Risk Of Gestational Diabetes Mellitus Research Articles

Association Between Serum Uric Acid and Pregnancy Outcomes: A Study in Chinese Women

ABSTRACT Objective The study aims to explore the relationship between serum uric acid (UA) levels in the first trimester and pregnancy outcomes. Methods The clinical data of 1381 pregnant women who delivered in the Department of Obstetrics and Gynecology of Beijing Chao-Yang Hospital from June 2021 to July 2022 were collected. All patients were categorized into four groups (Q1-Q4) according to quartiles of UA, using the first quartile of UA as the reference group. Logistic regression analysis was used to observe the correlation between UA and pregnancy outcomes. Restricted cubic spline (RCS) was drawn to observe the dose-response relationship between UA and pregnancy outcomes. Results The numbers of GDM patients in Q1-Q4 were 40 (11.70%), 46 (13.49%), 60 (17.29%) and 83 (23.65%), respectively (p < 0.001). Logistic regression analysis showed that higher quartiles of UA were significantly associated with an increased prevalence of gestational diabetes mellitus (GDM). After adjusting for confounding factors (maternal age, prepregnancy BMI, gestational weight gain, and gestational age), compared with the lowest quartile of UA, the highest quartile of UA had 2.06 times odds of GDM (OR, 2.06; 95% CI, 1.34, 3.18; p = 0.001) in Q4. RCS suggested that the risk of GDM increased slowly until UA levels reached 219.43 µmol/L and then began to increase rapidly afterward (overall p = 0.0037). Conclusions Increased uric acid concentrations in the first trimester are associated with an increased risk of GDM and gestational hypertension.

Hemoglobin concentrations in early pregnancy and their associations with adverse pregnancy outcomes in Western China: a population-based study.

Despite the global standardization of hemoglobin (Hb) testing in early pregnancy, the impact of first trimester Hb concentrations on pregnancy outcomes remains inadequately understood. Also, the early pregnancy Hb concentrations have not been well documented in Western China. Therefore, this study aimed to assess the Hb concentrations during early pregnancy and their associations with adverse pregnancy outcomes in Western China. This cross-sectional study used data from the Chengdu Maternal and Child Health Information System for pregnant women who delivered between January 1, 2019, and December 31, 2023. A total of 454,815 Chinese females aged 15 to 49 years with available first trimester Hb data, including those with singleton or multiple gestations, were included in the analysis. Multivariable logistic regression models were performed to estimate the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for associations between Hb categories and adverse pregnancy outcomes. The average first trimester Hb concentration was 126.0 (SD 10.5) g/L, with 5.8% of pregnant women experiencing anemia during early pregnancy. Multivariable logistic regression analyses revealed significantly increased odds of developing gestational diabetes mellitus (GDM) and gestational hypertensive disorders (GHD) across increasing Hb concentration categories. Compared to Hb concentrations of 110-119g/L, Hb ≥ 140g/L was associated with elevated risk of GDM (aOR: 1.57, 95% CI: 1.52, 1.62) and GHD (aOR: 1.87, 95% CI: 1.79, 1.96). Moreover, both Hb ≤ 99g/L (aOR: 1.15, 95% CI: 1.03, 1.29) and Hb ≥ 140g/L (aOR: 1.20, 95% CI: 1.13, 1.26) were associated with higher odds of preterm birth compared to Hb concentrations of 110-119g/L. In addition, the restricted cubic spline demonstrated a U-shaped relationship for cesarean delivery, low birthweight and small for gestational age (p < 0.001). However, no significant associations were found between first trimester Hb concentrations and the odds of stillbirth, Apgar score < 7 at 5min, or Apgar score < 7 at 10min (p > 0.05). Our research findings suggest associations between first trimester Hb concentrations and various adverse pregnancy outcomes. We recommend interventions for early pregnancy anemia, particularly moderate to severe cases, and emphasize monitoring females with high Hb concentrations to reduce adverse outcomes.

