Association of free fatty acid in first trimester with the risk of gestational diabetes mellitus: a nested case-control study.

BACKGROUND: Accumulating evidence shows that free fatty acids (FFA) are associated with gestational diabetes mellitus (GDM). However, most of the studies focus on a few specific types of FFA, such as α-linolenic acid (C18:3n3) and Arachidonic acid (C20:4n6) or a total level of FFA. OBJECTIVE: This study aimed to test the association between a variety of FFAs during the first trimester and the risk of GDM. METHODS: The participants came from the Zhoushan Pregnant Women Cohort (ZWPC). A 1:2 nested case-control study was conducted: fifty mothers with GDM were matched with 100 mothers without GDM by age, pre-pregnancy body mass index (BMI), month of oral glucose tolerance test (OGTT) and parity. Thirty-seven FFAs (including 17 saturated fatty acids (SFA), 8 monounsaturated fatty acids (MUFA), 10 polyunsaturated fatty acids (PUFA) and 2 trans fatty acids (TFA)) in maternal plasma during the first trimester were tested by Gas Chromatography-Mass Spectrometry (GC-MS). Conditional logistic regression models were performed to assess the associations of FFA with the risk of GDM. RESULTS: Nine FFAs were respectively associated with an increased risk of GDM (P < 0.05), and four FFAs were respectively associated with a decreased risk of GDM (P < 0.05). SFA risk score was associated with a greater risk of GDM (OR = 1.34, 95% CI: 1.12-1.60), as well as UFA risk score (OR = 1.26, 95% CI: 1.11-1.44), MUFA risk score (OR = 1.70, 95%CI: 1.27-2.26), PUFA risk score (OR = 1.32, 95%CI: 1.09-1.59) and TFA risk score (OR = 2.51, 95%CI: 1.23-5.13). Moreover, joint effects between different types of FFA risk scores on GDM were detected. For instance, compared with those with low risk scores of SFA and UFA, women with high risk scores of SFA and UFA had the highest risk of GDM (OR = 8.53, 95%CI: 2.41-30.24), while the Odds ratio in those with a low risk score of SFA and high risk score of UFA and those with a high risk score of SFA and low risk score of UFA was 6.37 (95%CI:1.33- 30.53) and 4.25 (95%CI: 0.97-18.70), respectively. CONCLUSION: Maternal FFAs during the first trimester were positively associated with the risk of GDM. Additionally, there were joint effects between FFAs on GDM risk. CONDENSATION: Elevated FFA levels in the first trimester increased the risk of GDM.

Gestational diabetes mellitus prevalence in Brazil: a systematic review and meta-analysis.

This study estimates gestational diabetes mellitus prevalence in Brazil. A systematic review was conducted with articles published between 2010 and 2021 on the PubMed, Scopus, Google Scholar, SciELO, LILACS and Virtual Health Library databases, as well as gray literature. Data were extracted using a standardized instrument together with the risk of bias assessment tool proposed by Hoy et al. A meta-analysis with robust variance and random effects was developed. Heterogeneity was verified using I2 and publication bias was assessed using funnel plot and Egger's test. Prevalence according to risk of bias, diagnostic criteria and country's regions was determined by subgroup analyses. A total of 32 studies were included, representing 21,942 women. gestational diabetes mellitus pooled prevalence was 14% (95%CI: 11.0; 16.0), considerably higher than estimates from previous studies. Regarding risk of bias, studies with low, medium, and high risk showed a pooled prevalence of 12%, 14% and 14%, respectively. Overall GRADE certainty of evidence rating was low. Most studies used the International Association of Diabetes in Pregnancy Study Group (IADPSG) criteria or the adapted IADPSG, showing a pooled prevalence of 15% and 14%, respectively. As for region, the pooled prevalence was higher in the Southeast (14%) and lower in the Central-West (9%). This is the first systematic review to provide evidence on gestational diabetes mellitus prevalence at a national level and to demonstrate considerable heterogeneity among articles and the influence of region, diagnostic criteria and study quality on the referred indicator.

First trimester maternal serum PAPP-A and free ß-hCG levels and risk of SGA or LGA in women with and without GDM.

