adjusting for socioeconomic and major pregnancy risk factors.

RESULTS

In adjusted models, both Asian NH and foreign-born persons had higher rates of GDM compared to White NH (rate ratio [RR]: 2.02, 95% confidence interval [CI]: 2.01, 2.04) and US-born (RR; 1.33, 95% CI: 1.32, 1.34) persons, respectively. Overall GDM rates increased significantly during COVID19 (RR: 1.18, 95% CI: 1.17, 1.18), with Asian US- and foreign-born persons experiencing the greatest absolute increase (US-born: +2.5, 95% CI: 2.4, 2.6; foreign-born: +3.6, 95% CI: 3.5, 3.6) compared to other racial/ethnic groups (US-born: range +1.3-1.7, foreign-born range: +0.5-2.9). Disaggregated by Asian ethnicity, Chinese and Vietnamese persons had the highest GDM rates overall and the greatest increase during COVID19.

CONCLUSION

We found significant disparities in GDM rates by race/ethnicity and nativity status between 2018 and 2021, with Asian and foreign-born persons having the highest rates of GDM. Investigation into potential socio-political and other contributing factors of reproductive health inequities during COVID19 may help explain these disparities.

Chicago Neighborhood Context and Racial/Ethnic Disparities in Maternal Diabetes

OBJECTIVES

To determine if rates of maternal diabetes vary by race, ethnicity, and neighborhood hardship.

METHODS

We conducted a secondary analysis of live births in Chicago from 2010 to 2017. Our sample was restricted to Non-Hispanic White, Non-Hispanic Black, Mexican, Non-Hispanic Asian, and Other Hispanic mothers between the ages of 15 and 50, with singleton births. The addresses of mothers were geocoded to specific neighborhoods, which we stratified into tertiles using the Economic Hardship Index. We used generalized logit mixed models to examine the interaction between race/ethnicity, neighborhood economic hardship, and maternal diabetes.

RESULTS

In our cohort of 299,053 mothers, 4.75% were diagnosed with gestational diabetes. Asian mothers had the highest frequency of gestational diabetes (8.3%), followed by Mexican mothers (6.8%). Within their respective racial/ethnic groups, Asian and Mexican mothers living in medium hardship neighborhoods had the highest odds of gestational diabetes compared to the reference group (OR 2.80, 95%CI 2.53, 3.19; OR 2.30, 95%CI 2.12, 2.49 respectively). Overall rates of preexisting diabetes were 0.9% and were highest among Mexican and Black mothers (1.26% and 1.06%, respectively). Asian mothers in medium hardship neighborhoods had the greatest odds of preexisting diabetes, among all Asian mothers and compared to the reference (OR 4.71 95% CI 3.60, 6.16).

CONCLUSIONS

For racial and ethnic minoritized mothers, gestational and preexisting diabetes do not increase in a step-wise fashion with neighborhood hardship; rates were often higher in low and medium hardship neighborhoods.

Characterizing sociodemographic disparities and predictors of Gestational Diabetes Mellitus among Asian and Native Hawaiian or other Pacific Islander pregnant people: an analysis of PRAMS data, 2016-2022

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.

The Health Status of Undocumented Immigrants from Asian Countries in the United States: A Scoping Review and Recommendations for Future Directions

Immigrants from Asian countries are the fastest-growing undocumented population in the United States (U.S.), yet not much is known about their health. This scoping review identifies the nature and extent of scientific literature on the health of undocumented Asian immigrants in the U.S. We conducted a comprehensive search of six electronic databases in 2024. Inclusion criteria were empirical articles written in English, published in peer-reviewed scientific journals from 2010 to 2024, and focused on a health outcome or health-related issue involving undocumented Asian immigrants. Results are summarized narratively. We identified 13 peer-reviewed publications. Nine studies were quantitative, and four were qualitative. Eight studies were conducted in California; two studies used national secondary data sources. Studies were mixed in their research focus. They covered a range of health outcomes and issues, such as mental health (n = 4), health services and access (n = 2), contraceptive use (n = 1), COVID-19 (n = 2), and HIV (n = 1). Three studies measured self-rated health alongside other conditions, such as disability, health insurance coverage, chronic health conditions, and obesity. Scholarship on the health of undocumented Asian immigrants is a growing research area. Given the small number of studies identified, future research with larger diverse samples, more robust methodology, and greater topical variety are warranted to understand the health of this population better and reduce potential inequities.

Maternal Health During the COVID-19 Pandemic in the United States: An Interrupted Time-series Analysis

BACKGROUND

The COVID-19 pandemic, and subsequent policy responses aimed at curbing disease spread and reducing economic fallout, had far-reaching consequences for maternal health. There has been little research to our knowledge on enduring disruptions to maternal health trends beyond the early pandemic and limited understanding of how these impacted pre-existing disparities in maternal health.

METHODS

We leveraged rigorous interrupted time-series methods and US National Center for Health Statistics Vital Statistics Birth Data Files of all live births for 2015-2021 (N = 24,653,848). We estimated whether changes in maternal health trends after the onset of the COVID-19 pandemic (March 2020) differed from predictions based on pre-existing temporal trends. Outcomes included gestational diabetes, hypertensive disorders of pregnancy, gestational weight gain, and adequacy of prenatal care.