Impact of family income on the development of gestational diabetes mellitus and the associated birth outcomes: A nationwide study.

The relationship between economic disadvantages and the risk of developing gestational diabetes mellitus (GDM), as well as its impact on birth outcomes, remains uncertain. From the Taiwan Maternal and Child Health Database, we identified 984,712 pregnant women between 1 January 2007 and 31 December 2018. Using propensity score matching, we selected 5,068 pairs of women across four income levels: very low, low, middle and high. We used a multivariable Cox regression model to assess the risk of GDM in these pregnant women and analyzed the birth outcomes. The mean age of the pregnant women was 30.89 years. We found no significant difference in GDM risk among pregnant women with different family income. However, newborns of women with GDM and very low-income were at higher risk for several adverse conditions, such as small for gestational age (adjusted odds ratio (aOR) 1.17, 95% confidence interval (CI) 1.04-1.31), large for gestational age (aOR 1.27, 95% CI 1.08-1.51), hypoxic-ischemic encephalopathy (aOR 3.19, 95% CI 1.15-8.86), respiratory distress (aOR 1.58, 95% CI 1.14-2. 19), congenital anomalies (aOR 1.32, 95% CI 1.08-1.62), jaundice requiring phototherapy or exchange transfusion (aOR 1.14, 95% CI 1.05-1.24) and so on. This study found that low family income alone was not associated with GDM development. However, for a GDM pregnancy, pregnant women with lower income had worse birth outcomes. Improving maternal health and nutrition among low-income pregnant women with GDM might be critical to improving birth outcomes.

Early continuous glucose monitoring-derived glycemic patterns are associated with subsequent insulin resistance and gestational diabetes mellitus development during pregnancy.

Gestational diabetes mellitus (GDM) and insulin resistance (IR) increase the risk of adverse pregnancy outcomes. We aimed to examine the relationship of interstitial glucose assessed by continuous glucose monitoring (CGM) at early gestation, and the subsequent development of IR and GDM, and to determine 24-h interstitial glucose centile distributions in women with normal (non-IR and non-GDM) and suboptimal glycemic status (IR and/or GDM). CGM measurements were taken for 3-10days at 18-24weeks' gestation, followed by fasting serum insulin and oral glucose tolerance testing at 24-28weeks' gestation. IR and GDM were determined by the updated Homeostasis Model Assessment of IR score of ≥ 1.22 and 2013 World Health Organization criteria, respectively. Risks of IR and GDM were estimated using modified Poisson models, and hourly interstitial glucose centiles determined using Generalized Additive Models for Location, Scale and Shape. This prospective cohort study involved 167 pregnant women in Singapore, with a mean age of 31.7years, body mass index of 22.9kg/m2, and gestation of 20.3weeks. 25% of women exhibited IR and 18% developed GDM. After confounders adjustment, women with suboptimal glycemic control, indicated by higher mean daily glucose (risk ratio 1.42; 95% confidence interval 1.16, 1.73), glucose management indicator (1.08; 1.03, 1.12), and J-index (1.04; 1.02, 1.06), as well as those with greater glycemic variability, indicated by higher standard deviation (1.69; 1.37, 2.09), coefficient of variation (1.03; 1.00, 1.06), and mean amplitude of glycemic excursions (1.4; 1.14, 1.35) derived from CGM in early gestation were associated with higher risks of developing IR in later gestation. These associations were similarly observed for the development of GDM. Centile curves showed that, compared to those with normal glycemic status, women with suboptimal glycemic status had higher glucose levels, with greater fluctuations throughout 24h. In pregnant women who subsequently developed IR and GDM, interstitial glucose levels assessed by CGM were elevated and varied greatly. This supports the potential use of CGM to screen for glycemic changes early in pregnancy.

The metabolic and circadian signatures of gestational diabetes in the postpartum period characterised using multiple wearable devices.

