Gestational diabetes mellitus in women of single gravidity in Tianjin City, China

Effect of Maternal Diabetes Mellitus on Neonatal Hearing

Introduction

Gestational diabetes is a potential risk factor for neonatal hearing loss. Increased circulating sugars in mothers during pregnancy can impairs the micro circulation and can cause congenital anomalies of the inner ear resulting in congenital hearing loss. This study attempts to find the incidence of neonatal hearing loss among diabetic mothers.

Methodology

This was a case control study with 86 neonates of diabetic mothers as cases and neonates of non diabetic mothers(n = 86) as controls. Antenatal diabetic history and sugar values of mothers were documented. Hearing status of the neonates were tested using DPOAE test and ABR test. DPOAE test was done on 3rd day and those who did not get a positive response underwent 2nd DPOAE and also ABR test if 2nd DPOAE was negative.

Results

All neonates underwent DPOAE test and few were lost on follow up. First and second DPOAE showed a statistically significant difference between cases and controls. All babies who underwent ABR test had abnormal waveforms. 98% of cases showed moderate and severe bilateral hearing loss whereas all controls had only mild bilateral hearing loss.

Discussion

This study showed a significantly higher percentage of abnormal hearing outcome among neonates of diabetic mothers than non diabetic mothers. This could be because of the toxic effects of maternal hyperglycemia on developing auditory system of the fetus. This study emphasis the need for better glycaemic control in diabetic pregnancy, the importance of early and mandatory hearing screening in newborns of diabetic mothers.

The adverse effect of gestational diabetes mellitus and hypertensive disorders of pregnancy on maternal-perinatal outcomes among singleton and twin pregnancies: a retrospective cohort study (2011-2019)

Background

Gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) are the predominant pregnancy complications among singleton and twin pregnancies worldwide. Our primary objective was to explore the adverse effect of GDM and HDP on maternal-perinatal outcomes compared with non-GDM and non-HDP in singleton and twin pregnancies. The secondary objective was to find the risk of adverse maternal-perinatal outcomes in twin pregnancies compared with singleton pregnancies complicated with GDM and HDP in Hubei, China.

Methods

A tertiary hospital-based retrospective study was conducted at Wuhan University Renmin Hospital, Hubei Province, China, from 2011 to 2019. A chi-square test was used to determine the difference in adverse maternal-perinatal outcomes between singleton and twin pregnancies. A multiple binary logistic regression model and a joinpoint regression model were used to determine the association of GDM and HDP with adverse maternal-perinatal outcomes and GDM and HDP temporal trend among singleton and twin pregnancies.

Results

The trend of HDP [average annual percentage change (AAPC) 15.1% (95% confidence interval (95%CI): 5.3, 25.7)] among singleton pregnancies and GDM [AAPC 50.4% (95%CI: 19.9, 88.7)] among twin pregnancies significantly increased from 2011 to 2019. After adjusting for confounding factors, GDM is associated with an increased risk of C-section (adjusted odds ratio (aOR), 1.5; 95%CI: 1.3, 1.6) and macrosomia (aOR, 1.3; 95%CI: 1.1, 1.6) in singleton and preterm birth (PTB) (aOR, 2.1; 95%CI: 1.2, 3.3) in twin pregnancies compared with non-GDM. HDP was associated with a higher risk of C-section, PTB, perinatal mortality, and low birth weight (LBW) in both singleton and twin pregnancies compared with the non-HDP. Compared with singleton pregnancies complicated with GDM and HDP, twin pregnancies showed higher odds of C-section [(aOR, 1.7; 95%CI: 1.1, 2.7), (aOR, 4.6; 95%CI: 2.5, 8.7), respectively], PTB [(aOR, 22.9; 95%CI: 14.1, 37.3), (aOR, 8.1; 95%CI: 5.3, 12.3), respectively], LBW [(aOR, 12.1; 95%CI: 8.2, 18.1), (aOR, 5.1; 95%CI: 3.6, 7.4), respectively], and low Apgar score [(aOR, 8.2; 95%CI: 4.4, 15.1), (aOR, 3.8; 95%CI: 2.4, 5.8), respectively] complicated with GDM and HDP.