RESULTS

We found an increased incidence of gestational diabetes (December 2020 peak: 1.7 percentage points (pp); 95% confidence interval [CI]: 1.3, 2.1), hypertensive disorders of pregnancy (January 2021 peak: 1.3 pp; 95% CI: 0.4, 2.1), and gestational weight gain (March 2021 peak: 0.1 standard deviation; 95% CI: 0.03, 0.1) and declines in inadequate prenatal care (January 2021 nadir: -0.4 pp; 95% CI: -0.7, -0.1). Key differences by subgroups included greater and more sustained increases in gestational diabetes among Black, Hispanic, and less educated individuals.

CONCLUSION

These patterns in maternal health likely reflect not only effects of COVID-19 infection but also changes in healthcare access, health behaviors, remote work, economic security, and maternal stress. Further research about causal pathways and longer-term trends will inform public health and clinical interventions to address maternal disease burden and disparities.

Examining rurality and social determinants of health among women with GDM: a 15-year comprehensive population analysis

BACKGROUND

Gestational diabetes mellitus (GDM) is a common pregnancy complication with long-term health consequences for mothers and their children. The escalating trends of GDM coupled with the growing prevalence of maternal obesity, a significant GDM risk factor projected to approach nearly 60% by 2030 in Kansas, has emerged as a pressing public health issue.

METHODS

The aim of this study was to compare GDM and maternal obesity trends in rural and urban areas and investigate maternal demographic characteristics influencing the risk of GDM development over a 15-year period. Trend analyses and a binary logistic regression were employed utilizing 2005 to 2019 de-identified birth record vital statistics from the Kansas Department of Health and Environment (N = 589,605).

RESULTS

Over the cumulative 15-year period, a higher prevalence of GDM was observed across age, race/ethnicity, education, and insurance source. Throughout this period, there was an increasing trend in both GDM and obese pre-pregnancy BMI age-adjusted prevalence, with noticeable rural-urban disparities. From 2005 to 2019, women, including Asians (OR: 2.73, 95% CI 2.58%-2.88%), American Indian or Alaskan Natives (OR: 1.58, 95%, CI 1.44-1.73%), Hispanics (OR: 1.42, 95% CI 1.37%-1.48%), women residing in rural areas (OR: 1.09, 95%, CI 1.06-1.12%), with advanced maternal age (35-39 years, OR: 4.83 95% CI 4.47%-5.22%; ≥40 years, OR: 6.36 95%, CI 5.80-6.98%), with lower educational status (less than high school, OR: 1.15, 95% CI 1.10%-1.20%; high school graduate, OR: 1.10, 95% CI 1.06%-1.13%), Medicaid users (OR: 1.10, 95% CI 1.06%-1.13%), or with an overweight (OR: 1.78, 95% CI 1.72%-1.84%) or obese (OR: 3.61, 95% CI 3.50%-3.72%) pre-pregnancy BMI were found to be at an increased risk of developing GDM.

CONCLUSIONS

There are persistent rural-urban and racial/ethnic disparities present from 2005 to 2019 among pregnant women in Kansas with or at-risk of GDM. There are several socioeconomic factors that contribute to these health disparities affecting GDM development. These findings, alongside with prominent rising maternal obesity trends, highlight the need to expand GDM services in a predominantly rural state, and implement culturally-responsive interventions for at-risk women.

Integrating polygenic risk scores in the prediction of gestational diabetes risk in China

Background

Polygenic risk scores (PRS) serve as valuable tools for connecting initial genetic discoveries with clinical applications in disease risk estimation. However, limited studies have explored the association between PRS and gestational diabetes mellitus (GDM), particularly in predicting GDM risk among Chinese populations.

Aim

To evaluate the relationship between PRS and GDM and explore the predictive capability of PRS for GDM risk in a Chinese population.

Methods

A prospective cohort study was conducted, which included 283 GDM and 2,258 non-GDM cases based on demographic information on pregnancies. GDM was diagnosed using the oral glucose tolerance test (OGTT) at 24-28 weeks. The strength of the association between PRS and GDM odds was assessed employing odds ratios (ORs) with 95% confidence intervals (CIs) derived from logistic regression. Receiver operating characteristic curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were employed to evaluate the improvement in prediction achieved by the new model.

Results

Women who developed GDM exhibited significantly higher PRS compared to control individuals (OR = 2.01, 95% CI = 1.33-3.07). The PRS value remained positively associated with fasting plasma glucose (FPG), 1-hour post-glucose load (1-h OGTT), and 2-hour post-glucose load (2-h OGTT) (all p < 0.05). The incorporation of PRS led to a statistically significant improvement in the area under the curve (0.71, 95% CI: 0.66-0.75, p = 0.024) and improved discrimination and classification (IDI: 0.007, 95% CI: 0.003-0.012, p < 0.001; NRI: 0.258, 95% CI: 0.135-0.382, p < 0.001).