Gestational diabetes mellitus (GDM) affects 14% of all pregnancies worldwide and is associated with cardiometabolic risk. We aimed to exploit high-resolution wearable device time-series data to create a fine-grained physiological characterisation of the postpartum GDM state in free-living conditions, including clinical variables, daily glucose dynamics, food and drink consumption, physical activity, sleep patterns and heart rate. In a prospective observational study, we employed continuous glucose monitors (CGMs), a smartphone food diary, triaxial accelerometers and heart rate and heart rate variability monitors over a 2 week period to compare women who had GDM in the previous pregnancy (GDM group) and women who had a pregnancy with normal glucose metabolism (non-GDM group) at 1-2 months after delivery (baseline) and 6 months later (follow-up). We integrated CGM data with ingestion events recorded with the smartphone app MyFoodRepo to quantify the rapidity of returning to preprandial glucose levels after meal consumption. We inferred the properties of the underlying 24 h rhythm in the baseline glucose. Aggregating the baseline and follow-up data in a linear mixed model, we quantified the relationships between glycaemic variables and wearable device-derived markers of circadian timing. Compared with the non-GDM group (n=15), the GDM group (n=22, including five with prediabetes defined based on fasting plasma glucose [5.6-6.9 mmol/l (100-125 mg/dl)] and/or HbA1c [39-47 mmol/mol (5.7-6.4%)]) had a higher BMI, HbA1c and mean amplitude of glycaemic excursion at baseline (all p≤0.05). Integrating CGM data and ingestion events showed that the GDM group had a slower postprandial glucose decrease (p=0.01) despite having a lower proportion of carbohydrate intake, similar mean glucose levels and a reduced amplitude of the underlying glucose 24 h rhythm (p=0.005). Differences in CGM-derived variables persisted when the five women with prediabetes were removed from the comparison. Longitudinal analysis from baseline to follow-up showed a significant increase in fasting plasma glucose across both groups. The CGM-derived metrics showed no differences from baseline to follow-up. Late circadian timing (i.e. sleep midpoint, eating midpoint and peak time of heart rate) was correlated with higher fasting plasma glucose and reduced amplitudes of the underlying glucose 24 h rhythm (all p≤0.05). We reveal GDM-related postpartum differences in glucose variability and 24 h rhythms, even among women clinically considered to be normoglycaemic. Our results provide a rationale for future interventions aimed at improving glucose variability and encouraging earlier daily behavioural patterns to mitigate the long-term cardiometabolic risk of GDM. ClinicalTrials.gov no. NCT04642534.

Interaction between Dietary Magnesium Intake and Genetic Risk Score on the Risk of Gestational Diabetes.

We aim to assess the interaction between genetic risk and magnesium (Mg) intake during pregnancy on the development of gestational diabetes mellitus (GDM). Three thousand ninety-six pregnant women from Tongji Maternal and Child Health Cohort are involved in our study. One hundred twelve susceptibility genetic variants of diabetes are selected and genotyped through Asian Screening Array bead chip. Mg intake were assessed by a validated food frequency questionnaire conducted at gestational weeks 25.1 ±2.7 before GDM diagnosis. The study identifies 22 variants associated with GDM. Weighted genetic risk score (GRS) based on these 22 SNPs is associated with higher occurrence of GDM. There is an interaction between GRS and Mg intake on GDM risk (p-interaction = 0.019). Pregnant women with high GRS (≥23.48) and insufficient Mg intake (<370.0mgd-1) have a 1.74 (95% confidence interval [CI]: 1.02, 2.98) fold risk of GDM after adjusting for potential confounders. No such relationship exists among pregnant women with low GRS (<23.48) (adjusted relative risk [RR] = 1.18; 95% CI: 0.73, 1.92). Genetic predisposition to GDM is modified by Mg intake. This suggests that clinical nutrition guidance may benefit from being tailored by screening women with high diabetic genetic risk.

Potato Intake and the Risk of Overweight/Obesity, Hypertension, Diabetes, and Cardiovascular Disease: A Systematic Review and Meta-analysis of Observational Studies.

