METHODS: Systematic review of literature on GDM in SEA countries was performed using the Ovid MEDLINE®, Scopus, and WPRIM databases between 1975 and 2020. All published studies on GDM conducted in or published by authors from any SEA country were included in our analysis. Bibliometric information was obtained from Scopus and bibliometrics diagrams were created using VOSviewer software.
RESULTS: A total of 322 articles were obtained in this study. The number of publications showed an upward trend starting 2011. The country with the greatest number of publications was Malaysia while The National University of Singapore was the most productive institution in GDM research in SEA. The focus of GDM research in SEA were on the prevalence, prevention, diagnosis, and pregnancy outcomes. GDP, research expenditure, and researchers per million people were positively correlated with research productivity and impact in GDM research in SEA.
CONCLUSIONS: This is the first bibliometric analysis on GDM in SEA countries. GDM research in SEA continued to increase in the past years but still lagged behind that of other regions. The SEA countries should consider increasing support for research to produce substantial research that can serve as basis for evidence-based and locally applicable GDM interventions.
METHODS: We systematically searched PubMed, Ovid, Scopus and ScienceDirect for observational studies in Asia from inception to August 2017. We selected cross sectional studies reporting the prevalence and risk factors for GDM. A random effects model was used to estimate the pooled prevalence of GDM and odds ratio (OR) with 95% confidence interval (CI).
RESULTS: Eighty-four studies with STROBE score ≥ 14 were included in our analysis. The pooled prevalence of GDM in Asia was 11.5% (95% CI 10.9-12.1). There was considerable heterogeneity (I2 > 95%) in the prevalence of GDM in Asia, which is likely due to differences in diagnostic criteria, screening methods and study setting. Meta-analysis demonstrated that the risk factors of GDM include history of previous GDM (OR 8.42, 95% CI 5.35-13.23); macrosomia (OR 4.41, 95% CI 3.09-6.31); and congenital anomalies (OR 4.25, 95% CI 1.52-11.88). Other risk factors include a BMI ≥25 kg/m2 (OR 3.27, 95% CI 2.81-3.80); pregnancy-induced hypertension (OR 3.20, 95% CI 2.19-4.68); family history of diabetes (OR 2.77, 2.22-3.47); history of stillbirth (OR 2.39, 95% CI 1.68-3.40); polycystic ovary syndrome (OR 2.33, 95% CI1.72-3.17); history of abortion (OR 2.25, 95% CI 1.54-3.29); age ≥ 25 (OR 2.17, 95% CI 1.96-2.41); multiparity ≥2 (OR 1.37, 95% CI 1.24-1.52); and history of preterm delivery (OR 1.93, 95% CI 1.21-3.07).
CONCLUSION: We found a high prevalence of GDM among the Asian population. Asian women with common risk factors especially among those with history of previous GDM, congenital anomalies or macrosomia should receive additional attention from physician as high-risk cases for GDM in pregnancy.
TRIAL REGISTRATION: PROSPERO (2017: CRD42017070104 ).
METHODS: A cross-sectional study was conducted among 526 pregnant women with GDM in two tertiary hospitals in Malaysia. Diabetes-related QOL was assessed using the Asian Diabetes Quality of Life Scale (AsianDQoL). Socio-demographic characteristics, glucose monitoring treatments for GDM, past obstetric history, concurrent medical problems and a family history of diseases were captured from patient records. A multiple logistic regression was used for analysis.
RESULTS: A total of 526 respondents with GDM entered the analysis. The median age of the respondents was 32 (interquartile range = 7) while 82.3% were Malay women. More than half of the respondents (69.5%) received an oral hypoglycaemic agent (OHA), and/or diet modification in controlling their GDM. The study reported that 23.2% of the respondents had poor-to-moderate QOL. Those with a family history of depression and/or anxiety (adjusted Odds ratio [AOR] 6.934, 95% confidence interval [CI] 2.280-21.081), and a family history of GDM (AOR 1.814, 95% CI 1.185-2.778) were at higher odds of suffering from poor-to-moderate QOL compared to those without a family history. Similarly, those who received insulin, with or without OHA, and/or are on diet modification (AOR 1.955, 95% CI 1.243-3.074) were at higher odds of suffering from poor-to-moderate QOL compared to those receiving OHA and/or diet modification.
CONCLUSION: Nearly one-quarter of Malaysian women with GDM have poor-to-moderate QOL. GDM women with a family history of depression and/or anxiety, family history of GDM, and those who received insulin, with or without OHA, and/or are on diet modification were associated with poor-to-moderate QOL.
TRIAL REGISTRATION: NMRR-17-2264-37814.
METHODS: Plasma concentrations of folate, vitamins B6, B12, homocysteine and glucose were measured at 26-weeks' gestation in 913 pregnant women. GDM was diagnosed using the 1999 World Health Organization criteria. Associations were examined with linear or logistic regression, adjusted for confounders and stratified by ethnicity.
RESULTS: Higher plasma folate was associated with higher 2-h glucose and higher odds of GDM [0.15 (0.02, 0.23) per 1-SD increment in folate, OR 1.29 (1.00, 1.60)], mainly among Indian mothers. Higher plasma vitamin B12 and homocysteine were associated with lower fasting and 2-h glucose, and lower odds of GDM [-0.04 (-0.07, -0.01) per 1-SD increment in B12 and -0.09 (-0.18, -0.003) respectively, OR: 0.81 (0.68, 0.97); -0.05 (-0.08, -0.02) per 1-SD increment in homocysteine and -0.12 (-0.21, -0.02) respectively, OR: 0.76 (0.62, 0.92)]. The highest odds of GDM were observed among women with combined vitamin B12 insufficiency and high folate concentration [OR: 1.97 (1.05, 3.68)]. An association between higher vitamin B6 and higher 2-h glucose shifted towards null adjusting for other B-vitamins.
CONCLUSIONS: Higher maternal folate coupled with vitamin B12 insufficiency was associated with higher GDM risk. This finding has potential implications for antenatal supplement recommendations but will require confirmation in future studies.
METHODS: This was a descriptive, cross-sectional study of 526 women with GDM. Depressive, anxiety and stress symptoms are defined as the final score in mild to extremely severe risk in the severity rating scale. Data analysis was performed using SPSS v.21, while multiple logistic regression was used to identify predictors of depressive, anxiety and stress symptoms.
RESULTS: Prevalence of anxiety symptoms was highest (39.9%), followed by depressive symptoms (12.5%) and stress symptoms (10.6%) among women with GDM. According to multiple logistic regression analyses, younger age (OR = 0.955, 95% CI = 0.919-0.993), comorbidity with asthma (OR = 2.436, 95% CI = 1.219-4.870) and a family history of depression and anxiety (OR = 4.782, 95% CI = 1.281-17.853) had significant associations with antenatal anxiety symptoms. Being non-Muslim (OR = 2.937, 95% CI = 1.434-6.018) and having a family history of depression and anxiety (OR = 4.706, 95% CI = 1.362-16.254) had significant associations with antenatal depressive symptoms. Furthermore, being non-Muslim (OR = 2.451, 95% CI = 1.273-4.718) had a significant association with antenatal stress symptoms.
CONCLUSIONS: Within a population of women with GDM in Malaysia, those at higher risk of having depressive, anxiety and stress symptoms can be identified from several baseline clinical characteristics. Clinicians should be more alert so that the high-risk patients can be referred earlier for further intervention.