Conclusions

This study highlights the increased odds of GDM associated with higher PRS values and modest improvements in predictive capability for GDM.

Gestational Diabetes and Subsequent Metabolic Dysfunction: An National Health and Nutrition Examination Survey Analysis (2011-2018)

Background: Gestational diabetes mellitus (GDM) complicates ∼10% of pregnancies, with the highest rates among Asian women. Evidence suggests that GDM is associated with an increased risk for future chronic health conditions, yet data for Asian women are sparse. We explored the association between prior GDM and metabolic dysfunction with nationally representative data to obtain Asian-specific estimates. Methods: For this cross-sectional study, data were drawn from the National Health and Nutrition Examination Survey for 7195 women with a prior pregnancy. GDM (yes/no) was defined using the question "During pregnancy, were you ever told by a doctor or other health professional that you had diabetes, sugar diabetes, or gestational diabetes?." Current metabolic dysfunction (yes/no) was based on having at least one of four indicators: systolic blood pressure (SBP, ≥130 mmHg), waist circumference (≥88 cm), high-density lipoprotein (HDL) cholesterol (<50 mg/dL), and glycosylated hemoglobin (HbA1c) (≥6.5%). Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs) for the association between prior GDM and metabolic outcomes, overall and by race. Models included sampling weights and demographic and behavioral factors. Results: Overall, women with prior GDM had 46% greater odds of high waist circumference (OR: 1.5; 95% CI: 1.1-2.0) and 200% greater odds (OR: 3.0; 95% CI: 2.1-4.2) of high HbA1c. Prior GDM was not associated with high blood pressure or low HDL cholesterol. In race-specific analyses, prior GDM was associated with increased risk of elevated HbA1c among Asian (OR: 6.6; 95% CI: 2.5-17.2), Mexican American (OR: 3.0; 95% CI: 1.5-5.8), Black (OR: 3.0; 95% CI: 1.7-5.5), and White (OR: 2.6; 95% CI: 1.5-4.6) women. Prior GDM was associated with elevated SBP among Mexican American women and low HDL among Black women. Discussion: Prior GDM is associated with elevated HbA1c among all women, yet is a stronger predictor of elevated HbA1c among Asian women than other women. Race-specific associations between prior GDM and metabolic dysfunction were observed among Mexican American and Black women. Further research is warranted to understand the observed race/ethnic-specific associations.

The prevalence of gestational diabetes among underweight and normal weight women worldwide: a scoping review

Background

Gestational diabetes (GDM) affects nearly 15% of pregnancies worldwide and is increasing globally. While this growth is thought to be primarily from overweight and obesity, normal and underweight women are affected as well, particularly in low and middle-income countries. However, GDM in non-overweight women remains understudied. Thus, we examined the prevalence among normal and underweight women globally.

Methods

A comprehensive literature search was performed in Ovid MEDLINE, Ovid EMBASE, and The Cochrane Library. Studies retrieved were screened for eligibility against predefined inclusion/exclusion criteria. Prevalence of GDM among women with normal and underweight body mass index (BMI) was extracted, and average prevalence was calculated globally, by World Health Organization region, and by country. Pregnancy outcomes were described when available.

Results

A total of 145 studies were included. The average global prevalence of GDM among non-overweight women (BMI <25 kg/m2) was 7.3% and among underweight women (BMI <18.5 kg/m2) was 5.0%. GDM prevalence in non-overweight women was highest in Asia (average 12.1%) and lowest in the African region (0.7%). The countries with the highest prevalence were Vietnam (21.1%), Finland (19.8%), Poland (19.3%), Bangladesh (18.65%), and China (17.7%). The average global prevalence of large for gestational age infants (LGA) born to non-overweight women with GDM was 9.9%, which is lower than the average prevalence in the general population with GDM (14%).

Conclusion

GDM is more common than previously recognized in non-overweight women, particularly in Asia, but also in European countries. Non-overweight women with GDM had lower prevalence of LGA babies compared to prior reported prevalence in all women with GDM, though data on pregnancy outcomes was limited. These findings challenge guidelines that recommend restriction of weight gain for GDM management. Further research on the pathophysiology and complications of GDM in women who are not overweight should be urgently conducted to inform appropriate management guidelines and support optimal pregnancy outcomes.

A holistic approach to preventing type 2 diabetes in Asian women with a history of gestational diabetes mellitus: a feasibility study and pilot randomized controlled trial

Background

Gestational Diabetes Mellitus (GDM) exposes women to future risk of Type 2 Diabetes. Previous studies focused on diet and physical activity, less emphasis was given to tackle intertwined risk factors such as sleep and stress. Knowledge remains scarce in multi-ethnic Asian communities. This study explored the: (1) feasibility of a holistic digital intervention on improving diet, physical activity (PA), sleep and stress of Asian women with a history of GDM, and (2) preliminary efficacy of the holistic intervention on women's physical and mental well-being via a pilot randomized controlled trial.