BACKGROUND: Maternal gestational diabetes (GDM), small (SGA) and large (LGA) for gestational age neonates are associated with increased morbidity in both mother and child. We studied how different levels of first trimester pregnancy associated plasma protein-A (PAPP-A) and free beta human chorionic gonadotropin (fß-hCG) were associated with SGA and LGA in GDM pregnancies and controls. METHODS: Altogether 23 482 women with singleton pregnancies participated in first trimester combined screening and delivered between 2014 and 2018 in Northern Finland and were included in this retrospective case-control study. Women with GDM (n = 4697) and controls without GDM (n = 18 492) were divided into groups below 5th and 10th or above 90th and 95th percentile (pc) PAPP-A and fß-hCG MoM levels. SGA was defined as a birthweight more than two standard deviations (SD) below and LGA more than two SDs above the sex-specific and gestational age-specific reference mean. Odds ratios were adjusted (aOR) for maternal age, BMI, ethnicity, IVF/ICSI, parity and smoking. RESULTS: In pregnancies with GDM the proportion of SGA was 2.6% and LGA 4.5%, compared to 3.3% (p = 0.011) and 1.8% (p < 0.001) in the control group, respectively. In ≤ 5th and ≤ 10th pc PAPP-A groups, aORs for SGA were 2.7 (95% CI 1.5-4.7) and 2.2 (95% CI 1.4-3.5) in the GDM group and 3.8 (95% CI 3.0-4.9) and 2.8 (95% CI 2.3-3.5) in the reference group, respectively. When considering LGA, there was no difference in aORs in any high PAPP-A groups. In the low ≤ 5 percentile fß-hCG MoM group, aORs for SGA was 2.3 (95% CI 1.8-3.1) in the control group. In fß-hCG groups with GDM there was no association with SGA and the only significant difference was ≥ 90 percentile group, aOR 1.6 (95% CI 1.1-2.5) for LGA. CONCLUSION: Association with low PAPP-A and SGA seems to be present despite GDM status. High PAPP-A levels are not associated with increased LGA risk in women with or without GDM. Low fß-hCG levels are associated with SGA only in non-GDM pregnancies.

Association between sleep quality and duration during pregnancy and risk of gestational diabetes: A systematic review and meta-analysis.

OBJECTIVE: Gestational diabetes mellitus (GDM) is associated with several adverse maternal and neonatal outcomes. Previous studies reported a link between altered sleep and risk of GDM. This systematic review aims to collate evidence on the association between impaired sleep quality and duration, and the risk of GDM. METHODS: PubMed, Embase, Web of Science, and Scopus databases were searched up to January 20, 2024. Studies reporting the association between impaired sleep quality and duration and risk of GDM were included. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Random-effects meta-analysis was performed, and the results were reported as hazard ratio (HR) with 95% confidence interval (CI). RESULTS: 19 studies were included. Meta-analysis revealed a significant increase in the risk of GDM in pregnant women with poor sleep quality (i.e. <5 PSQI) (HR: 1.50, 95% CI: 1.26 - 1.78, p < .001). Sleep duration of <7 h (HR: 1.56, 95% CI.: 1.20 - 2.01, p < .001), and >8 h (HR: 2.32, 95% CI.: 1.19 - 4.50, p = .01) were also associated with a significantly higher incidence of GDM. CONCLUSION: Sleep quality and duration emerge as critical risk factors of GDM. Healthcare practitioners should consider targeted interventions to improve sleep hygiene as a potential measure for GDM prevention.

Association of adverse pregnancy outcomes with cardiovascular risk profiles in later life: Current insights from the Hamburg City Health Study (HCHS).

