Risk factors associated with gestational diabetes mellitus: The role of pregnancy-induced hypertension and physical inactivity

Prevalence and factors associated with gestational diabetes mellitus in Malaysia: a population-based study comparing 2016 and 2022

BACKGROUND

Gestational diabetes mellitus (GDM) poses substantial health risks to both mothers and infants. Malaysia exhibits a heightened prevalence of GDM.

OBJECTIVE

This study aims to examine the changes in the prevalence of GDM between 2016 and 2022 and its determining factors.

METHODS

The data analysed in this study were derived from the National Health and Morbidity Survey (NHMS) 2016 and 2022, a nationwide study employing a two-stage stratified random sampling design in Malaysia. Changes in the prevalence were compared between data from NHMS 2016 and 2022, while factors were evaluated based on data from NHMS 2022. Descriptive statistics and multiple logistic regression analyses were performed using IBM SPSS version 27.

RESULTS

The prevalence of GDM increased from 12.5% in 2016 to 27.1% in 2022. In both years, the prevalence was highest among those aged 44-49 years, those of Indian ethnicity, those in higher income groups and those with higher education levels. Advanced maternal age, high body mass index (BMI) and hypertension were associated with a greater risk of GDM.

CONCLUSION

The prevalence of GDM among the Malaysian population doubled from 2016 to 2022. The findings underscore the importance of implementing targeted programs for expectant mothers in high-risk groups to mitigate the incidence of GDM and its associated morbidities.

Effects of Sedentary Behavior on the Complications Experienced by Pregnant Women: A Systematic Review

Pregnant women are encouraged to reduce sitting time and replace it with physical activity. Complications arising during pregnancy include gestational hypertension, preeclampsia, gestational diabetes mellitus (GDM), and prenatal and postpartum depression. In this systematic review, we examined effects of sedentary behavior on the health of pregnant women. We conducted a systematic review with PubMed from year 2000 to identify the relationship between a sedentary lifestyle and psychological effects, occurrence of GDM, gestational hypertension, and preeclampsia. Data extracted included sedentary time of pregnant women, psychological effects, occurrence of GDM, gestational hypertension, and preeclampsia as outcomes. Among the 200 studies retrieved, 11 were finally included after screening. The mean age of eligible pregnant women ranged from 28.5 to 32.9 years. Five studies were extracted with outcomes of psychological effects on the mother, five with GDM, and one with gestational hypertension/preeclampsia. Longer sedentary time was associated with increased risks of prepartum/postpartum depression in three of five studies and GDM in three of five studies. No association was found between sedentary behavior and the risk for gestational hypertension/preeclampsia. Higher sedentary behavior in the second trimester of pregnancy was likely to be associated with postpartum depression. Longer sitting time may increase the risk of prenatal or postnatal depression and GDM, but no relationship was proven for gestational hypertension and preeclampsia in one study. High sedentary behavior in the second trimester may have psychological impacts. The number of studies was small and further research is needed to statistically evaluate impacts of sedentary behavior during pregnancy.

Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm

OBJECTIVE

To develop the extreme gradient boosting (XG Boost) machine learning (ML) model for predicting gestational diabetes mellitus (GDM) compared with a model using the traditional logistic regression (LR) method.

METHODS

A case-control study was carried out among pregnant women, who were assigned to either the training set (these women were recruited from August 2019 to November 2019) or the testing set (these women were recruited in August 2020). We applied the XG Boost ML model approach to identify the best set of predictors out of a set of 33 variables. The performance of the prediction model was determined by using the area under the receiver operating characteristic (ROC) curve (AUC) to assess discrimination, and the Hosmer-Lemeshow (HL) test and calibration plots to assess calibration. Decision curve analysis (DCA) was introduced to evaluate the clinical use of each of the models.

RESULTS

A total of 735 and 190 pregnant women were included in the training and testing sets, respectively. The XG Boost ML model, which included 20 predictors, resulted in an AUC of 0.946 and yielded a predictive accuracy of 0.875, whereas the model using a traditional LR included four predictors and presented an AUC of 0.752 and yielded a predictive accuracy of 0.786. The HL test and calibration plots show that the two models have good calibration. DCA indicated that treating only those women whom the XG Boost ML model predicts are at risk of GDM confers a net benefit compared with treating all women or treating none.