Methods

Female volunteers with a history of GDM but without pre-existing diabetes were recruited from multi-ethnic Singaporean community. Each eligible woman was given a self-monitoring opportunity using Oura Ring that provided daily feedback on step counts, PA, sleep and bedtime heart rate. Intervention group additionally received personalized recommendations aimed to reinforce healthy behaviors holistically (diet, PA, sleep and stress). Dietary intake was evaluated by a research dietitian, while step counts, PA, sleep and bedtime heart rate were evaluated by health coaches based on Oura Ring data. Perceived physical and mental health and well-being were self-reported. Clinical outcomes included glycemic status determined by HbA1c and OGTT tests, body mass index, blood pressures and lipid profile.

Results

Of 196 women from the community, 72 women completed diabetes screening, 61 women were eligible and 56 women completed the study. The 56 completers had mean age of 35.8 ± 3.7 years, predominantly Chinese, majority had their first GDM diagnosed at least 2 years ago and had two GDM-affected pregnancies. After intervention period, more women in the Intervention group achieved at least 8,000 steps/day and had at least 6 hours of sleep per night. Noticeable reduction of added sugar in their food and beverages were observed after the dietary intervention. Changes in body weight and mental well-being were observed but group differences were not statistically significant.

Conclusions

The holistic approach appeared feasible for personalizing lifestyle recommendations to promote physical and mental well-being among women with a history of GDM. Larger studies with sufficient assessment timepoints and follow-up duration are warranted to improve the evaluation of intervention effects on clinical outcomes.

Clinical trial registration number

https://clinicaltrials.gov/show/NCT05512871, NCT05512871.

In vitro fertilization as an independent risk factor for perinatal complications: Single-center 10 years cohort study

OBJECTIVES

Assisted Reproductive Technology (ART) has made great strides in the past forty-years, but no medical treatment comes without side effects. Despite several studies reporting high incidences of perinatal complications, the association is inconclusive. Also, the effect of racially and ethnically distinguished Asian population undergoing ART on perinatal outcomes is not well studied. Therefore, this study attempts to compare various perinatal outcome parameters in ART, and spontaneously conceived singleton pregnancies from a single high-volume tertiary care center.

METHODS

This is a retrospective cohort study from a single tertiary infertility center, carried out from January 2011 to September 2020. The study included 1,125 IVF conceived babies (AB group) and 7,193 spontaneous conceived babies (SB group). The groups were compared using the Pearson Chi-square test and adjusted odds ratio, calculated using the multivariate analysis.

RESULTS

Most of the perinatal complications, such as preterm birth (PTB), early preterm birth, low birth weight (LBW), extremely low birth weight, small for gestational age, large for gestational age babies, neonatal intensive care unit (NICU) admission, need for surfactant, meconium aspiration syndrome, neonatal seizures, intraventricular hemorrhage, hypoxic-ischemic encephalopathy, and patent ductus arteriosus was significantly increased in the AB group when compared to the SB group (p<0.05). In-vitro fertilization (IVF) independently increases the risk of LBW (aOR 2.530; 95% CI 2.194-2.917), PTB (aOR 4.004; 95% CI 3.496-4.587), NICU admission (aOR 2.003; 95% CI 1.610-2.492) and neonatal seizures (aOR 9.805; 95% CI 5.755-16.706).Conclusions: All ART-conceived pregnant patients should receive antenatal counselling regarding perinatal complications and should deliver at a tertiary care center with appropriate NICU support.

Foreign-born status and risk of gestational diabetes mellitus by years of residence in the United States

To explore the association between acculturation among foreign-born (FB) women, gestational diabetes (GDM) and GDM-associated adverse birth outcomes, we conducted a retrospective cohort study of 34,696 singleton pregnancies from Houston, TX, between 2011 and 2022. FB women (n = 18,472) were categorized based on years of residence in US (0-5, 6-10, and > 10 years), while US-born women (n = 16,224) were the reference group. A modified Poisson regression model determined the association between acculturative level and GDM within the entire cohort and stratified by race/ethnicity. Compared to US-born women, FB women with 0-5 years [adjusted relative risk (RRadj.) 1.27, 95% confidence interval [CI] 1.14-1.42)], 6-10 years (RRadj. 1.89, 95%CI 1.68-2.11) and > 10 years in the US (RRadj. 1.85, 95%CI 1.69-2.03) had higher risk of GDM. Results were consistent for all racial/ethnic groups, although associations were not significant at 0-5 years. FB women had lower risk of other adverse pregnancy outcomes, except for preeclampsia with severe features at higher levels of acculturation. Results were similar among those with and without GDM. In conclusion, FB status increases risk of GDM among all racial/ethnic groups but is elevated with higher acculturation levels.

Exploring the potential of microRNA as a diagnostic tool for gestational diabetes

MicroRNAs (miRNAs) are small non-coding RNAs that play critical roles in regulating host gene expression. Recent studies have indicated a role of miRNAs in the pathogenesis of gestational diabetes mellitus (GDM), a common pregnancy-related disorder characterized by impaired glucose metabolism. Aberrant expression of miRNAs has been observed in the placenta and/or maternal blood of GDM patients, suggesting their potential use as biomarkers for early diagnosis and prognosis. Additionally, several miRNAs have been shown to modulate key signaling pathways involved in glucose homeostasis, insulin sensitivity, and inflammation, providing insights into the pathophysiology of GDM. This review summarizes the current knowledge on the dynamics of miRNA in pregnancy, their role in GDM as well as their potential as diagnostic and therapeutic targets.