Conclusion

In conclusion, GDM showed an increased risk of a few adverse maternal-perinatal outcomes and HDP is associated with a higher risk of several adverse maternal-perinatal outcomes in singleton and twin pregnancies compared to non-GDM and non-HDP. Moreover, twin pregnancies complicated with GDM and HDP showed higher odds of adverse maternal-neonatal outcomes compared with singleton pregnancies complicated with GDM and HDP.

Smoking during pregnancy and gestational diabetes mellitus: a systematic review and meta-analysis

PURPOSE

To investigate whether maternal cigarette smoking during pregnancy is a risk factor for developing GDM.

METHODS

MEDLINE, Scopus, CENTRAL and Google Scholar databases were searched from inception to December 2022 to identify eligible original articles. A systematic review and meta-analysis (weighted data, random-effects model) were performed. The primary outcome was the development of GDM in pregnant women. The results were expressed as odds ratios (OR) with 95% confidence interval (CI) (inverse variance method). Subgroup analysis was planned according to the maternal smoking status and GDM diagnostic criteria. Statistical heterogeneity was checked with the Chi-squared (Chi2) test and the I2 index was used to quantify it. The studies were evaluated for publication bias.

RESULTS

Thirty-five studies, including 23,849,696 pregnant women, met the inclusion criteria. The pooled OR of smoking during pregnancy compared with non-smoking (never smokers and former smokers) was 1.06 (95% CI 0.95-1.19), p = 0.30; I2 = 90%; Chi2 = 344; df=34; p < 0.001. Subgroup analysis was performed according to the two-step Carpenter-Coustan diagnostic criteria, due to the high heterogeneity among the other applied methods. The pooled OR for the Carpenter-Coustan subgroup was 1.19 (95% CI 0.95-1.49), p = 0.12; I2 = 63%; Chi2 = 27; df=10; p < 0.002. Further subgroup analysis according to maternal smoking status was not performed due to missing data.

CONCLUSION

There is no evidence to support an association between maternal cigarette smoking during pregnancy and the risk for GDM. Universally accepted diagnostic criteria for GDM must be adopted to reduce heterogeneity and clarify the association between smoking and GDM.

Association of cumulative social risk and gestational diabetes mellitus in the US, 2007-2018

AIMS

Little is known regarding the association of multiple social risk factors and gestational diabetes mellitus (GDM).

METHODS

We analyzed the 2007-2018 National Health and Nutrition Examination Surveys including 10,439 women aged ≥20 years (8 % with history of GDM). We created a cumulative social risk score (CSR) by adding scores assigned to each of the following: race/ethnicity, citizenship status and country of birth, education, and family income (score of 0 used as reference group). Using logistic regression, we assessed the associations of individual social risk factors (education, income, race/ethnicity and citizenship status) and CSR score with GDM, adjusting for age, parity, insurance status, care access, smoking, diet, physical activity, and body mass index.

RESULTS

Among individual social risk factors, being a non-U.S. citizen (OR:1.51, 95% CI: 1.06-2.15) or belonging to a minority racial/ethnic group (OR:1.30, 95% CI: 1.04-1.59) was significantly associated with a greater odds of GDM. When examining the combined effects of social risk factors, a CSR score ≥3 was associated with an increased odds of GDM (OR:1.64, 95% CI: 1.22-2.1).

CONCLUSIONS

Women with a greater burden of social risk factors are more likely to have GDM, thus should be the focus of interventions to prevent and treat GDM.

Effect of gestational diabetes mellitus on pregnancy outcomes among younger and older women and its additive interaction with advanced maternal age

Background

The prevalence of gestational diabetes mellitus (GDM) and advanced maternal age (AMA, ≥ 35 years) has shown an increasing trend worldwide. This study aimed to evaluate the risk of pregnancy outcomes among younger (20-34 years) and older (≥ 35 years) women with GDM and further analyze the epidemiologic interaction of GDM and AMA on these outcomes.

Methods

This historical cohort study included 105 683 singleton pregnant women aged 20 years or older between January 2012 and December 2015 in China. Stratified by maternal age, the associations between GDM and pregnancy outcomes were analyzed by performing logistic regression. Epidemiologic interactions were assessed by using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (SI) with their 95% confidence intervals (95%CIs).

