Secular Trends of Gestational Diabetes Mellitus and Changes in Its Risk Factors

Temporal Trends in Gestational Diabetes Mellitus and Associated Risk Factors in Ontario, Canada, 2012-2020: A Population-Based Cohort Study

OBJECTIVES

The prevalence of gestational diabetes mellitus (GDM) has been increasing globally over recent decades; however, underlying reasons for the increase remain unclear. We analyzed trends in GDM rates and evaluated risk factors associated with the observed trends in Ontario, Canada.

METHODS

We conducted a retrospective population-based cohort study using the Better Outcomes Registry and Network Ontario, linked with the Canadian Institute for Health Information Discharge Abstract Database. All pregnant individuals who had a singleton hospital delivery from 1 April 2012 to 31 March 2020 were included. We calculated rates and 95% CIs for GDM by year of delivery and contrasted fiscal year 2019/20 with 2012/13. Temporal trends in GDM were quantified using crude and adjusted risk ratios by modified Poisson regression. We further quantified the temporal increase attributable to changes in maternal characteristics by decomposition analysis.

RESULTS

Among 1 044 258 pregnant individuals, 82 896 (7.9%) were diagnosed with GDM over the 8 years. GDM rate rose from 6.1 to 10.4 per 100 deliveries between fiscal years 2012/13 and 2019/20. The risk of GDM in 2019/20 was 1.53 times (95% CI 1.50-1.56) higher compared with 2012/13. 27% of the increase in GDM was due to changes in maternal age, 8 BMI, and Asian ethnicity.

CONCLUSIONS

The GDM rate has been consistently increasing in Ontario, Canada. The contribution of increasing maternal age, pre-pregnancy obesity, and Asian ethnicity to the recent increase in GDM is notable. Further investigation is required to better understand the contributors to increasing GDM.

Effect of probiotic yogurt on gestational diabetes mellitus: A systematic review and meta-analysis

BACKGROUND AND AIMS

Gestational diabetes mellitus is one of the important complications of pregnancy and is related to many adverse events. There is evidence that probiotics can be considered a preventive and therapeutic option in gestational diabetes mellitus. In this meta-analysis, we have focused on the effect of probiotic yogurt as a natural product on gestational diabetes mellitus.

METHODS

A systematic literature search was done through PUBMED/Medline, Google Scholar, Cochrane Library, and EBSCO up to December 2022. This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines for the evaluation of the effect of probiotic yogurt on gestational diabetes mellitus.

RESULTS

Four manuscripts with a total of 533 participants were included in this meta-analysis. There was a statistically significant association between probiotic yogurt and reduced risk of gestational diabetes mellitus (Pooled OR 0.35; 95% CI 0.19-0.62; I² = 0.0%). Furthermore, the mean reduction in the fasting plasma glucose was significantly higher in the probiotic yogurt groups (Hedges' g = -0.37; 95% CI -0.68 to -0.05; I² = 0.0%).

CONCLUSION

This meta-analysis suggests that probiotic yogurt lowers the risk of gestational diabetes mellitus. Also, it is related to a significant reduction in fasting plasma glucose. These findings promise that probiotic yogurt could be regarded as a safe and low-cost therapy and preventive option for gestational diabetes mellitus. However, more randomized controlled trials with different doses and more probiotic strains with varying systems of delivery are warranted.

Prediction of gestational diabetes mellitus by different obesity indices

Background

The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed.

Methods

A total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13⁺⁶ of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24–28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM.

Results

A total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (P < 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62–0.64) for the AC, 0.64 (95% CI: 0.62–0.65) for the ACHtR and 0.63 (95% CI: 0.62–0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM.

Conclusions

An increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM.

Increasing trend in the prevalence of gestational diabetes mellitus in Taiwan

AIMS/INTRODUCTION

Maternal hyperglycemia leads to adverse pregnancy outcomes, and also subsequently affects both mothers and their offspring in later life. The prevalence of type 2 diabetes mellitus is increasing worldwide, and gestational diabetes mellitus (GDM) is also believed to be increasing. More precise nationwide and up-to-date data on GDM are required.