Prevalence and risk factors contributing to the occurrence of diabetes mellitus in Chinese international migrants: A narrative review

AIMS

This paper reviewed the literature on diabetes prevalence and risk factors associated with diabetes among first-generation Chinese international migrants.

METHODS

MEDLINE, Scopus, Web of Science, CINAHL and Maternity and Infant Care were searched until March 2022, for articles written in English. The quality of the included articles was assessed using the Newcastle-Ottawa Scale.

RESULTS

In total, 17 articles were included (nine for gestational diabetes, six for type 2 diabetes, and none for type 1 diabetes). The average crude prevalence rate for type 2 diabetes and gestational diabetes was 12.1% and 9.3% respectively. Risk factors contributing to the occurrence of type 2 diabetes included older age, sex, family history of type 2 diabetes, higher BMI/waist circumference, longer time since migration, alcohol consumption, smoker, hypertension, and high triglycerides. Risk factors contributing to the occurrence of gestational diabetes included older maternal age, history of gestational diabetes, higher weight/pre-pregnancy BMI, longer time since migration, and Chinese ethnicity.

CONCLUSIONS

We identified a research gap in the diabetes health of Chinese migrants, particularly for type 1 diabetes, highlighting the need for ethnic-specific diabetes research and care, including for subsequent generations of migrants and those living in developing countries.

Prepregnancy body mass index and gestational diabetes mellitus across Asian and Pacific Islander subgroups in California

BACKGROUND

The American College of Obstetricians and Gynecologists recommends early screening for gestational diabetes mellitus among pregnant Asian people with a prepregnancy body mass index ≥23.0 kg/m2, in contrast with the recommended screening at a body mass index ≥25 kg/m2 for other races and ethnicities. However, there is significant heterogeneity within Asian and Pacific Islander populations, and gestational diabetes mellitus and its association with body mass index among Asian and Pacific Islander subgroups may not be uniform across all groups.

OBJECTIVE

This study aimed to analyze the association between body mass index and gestational diabetes mellitus among Asian and Pacific Islander subgroups in California, specifically gestational diabetes mellitus rates among those with a body mass index above vs below 23 kg/m2, which is the cutoff point for the designation of being overweight among Asians populations.

STUDY DESIGN

Using a linked delivery hospitalization discharge and vital records database, we identified patients who gave birth in California between 2007 and 2017 and who self-reported to be 1 of 13 Asian and Pacific Islander subgroups, which was collected from birth and fetal death certificates. In each subgroup, we evaluated the association between body mass index and gestational diabetes mellitus using multivariable logistic regression models adjusted for age, education, parity, payment method, the trimester in which prenatal care was initiated, and nativity. We fit body mass index nonlinearly with splines and categorized body mass index as being above or below 23 kg/m2. Predicted probabilities of gestational diabetes mellitus with 95% confidence intervals were calculated across body mass index values using the nonlinear regression models.

RESULTS

The overall prevalence of gestational diabetes mellitus was 14.3% (83,400/584,032), ranging between 8.4% and 17.1% across subgroups. The highest prevalence was among Indian (17.1%), Filipino (16.7%), and Vietnamese (15.5%) subgroups. In these subgroups, gestational diabetes mellitus was diagnosed in 10% to 13% of those with a body mass index <23.0 kg/m2 and in 22% of those with a body mass index ≥23 kg/m2. Gestational diabetes mellitus was least common among Korean (8.4%), Japanese (9.0%), and Samoan (9.8%) subgroups with a gestational diabetes mellitus rate of 5% to 7% among those with a body mass index <23.0 kg/m2 and in 10% to 15% among those with a body mass index ≥23 kg/m2. Although Samoan patients had the highest rate of obesity, defined as body mass index ≥30 kg/m2 (57.4%), they had the third lowest prevalence of gestational diabetes mellitus. Conversely, Vietnamese patients had the second lowest rate of obesity (2.4%) but the highest rate of gestational diabetes mellitus at a body mass index of ≥23 kg/m2 (22.3%).

CONCLUSION

Gestational diabetes mellitus and its association with body mass index varied among Asian subgroups but increased as body mass index increased. Subgroups with the lowest prevalence of obesity trended toward a higher prevalence of gestational diabetes mellitus and those with a higher prevalence of obesity trended toward a lower prevalence of gestational diabetes mellitus.

Trends in gestational diabetes mellitus among nulliparous pregnant individuals with singleton live births in the United States between 2011 to 2019: an age-period-cohort analysis

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.

Acculturation and Cardiometabolic Abnormalities Among Chinese and Korean Americans

Background

Studies generally show that higher acculturation is associated with greater cardiovascular disease (CVD) risk among immigrants in the United States (US). However, few studies have compared how proxies of acculturation are differentially associated with metabolic abnormalities measured using objective biomarkers, self-reported diagnosis, and medication use, particularly among East Asian Americans.