Results

Among younger women, individuals with GDM had a higher risk of all maternal outcomes, preterm birth (relative risk [RR] 1.67, 95%CI 1.50-1.85), low birthweight (RR 1.24, 95%CI 1.09-1.41), large for gestational age (RR 1.51, 95%CI 1.40-1.63), macrosomia (RR 1.54, 95%CI 1.31-1.79), and fetal distress (RR 1.56, 95%CI 1.37-1.77) than those without GDM. Among older women, GDM increased the risk of gestational hypertension (RR 2.17, 95%CI 1.65-2.83), preeclampsia (RR 2.30, 95%CI 1.81-2.93), polyhydramnios (RR 3.46, 95%CI 2.01-5.96), cesarean delivery (RR 1.18, 95%CI 1.10-1.25), preterm birth (RR 1.35, 95%CI 1.14-1.60), large for gestational age (RR 1.40, 95%CI 1.23-1.60), macrosomia (RR 1.65, 95%CI 1.28-2.14) and fetal distress (RR 1.46, 95%CI 1.12-1.90). Additive interactions of GDM and AMA on polyhydramnios and preeclampsia were found, with RERI of 3.11 (95%CI 0.05-6.16) and 1.43 (95%CI 0.09-2.77), AP of 0.51 (95%CI 0.22-0.80) and 0.27 (95%CI 0.07-0.46), and SI of 2.59 (95%CI 1.17-5.77) and 1.49 (95%CI 1.07-2.07), respectively.

Conclusion

GDM is an independent risk factor for multiple adverse pregnancy outcomes, and may exert additive interactions with AMA on the risk of polyhydramnios and preeclampsia.

Maternal insulin resistance and maternal β-cell function during pregnancy for offspring overweight before 2 years of age among women with gestational diabetes

OBJECTIVE

To explore associations of maternal insulin resistance and β-cell dysfunction with offspring overweight before 24 months of age among children of Chinese women with gestational diabetes mellitus (GDM).

METHODS

Offspring of women with GDM (n = 901) who were enrolled in a lifestyle trial during pregnancy were followed up to 24 months of age in Tianjin, China. Restricted cubic spline analysis was performed to examine full-range associations of maternal homeostatic model assessment of insulin resistance (HOMA-IR) and β-cell function (HOMA-%β) with childhood overweight. Logistic regression was performed to obtain the odds ratios (ORs) and 95% confidence interval (CI) of maternal high HOMA-IR and low HOMA-%β at diagnosis of GDM for offspring overweight within 12 months of age and at 13-24 months of age.

RESULTS

Maternal high HOMA-IR was associated with an increased risk of offspring being overweight within 12 months of age and at 13-24 months of age (OR: 1.71, 95%CI: 1.12-2.62 & 1.89, 1.13-3.17, respectively). Maternal low HOMA-%β was associated with an increased risk of offspring being overweight at 13-24 months of age (1.64, 1.05-2.55).

CONCLUSIONS

Both maternal increased insulin resistance and decreased β-cell function at diagnosis of GDM were associated with elevated risk of offspring overweight in early childhood among Chinese women with GDM.

Parental prepregnancy obesity and offspring overweight before two years of age among Chinese women with gestational diabetes

AIMS

To examine the associations of parental obesity prior to pregnancy with offspring overweight before two years of age among children of Chinese women with gestational diabetes mellitus (GDM).

METHODS

Offspring of women with GDM (n = 774) who were diagnosed in 2010-2012 were followed up to two years of age in Tianjin, China. Multinomial logistic regression was used to obtain odds ratios (ORs) and 95% confidence interval (CI) of maternal and paternal prepregnancy obesity with offspring overweight at < 1, 1-1.5, and 1.5-2 years of age.

RESULTS

Among 774 offspring of women with GDM, 457 (59.0%) of the offspring developed overweight before two years of age. Maternal prepregnancy obesity was associated with increased risk of offspring overweight at 1-1.5 years of age and 1.5-2 years of age (ORs: 1.98, 95%CI: 1.09-3.59 & 2.14, 1.10-4.15, respectively). Paternal prepregnancy obesity was only associated with elevated risk of offspring overweight at 1.5-2 years of age (1.82, 1.08-3.06). Furthermore, copresence of both maternal and paternal obesity prior to pregnancy had an additive effect on the risk of offspring overweight at 1.5-2 years of age (3.73, 1.50-9.27).