Results from observational studies and meta-analyses examining the relationship between total, fried, and nonfried potato intake and cardiometabolic disease remain conflicted. The aim was to synthesize existing evidence on the relationships between total potato intake and specific types of potato intake with the risk of overweight/obesity, hypertension, diabetes, gestational diabetes mellitus (GDM), cardiovascular disease (CVD), coronary heart disease (CHD), and stroke. Systematic searches were conducted in PubMed, Embase, and Web of Science until July 13, 2023. Data extracted from studies included first author, publication year, location, data source, follow-up duration (cohort studies only), demographics, sample size, cases, outcomes, exposure and outcome types, measurements, adjustments, study design, potato intake categories, and adjusted risk estimates (odds ratio, relative risk [RR], hazard ratio) with 95% CIs. Random-effects models were applied to estimate the summary RRs and 95% CIs. Fifty-one articles (103 studies) were identified in the current meta-analysis. Comparing the highest with the lowest categories of total potato intake, total potato intake was not associated with hypertension (summary RR = 1.07; 95% CI: 0.95, 1.21), diabetes (1.08; 95% CI: 0.96, 1.22), GDM (1.16; 95% CI: 0.86, 1.57), CHD (1.00; 95% CI: 0.99, 1.02), CVD (0.97; 95% CI: 0.91, 1.03), or stroke (0.97; 95% CI: 0.88, 1.06); fried potato intake was not associated with overweight/obesity (1.24; 95% CI: 0.90, 1.70) or GDM (1.03; 95% CI: 0.97, 1.09) but was significantly associated with increased diabetes risk (1.16; 95% CI: 1.04, 1.30); nonfried potato intake was significantly associated with increased diabetes risk (1.05; 95% CI: 1.01, 1.10) but not hypertension (1.06; 95% CI: 0.97, 1.15). Total potato intake was not associated with an increased risk of hypertension, diabetes, GDM, or cardiometabolic disease, but both fried and nonfried potato intake may increase the risk of diabetes but not other cardiometabolic diseases. Future cohort studies are needed to explore the association between different types of potato intake and cardiometabolic disease. In addition, the limited number of studies on total potato intake and overweight/obesity/heart failure, fried potato intake and CHD/stroke/heart failure, and nonfried potato intake and overweight/obesity/GDM/CHD/CVD/heart failure prevented us from conducting an analysis. PROSPERO registration no. RD42023454244.

Association between serum neuregulin 4 and the risk of gestational diabetes mellitus: A 1:1 matched case–control study

Association between serum neuregulin 4 and the risk of gestational diabetes mellitus: A 1:1 matched case–control study

Exposure to alkylphenols during early pregnancy and the risk of gestational diabetes mellitus: Fetal sex-specific effects

Alkylphenols (APs) may cause gestational diabetes mellitus (GDM) in pregnant women by impairing glucose metabolism through endocrine disruption. However, the current literature has limited epidemiological evidence on the association between APs exposure and the risk of GDM, especially the lack of evidence on joint exposure. Thus, we evaluated the effect of exposure to APs during early pregnancy on the risk of GDM. The study involved 2035 pregnant women from Guangxi Zhuang Birth Cohort (GZBC) in China. Poisson regression model, restricted cubic spline (RCS), Bayesian kernel machine regression (BKMR), and quantile g-computation (Qgcomp) were conducted to evaluate the effects of serum APs levels on the risk of GDM in pregnant women. For each Ln-unit increase in the serum nonylphenol (NP) of pregnant women, the adjusted relative risk (RR) for GDM risk was 1.12 (95 % CI: 1.00, 1.24). After sex stratification, the effect was more pronounced among pregnant women carrying female fetuses（RR=1.22; 95 % CI: 1.09, 1.38). The serum 4-t-octylphenol (4-T-OP) of the medium-exposure (adjusted RR = 3.25: 95 % CI: 1.30, 8.12) and high-exposure groups (adjusted RR = 2.90: 95 % CI: 1.15, 7.31) were related to a significantly increased risk of GDM in pregnant women carrying female fetuses only when compared to the low-exposure group. A reverse U-shaped nonlinear association was found between 4-n-octylphenol (4-N-OP) and 4-n-nonylphenol (4-N-NP) concentrations and GDM risk, and it was more susceptible in pregnant women carrying female fetuses. The Qgcomp and BKMR models showed that exposure to APs mixtures was correlated with an elevated risk of GDM in pregnant women carrying female fetuses (adjusted OR = 1.90: 95 % CI: 1.07, 3.38). Exposure to APs during early pregnancy may have potential fetal sex-specific effects on the risk of GDM, with pregnant women carrying female fetuses being more susceptible.