Methods

Survey data and biomarker measurements collected from random (non-fasting) blood samples of Chinese and Korean immigrants in the US (n = 328) were used to examine the associations between two proxies for acculturation (years living in the US and English speaking proficiency) with three cardiometabolic abnormalities (high triglyceride levels, diabetes, and hypercholesterolemia). Poisson regression models estimated prevalence ratios adjusted for demographic characteristics, socioeconomic factors, and body mass index. Gender, Asian subgroup, and household income were tested as potential effect modifiers.

Results

Living longer in the US was associated with greater likelihood of having high triglycerides. In addition, living longer in the US was associated with greater likelihood of diabetes for people with lower household income and greater likelihood of hypercholesterolemia for people with higher household income. Higher level of English proficiency was less consistently associated with higher cardiometabolic risk, although there was a significant association with greater likelihood of hypercholesterolemia.

Conclusions

Longer time lived in the US is associated with higher risk of cardiometabolic abnormalities among Chinese and Korean Americans. Future studies of acculturation and cardiometabolic risk should carefully consider potential mechanisms and what proxy measures of acculturation capture.

Trial Registration Number

NCT03481296, date of registration: 3/29/2018.

A Scoping Review on Gestational Diabetes in Hawai'i: A "Window of Opportunity" to Address Intergenerational Risk for Type 2 Diabetes Mellitus

The health of women over the entire span of their reproductive years is crucial - beginning in adolescence and extending through the postpartum period. This paper provides a scoping review of the relevant literature on risk factors for gestational diabetes mellitus (GDM) and progression from GDM to type 2 diabetes mellitus (T2DM), particularly among women of Native Hawaiian and Pacific Islander (NHPI) and Asian racial/ethnic backgrounds in Hawai'i, using the PubMed database (July 2010 to July 2020). NHPI and Asian populations have a greater likelihood of developing GDM compared to their White counterparts. Risk factors such as advanced maternal age, high maternal body mass index, and lack of education about GDM have varying levels of impact on GDM diagnosis between ethnic populations. Mothers who have a history of GDM are also at higher risk of developing T2DM. Common risk factors include greater increase in postpartum body mass index and use of diabetes medications during pregnancy. However, few studies investigate the progression from GDM to T2DM in Hawai'i's Asian and NHPI populations, and no studies present upstream preconception care programs to prevent an initial GDM diagnosis among Hawai'i's women. Thus, updated reports are necessary for optimal early interventions to prevent the onset of GDM and break the intergenerational cycle of increased susceptibility to T2DM and GDM in both mother and child. Further attention to the development of culturally sensitive interventions may reduce disparities in GDM and improve the health for all affected by this condition.

Interaction of Polygenetic Variants for Gestational Diabetes Mellitus Risk with Breastfeeding and Korean Balanced Diet to Influence Type 2 Diabetes Risk in Later Life in a Large Hospital-Based Cohort

The etiologies of gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM) are similar. Genetic and environmental factors interact to influence the risk of both types of diabetes. We aimed to determine if the polygenetic risk scores (PRS) for GDM risk interacted with lifestyles to influence type 2 diabetes risk in women aged >40 years in a large hospital-based city cohort. The participants with GDM diagnosis without T2DM before pregnancy were considered the case group (n = 384) and those without GDM and T2DM as the control (n = 33,956) to explore GDM-related genetic variants. The participants with T2DM were the case (n = 2550), and the control (n = 33,956) was the same as GDM genetic analysis for the interaction analysis of GDM genetic risk with lifestyles to influence T2DM risk. The genetic variants for the GDM risk were selected from a genome-wide association study (GWAS), and their PRS from the best model with gene-gene interactions were generated. GDM was positively associated with age at first pregnancy, body mass index (BMI) at age 20, and education level. A previous GDM diagnosis increased the likelihood of elevated fasting serum glucose concentrations and HbA1c contents by 8.42 and 9.23 times in middle-aged and older women. However, it was not associated with the risk of any other metabolic syndrome components. Breast-feeding (≥1 year) was inversely associated with the T2DM risk in later life. In the genetic variant-genetic variant interaction, the best model with 5-SNPs included PTPRD_rs916855529, GPC6_rs9589710, CDKAL1_rs7754840, PRKAG2_rs11975504, and PTPRM_rs80164908. The PRS calculated from the 5-SNP model was positively associated with the GDM risk by 3.259 (2.17-4.89) times after adjusting GDM-related covariates. The GDM experience interacted with PRS for the T2DM risk. Only in non-GDM women PRS was positively associated with T2DM risk by 1.36-times. However, long breastfeeding did not interact with the PRS for T2DM risk. Among dietary patterns, only a Korean-style balanced diet (KBD) showed an interaction with PRS for the T2DM risk. Participants with a low-PRS had the lowest serum glucose concentrations in the high KBD intake but not low KBD intake. In conclusion, participants with a high PRS for GDM risk are positively associated with T2DM risk, and breastfeeding for ≥1 year and consuming KBD offset the PRS for GDM risk to influence T2DM risk in middle-aged and older.