CONCLUSIONS

Parental prepregnancy obesity predicted offspring overweight before two years of age among children of Chinese women with GDM.

Factors Influencing Adverse Pregnancy Outcomes in Gestational Diabetes Mellitus

Objective

Analysis of gestational diabetes risk factors and their impact on pregnancy outcomes.

Methods

A retrospective analysis of pregnant women who delivered in the obstetrics ward of a tertiary hospital was performed, and the pregnant women were divided into a case group and a control group according to their compliance with the diagnostic criteria of GDM. The underlying pregnancy, delivery, and pregnancy outcomes of both groups were statistically analyzed.

Results

The detection rate and incidence rate of gestational diabetes were 13.0%, and the incidence rate was 14.5% compared to pregnancy and childbirth complications between the two groups. No statistical differences in placental weight and cord length were found compared to the sex of the newborns by comparing the basic profile of the two groups of perinatal infants. There was no statistical difference between fetal growth restriction and neonatal abnormalities, while there was a statistical difference in neonatal outcomes between the two groups.

Conclusion

Age, family history, and weight are the risk factors for GDM.

Early pregnancy body mass index and gestational weight gain: A mediating or moderating factor for short stature and risk of gestational diabetes mellitus?

This study examined the association between height and the risk of Gestational Diabetes Mellitus (GDM), and whether this association was mediated or moderated by early pregnancy body mass index (BMI) and gestational weight gain (GWG) that are known independent risk factors for GDM. Data of a retrospective cohort of pregnant women (N = 1,945) were extracted from antenatal clinic cards. The cut-off values of height in relation to risk of GDM were identified using receiver operating characteristic analysis and four categories of height were derived: < 150 cm, 150–155 cm, 156–160 cm, and > 160cm. Mediation analysis was performed using the Preacher and Hayes bootstrapping method while the moderation effect was tested with multiple regression analysis with interaction terms. Although there was no mediation effect of BMI and GWG on the association between height and risk of GDM, both factors moderated this association with a significant association between shorter height and risk of GDM was observed in overweight / obese women (height < 150 cm: AOR = 1.41, 95% CI = 1.03–2.44; height 156–160 cm: AOR = 1.48, 95% CI = 1.03–2.14). Overweight / obese women with height < 150 cm and excessive GWG at the end of the second trimester (AOR = 2.25, 95% CI = 1.45–4.17) had significantly higher risk of GDM than those without these factors. Short stature (< 150 cm) was significantly associated with GDM risk among OW/OB women with excessive gestational weight gain at the end of second trimester. This finding underscores the importance of maintaining a healthy BMI during reproductive age and gaining weight in recommended range during pregnancy.

Relationship between gestational body mass index change and the risk of gestational diabetes mellitus: a community-based retrospective study of 41,845 pregnant women

Background

Gestational diabetes mellitus (GDM) is associated with adverse health consequences for women and their offspring. It is associated with maternal body mass index (BMI) and may be associated with gestational weight gain (GWG). But due to the heterogeneity of diagnosis and treatment and the potential effect of GDM treatment on GWG, the association between the two has not been thoroughly clarified. Compared to body weight, BMI has the advantage that it considers height during the whole course of pregnancy. Understanding BMI changes during pregnancy may provide new evidence for the prevention of GDM.

Methods

This study investigated the BMI change of pregnant women based on a retrospective study covering all communities in Tianjin, China. According to the results of GDM screening at 24–28 weeks of gestation, pregnancies were divided into the GDM group and the non-GDM group. We compared gestational BMI change and GWG in the two groups from early pregnancy to GDM screening. GWG was evaluated according to the IOM guidelines. Logistic regression was applied to determine the significance of variables with GDM.