MATERIALS AND METHODS

A population-based retrospective cohort study was carried out with the Birth Certificate Application database and linked to the National Health Insurance Research Database to explore trends in the annual crude prevalence of GDM in all women who gave birth between 1 January 2004 and 31 December 2015 in Taiwan and their pregnancy outcomes. The registry is considered complete, reliable and accurate.

RESULTS

A total of 2,468,793 births from 2,430,307 pregnancies were reported between 1 January 2004 and 31 December 2015. Finally, 2,053,305 pregnancies were included for further analysis. The annual prevalence of GDM increased by 1.8-fold during the 12 years from 2004 to 2015, with a significant continuous increasing trend (from 7.6% to 13.4%, P < 0.001). The annual prevalence of GDM significantly increased in each age group (all trends P < 0.001), particularly for women with maternal ages of 31 years and older. Urbanization level, geographic risk factors and seasonal variations were also noted.

CONCLUSION

The annual prevalence of GDM increased by 1.8-fold in the 12-year period from 2004 to 2015 in Taiwan, with a significant continuous increasing trend (from 7.6% to 13.4%, P < 0.001).

Association between pregravid liver enzyme levels and gestational diabetes in twin pregnancies: a secondary analysis of national cohort study

Multiple pregnancies are prone to gestational diabetes mellitus (GDM). This study investigated the association between pregravid liver enzyme levels and the development of GDM in a twin pregnancy. Women who had the National Health Screening Examination and delivered their twin babies within one year were enrolled. Pregravid liver enzyme levels were divided into high and low level. Risks for developing GDM by high levels of liver enzymes were analyzed, in subgroups by pregravid obesity or metabolic syndrome. Among the 4348 twin pregnancies, 369 women (8.5%) developed GDM not requiring insulin treatment (GDM - IT), and 119 women (2.7%) developed GDM requiring insulin treatment(GDM + IT). High levels of pregravid GGT and ALT were related to risks of GDM + IT not only in women with obesity or metabolic syndrome (odds ratio[OR] 6.348, 95% confidence interval [CI] 2.579-15.624 and OR 6.879, 95% CI 2.232-21.204, respectively), but also in women without obesity (OR 3.05, 95% CI 1.565-5.946) or without metabolic syndrome (OR 3.338, 95% CI 1.86-5.992), compared to in women with low levels of those. However, there were no significant associations in the pregravid ALT and GGT levels and risks for development of GDM - IT, unrelated to pregravid obesity or metabolic syndrome. Therefore, this study suggests that women with high levels of pregravid GGT and ALT need to recognize their increased risk of GDM + IT, regardless of pregravid obesity or MetS, when they get pregnant twin.

Maternal pre-pregnancy body mass index and the risk for gestational diabetes mellitus in women with twin pregnancy in South Korea

OBJECTIVE

To investigate the association between maternal pre-pregnancy body mass index (BMI) and the risk for gestational diabetes mellitus (GDM) in women with twin pregnancy in South Korea.

MATERIALS AND METHODS

We performed a single-center, retrospective cohort study involving 1028 women with twin pregnancy from January 2006 to December 2018 in South Korea. Pregnancies with monoamnionic twins, twin-twin transfusion syndrome, fetal death in utero before 24 weeks, pre-gestational diabetes mellitus, and unknown BMI or GDM status were excluded. Subjects were grouped into four groups based on pre-pregnancy BMI: underweight (<18.5 kg/m²), normal (18.5-22.9 kg/m²), overweight (23.0-24.9 kg/m²), and obese (≥25.0 kg/m²).

RESULTS

Among 1028 women who were included in the analysis, 169 (16.4%), 655 (63.7%), 111 (10.8%), and 93 (9.0%) women were underweight, normal, overweight, and obese, respectively, before pregnancy. The incidence of GDM was 8.9% in the total study population: 4.7%, 8.2%, 11.7%, and 17.2% in the underweight, normal, overweight, and obese group, respectively (p = 0.005). The incidence of GDM significantly increased according to the increase in pre-pregnancy BMI (p < 0.001). Women in the obese group were more likely to be affected by GDM compared to the normal group (adjusted odds ratio = 2.20, 95% confidence interval = 1.19-4.08) after controlling for maternal age, parity, type of conception, and chorionicity.