BACKGROUND AND AIMS: Adverse pregnancy outcomes (APO) have been related to increased cardiovascular (CV) risk and mortality in later life. Underlying pathomechanisms for the development of CV disease in these women are not yet fully understood. In this study, we aimed to investigate the relationship between APO and individual CV risk profiles in later life. METHODS: We used cross-sectional data from 10,000 participants enrolled in the Hamburg City Health Study (HCHS). We analysed self-reported APO, CV risk factors and health status, including biomarkers, electrocardiogram, echocardiography and vascular ultrasound. To examine associations, Wilcoxon rank sum test and Pearson's χ2-test were performed. Multivariable-adjusted regression models were calculated to determine associations. RESULTS: N = 1970 women who reported pregnancies were included. Median age was 63 years, 8.7 % reported gestational hypertension (gHTN), 18 % excessive weight gain and 2.4 % gestational diabetes. Ten percent had delivered newborns with birth weight <2.5 kg, 14 % newborns with birth weight >4 kg. In multivariable-adjusted models, significant associations between APO, CV risk profiles and cardiac remodeling were identified. gHTN correlated with higher body mass index (BMI) (Beta 1.68, CI 95 % 0.86-2.50; p < 0.001), hypertension (OR 4.58, CI 95 % 2.79-7.86; p < 0.001), left ventricular remodeling (e.g. left ventricular mass index (Beta 4.46, CI 95 % 1.05-7.87; p = 0.010)) and myocardial infarction (OR 3.27, CI 95 % 0.94-10.07; p = 0.046). CONCLUSIONS: In this population-based sample, APO were associated with CV risk profiles and cardiac remodeling in later life, suggesting early manifestations of future CV risk during pregnancy. Prospective data is needed for individual risk stratification in women with APO.

Risk cycling in diabetes and autism spectrum disorder: a bidirectional Mendelian randomization study.

Objective: The relationship between diabetes mellitus (DM) and autism spectrum disorder (ASD) remains controversial. This study aimed to analyze the causal relationship between different types of DM and ASD by bidirectional Mendelian randomization (MR). Methods: Single nucleotide polymorphisms for type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM), gestational diabetes mellitus (GDM), and ASD were obtained from genome-wide association studies. Subsequently, inverse variance weighted, MR-Egger, and weighted median were used to test the exposure-outcome causality. Finally, MR-Egger's intercept, Cochran's Q, and leave-one-out method were used to assess horizontal pleiotropy, heterogeneity, and sensitivity of the results, respectively. Results: The positive analysis showed that T2DM was associated with an increased risk of ASD, whereas neither T1DM nor GDM was associated with the risk of ASD. The reverse analysis showed that ASD was associated with an increased risk of T2DM, while it was not associated with the risk of either T1DM or GDM. MR-Egger intercept showed no horizontal pleiotropy (p > 0.05) for these results. Cochran's Q showed no heterogeneity expect for the results of T1DM on the risk of ASD, and leave-one-out sensitivity analysis showed these results were robust. Conclusion: This MR analysis suggests that T2DM and ASD are reciprocal risk factors and that they may create an intergenerational risk cycling in female patients. Aggressive prevention and treatment of T2DM and ASD help to break the trap of this risk cycling. Additionally, this study does not support a causal relationship between T1DM and ASD, as well as GDM and ASD. And more studies are needed in the future to continue to explore the interactions and underlying mechanisms between different types of DM and ASD.

The efficacy of interventions to prevent type 2 diabetes among women with recent gestational diabetes mellitus-A living systematic review and meta-analysis.

BACKGROUND: While previously considered a transient condition, with no lasting adverse impact, gestational diabetes mellitus (GDM) is now a well-established risk factor for developing type 2 diabetes mellitus (T2DM). The risk of developing T2DM appears to be particularly high in the first few years after childbirth, providing a compelling case for early intervention. This review provides an up-to-date systematic review and meta-analysis to assess the effectiveness of interventions to reduce incidence of T2DM in women with a recent history of GDM. METHODS: The search was conducted on October 20, 2023 with an annual surveillance planned for the next 5 years to maintain a living systematic review. The inclusion criteria were randomized controlled trials of any type in women within 5 years of GDM-complicated pregnancy that reported outcomes of T2DM diagnosis or measures of dysglycemia with a follow-up of at least 12 months. RESULTS: Seventeen studies met our inclusion criteria and have been included in this review. There were 3 pharmacological and 14 lifestyle interventions. Intervention was not associated with significant reduction in the primary outcome of T2DM (risk ratio, 0.78; 95% confidence interval [CI]: 0.43-1.41; p = 0.41; I2 = 79%) compared with the control group (placebo or usual care). However, meta-analysis of the four studies reporting hazard ratios suggested a reduction in diabetes incidence (hazard ratio, 0.68; 95% CI: 0.48-0.97; p = 0.03; I2 = 31%). CONCLUSION: This review provides equivocal evidence about the efficacy of interventions to reduce the risk of T2DM in women within 5 years of GDM-complicated pregnancy and highlights the need for further studies, including pharmacotherapy.