CONCLUSIONS

The established model using XG Boost ML showed better predictive ability than the traditional LR model in terms of discrimination. The calibration performance of both models was good.

What is an appropriate gestational weight gain for women with gestational diabetes mellitus: based on the adverse pregnancy outcomes of over 12 thousand participants?

BACKGROUND

Evidence showed possible benefits of a less gestational weight gain (GWG) than the US Institute of Medicine (IOM) recommendation in gestational diabetes mellitus (GDM) pregnancy. Here, we aimed to explore an appropriate GWG range in GDM women according to adverse pregnancy outcomes.

METHODS

We enrolled all the singleton GDM pregnant women (n = 14,213) from January 2015 to December 2018 in Xi'an, Northwest China. According to the pre-pregnancy body mass index (BMI), they were classified into the Underweight (< 18.5 kg/m²), Normal weight (18.5-24.9 kg/m²⁾, Overweight (25.0-29.9 kg/m²) and Obesity (≥ 30.0 kg/m²) group, respectively. Logistic regression analysis was used to calculate the odds ratio (OR) and 95% confidence intervals (95% CI). The appropriate ranges of GWG were determined based on a significant protective association (OR < 1).

RESULTS

Totally, 12,712 participants were finally recruited. There were 1180 (9.3%), 9134 (71.9%), 2097 (16.5%), and 301 (2.4%) patients in the Underweight, Normal weight, Overweight, and Obesity groups, respectively. Adverse outcomes increased with the elevation of pre-pregnancy BMI. Among them, the risk of cesarean section was the highest, followed by large for gestational age (LGA), small for gestational age (SGA), preeclampsia, and gestational hypertension. Through the analysis of the risk of adverse outcomes in continuous GWG categories in each group, an ideal GWG range obtained in this study was as follows: 10-15.9 kg, 8-11.9 kg, 6-7.9 kg, and -5-3.9 kg for the Underweight, Normal weight, Overweight and Obesity group, respectively. Furthermore, the ranges in this study were more protective for adverse outcomes than those from IOM.

CONCLUSIONS

Based on the adverse pregnancy outcomes of over 12 thousand participants, our findings showed a more stringent GWG range for GDM women than the IOM criteria recommendation.

Level of Physical Activity in Pregnant Populations from Different Geographic Regions: A Systematic Review

The aim of this study was to examine the level of physical activity during pregnancy in different populations worldwide. An intensive search was carried out from February until May 2021. The inclusion criteria were original studies of healthy pregnant women, and the main study variable was the assessment of physical activity. A total of 110 out of 1451 studies were assessed for inclusion, using the Newcastle–Ottawa Scale for quality, and for the risk of bias. The 44 analyzed articles were divided into 5 tables according to the characteristics of the intervention and the validated instrument used to measure physical activity (PA). A total of 59.09% of the studies indicated that participants had a low level of physical activity during pregnancy. In addition, the median quality score of the studies was 7.12, and 77.27% of the studies were cataloged as having a high-quality score. Although international guidelines recommend that women without a contraindication engage in prenatal physical activity, the results of the present study show that the level of PA is too low for women to achieve scientifically proven maternal-fetal benefits. Failure to achieve the recommended levels of weekly physical activity could pose significant risks to maternal well-being.

Study of serum miR-518 and its correlation with inflammatory factors in patients with gestational diabetes mellitus complicated with hypertensive disorder complicating pregnancy

OBJECTIVE

Gestational diabetes mellitus (GDM) and hypertensive disorder complicating pregnancy (HDCP) are common complications during pregnancy. This study estimated the correlation of serum miR-518 and inflammatory factors in GDM complicated with HDCP patients (GDM&HDCP).

METHODS

Total 240 pregnant women were enrolled, including 118 cases with GDM alone, 57 cases with GDM&HDCP, and 65 healthy pregnant women. The expressions of serum miR-518 and PPARα were detected by RT-qPCR. The clinical diagnostic efficacy of miR-518 for GDM and GDM&HDCP was analyzed via ROC curve. Pearson coefficient was used to analyze the correlation between miR-518 and serum inflammatory factors (hs-CRP, IL-6, and TNF-α), and the relevance between peroxisome proliferator-activated receptor α (PPARα) and serum inflammatory factors. The targeted binding of miR-518 and PPARα was verified using dual-luciferase assay.