CONCLUSION

In twin pregnancies in South Korea, the risk of GDM increased as maternal pre-pregnancy BMI increased and obese women before pregnancy were more likely to be affected by GDM.

Trends in maternal characteristics, and maternal and neonatal outcomes of women with gestational diabetes: A study from Jordan

BACKGROUND

Gestational diabetes mellitus (GDM) is a major health issue that poses its risk on pregnancy. It is prevalence has been globally increasing.

AIM

This study aimed to examine trends in demographic and socioeconomic characteristics, maternal BMI, behavioral factors, obstetric interventions, pregnancy complications, and maternal pre-existing medical conditions and maternal and neonatal outcomes in women with GDM in Jordan. We also aimed to equate the occurrence of emergency cesarean delivery with GDM.

METHODS

The study is a part of a comprehensive national study of perinatal mortality that was conducted in Jordan. This study included all women who gave birth in the selected hospitals during the study period. Maternal and medical conditions during pregnancy and neonatal outcomes were compared among women who did not develop gestational diabetes mellitus and those who developed gestational diabetes mellitus.

RESULTS

The overall incidence rate of gestational diabetes mellitus (GDM) was 1.2%. Women with gestational diabetes had a higher weight, and BMI, more likely to be overweight, obese, or morbidly obese and less likelihood to be underweight. A significant association was detected between previous spontaneous abortions/miscarriages, previous preterm, previous stillbirths, previous children born with birth weight less than 2500 g, and previous children born alive and died before 28 days, and the incidence of GDM. Women with GDM were at high risk for complications in pregnancy such as hypertension, preeclampsia, premature delivery and labor induction. The offspring of GDM patients were at high risk of complications such as macrosomia, stillbirth, neonatal hypoglycemia, and neonatal jaundice and admittance to the NICU.

CONCLUSIONS

The incidence of GDM was linked to several clinical factors. Women with GDM are at high risk for complications of pregnancy and at higher risk of neonatal complications.

Influences of pregravid liver enzyme levels on the development of gestational diabetes mellitus

BACKGROUND & AIMS

Elevated liver enzymes are associated with later development of type 2 diabetes mellitus. The objective of this study was to assess the association between prepregnancy liver enzyme levels and subsequent risk of gestational diabetes mellitus.

METHODS

Data from a total of 236,109 women who participated in the National Health Screening Examination between 2011 and 2015 was analysed. Multivariate logistic regression analyses were performed to estimate the risk of developing gestational diabetes mellitus in relation to pregravid liver enzyme levels. Subgroup analyses were performed according to pregravid obesity and metabolic syndrome (MetS).

RESULTS

Approximately 5.7% and 1.1% of women developed gestational diabetes mellitus with and without insulin treatment requirement respectively. Pregravid gamma-glutamyl transferase and alanine aminotransferase levels with greater than or equal to the 4th quartile were associated with significantly increased risks of gestational diabetes mellitus requiring insulin treatment in women with obesity and with MetS, (odds ratios [ORs] with 6.228 and 9.505, respectively, P < .001 for both). In women without obesity and without MetS, the risks of gestational diabetes mellitus requiring insulin treatment were also significant (ORs with 2.837 and 3.029, respectively, P < .001 for both). The elevated pregravid liver enzymes were associated with gestational diabetes mellitus without insulin treatment requirement, but minimally.

CONCLUSIONS/INTERPRETATION

The elevated pregravid liver enzyme levels were significantly associated with the subsequent risk of gestational diabetes mellitus, especially gestational diabetes mellitus requiring insulin treatment, not only in women with obesity or MetS, but also in women without obesity or MetS.