Associations of remnant cholesterol in early pregnancy with gestational diabetes mellitus risk: a prospective birth cohort study.

BACKGROUND: Remnant cholesterol (RC) reportedly contributes to the development of diabetes mellitus. However, evidence on the relationship between maternal RC and the risk of developing gestational diabetes mellitus (GDM) during pregnancy is limited. This study aimed to assess the relationship between maternal RC and GDM risk during early pregnancy, and explore the potential pathways involved in the relationship between RC levels and GDM risk. METHODS: From 2018 to 2021, a prospective birth cohort study was designed and carried out in China. The associations of maternal RC and other lipid parameters with GDM risk were estimated using logistic regression models and restricted cubic splines. Subgroup analyses were performed stratified by prepregnancy body mass index (pre-BMI), maternal age and gravidity. Mediation analyses were conducted to explore the mediating effect of some related factors on the relationship between RC levels and the risk of GDM. RESULTS: A total of 33,018 pregnant women were included. The median RC level was 0.47 ± 0.20 mmol/L. The prevalence of GDM was 15.19%. As RC quartiles increased, the incidence of GDM increased substantially, reaching 19.24% for the highest quartile of RC (P < 0.001). Maternal RC in the first trimester was positively correlated with GDM risk (OR: 2.254, 95% CI: 1.943-2.615). Compared to the lowest RC quartile, higher RC quartiles were correlated with an increased risk of GDM, and the ORs (95% CIs) for Q3 and Q4 were 1.208 (1.101-1.325) and 1.489 (1.364-1.626), respectively. Moreover, a linear dose-response relationship was found for this association (P for all < 0.001, P for nonlinearity > 0.05) and was consistent across subgroups with different pre-BMIs, maternal ages and gravidities (all P values for interactions > 0.05). Furthermore, the correlation between RC level and GDM risk was partially mediated by pre-BMI (9.20%) and blood glucose level (-11.1%). CONCLUSIONS: Higher maternal RC levels in the early stage of pregnancy was positively associated with an increased risk of developing GDM. This association was partially mediated by pre- BMI and blood glucose levels.

Association between mean platelet volume and the risk of type 2 diabetes mellitus among women with history of gestational diabetes mellitus.

AIMS: The present study aimed to investigate the relationship between mean platelet volume (MPV) and the risk of type 2 diabetes mellitus (T2DM), among women with and without a history of gestational diabetes mellitus (GDM). METHODS: Eight thousand one hundred eighty-one parous women of the '2007-2018 National Health and Nutrition Examination Survey (NHANES)' were classified into GDM and non-GDM groups based on self-reported GDM history. We investigated the independent association between the MPV and the risk of T2DM in these groups via multivariable regression analysis. A subgroup analysis was done for the GDM group. RESULTS: After comprehensive adjustment for potential covariates, a significant positive correlation was observed between MPV and the risk of T2DM in women with a history of GDM (OR = 1.50, 95% CI 1.13-2.01, P = 0.006). There was a linear relationship between MPV and T2DM among women with a history of GDM, with each unit increase in MPV increasing the risk of T2DM by 50%. Subgroup analysis and interaction tests revealed a stronger significant effect on women with GDM history who had HbA1c ≥ 7%. CONCLUSIONS: MPV is strongly associated with the incidence of T2DM among U.S. parous women with prior GDM, indicating that MPV may be a potential biomarker of T2DM among women with a history of GDM.

Uric acid and risk of gestational diabetes mellitus: an observational study and mendelian randomization analysis.