RESULTS

Serum miR-518 was highly-expressed in GDM and GDM&HDCP patients, but far higher in GDM&HDCP patients. Serum miR-518 level > 1.815 could assist the diagnosis of GDM (81.53% sensitivity and 100% specificity). Serum miR-518 expression was positively-correlated with serum inflammatory factors. miR-518 targeted PPARα and PPARα was lowly-expressed in the serum of GDM and GDM&HDCP patients. PPARα was negatively-linked with serum inflammatory factors.

CONCLUSION

High expression of miR-518 assists the diagnosis of GDM and GDM&HDCP, and miR-518 regulates the serum inflammatory factors by inhibiting PPARα.

Pregnancy-Related Diseases and Delivery Mode can Affect the Content of Human Milk Oligosaccharides: A Preliminary Study

Human milk oligosaccharides (HMOs) are the second most abundant carbohydrates in colostrum. In this study, we performed a quantitative analysis of 13 oligosaccharides in 99 colostrum samples obtained from mothers living in Northwest China. The analysis combined liquid chromatography-mass spectrometry (LC-MS) with 2-amino-N-(2-aminoethyl)benzamide (AEAB) labeling and nonsecretors accounted for 17%. Compared with healthy secretor mothers, those with gestational diabetes mellitus presented lower levels of sialylated oligosaccharides, especially 3'-sialyllactose. Colostrum from mothers with pregnancy-induced hypertension had higher levels of fucosylated oligosaccharides, but the difference was not significant, and hypothyroidism appeared to have no effect on HMOs. Most HMOs (especially 6'-sialyllactose) were more abundant in colostrum from mothers who underwent vaginal delivery than a C-section. These findings show that the concentration of total or individual HMOs is affected by multiple factors. These findings provide a reference for evaluating variations in HMO expression among different populations and potential guidance for providing personalized clinical nutrition.

Physical inactivity in early pregnancy and the determinants in an urban city setting of Kuala Lumpur, Malaysia

BACKGROUND

Physical inactivity in pregnancy has been associated with excessive gestational weight gain, hypertensive disorders, gestational diabetes mellitus and postpartum depression. Despite these risks, physical inactivity level remains high especially in higher income countries. The prevalence of physical inactivity among women in Malaysia aged ≥16 years was 28.2% in 2019 exceeding men by 6.1%. However, little is known regarding the subpopulation of pregnant women especially in Kuala Lumpur which is the most urbanized and highly populated city in Malaysia. Therefore, the aim of this study is to measure the physical inactivity prevalence among first trimester pregnant women in Kuala Lumpur and to identify its determining factors.

METHODS

This was a cross-sectional study in which 339 first trimester pregnant women were sampled from 13 maternal and child health clinics located in all four parliament districts of Kuala Lumpur. Self-administered questionnaires which contained the Malay version of the pregnancy physical activity questionnaire (PPAQ) were used. Descriptive analysis was conducted to determine the physical inactivity prevalence followed by simple and multiple logistic regression to identify the determinants of physical inactivity with significant level of 5%.

RESULTS

The prevalence of physical inactivity was 38.3%. The highest activity was seen in the household activity domain, despite only 24.8% of the respondents were housewives/unemployed. There was little to no participation observed in the vigorous intensity category. The determinants of physical inactivity were primigravida (aOR 3.54 95% CI 1.40, 8.97), education level (aOR 3.77 95% CI 1.35, 10.52) and body mass index (aOR 0.88 95% CI 0.80, 0.97) which explained 22.6% variation of physical inactivity in the final adjusted model.

CONCLUSION

The prevalence of physical inactivity among first trimester pregnant mothers in this study was 38.3%, and the highest activity was seen in the household category. Health education on physical activity in pregnancy should be focused on those who are primigravida and have no tertiary education. The educational content should be updated and tailored to current pandemic situation where self-isolation is the new norm, by advocating for home-based, moderate to vigorous intensity physical activities.