Associations of maternal serum ferritin levels across gestation with gestational diabetes mellitus: A longitudinal cohort study.

The longitudinal changes in maternal serum ferritin (SF) levels across gestation, which indirectly reflect iron supplementation, have not been extensively investigated in relation to gestational diabetes mellitus (GDM). We conducted a retrospective cohort study at a tertiary maternal hospital in Shanghai. Women with SF concentration measurements at 8.0-13.6 weeks' gestation (GW), 29.0-31.6 GW, and an oral glucose tolerance test (OGTT) at 24-28 GW were included. We utilized logistic regression analysis to assess GDM association with maternal SF levels and longitudinal changes. The study included 17 560 women, with 2160 (12.3%) participants diagnosed with GDM. Adjusted odds ratios (ORs) (95% confidence intervals [CIs]) for GDM across increasing quartiles of SF concentrations at 8.0-13.6 GW were 1.00 (reference), 1.139 (95% CI: 1.012-1.283), 1.093 (95% CI: 0.969-1.233), and 1.248 (95% CI: 1.111-1.403). Similarly, at 29.0-31.6 GW, increasing quartiles of SF concentrations were associated with higher adjusted ORs for GDM: 1.00 (reference), 1.165 (95% CI: 1.029-1.320), 1.335 (95% CI: 1.184-1.505), and 1.428 (95% CI: 1.268-1.607). Pregnant women with higher SF levels (upper 25th percentile) at 8.0-13.6 GW had a reduced GDM risk if their SF levels decreased to the lower 25th percentile at 29.0-31.6 GW. Conversely, the subgroup with higher SF levels (upper 25th percentile) at both time points had the highest incidence rate of GDM (15.3%, 1.235 [95% CI: 1.087-1.404]). Maternal SF levels independently and positively associated with GDM risk during early and late gestational stages. Considering the increased GDM risk, routine iron supplementation for iron-replete women is questionable.

Examining childhood and adulthood stressors as risk factors for gestational diabetes mellitus in working pregnant individuals: A prospective cohort study

AimsThis 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). MethodsWorking 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. ResultsChildhood 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). ConclusionAmong 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.

Gestational Diabetes Mellitus and Subsequent Risks of Diabetes and Cardiovascular Diseases: the Life Course Perspective and Implications of Racial Disparities.

Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications worldwide and the prevalence is continuously rising globally. Importantly, GDM is not an isolated complication of pregnancy. Growing evidence suggests that individuals with GDM, compared to those without GDM, have an increased risk of subsequent type 2 diabetes (T2D) and cardiovascular diseases (CVD). Substantial racial and ethnic disparities exist in the risk of GDM. However, the role of race and ethnicity in the progression from GDM to T2D and CVD remains unclear. The purpose of the current review is to summarize recent research about GDM and its life-course impacts on cardiometabolic health, including 1) the peak time of developing T2D and CVD risks after GDM, 2) the racial and ethnic disparities in the risk cardiometabolic diseases after GDM, 3) the biological plausibility and underlying mechanisms, and 4) recommendations for screening and prevention of cardiometabolic diseases among individuals with GDM, collectively to provide an updated review to guide future research. Growing evidence has indicated that individuals with GDM had greater risks of T2D (7.4 to 9.6 times), hypertension (78% higher), and CDV events (74% higher) after GDM than their non-GDM counterparts. More recently, a few studies also suggested that GDM could slightly increase the risk of mortality. Available evidence suggests that key CVD risk factors such as blood pressure, plasma glucose, and lipids levels are all elevated as early as < 1year postpartum in individuals with GDM. The risk of T2D and hypertension is likely to reach a peak between 3-6years after the index pregnancy with GDM compared to normal glycemia pregnancy. Cumulative evidence also suggests that the risk of cardiometabolic diseases including T2D, hypertension, and CVD events after GDM varies by race and ethnicity. However, whether the risk is higher in certain racial and ethnic groups and whether the pattern may vary by the postpartum cardiometabolic outcome of interest remain unclear. The underlying mechanisms linking GDM and subsequent T2D and CVD are complex, often involving multiple pathways and their interactions, with the specific mechanisms varying by individuals of different racial and ethnic backgrounds. Diabetes and CVD risk screening among individuals with GDM should be initiated early during postpartum and continue, if possible, frequently. Unfortunately, adherence to postpartum glucose testing with either obstetrician or primary care providers remained poor among individuals with GDM. A life-course perspective may provide critical information to address clinical and public health gaps in postpartum screening and interventions for preventing T2D and CVD risks in individuals with GDM. Future research investigating the racial- and ethnic-specific risk of progression from GDM to cardiometabolic diseases and the role of multi-domain factors including lifestyle, biological, and socio-contextual factors are warranted to inform tailored and culture-appropriate interventions for high-risk subpopulations. Further, examining the barriers to postpartum glucose testing among individuals with GDM is crucial for the effective prevention of cardiometabolic diseases and for enhancing life-long health.

Glycated albumin in pregnancy correlates negatively with body mass index and contributes to the risk of gestational diabetes mellitus

ObjectivesThe aims of our study were to establish a reference interval for glycated albumin (GA) in gestational week 30, to investigate whether GA can replace or reduce the need for oral glucose tolerance test (OGTT) in pregnancy, and to reassess the usefulness of body mass-index (BMI), age and fasting glucose in detection of gestational diabetes (GDM). Designand methods: We measured GA in 486 healthy pregnant women. Reference interval was calculated using the central 95% of the results. ROC curves were created to assess the ability of GA, fasting glucose and BMI separately to detect GDM, and logistic regression analysis was used to estimate risk of developing GDM given the level of the same markers. Finally, multiple logistic regression analysis based on GA, fasting glucose and BMI was used to find a strategy of predicting a patient’s risk of GDM. ResultsThe reference interval for GA at week 30 of gestation is 6.8-10.3%. The analysis has a low AUC (0.53) with respect to detecting GDM. It increases slightly to 0.64 when corrected for BMI, as GA is inversely correlated to BMI. Combining GA with fasting glucose and BMI at gestational weeks 16-20 could raise the AUC to 0.80. ConclusionGA cannot be recommended to replace OGTT for the diagnosis of GDM. Nor can it be used to identify women at risk of developing GDM. GA combined with fasting glucose and BMI in early pregnancy could be a useful model to estimate risk of GDM.

Prevalence and risk factors for gestational diabetes in Jambi, Indonesia

The most common time for gestational diabetes mellitus (GDM), which affects anywhere from 1% to 40% of pregnant women, is between the 24th and 28th week of pregnancy. One of the provinces in Indonesia, Jambi, was the focus of this study, which aimed to characterize the incidence and risk factors of GDM. One hundred twenty-two women without GDM and twelve women with GDM participated in this case control research. Oral glucose tolerance tests were used to diagnose gestational diabetes mellitus (GDM) in women who were assessed between 24 and 28 weeks of gestation. Data Collection in this research used questionnaire about woman’s social demographics, history GDM, parity, family support, and social support. Multivariate analysis is used to measure the relationship between variables. The results of the study showed a huigh prevalence of GDM of 37,6%. The identified risk factors were hypertension (OR=2,121;CI95%=1,405-3,203), family history of DM (OR=1,610;CI95%=1,333-1,946),BMI&gt;30 kg/m2(OR=1,465;CI95%=1,243-1,727) and history of GDM previous pregnancy (OR=2,857;CI95%=0,839-9,727). We conclude that a GDM risk factor score is required so that health services can utilize these indicators as gold standards for screening GDM, due to the large heterogeneity in GDM risk factors.