Trends and associated maternal characteristics of antidiabetic medication use among pregnant women in South Korea

The prevalence of diabetes during pregnancy and the need for the treatment are increasing. We aimed to investigate antidiabetic medications (ADM) use among pregnant women and their characteristics. Using Korea’s nationwide healthcare database, we included women aged 15–49 years with births during 2004–2013. The prevalence and secular trend of ADM use were assessed in 3 periods: pre-conception period, first trimester, and second/third trimesters. To compare maternal characteristics between pregnancies with and without ADM prescription, we used the χ² or Fisher’s exact test and Cochran-Armitage trend test. The prescription patterns analyzed by calendar year, age, insurance type, income, area, and medical institution. Of 81,559 pregnancies, 222 (0.27%) and 305 (0.37%) were exposed ADM during pre-conception and pregnancy periods, respectively. ADM prescriptions increased significantly by an 11.3-fold in second/third trimesters, while a 2.9-fold in first trimester. ADM use is more prevalent in women aged older and living in urban areas. Metformin was most used in the pre-conception period, while insulins were most during pregnancy. About 0.4% of women received ADM during pregnancy; a rate was lower than that in western countries. Non-recommended medications were more common in first trimester, which warrants pregnancy screening for women taking ADM.

The effect of gestational diabetes mellitus on the risk of asthma in offspring

PURPOSE

To examine the effect of maternal gestational diabetes mellitus on the risk of asthma in the offspring.

METHODS

This cohort study used data from 19,933 children in the National Longitudinal Survey of Children and Youth (NLSCY), 1994/1995-2008/2009, Canada. Children were followed until the first-time report of having health professional-diagnosed asthma (hereafter incident asthma), loss to follow-up, or end of the NLSCY follow-up, whichever occurred first. As a surrogate for Cox proportional hazards regression, pooled logistic regression models, crude and adjusted for potential confounders, were fitted to estimate the effect of gestational diabetes mellitus on the risk of asthma in the offspring.

RESULTS

Among the 19,933 children, 1,178 (5.9%) had mothers with gestational diabetes mellitus. The median duration of follow-up was 4 (interquartile range: 4) years. A total of 1639 children in the cohort had reported incident asthma during the follow-up, and 119 of them had mothers with gestational diabetes mellitus. The adjusted hazard ratio for the association between gestational diabetes mellitus and incident asthma in offspring was 1.25 (95% confidence interval [CI] 1.03, 1.51).

CONCLUSIONS

Our findings suggest that gestational diabetes mellitus increases the risk of asthma in the offspring.

Prevention of Gestational Diabetes: The Role of Dietary Intake, Physical Activity, and Weight before, during, and between Pregnancies

Gestational diabetes mellitus (GDM) is the most common complication of pregnancy and a significant clinical and public health problem with lifelong and intergenerational adverse health consequences for mothers and their offspring. The preconception, early pregnancy, and interconception periods represent opportune windows to engage women in preventive and health promotion interventions. This review provides an overview of findings from observational and intervention studies on the role of diet, physical activity, and weight (change) during these periods in the primary prevention of GDM. Current evidence suggests that supporting women to increase physical activity and achieve appropriate weight gain during early pregnancy and enabling women to optimize their weight and health behaviors prior to and between pregnancies have the potential to reduce rates of GDM. Translation of current evidence into practice requires further development and evaluation of co-designed interventions across community, health service, and policy levels to determine how women can be reached and supported to optimize their health behaviors before, during, and between pregnancies to reduce GDM risk.

Gestational diabetes in Korea: Temporal trends in prevalence, treatment, and short-term consequences from a national health insurance claims database between 2012 and 2016

AIMS

This population-based cross-sectional study aimed to investigate recent trends in the prevalence and treatment of gestational diabetes mellitus (GDM) in Korea. We also investigated trends in annual prevalence rate of pregnancy-induced hypertension (PIH) and cesarean section (C-section) in GDM patients.

METHODS

We used data from the Health Insurance Review and Assessment-National Patient Sample (HIRA-NPS) database, 2012-2016. Non-GDM (n = 53,698) and GDM (n = 7956) patient data were analyzed for each year.