OBJECTIVE: Our aim was to explore the relationship between serum uric acid (UA) levels in early pregnancy and the development of gestational diabetes mellitus (GDM), and to further explore whether there is a causal relationship. METHODS: 684 pregnant women with GDM and 1162 pregnant women without GDM participated in this study. 311 pregnant women with GDM and 311 matched controls were enrolled in a 1:1 case-control study. We used conditional logistic regression to explore the relationship between UA levels and the risk of developing GDM. The causal relationship between the two was examined by two-sample Mendelian randomization (MR) analysis. RESULTS: In the 1:1 matched population, the odds ratio (OR) of developing GDM compared with the extreme tertiles of UA levels was 1.967 (95% confidence interval [CI]: 1.475-2.625; P < 0.001). Restricted cubic spline analyses showed a linear relationship between UA and GDM when UA exceeded 222 µmol/L. GDM and UA levels maintained a statistically significant positive correlation in different stratified regression analyses (P < 0.001). However, no evidence of a causal relationship between uric acid and GDM was found by MR analyses with an OR of 1.06 (95% CI: 0.91-1.25) per unit increase in UA. CONCLUSION: There is a positive correlation between UA levels in early pregnancy and the subsequent risk of developing GDM. However, no genetic evidence was found to support a cause-effect relationship between UA and GDM.

Risk factors for neonatal hypoglycemia: a meta-analysis.

OBJECTIVE: This Study aims to investigate the risk factors of hypoglycemia in neonates through meta-analysis. METHOD: PubMed, Embase, Cochrane library, and Web of science databases were searched for case-control studies on risk factors for neonatal hypoglycemia. The search was done up to 1st October 2023 and Stata 15.0 was used for data analysis. RESULTS: A total of 12 published studies were included, including 991 neonates in the hypoglycemic group and 4388 neonates in the non-hypoglycemic group. Meta-analysis results suggested caesarean section [OR = 1.90 95%CI (1.23, 2.92)], small gestational age[OR = 2.88, 95%CI (1.59, 5.20)], gestational diabetes [OR = 1.65, 95%CI (1.11, 2.46)], gestational hypertension[OR = 2,79, 95%CI (1.78, 4.35)] and respiratory distress syndrome[OR = 5.33, 95%CI (2.22, 12.84)] were risk factors for neonatal hypoglycemia. CONCLUSION: Based on the current study, we found that caesarean section, small gestational age, gestational diabetes, gestational hypertension, respiratory distress syndrome are risk factors for neonatal hypoglycemia. PROSPERO REGISTRATION NUMBER: CRD42023472974.

Association of Beverage Consumption during Pregnancy with Adverse Maternal and Offspring Outcomes.

BACKGROUND: As the global consumption of sugary and non-sugar sweetened beverages continues to rise, there is growing concern about their health impacts, particularly among pregnant women and their offspring. OBJECTIVE: This study aimed to investigate the consumption patterns of various beverages among pregnant women in Shanghai and their potential health impacts on both mothers and offspring. METHOD: We applied a multi-stage random sampling method to select participants from 16 districts in Shanghai. Each district was categorised into five zones. Two towns were randomly selected from each zone, and from each town, 30 pregnant women were randomly selected. Data were collected through face-to-face questionnaires. Follow-up data on births within a year after the survey were also obtained. RESULT: The consumption rates of total beverages (TB), sugar-sweetened beverages (SSB), and non-sugar sweetened beverages (NSS) were 73.2%, 72.8%, and 13.5%, respectively. Logistic regression analysis showed that compared to non-consumers, pregnant women consuming TB three times or less per week had a 38.4% increased risk of gestational diabetes mellitus (GDM) (OR = 1.384; 95% CI: 1.129-1.696) and a 64.2% increased risk of gestational hypertension (GH) (OR = 1.642; 95% CI: 1.129-2.389). Those consuming TB four or more times per week faced a 154.3% higher risk of GDM (OR = 2.543; 95% CI: 2.064-3.314) and a 169.3% increased risk of GH (OR = 2.693; 95% CI: 1.773-4.091). Similar results were observed in the analysis of SSB. Regarding offspring health, compared to non-consumers, TB consumption four or more times per week was associated with a substantial increase in the risk of macrosomia (OR = 2.143; 95% CI: 1.304-3.522) and large for gestational age (LGA) (OR = 1.695; 95% CI: 1.219-2.356). In the analysis of NSS, with a significantly increased risk of macrosomia (OR = 6.581; 95% CI:2.796-13.824) and LGA (OR = 7.554; 95% CI: 3.372-16.921). CONCLUSION: The high level of beverage consumption among pregnant women in Shanghai needs attention. Excessive consumption of beverages increases the risk of GDM and GH, while excessive consumption of NSS possibly has a greater impact on offspring macrosomia and LGA.