Treatment of Early Gestational Glucose Intolerance

Aim: This study aims to find out the risk of gestational diabetes mellitus (GDM) in the first trimester at 8 weeks based on the 2-hour postprandial blood glucose (2hr PPBG) levels. It also aims to assess the risk of GDM with intervention using Metformin. Methodology: This study was carried out in two centres with 182 pregnant women in Group A, 100 in Group B, and 69 in Group C. The participants were screened at 8-10 weeks, and DIPSI tests were performed to check for GDM development. Results: In Group A, when the 2hr PPBG was less than 110 mg/dl, only 4% and 1.2% of participants developed GDM in Study 1 and Study 2, respectively. For Group B, 95.9% of the participants developed GDM with 2-hour postprandial blood sugar of ≥110 mg/dl and no intervention. However, in Group C with intervention using Metformin, only 1.4% of the women developed GDM. Key Words: EGGI; GDM; PPBG; DIPSI Diabetes mellitus is a rapidly evolving pandemic and a significant public health problem in recent decades [1]. It affects millions of people worldwide, significantly impacting the quality of their lives. Efforts are underway globally to detect diabetes in its early stages and prevent its complications [2].

The Impact of Macronutrient and Dietary Patterns on Gestational Diabetes Mellitus

Pregnancy is a physiological condition that increases insulin resistance (IR) due to hormonal changes, including elevated levels of estrogen, progesterone, and human placental lactogen (HPL). Such IR, especially in the later stages of pregnancy, can cause gestational diabetes mellitus (GDM), characterized by glucose intolerance first detected during pregnancy. GDM poses significant health risks for both the mother and the fetus, including the potential for pre-eclampsia, emergency C-sections, and type 2 diabetes (T2D) for the mother, as well as preterm birth, hypoglycemia, and being large for gestational age (LGA) for the baby. Proper dietary modifications can help regulate blood sugar levels, improve insulin sensitivity, and ensure healthy gestational weight gain (GWG), thereby reducing the possibility of undesirable outcomes. This paper discusses the role of energy, carbohydrate, fat, and protein, and compares the effects of the Mediterranean diet (MD) and Western diet (WD) on the risk of GDM. The main objective of this paper is to identify the most effective dietary strategies for preventing and managing GDM. The finding indicates that a MD rich in nutrient-dense foods, complex carbohydrates/lower GI, unsaturated fatty acids (FAs), and balanced protein has beneficial effects on GDM. In contrast, the WD with empty calories, simple carbohydrates/higher glycemic index (GI), saturated FAs (SFA), and animal-based protein increases the risk of GDM. Future studies should continue to explore the long-term effects of dietary interventions, integrate other lifestyle factors, and consider genetic differences to provide comprehensive management strategies for GDM.

Association Between TCF7L2 Gene Polymorphism (rs34872471) and Increased Risk of Gestational Diabetes Mellitus in Samples of Iraqi Women

Association Between TCF7L2 Gene Polymorphism (rs34872471) and Increased Risk of Gestational Diabetes Mellitus in Samples of Iraqi Women

Uncovering the silent epidemic: Insulin resistance and some associated risk factors among pregnant women with gestational diabetes mellitus (GDM) in a low resource setting

The present study sought to identify insulin resistance and related risk factors in pregnant women with gestational diabetes mellitus (GDM). One hundred and eighty-one pregnant women (34 with GDM and 147 without GDM) participated in the study. GDM screening involved a 75g OGTT test, while a structured questionnaire was used to gather socio-demographics data, and HOMA IR was used to assess insulin resistance. The study identified a 19.2% prevalence of GDM. Multiple regression analysis revealed that the studied risk factors accounted for 94% of GDM development. Additionally, the ROC curve demonstrated the wealth index as a significant factor for GDM development. The study found a high prevalence of GDM among pregnant women in low-resource settings, highlighting the need for targeted interventions to address the elevated occurrence. Socioeconomic factors such as low income and education were found to increase the risk of GDM