RESULTS

The annual increase in the prevalence of GDM was 11.1% over 2012-2016, with a significant continuously increasing trend (p < 0.0001). Age-stratified analysis showed that the annual prevalence of GDM significantly increased in patients below 40 years of age, but was not statistically significant as an increasing trend in patients above 40 years of age. Annual PIH prevalence rate among GDM women showed decreasing trend but was not statistically significant. An annual increase in C-section rate above 5% in GDM patients was statistically significant in both unadjusted and adjusted for age and PIH models.

CONCLUSIONS

The prevalence of GDM in Korean women and C-section rates in women with GDM showed a significantly increasing trend, 2012-2016. There is a need for further efforts to monitor this trend and to identify associated risk factors for GDM in Korean women.

Temporal trend of diabetes in pregnant women and its association with birth outcomes, 2011 to 2017

AIM

To assess changes in the prevalence of diabetes in pregnant women, and its association with selected birth outcomes (including caesarean section, episiotomy, admission to the special care nursery/neonatal intensive care unit, postpartum haemorrhage and neonatal birth weight) from 2011 to 2017.

METHODS

In a single-centre, retrospective cohort study, we examined records of pregnant women who attended an Australian tertiary hospital between 2011 and 2017, identifying women with gestational diabetes mellitus and pre-existing diabetes mellitus, and examined trends associated with diabetes and their effects on birth outcomes.

RESULTS

The average incidence of women with diabetes increased by 9% annually (RR = 0.09, 95% CI = 1.08-1.11), which was 6% greater in women who received antenatal doctor-led care (RR = 1.06, 95% CI = 1.01-1.13), 42% greater in women who had other endocrine diseases (including thyroid, adrenal or pituitary diseases) (RR = 1.42, 95% CI = 1.31-1.53), and 61% greater in women with hypertension during pregnancy (RR = 1.61, 95% CI = 1.47-1.78). The presence of diabetes did not affect the relative risks of caesarean section, episiotomy, postpartum haemorrhage, decreased neonatal birth weight or special care nursery/neonatal intensive care unit admission, after adjustment for demographics and health and care status and behaviours.

CONCLUSIONS

The rate of diabetes during pregnancy increased from 2011 to 2017. Diabetes did not affect the relative risk of untoward birth outcomes.

Association between Probiotic Yogurt Intake and Gestational Diabetes Mellitus: A Case-Control Study

BACKGROUND

Gestational diabetes mellitus is one of the most frequent metabolic complications of pregnancy. Previous studies have reported that using either probiotic yogurt or a probiotic supplement reduces the incidence of gestational diabetes. However, the results were inconsistent. Thus, the aim of the present study was to investigate the association between gestational diabetes mellitus and probiotic yogurt intake during pregnancy and pre-pregnancy in Chinese women.

METHODS

This was a case-control study involving 123 cases with gestational diabetes mellitus and 126 controls matched for age and pre-pregnancy body mass index. Each participant was interviewed face-to-face using a structured questionnaire to collect socio-demographic characteristics, diet and exercise habits, as well as probiotic yogurt consumption (containing Lactobacillus acidophilus and Bifidobacterium) during pregnancy and pre-pregnancy. An unconditional logistic regression analysis was used to analyze the data.

RESULTS

Mothers in both groups had similar socio-demographic backgrounds. Probiotic yogurt intake during pregnancy was significantly higher in normal pregnant women than that in women with gestational diabetes mellitus (adjusted odds ratio: 0.292, 95% confidence interval: 0.148 - 0.577, P < 0.05). There were no significant differences in probiotic yogurt consumption before pregnancy between cases and controls.

CONCLUSION

Probiotic yogurt intake before pregnancy was not associated with gestational diabetes mellitus, but probiotic yogurt consumption during pregnancy was effective in reducing the risk of gestational diabetes mellitus in Chinese women. The findings from the present study may have implications for the future care of pregnant Chinese women with gestational diabetes mellitus.

The trends and risk factors to predict adverse outcomes in gestational diabetes mellitus: a 10-year experience from 2006 to 2015 in a single tertiary center

Objective

To investigate the change of maternal characteristics, delivery and neonatal outcomes in gestational diabetes mellitus (GDM) over recent 10 years and to identify the risk factors associated with adverse outcome.