Common obesity-related anthropometric indices and the risk of gestational diabetes mellitus in a Chinese population: a prospective cohort study.

OBJECTIVE: Anthropometric measurement provides a simple, noninvasive approach to evaluate obesity in pregnant women. We aimed to develop a predictive model utilizing anthropometric index for gestational diabetes mellitus (GDM), the most common obesity-related complications during pregnancy. METHODS: A prospective cohort of 4709 women was enrolled in Qingdao, China. Logistic regression model was constructed to determine the association of body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT) in the first trimester (<14 weeks' gestation) with GDM. The discrimination ability for GDM was assessed using areas under the receiver operating characteristic (ROC) curve (AUC). Delong tests were performed to compare AUC values between different measures. RESULTS: The GDM incidence was 19.50%. GDM risk increased with VAT during early pregnancy, and the risk increased by 117% (OR = 2.17, 95% CI: 1.23-2.83) to 326% (OR = 4.26, 95% CI: 2.29-7.91) in pregnant women with the second quartile or above after adjusting for confounders (all p<.05). Combined index using VAT and BMI demonstrated superior predictive power for GDM compared with BMI alone (p<.05), but didn't differ from VAT (p>.05). Overall, VAT was positively correlated with GDM occurrence, outperforming BMI, WHR, WHtR and SAT in the predicative model. A first-trimester VAT cutoff of 27.05 mm might be promising for GDM risk stratification. CONCLUSIONS: First-trimester routine ultrasound screening may facilitate earlier identification and intervention of GDM. Pregnant women with VAT above the optimal threshold (27.05 mm) might benefit from targeted GDM monitoring.

Maternal modifiable factors and risk of congenital heart defects: systematic review and causality assessment.

OBJECTIVE: Primary prevention strategies are critical to reduce the global burden of congenital heart defects (CHDs); this requires robust knowledge of causal agents. We aimed to review associations between CHDs and maternal advanced age, obesity, diabetes, hypertension, smoking and alcohol consumption and assess the causal nature of the associations. DESIGN: Systematic review of reviews with application of a Bradford Hill criteria score-based causal assessment system. DATA SOURCES: We searched PubMed, Embase and Episteminokos (January 1990-April 2023). ELIGIBILITY CRITERIA: Systematic reviews of original epidemiological studies reporting association (relative risk) between one or more of the above maternal factors and CHDs overall (any type) in subsequent offspring. DATA EXTRACTION AND SYNTHESIS: Two independent reviewers selected eligible reviews, assessed the risk of bias and assigned the strength of evidence for causality. RESULTS: There was strong evidence of a causal relationship between CHDs and maternal obesity (prepregnancy and early pregnancy) and pre-existing diabetes (six of seven Bradford Hill criteria met). For pre-existing hypertension (strength and biological gradient not met), and advanced age (strength, consistency and biological gradient not met), causal evidence was moderate. Evidence for the causal contribution of gestational diabetes, gestational hypertension, smoking and alcohol consumption was weak (strength, consistency, temporality and biological gradient not met). CONCLUSIONS: CHDs can be reduced with stronger action to reduce maternal obesity and pre-existing diabetes prevalence. Investigating environmental exposures that have received limited attention, such as air pollutants and chemical exposures, is important to further inform prevention.

The association between dietary habits and self-care behavior of pregnant women with pregnancy complications.

Pregnancy as a sensitive period has a critical effect on the mother and infant's life. It is well understood that dietary habits and mother awareness can improve health status and prevent pregnancy complications such as gestational diabetes, pre-eclampsia, and nausea and vomiting. The current study was conducted to investigate the association between dietary habits and self-care behaviors with pregnancy complications. This cross-sectional study was conducted across 300 pregnant women in their third trimester referred to healthcare centers and Yas hospital in Tehran, Iran. Dietary habits and self-care behaviors were assessed by valid and reliable questionnaires. Dietary intake and physical activity were evaluated using valid and reliable Food Frequency Questionnaires and Pregnancy Physical Activity questionnaires, respectively. Women with self-care behaviors had a lower rate of pre-eclampsia (P = 0.9). Regarding food habits, pregnant women who ate their meals faster had a non-significantly higher rate of gestational diabetes and pre-eclampsia. Pregnant women who consumed red meat on a daily frequency had a significantly higher rate of nausea and vomiting (OR 1.85; 95% CI 1.05-3.28, P = 0.03). Also, there was a significant positive association between the mother's pre-pregnancy BMI and gestational diabetes and pre-eclampsia [(OR 2.03; 95% CI 1.03-3.98, P = 0.03) and (OR 4.23; 95% CI 1.12-16.0, P = 0.03) respectively]. There was no significant association between pregnant women's dietary habits and GDM and pre-eclampsia. However, pregnant women with pre-pregnancy overweight and obesity had increased odds of gestational diabetes and pre-eclampsia significantly.