Trends in Gestational Diabetes at First Live Birth by Race and Ethnicity in the US, 2011-2019

IMPORTANCE

Gestational diabetes is associated with adverse maternal and offspring outcomes.

OBJECTIVE

To determine whether rates of gestational diabetes among individuals at first live birth changed from 2011 to 2019 and how these rates differ by race and ethnicity in the US.

DESIGN, SETTING, AND PARTICIPANTS

Serial cross-sectional analysis using National Center for Health Statistics data for 12 610 235 individuals aged 15 to 44 years with singleton first live births from 2011 to 2019 in the US.

EXPOSURES

Gestational diabetes data stratified by the following race and ethnicity groups: Hispanic/Latina (including Central and South American, Cuban, Mexican, and Puerto Rican); non-Hispanic Asian/Pacific Islander (including Asian Indian, Chinese, Filipina, Japanese, Korean, and Vietnamese); non-Hispanic Black; and non-Hispanic White.

MAIN OUTCOMES AND MEASURES

The primary outcomes were age-standardized rates of gestational diabetes (per 1000 live births) and respective mean annual percent change and rate ratios (RRs) of gestational diabetes in non-Hispanic Asian/Pacific Islander (overall and in subgroups), non-Hispanic Black, and Hispanic/Latina (overall and in subgroups) individuals relative to non-Hispanic White individuals (referent group).

RESULTS

Among the 12 610 235 included individuals (mean [SD] age, 26.3 [5.8] years), the overall age-standardized gestational diabetes rate significantly increased from 47.6 (95% CI, 47.1-48.0) to 63.5 (95% CI, 63.1-64.0) per 1000 live births from 2011 to 2019, a mean annual percent change of 3.7% (95% CI, 2.8%-4.6%) per year. Of the 12 610 235 participants, 21% were Hispanic/Latina (2019 gestational diabetes rate, 66.6 [95% CI, 65.6-67.7]; RR, 1.15 [95% CI, 1.13-1.18]), 8% were non-Hispanic Asian/Pacific Islander (2019 gestational diabetes rate, 102.7 [95% CI, 100.7-104.7]; RR, 1.78 [95% CI, 1.74-1.82]), 14% were non-Hispanic Black (2019 gestational diabetes rate, 55.7 [95% CI, 54.5-57.0]; RR, 0.97 [95% CI, 0.94-0.99]), and 56% were non-Hispanic White (2019 gestational diabetes rate, 57.7 [95% CI, 57.2-58.3]; referent group). Gestational diabetes rates were highest in Asian Indian participants (2019 gestational diabetes rate, 129.1 [95% CI, 100.7-104.7]; RR, 2.24 [95% CI, 2.15-2.33]). Among Hispanic/Latina participants, gestational diabetes rates were highest among Puerto Rican individuals (2019 gestational diabetes rate, 75.8 [95% CI, 71.8-79.9]; RR, 1.31 [95% CI, 1.24-1.39]). Gestational diabetes rates increased among all race and ethnicity subgroups and across all age groups.

CONCLUSIONS AND RELEVANCE

Among individuals with a singleton first live birth in the US from 2011 to 2019, rates of gestational diabetes increased across all racial and ethnic subgroups. Differences in absolute gestational diabetes rates were observed across race and ethnicity subgroups.

Gestational diabetes mellitus by maternal country of birth and length of residence in immigrant women in Norway

AIMS

Immigrant women are at higher risk for gestational diabetes mellitus (GDM) than non-immigrant women. This study described the prevalence of GDM in immigrant women by maternal country of birth and examined the associations between immigrants' length of residence in Norway and GDM.

METHODS

This Norwegian national population-based study included 192,892 pregnancies to immigrant and 1,116,954 pregnancies to non-immigrant women giving birth during the period 1990-2013. Associations were reported as odds ratios (ORs) with 95% confidence intervals (CIs) using logistic regression models, adjusted for year of delivery, maternal age, marital status, health region, parity, education and income.

RESULTS

The prevalence and adjusted OR [CI] for GDM were substantially higher in immigrant women from Bangladesh (7.4%, OR 8.38 [5.41, 12.97]), Sri Lanka (6.3%, OR 7.60 [6.71, 8.60]), Pakistan (4.3%, OR 5.47 [4.90, 6.11]), India (4.4%, OR 5.18 [4.30, 6.24]) and Morocco (4.3%, OR 4.35 [3.63, 5.20]) compared to non-immigrants (prevalence 0.8%). Overall, GDM prevalence increased from 1.3% (OR 1.25 [1.14, 1.36]) to 3.3% (OR 2.55 [2.39, 2.71]) after 9 years of residence in immigrants compared to non-immigrant women. This association was particularly strong for women from South Asia.

CONCLUSIONS

Gestational diabetes mellitus prevalence varied substantially between countries of maternal birth and was particularly high in immigrants from Asian countries. GDM appeared to increase with longer length of residence in certain immigrant groups.

Acculturation and endocrine disrupting chemical-associated personal care product use among US-based foreign-born Chinese women of reproductive age

BACKGROUND

Personal care products (PCPs) are an important source of endocrine disrupting chemicals (EDCs) linked to adverse reproductive health outcomes.