Methods

Consecutive GDM patients (n=947) delivered in our institution were included. Research period was arbitrarily divided into 2 periods (period 1: from 2006 to 2010, period 2: from 2011 to 2015). Multiple pregnancies or preexisting diabetes were excluded. Maternal baseline characteristics, delivery and neonatal outcomes were reviewed. Fetal biometric findings by prenatal ultrasonography were collected. Adverse pregnancy outcome (APO) was defined by the presence of one of the followings; shoulder dystocia, neonatal macrosomia (>4 kg), neonatal hypoglycemia (<35 mg/dL), respiratory distress syndrome (RDS), and admission to the neonatal intensive care unit (NICU) in term pregnancy.

Results

Period 2 was associated with older maternal age (34 vs. 33, P<0.001) and higher proportion of GDM A2 compared to period 1 (30.9% vs. 23.0%, P=0.009). By univariate analysis, APO was associated with increased body mass index (BMI) at pre-pregnancy (23.4 kg/m² vs. 21.8 kg/m², P=0.001) or delivery (27.9 kg/m² vs. 25.8 kg/m², P<0.001), higher HbA1c at diagnosis (5.6% vs. 5.3%, P<0.001) or delivery (5.8% vs. 5.5%, P=0.044), and larger fetal biometric findings (abdominal circumference [AC] and estimated fetal weight, P=0.029 and P=0.007, respectively). Multivariate analysis showed pre-pregnancy BMI (odds ratio [OR], 1.101; 90% confidence interval [CI], 1.028–1.180) and fetal AC (OR, 1.218; 90% CI, 1.012–1.466) were independently associated with adverse outcomes.

Conclusion

Our study demonstrated the trends and relevant factors associated with the adverse outcomes.

Evolving Trends in the Epidemiology, Risk Factors, and Prevention of Type 2 Diabetes: A Review

Currently, the global prevalence of diabetes is 8.8%. This figure is expected to increase worldwide, with the largest changes projected to occur in low- and middle-income countries. The aging of the world's population and substantial increases in obesity have contributed to the rise in diabetes. Global shifts in lifestyles have led to the adoption of unhealthy behaviours such as physical inactivity and poorer-quality diets. Correspondingly, diabetes is a rapidly-increasing problem in higher- as well as lower-income countries. In Canada, the prevalence of diabetes increased approximately 70% in the past decade. Although diabetes-related mortality rates have decreased in Canada, the number of people affected by diabetes has continued to grow because of a surge in the number of new diabetes cases. Non-European ethnic groups and individuals of lower socioeconomic status have been disproportionately affected by diabetes and its risk factors. Clinical trials have proven efficacy in reducing the onset of diabetes in high-risk populations through diet and physical activity interventions. However, these findings have not been broadly implemented into the Canadian health care context. In this article we review the evolving epidemiology of type 2 diabetes, with regard to trends in occurrence rates and prevalence; the role of risk factors including those related to ethnicity, obesity, diet, physical activity, socioeconomic status, prediabetes, and pregnancy; and the identification of critical windows for lifestyle intervention. Identifying high-risk populations and addressing the upstream determinants and risk factors of diabetes might prove to be effective diabetes prevention strategies to curb the current diabetes epidemic.

Prevalence of Gestational Diabetes Mellitus in Eastern and Southeastern Asia: A Systematic Review and Meta-Analysis

AIM

To review the prevalence of gestational diabetes mellitus (GDM) in Eastern and Southeastern Asia.

METHODS

We systematically searched for observational studies on GDM prevalence from January 2000 to December 2016. Inclusion criteria were original English papers, with full texts published in peer-reviewed journals. The quality of included studies was evaluated using the guidelines of the National Health and Medical Research Council, Australia. Fixed effects and random effects models were used to estimate the summary prevalence of GDM and the corresponding 95% confidence intervals (CI).

