The role of clinical factors in the association of gestational diabetes amongst women aged 15-49 years residing in Yazd-Iran

Association between the history of abortion and gestational diabetes mellitus: A meta-analysis

PURPOSE

Gestational diabetes mellitus (GDM) is a common metabolic disease in pregnant women. The purpose of this study was to determine whether a history of abortion increases the risk of GDM by meta-analysis.

METHODS

A comprehensive literature search was conducted in nine databases of studies on the association between abortion history and GDM up to April 12, 2022. Fixed- or random-effects models were used to estimate the pooled odds ratio (OR) and 95% CI. The I square value (I²) was used to assess heterogeneity. Possible sources of heterogeneity were explored by conducting subgroup analysis and meta-regression. A sensitivity analysis was also performed for this meta-analysis. Publication bias was assessed by funnel plots and Egger's tests.

RESULTS

Thirty-one studies enrolling 311,900 subjects were included in this meta-analysis. The risk of GDM was higher in women who experienced abortion than in those who did not (OR = 1.41 95% CI: 1.28-1.55, I² = 66.8%). The risk of GDM increased with an increasing number of abortions (1 time: OR = 1.67, 95% CI = 1.26-2.22; 2 times: OR = 2.10, 95% CI = 1.26-3.49; ≥3 times: OR = 2.49, 95% CI = 1.24-5.01). Both spontaneous abortion (OR = 1.52, 95% CI = 1.30-1.78) and induced abortion (OR = 1.07, 95% CI = 1.03-1.11) were associated with an increased risk of GDM.

CONCLUSIONS

A history of abortion was associated with an increased risk of GDM in pregnant women, which may be a risk factor for predicting GDM.

Miscarriage, stillbirth and the risk of diabetes in women: A systematic review and meta-analysis

AIMS

Whether women with a history of miscarriage or stillbirth have an increased risk of diabetes is inconclusive. We aimed to systematically assess the association between them.

METHODS

We searched PubMed, Web of Science and Scopus through November 2022. Random-effect model for meta-analysis was applied to calculate pooled odds ratios and corresponding 95 % confidence intervals (CIs) when heterogeneity was > 40 %.

RESULTS

Thirteen cohort studies and eight case-control studies with a total of 529,990 participants were included. Women ever experiencing a miscarriage had a 1.15-fold risk of non-gestational diabetes (95% CI: 1.02-1.28) and a 1.62-fold risk of gestational diabetes (95% CI: 1.32-1.98) compared to those never experiencing a miscarriage. Of them, women with three or more miscarriages had a 1.99-fold risk of non-gestational diabetes (95% CI: 1.36-2.91). The risk of non-gestational diabetes among women ever experiencing a stillbirth was 1.21 times compared with those never experiencing a stillbirth (95% CI: 1.03-1.41). Pooled results did not support a stable association between stillbirth and gestational diabetes risk (odds ratio:1.91, 95% CI: 1.00-3.64).

CONCLUSIONS

A history of miscarriage or stillbirth was associated with an increased risk of diabetes in women. Future studies are needed to explore whether prediabetic metabolic conditions contribute to this association.

Association between body mass index in the first half of pregnancy and gestational diabetes: A systematic review

Gestational diabetes mellitus is a more common complication in pregnancy and rising worldwide and screening for treating gestational diabetes mellitus is an opportunity for preventing its complications. Abnormal body mass index is the cause of many complications in pregnancy that is one of the major and modifiable risk factors in pregnancy too. This systematic review aimed to define the association between body mass index in the first half of pregnancy (before 20 weeks of gestation) and gestational diabetes mellitus. Web of Science, PubMed/Medline, Embase, Scopus, ProQuest, Cochrane library, and Google Scholar databases were systematically explored for articles published until April 31, 2022. Participation, exposure, comparators, outcomes, study design criteria include pregnant women (P), body mass index (E), healthy pregnant women (C), gestational diabetes mellitus (O), and study design (cohort, case–control, and cross-sectional). Newcastle–Ottawa scale checklists were used to report the quality of the studies. Eighteen quality studies were analyzed. A total of 41,017 pregnant women were in the gestational diabetes mellitus group and 285,351 pregnant women in the normal glucose tolerance group. Studies have reported an association between increased body mass index and gestational diabetes mellitus. Women who had a higher body mass index in the first half of pregnancy were at higher risk for gestational diabetes mellitus. In the first half of pregnancy, body mass index can be used as a reliable and available risk factor to assess gestational diabetes mellitus, especially in some situations where the pre-pregnancy body mass index is not available.

Prevalence and predictors of gestational diabetes mellitus among pregnant women attending antenatal clinic in Dodoma region, Tanzania: an analytical cross-sectional study

INTRODUCTION

Gestational diabetes mellitus (GDM) is rapidly increasing worldwide. Globally, 18.4 million pregnancies are complicated by GDM. Despite its known effect, GDM screening is not part of routine antenatal services in Tanzania. There is paucity of data on the magnitude and risk factors for GDM. Therefore, this study sought to determine prevalence and predictors of GDM among pregnant women in Dodoma region, Tanzania from March to August 2018.

RESEARCH DESIGN AND METHODS

A cross-sectional study was carried out in Dodoma region, Tanzania between April and August of 2018. A total of 582 pregnant women were recruited from four local health facilities, where purposive sampling procedure was used to select the region, districts and health facilities. Simple random sampling was used to select study participants. Screening and diagnosis of GDM were performed using the 2013 WHO criteria. Descriptive and inferential analyses were performed using SPSS V.23 to determine prevalence and independent predictors of GDM.

RESULTS

Among 582 participants, 160 (27.5%) participants were diagnosed with GDM. GDM was more prevalent in urban areas than rural areas, among overweight participants, among participants with a history of a large for gestational age baby, among participants with a history of caesarean section, and among participants with college or university education. Multiple logistic regression analysis showed that maternal age above 35 years (adjusted OR (AOR) 3.115 (95% CI: 1.165 to 8.359)), pre-eclampsia (AOR 3.684 (95% CI: 1.202 to 5.293)), low physical activity level (AOR 4.758 (95% CI: 2.232 to 10.143)), lack of awareness of GDM (AOR 6.371 (95% CI: 1.944 to 13.919)), alcohol use (AOR 4.477 (95% CI: 1.642 to 12.202)) and family history of diabetes (AOR 2.344 (95% CI: 1.239 to 4.434)) were significantly associated with GDM.

CONCLUSIONS

Prevalence of GDM is relatively high in Dodoma region. Most pregnant women are unaware of the condition such that it leads to a high-risk lifestyle. Besides, GDM significantly contributes to the number of high-risk pregnancies that go undetected and suboptimally managed. The antenatal care centres offer an optimum platform for screening, preventing and treating GDM by prioritising high-risk women.