OBJECTIVE

We evaluated EDC-associated PCP use and acculturation among Asian women.

METHODS

Our study included 227 foreign-born Chinese women ages 18-45 seeking obstetrics-gynecology care at community health centers (Boston, MA). Acculturation was measured by English-language use, length of US residence, and age at US entry. Self-reported use of PCPs (crème rinse/conditioner, shampoo, perfume/cologne, bar soap/body wash, liquid hand soap, moisturizer/lotion, colored cosmetics, sunscreen, and nail polish) in the last 48 h was collected. Latent class analysis was used to identify usage patterns. We also conducted multivariable logistic to determine the cross-sectional associations of acculturation measures and the use of individual PCP types.

RESULTS

Those who used more PCP types, overall and by each type, tended to be more acculturated. Women who could speak English had 2.77 (95% CI: 1.10-7.76) times the odds of being high PCP users compared to their non-English speaking counterparts. English-language use was associated with higher odds of using perfume/cologne and nail polish.

SIGNIFICANCE

Our findings give insight about EDC-associated PCP use based on acculturation status, which can contribute to changes in immigrant health and health disparities.

A review of maternal overweight and obesity and its impact on cardiometabolic outcomes during pregnancy and postpartum

The rates of maternal overweight and obesity, but also excess gestational weight gain, are increasing. Pregnancy complications, including gestational diabetes mellitus, gestational hypertension, pre-eclampsia and delivery of a preterm or growth restricted baby, are higher for both women with overweight and obesity and women who gain excess weight during their pregnancy. Other conditions such as polycystic ovary syndrome are also strongly linked to overweight and obesity and worsened pregnancy complications. All of these conditions place women at increased risk for future cardiometabolic diseases. If overweight and obesity, but also excess gestational weight gain, can be reduced in women of reproductive age, then multiple comorbidities associated with pregnancy complications may also be reduced in the years after childbirth. This narrative review highlights the association between maternal overweight and obesity and gestational weight gain, with gestational diabetes, pre-eclampsia, polycystic ovary syndrome and delivery of a preterm or growth restricted baby. This review also addresses how these adverse conditions are linked to cardiometabolic diseases after birth. We report that while the independent associations between obesity and gestational weight gain are evident across many of the adverse conditions assessed, whether body mass index or gestational weight gain is a stronger driving factor for many of these is currently unclear. Mechanisms linking gestational diabetes mellitus, gestational hypertension, pre-eclampsia, preterm delivery and polycystic ovary syndrome to heightened risk for cardiometabolic diseases are multifactorial but relate to cardiovascular and inflammatory pathways that are also found in overweight and obesity. The need for post-partum cardiovascular risk assessment and follow-up care remains overlooked. Such early detection and intervention for women with pregnancy-related complications will significantly attenuate risk for cardiovascular disease.

The influence of acculturation on the risk of stillbirth in migrant women residing in Western Australia

Objective

To investigate the influence of acculturation, demonstrated by age on arrival, length of residence, interpreter use and having an Australian-born partner, on disparities observed in the risk of stillbirth between migrant and Australian-born populations in Western Australia (WA).

Methods

A retrospective cohort study using linked administrative health data for all non-Indigenous births in WA from 2005–2013 was performed. Logistic regression analysis was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Adjusted odds ratios (aOR) for stillbirth in migrants from six ethnicities of white, Asian, Indian, African, Māori, and ‘other’, with different levels of acculturation, were compared with Australian-born women using multivariable logistic regression analysis and marital status, maternal age group, socioeconomic status, parity, plurality, previous stillbirth, any medical conditions, any pregnancy complications, sex of baby, and smoking during pregnancy as the covariates.

Results

From all births studied, 172,571 (66%) were to Australian-born women and 88,395 (34%) to migrant women. Women from African, Indian and Asian backgrounds who gave birth in the first two years after arrival in Australia experienced the highest risk of stillbirth (aOR 3.32; 95% CI 1.70–6.47, aOR 2.71; 95% CI 1.58–4.65, aOR 1.93; 95% CI 1.21–3.05 respectively) compared with Australian-born women. This association attenuated with an increase in the length of residence in Asian and Indian women, but the risk of stillbirth remained elevated in African women after five years of residence (aOR 1.96 [1.10–3.49]). Interpreter use and an Australian-born partner were associated with 56% and 20% lower odds of stillbirth in migrants (p<0.05), respectively.

Conclusions

Acculturation is a multidimensional process and may lower the risk of stillbirth through better communication and service utilisation and elevate such risk through increase in prevalence of smoking in pregnancy; the final outcome depends on how these factors are in play in a population. It is noteworthy that in women of African background risk of stillbirth remained elevated for longer periods after immigrating to Australia extending beyond five years. For migrants from Asian and Indian backgrounds, access to services, in the first two years of residence, may be more relevant. Enhanced understanding of barriers to accessing health services and factors influencing and influenced by acculturation may help developing interventions to reduce the burden of stillbirth in identified at-risk groups.