RESULTS

A total of 4415 papers were screened, and 48 studies with 63 GDM prevalence observations were included in the final review. The pooled prevalence of GDM was 10.1% (95% CI: 6.5%-15.7%), despite substantial variations across nations. The prevalence of GDM in lower- or upper-middle income countries was about 64% higher than in their high-income counterparts. Moreover, the one-step screening method was twice more likely to be used in diagnosing GDM when compared to the two-step screening procedure.

CONCLUSIONS

The prevalence of GDM in Eastern and Southeastern Asia was high and varied among and within countries. There is a need for international uniformity in screening strategies and diagnostic criteria for GDM.

Preeclampsia: A risk factor for gestational diabetes mellitus in subsequent pregnancy

Preeclampsia and gestational diabetes (GDM) have several mechanisms in common. The aim of this study was to determine whether women with preeclampsia have an increased risk of GDM in a subsequent pregnancy. Study data were collected from the Korea National Health Insurance Claims Database of the Health Insurance Review and Assessment Service for 2007–2012. Patients who had their first delivery in 2007 and a subsequent delivery between 2008 and 2012 in Korea were enrolled. A model of multivariate logistic regression analysis was performed with GDM as the final outcome to evaluate the risk of GDM in the second pregnancy. Among the 252,276 women who had their first delivery in 2007, 150,794 women had their second delivery between 2008 and 2012. On the multivariate regression analysis, women with preeclampsia alone in the first pregnancy had an increased risk of GDM in the second pregnancy when compared with women who had neither of these conditions in their first pregnancy (OR 1.2, 95% CI, 1.1–1.3). Women with GDM alone in the first pregnancy were at an increased risk for GDM in the second pregnancy (OR 3.3, 95% CI 3.1–3.4). The co-presence of preeclampsia and GDM in the first pregnancy further increased the risk of GDM in the second pregnancy (OR 5.9, 95% CI, 4.0–8.6). Our study showed that a history of preeclampsia may serve as an additional risk factor for GDM in a subsequent pregnancy.

Pre-pregnancy weight change and incidence of gestational diabetes mellitus: A finding from a prospective cohort study

AIMS

In a population-based cohort study we examined the associations between early adult pre-pregnancy weight change and the risk of gestational diabetes mellitus (GDM).

METHODS

The study included 3111 women from the 1973-78 cohort of the Australian Longitudinal Study on Women's Health. These women have been surveyed regularly since 1996. Women without diabetes and GDM were followed-up between 2003 and 2012. Generalized estimating equations were used to assess the effect of baseline (1996, mean age 20years) and pre-pregnancy body mass index (BMI) and the pre-pregnancy weight changes on the incidence of GDM. The full models were adjusted for sociodemographic and lifestyle factors.

RESULTS

From 2003 to 2012, 229GDM cases (4.4%) were reported in 5242 pregnancies. Relative to normal BMI women, obese women at baseline (RR: 1.8, 95% CI: 1.1, 2.8) and prior to pregnancy (RR: 2.7, 95% CI: 2.0, 3.6) were at greater risk of GDM. Weight gains prior to each study pregnancy were strongly associated with increased GDM risk with an adjusted RR ranging from 2.0 to 2.9. Within under/normal range of BMI, women with a moderate/high (>2.5%/year) weight gain had 2.7 (95% CI: 1.3, 5.5) times the risk of GDM compared with women with stable weight.

CONCLUSIONS

Early adult weight gain, even within normal BMI range, is an important risk factor for the development of GDM. Weight gain prevention from early adulthood to prior to pregnancy appears to be the main strategy to prevent the incidence of GDM.