The impact of PM2.5 and its constituents on gestational diabetes mellitus: a retrospective cohort study.

BACKGROUND: There is increasing evidence that exposure to PM2.5 and its constituents is associated with an increased risk of gestational diabetes mellitus (GDM), but studies on the relationship between exposure to PM2.5 constituents and the risk of GDM are still limited. METHODS: A total of 17,855 pregnant women in Guangzhou were recruited for this retrospective cohort study, and the time-varying average concentration method was used to estimate individual exposure to PM2.5 and its constituents during pregnancy. Logistic regression was used to assess the relationship between exposure to PM2.5 and its constituents and the risk of GDM, and the expected inflection point between exposure to PM2.5 and its constituents and the risk of GDM was estimated using logistic regression combined with restricted cubic spline curves. Stratified analyses and interaction tests were performed. RESULTS: After adjustment for confounders, exposure to PM2.5 and its constituents (NO3-, NH4+, and OM) was positively associated with the risk of GDM during pregnancy, especially when exposure to NO3- and NH4+ occurred in the first to second trimester, with each interquartile range increase the risk of GDM by 20.2% (95% CI: 1.118-1.293) and 18.2% (95% CI. 1.107-1.263), respectively. The lowest inflection points between PM2.5, SO42-, NO3-, NH4+, OM, and BC concentrations and GDM risk throughout the gestation period were 18.96, 5.80, 3.22, 2.67, 4.77 and 0.97 µg/m3, respectively. In the first trimester, an age interaction effect between exposure to SO42-, OM, and BC and the risk of GDM was observed. CONCLUSIONS: This study demonstrates a positive association between exposure to PM2.5 and its constituents and the risk of GDM. Specifically, exposure to NO3-, NH4+, and OM was particularly associated with an increased risk of GDM. The present study contributes to a better understanding of the effects of exposure to PM2.5 and its constituents on the risk of GDM.

Gestational diabetes mellitus and the hearing of newborns:A nested case-control study in tropical province of China.

OBJECTIVE: This study aims to determine the association of gestational diabetes mellitus (GDM) and the results of newborn hearing screening(NHS). METHODS: A nested case-control study was conducted in a cohort of newborns who were born between June 2021 to December 2021 and underwent neonatal hearing screening.GDM was diagnosed according to the 75 g 2 h oral glucose tolerance test (OGTT) at 24-28 gestational weeks.A total of 369 pregnant women at the same hospital were individually matched in a 1:2 ratio by maternal age (±2 years), gestational age (±3 days) and sex of newborn.Chi-square test was utilized to evaluate associations between GDM and the results of NHS. RESULTS: Abnormal NHS results in the GDM group was more frequent than non-GDM group.When comparing the two groups (GDM case and contol), we found significant differences (p < 0.05) between them.Whereas the difference was not statistically significant (p > 0.05) by delivery modes in both case and control groups. CONCLUSION: Maternal history of GDM could lead to significantly higher failling rate of NHS.

The association between the Helicobacter pylori infection and the occurrence of gestational diabetes: a systematic review and meta-analysis.

BACKGROUND: This meta-analysis aims to establish a more precise association between gestational diabetes mellitus (GDM) incidence and H. pylori infection by amalgamating findings from prior case-control and cohort studies. METHODS: To identify relevant studies, we conducted a comprehensive search using the Excerpta Medica Database (Embase), PubMed (Medline), Web of Science (ISI), and Scopus from January 1990 to November 2022. The screening process involved reviewing the entire text, abstracts, and titles of retrieved articles. Subsequently, data extraction was performed from the selected articles, and their quality was assessed using the Newcastle-Ottawa Scale checklist. Version 17 of STATA software was utilized for the analysis, with relative risks (RR) calculated along with their 95% confidence intervals (CI) to quantify the impact of the included studies. RESULTS: This meta-analysis included eight observational and analytical studies. The combined risk of gestational diabetes mellitus (GDM) in pregnant women with H. pylori infection was found to be 1.97 times higher compared to pregnant women without infection (RR: 1.97; 95% CI 1.57-2.47; I2 = 0.00%; P = 0.84). CONCLUSION: Pregnant women with H. pylori infection are at an increased risk of developing gestational diabetes.