Results

A total of 41,845 pregnant women were included in the final analysis (GDM group, n = 4257 vs. non-GDM group, n = 37,588). BMI gain has no significant differences between the GDM and non-GDM groups at any early pregnancy BMI categories (each of 2 kg/m²), as well as weight gain (P > 0.05). Early pregnancy BMI was a risk factor for GDM (OR 1.131, 95% CI 1.122–1.139). And BMI gain was associated with a decreased risk of GDM in unadjusted univariate analysis (OR 0.895, 95% CI 0.869–0.922). After adjusting on early pregnancy BMI and other confounding factors, the effect of BMI gain was no longer significant (AOR 1.029, 95% CI 0.999–1.061), as well as weight gain (AOR 1.006, 95% CI 0.995–1.018) and GWG categories (insufficient: AOR 1.016, 95% CI 0.911–1.133; excessive: AOR 1.044, 95% CI 0.957–1.138).

Conclusions

BMI in early pregnancy was a risk factor for GDM, while BMI gain before GDM screening was not associated with the risk of GDM. Therefore, the optimal BMI in early pregnancy is the key to preventing GDM.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04672-5.

Risk of Gestational Diabetes Due to Maternal and Partner Smoking

Pregnant women are among the most vulnerable to environmental exposure to tobacco smoke (EET); which has been linked to problems in the mothers’ health; one of the most frequent is gestational diabetes (GD). For this reason, there are specific interventions and prevention strategies designed to reduce this exposure risk. However, currently, they are mostly aimed only at aiding the pregnant women with smoking cessation during pregnancy and do not assess or address the risk from passive exposure due to partner smoking. The aim of this work is to study the exposure to EET of pregnant women considering active and passive smoking and to evaluate its effect on the development of GD. This is an observational case-control study within a retrospective cohort of pregnant women. Information on smoking habits was obtained from both personal interviews and recorded medical history. In total, 16.2% of mothers and 28.3% of partners declared having been active smokers during pregnancy; 36.5% of the women presented EET during pregnancy when both active and passive smoking were considered. After adjustments, the association with the EET and GD of the mother was (aOR 1.10 95% CI: 0.64–1.92); for the EET of the partner, it was (aOR 1.66 95% CI: 1.01–2.77); for both partners, it was (aOR 1.82 95% CI: 1.15–2.89), adjusted by the mother’s age and body mass index. There is a lack of education regarding the effects of passive exposure to tobacco smoke. It is essential that pregnant women and their partners are educated on the risks of active and passive smoking; this could improve the effectiveness of other GD prevention strategies.

The prevalence of gestational diabetes mellitus before and after the implementation of the universal two-child policy in China

BACKGROUND

After the universal two-child policy has been fully implemented, challenges regarding pregnancy complications seemed to be more severe in China. This study aimed to evaluate the prevalence of gestational diabetes mellitus (GDM) and the main risk factors for GDM before and after the implementation of the universal two-child policy in China.

METHODS

A retrospective study was performed with 128,270 pregnant women who delivered at Ningbo Women & Children's Hospital from January 2010 to December 2020. Univariate and multivariate logistic regression analysis was applied to estimate the risk factors associated with GDM prevalence. Segmented regression analyses of interrupted time series (ITS) were conducted to assess the effect of the universal two-child policy on the trends of GDM.

RESULTS

The prevalence of GDM increased remarkably from 4% in 2010 to 21% in 2020. ITS analysis presented that the prevalence of GDM increased by 0.190% (β1) per month from 2010 to 2016 (P<0.05), and by 0.044% (β1+β3) per month after the implementation of the universal two-child policy; the rate of elevation of GDM slowed down significantly (β3=-0.146, P=0.004). Advanced maternal age (>30 years), multigravidity, multiparity, multiple gestation and gestational hypertension were significantly associated with GDM. Advanced age remained an independent risk factor for GDM even after cross stratification with gravidity and parity. The proportion of women with advanced maternal age (>30 years) increased by 0.161% per month before the implementation of the universal two-child policy and increased by 5.25% during the policy took effect month, and gradually increased by 0.124% (β1+β3) per month after then.

CONCLUSIONS

The prevalence of GDM has sharply increased in the past decade. The growth rate of GDM slowed down after the implementation of the universal two-child policy in China, but the rate would maintain at a high plateau. The rise in the proportion of older pregnant women could increase the GDM rate. We recommend having children at a relatively optimal reproductive age when encouraging childbearing.