Prevention of type 2 diabetes mellitus in women with previous gestational diabetes mellitus

Gestational diabetes mellitus (GDM), defined as any degree of glucose intolerance with onset or first recognition during pregnancy, is characterized by underlying maternal defects in the β-cell response to insulin during pregnancy. Women with a previous history of GDM have a greater than 7-fold higher risk of developing postpartum diabetes compared with women without GDM. Various risk factors for postpartum diabetes have been identified, including maternal age, glucose levels in pregnancy, family history of diabetes, pre-pregnancy and postpartum body mass index, dietary patterns, physical activity, and breastfeeding. Genetic studies revealed that GDM shares common genetic variants with type 2 diabetes. A number of lifestyle interventional trials that aimed to ameliorate modifiable risk factors, including diet, exercise, and breastfeeding, succeeded in reducing the incidence of postpartum diabetes, weight retention, and other obesity-related morbidities. The present review summarizes the findings of previous studies on the incidence and risk factors of postpartum diabetes and discusses recent lifestyle interventional trials that attempted to prevent postpartum diabetes.

Influences of body size phenotype on the incidence of gestational diabetes needing prescription; analysis by Korea National Health Insurance (KNHI) claims and the National Health Screening Examination (NHSE) database

OBJECTIVES

Although growing evidence has emphasized the pivotal role of metabolic status irrespective of body mass index (BMI), there has been no study to examine the association of body size phenotype with development of gestational diabetes that requires treatment with oral hypoglycemic agent or insulin (GDM+T) in primiparas.

METHODS

Data from a total of 216,961 women who participated in the National Health Screening Examination (NHSE) between January 2007 and December 2011 and delivered their first babies within two years of the NHSE were analyzed. Body size phenotypes were classified according to body mass index (BMI) and the presence/absence of metabolic syndrome according to the results of the NHSE. GDM+T was identified using the International Classification of Diseases-10th Revision (ICD-10) and prescription codes using Korea National Health Insurance (KNHI) claims.

RESULTS

Approximately 0.39% of primiparas developed GDM+T. Compared to metabolically healthy normal weight (MHNW) women, both metabolically unhealthy normal weight (MUNW) and metabolically healthy obese (MHO) women had a significantly increased risk for developing GDM+T (odds ratio, OR: 9.53, 95% confidence interval, CI: 5.64-16.09 and OR: 3.30, 95% CI: 2.56-4.25, respectively). Specifically, MUNW individuals had a significantly higher risk of GDM+T when directly compared to MHO women even after adjusting for other GDM risk factors (OR: 2.92, 95% CI: 1.67-5.10). Furthermore, underweight women with metabolic syndrome showed a significantly increased frequency of GDM+T compared to MHNW subjects (OR: 8.87, 95% CI: 1.19-66.32).

CONCLUSIONS

Pre-pregnant metabolic status is critical for development of GDM+T, regardless of their BMI. Therefore, intensive intervention for the components of metabolic syndrome may be helpful for the prevention of GDM+T even in low or normal weight women.

Genetic variants associated with gestational diabetes mellitus: a meta-analysis and subgroup analysis

Previous studies have demonstrated that gestational diabetes mellitus (GDM) and Type 2 diabetes mellitus (T2D) share common genetic polymorphisms. We conducted meta-analysis and subgroup analysis of all available variants and determined the effects of confounding and experimental components on the genetic association of GDM. Any case-controlled or cohort studies with genotype distribution compared GDM cases with controls were included. In total, 28 articles including 8,204 cases and 15,221 controls for 6 polymorphisms were studied. rs10830963(MTNR1B), rs7903146(TCF7L2), and rs1801278(IRS1) were significantly associated with the increased GDM risk. The association of rs4402960(IGF2BP2) and rs1800629(TNF-α) was significant only when the studies with control allele frequency deviation and publication bias were excluded. Further subgroup analysis showed the risk alleles of rs7903146(TCF7L2) and rs1801282(PPARG) were significantly associated with the GDM risk only in Asian, but not in Caucasian population. The OGTT test using 100 g, but not 75 g; and genotype detection by other assays, but not Taqman method, were also significantly associated with increased GDM risk in rs1801278(IRS1) and rs7903146(TCF7L2). Overall GDM was associated with rs10830963(MTNR1B), rs7903146(TCF7L2), and rs1801278(IRS1), but only rs7903146(TCF7L2) and rs1801282(PPARG) were significant in Asian populations. While rs1801278(IRS1) and rs7903146(TCF7L2) were significantly affected by OGTT protocol and genotyping methods.