Fasting or 2-hour postprandial plasma glycemic criteria for gestational diabetes mellitus are aassociated with distinct adverse outcomes.

OBJECTIVE: We aimed to evaluate the heterogeneity of gestational diabetes mellitus (GDM) patients diagnosed with various screening criteria. METHODS: We stratified pregnant women using consecutive fasting plasma glucose (FPG) and 2-hour postprandial plasma glucose (2hPPG) intervals of 0.2 mmol/L. The incidence of abnormal neonatal birthweight and birth-related adverse outcomes was compared with that of pregnant women without GDM. RESULTS: The study included 39,988 pregnant women (18-45 years, mean [SD], 31.5 [4.7] years) in Ningbo, China. The means (SDs) of FPG and 2hPPG within 24-28 weeks of gestation were 4.5 (0.5) and 6.8 (1.3) mmol/L, respectively. A total of 3025 (7.6%) women had 5.1-6.9 mmol/L FPG and 4560 (11.4%) had 8.5-11.0 mmol/L 2hPPG. The incidence of GDM according to the two combination criteria was 17.3% (6908 cases). The relative risk (RR) for < 10th percentile birthweight (< 10th WT) was 0.82 (95% CI, 0.74-0.91, p < 0.001) by 5.1 mmol/L FPG criterion and 1.14 (95% CI, 1.06-1.23, p < 0.001) by 8.5 mmol/L 2hPPG criterion, while the RRs for > 90th percentile birthweight (> 90th WT) were 1.48 (95% CI, 1.35-1.63, p < 0.001) and 0.95 (95% CI, 0.86-1.04, p = 0.29) according to the corresponding criteria. The FPG criterion was more strongly associated with maternal hypertension than the 2hPPG criterion. Both criteria did not show a distinct association with other composite adverse outcomes. CONCLUSION: High FPG is significantly associated with high birth weight, whereas high 2hPPG is slightly associated with low birth weight. Our findings highlight the heterogeneity of patients with GDM diagnosed by different criteria.

Gestational diabetes mellitus and development of intergenerational overall and subtypes of cardiovascular diseases: a systematic review and meta-analysis.

OBJECTIVE: We aimed to summarize the association between gestational diabetes mellitus (GDM) and its intergenerational cardiovascular diseases (CVDs) impacts in both mothers and offspring post-delivery in existing literature. METHODS: PubMed, Embase, Web of Science, and Scopus were utilized for searching publications between January 1980 and June 2024, with data extraction and meta-analysis continuing until 31 July 2024. Based on a predefined PROSPERO protocol, studies published as full-length, English-language journal articles that reported the presence of GDM during pregnancy and its association with any CVD development post-delivery were selected. All studies were evaluated using the Newcastle-Ottawa Scale. Maximally adjusted risk estimates were pooled using random-effects meta-analysis to assess the risk ratio (RR) of GDM, and overall and subtypes of CVDs in both mothers and offspring post-delivery. RESULTS: The meta-analysis was based on 38 studies with a total of 77,678,684 participants. The results showed a 46% increased risk (RR 1.46, 95% CI 1.34-1.59) for mothers and a 23% increased risk (1.23, 1.05-1.45) for offspring of developing overall CVDs after delivery, following a GDM-complicated pregnancy. Our subgroup analysis revealed that mothers with a history of GDM faced various risks (20% to 2-fold) of developing different subtypes of CVDs, including cerebrovascular disease, coronary artery disease, heart failure, and venous thromboembolism. CONCLUSIONS: These findings underscore the heightened risk of developing various CVDs for mothers and offspring affected by GDM, emphasizing the importance of preventive measures even right after birth to mitigate the burden of CVDs in these populations.