Differential gene expression and network-based analyses of the placental transcriptome reveal distinct potential biomarkers for gestationaldiabetes mellitus

AIMS

Gestational diabetes mellitus (GDM) is a common complication during pregnancy affecting the mother and fetus. With the problems encountered with the oral glucose tolerance test (OGTT), we aim to identify potential early biomarkers of GDM.

METHODS

A cross-sectional study was conducted among 80 pregnant women. Blood samples were collected every trimester, and total RNA was isolated. After quality control and library preparation, next-generation sequencing was performed. Differential expression analysis was done. Enriched Gene Ontology: Biological Processes (GO: BP) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified. Gene co-expression networks were constructed. Protein-protein Interaction (PPI) networks were then built from modules significantly correlated with Hemoglobin A1c. Genes with the highest degree of interaction were identified as hub genes.

RESULTS

IGKV2D-28 and PTPRG were consistently differentially expressed among the three comparisons. Top enriched GO: BP terms and KEGG pathways are linked to immune responses. Orange (r = 0.59, p = 0.02) and purple modules (r = 0.41, p = 0.02) of the GDM cohorts in the first and second trimesters, respectively, significantly correlated with Hemoglobin A1c. HDAC8 of the orange module and MPO and CRISP3 of the purple module were identified as hub genes.

CONCLUSIONS

In this study, potential biomarkers of GDM were identified, namely, IGKV2D-28, PTPRG, HDAC8, MPO, and CRISP3.

Association of thyroid disorders with gestational diabetes mellitus: a meta-analysis

PURPOSE

The current meta-analysis aimed to evaluate the association of thyroid dysfunction and autoimmunity with gestational diabetes mellitus (GDM).

METHODS

A comprehensive search from PubMed, Embase, MEDLINE, and Cochrane databases until November 2020 was conducted. Fixed-effect model was used to combine the results when I² was <50%. Random-effect model was used to summarize the results when I² was >50%.

RESULTS

A total of 44 studies were included in the meta-analysis. Low FT4 levels were closely related with GDM in the first and second trimesters of gestation. Hypothyroxinemia (OR: 1.45; 95% CI: 1.25, 1.68; P < 0.00001), overt (OR: 1.80; 95% CI: 1.73, 1.86; P < 0.00001), and subclinical (OR: 1.54; 95% CI: 1.03, 2.30; P = 0.03) hypothyroidism, overt hyperthyroidism (OR: 1.49; 95% CI: 1.09, 2.04; P = 0.01), and positive thyroid antibodies (OR: 1.49; 95% CI: 1.07, 2.07; P < 0.00001) were observed significantly associated with the risk of GDM. Pregnant women with subclinical hyperthyroidism were less likely to develop GDM (OR: 0.62; 95% CI: 0.39, 0.97; P = 0.04).

CONCLUSIONS

Thyroid dysfunction and positive thyroid antibodies were associated with the risk of GDM. Our findings suggest that pregnant women with these thyroid diseases may be offered screening for GDM comprehensively.

Prevalence of hypertension in pregnancy and its associated factors among women attending antenatal clinics in Bengaluru

BACKGROUND

Hypertension in pregnancy is a major challenge in antenatal practice due to its impact on obstetric and foetal outcomes.

OBJECTIVE

To assess the prevalence of hypertension during pregnancy and its associated risk factors among pregnant women availing of antenatal care at public sector hospitals in Bengaluru, Southern India.

METHODS

The sample frame included pregnant women who were attending the antenatal clinic at three public sector hospitals. The data were analyzed for 783 pregnant women who had completed their baseline visit over a period of 18 months (September 2017 to March 2019). The blood pressure was categorized based on the American College of Cardiology/American Heart Association 2017 guidelines.

RESULTS

Out of the 783 respondents who were examined, 13.9% were found to be hypertensive. The adjusted Odd's ratio was significantly higher for those who were employed outside the house and obese respondents. Other factors such as higher maternal age, lower socioeconomic status, pregnancy-related anxiety, prenatal depression, nulliparity appeared to increase the risk.

CONCLUSION

Hypertension during pregnancy continues to be a matter of concern. Risk factor profiling of pregnant women is of utmost importance to identify those who may be likely to develop hypertensive disorders during pregnancy.