Nonlinear association between alanine aminotransferase to high-density lipoprotein cholesterol ratio and risk of gestational diabetes mellitus

Previous studies have indicated a potential association between the alanine aminotransferase to high-density lipoprotein cholesterol (ALT/HDL-C) ratio and the risk of Type 2 Diabetes Mellitus, but its relation with gestational diabetes mellitus (GDM) remains uncertain. This study aims to investigate the correlation between the ALT/HDL-C ratio in early pregnancy and the risk of GDM. This study is a secondary analysis based on an open-source cohort study. A total of 590 single pregnant women attending two hospitals in Korea up to 14 weeks gestation were included between November 2014 and July 2016. Logistic regression analysis, subgroup analysis, and smooth curve fitting were employed to explore the association between the ALT/HDL-C ratio and GDM risk. The predictive capability of the ALT/HDL-C ratio for GDM was assessed using ROC curve analysis. The average age of participants was 32.06 ± 3.80 years, with a GDM incidence rate of 6.27%. Multifactorial logistic regression analysis revealed that the serum ALT/HDL-C ratio is an independent influencing factor for GDM (OR = 1.08, 95% CI: 1.02–1.16). Furthermore, a non-linear relationship between the ALT/HDL-C ratio and GDM risk was observed, with a turning point at 5.51. The effect size (OR) on the left and right sides of the turning point were 0.75 (95% CI: 0.37–1.59) and 1.55 (95% CI: 1.18-2.00), respectively. Additionally, when combined with age, pre-pregnancy body mass index, parity, and insulin resistance index in a prediction model for GDM, the ALT/HDL-C ratio demonstrated improved sensitivity of prediction by reaching up to 67.6%, specificity of prediction by reaching up to 87.3%, and an area under curve value of 0.819 (95%CI: 0.743–0.894). In early pregnancy, the serum ALT/HDL-C ratio shows a positive correlation with maternal risk in a nonlinear manner. The combination of ALT/HDL-C ratio with maternal characteristics and metabolic indicators provides good predictive value for GDM. This study may facilitate optimization of GDM prevention in pregnant women and enable timely and effective intervention to enhance their prognosis.

Choline and betaine intakes during pregnancy in relation to risk of gestational diabetes mellitus among Chinese women.

Previous animal studies found beneficial effects of choline and betaine on maternal glucose metabolism during pregnancy, but few human studies explored theassociation between choline or betaine intake and incident gestational diabetes mellitus (GDM). We aimed to explore thecorrelation of dietary choline or betaine intake with GDM risk among Chinese pregnant women. A total of 168 pregnant women with GDM cases and 375 healthy controls were enrolled at the Seventh People's Hospital in Shanghai during their GDM screening at 24-28 gestational weeks. A validated semi-quantitative FFQ was used to estimate choline and betaine consumption through face-to-face interviews. An unconditional logistic regression model was adopted to examine OR and 95 % CI. Compared with the controls, those women with GDM incidence were likely to have higher pre-pregnancy BMI, be older, have more parities and have higher plasma TAG and lower plasma HDL-cholesterol. No significant correlation was observed between the consumption of choline or betaine and incident GDM (adjusted OR (95 % CI), 0·77 (0·41, 1·43) for choline; 0·80 (0·42, 1·52) for betaine). However, there was a significant interaction between betaine intake and parity on therisk of GDM (Pfor interaction = 0·01). Among those women with no parity history, there was a significantly inverse correlation between betaine intake and GDM risk (adjusted OR (95 % CI), 0·25 (0·06, 0·81)). These findings indicated that higher dietary betaine intake during pregnancy might be considered a protective factor for GDM among Chinese women with no parity history.