Usefulness of cut-off points of International criteria for prediction of post-partum diabetes and prediabetes among Chinese women with gestational diabetes

AIMS

This study tests whether cut-off points of the International Association of Diabetes and Pregnancy Study Group's (IADPSG) criteria had threshold effects on post-partum prediabetes and diabetes among Chinese pregnant women with gestational diabetes mellitus (GDM).

MATERIALS AND METHODS

A total of 507 out of 1000 women with GDM (948 of them enrolled in a lifestyle trial during pregnancy) turned up for the follow-up study and underwent a 75-g 2-h oral glucose tolerance test. GDM was diagnosed based on the IADPSG's criteria while post-partum diabetes and prediabetes were defined by the World Health Organization's. Generalized logit model was used to obtain odds ratios (OR) and 95% confidence interval (CI) of fasting, 1-h and 2-h plasma glucoses (PGs) for post-partum diabetes and prediabetes. Restricted cubic spline was used to identify any threshold effects.

RESULTS

At a median of 9.1 weeks post-partum, 3.7% (n = 19) women developed post-partum diabetes and 35.1% (n = 178) developed post-partum prediabetes. Fasting PG ≥ 5.1 mmol/L was associated with markedly increased risk of post-partum diabetes without a discernible threshold (adjusted OR: 3.87, 95% CI: 1.03-14.52) while 2-h PG ≥ 8.5 and ≥ 9.0 mmol/L had threshold effects on post-partum prediabetes (2.10, 1.33-3.30) and diabetes (4.02, 1.04-15.56). The 1-h PG also had a threshold at ≥10.0 mmol/L for prediabetes (1.67, 1.06-2.64), but it was not significant for post-partum diabetes.

CONCLUSIONS

Among Chinese women with GDM, fasting PG ≥ 5.1 mmol/L was associated with post-partum diabetes without any discernible threshold effects while 2-h PG ≥ 8.5 and ≥ 9.0 mmol/L respectively identified women at high risk of post-partum prediabetes and diabetes.

Physical activity and sleep duration during pregnancy have interactive effects on caesarean delivery: a population-based cohort study in Tianjin, China

Background

There were inconsistent findings in the literature regarding the associations of physical activity and sleep duration during pregnancy with caesarean delivery for different reasons. It was also unknown whether physical activity and sleep duration during pregnancy had interactive effects on the risks of different types of caesarean delivery. The study aimed to investigate the effects of physical activity, sleep duration and their interactions on the risk of caesarean delivery for medical reasons and non-medical reasons.

Methods

From October 2010 to August 2012, a prospective population-based cohort of 13,015 pregnant women was established in six central urban districts of Tianjin, China. Pregnancy outcomes were retrieved from an electronic database and caesarean delivery was divided into caesarean delivery for medical reasons and caesarean delivery for non-medical reasons. Physical activity and sleep status were collected at 24–28 weeks of gestation using self-reported questionnaires. Logistic regression and additive interaction were used to examine physical activity, sleep duration and their interactive effects on risk of caesarean delivery.

Results

In the cohort, 5692 (43.7%) and 2641 (20.3%) of women had caesarean delivery for medical reasons and non-medical reasons, respectively. Low physical activity increased the risk of caesarean delivery for medical reasons (adjusted OR: 1.13, 95%CI 1.04–1.23) but not caesarean delivery for non-medical reasons. Sleep duration < 7 h/day and poor sleep quality were not associated with caesarean delivery. Sleep duration ≥9 h/day increased the risk of caesarean delivery for medical reasons (1.12, 1.02–1.22) and caesarean delivery for non-medical reasons (1.16, 1.05–1.29). Co-presence of low physical activity and sleep duration ≥9 h/day increased risk of caesarean delivery (1.25, 1.12–1.41), and their additive interaction was statistically significant for caesarean delivery for medical reasons but not for caesarean delivery for non-medical reasons.

Conclusions

Low physical activity and excessive sleep duration during pregnancy each increased the risk of caesarean delivery, and they had an interactive effect on the risk of caesarean delivery for medical reasons but not on the risk of caesarean delivery for non-medical reasons. Increasing physical activity and maintaining recommended sleep duration during pregnancy may have benefits for perinatal health.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-021-03788-4.

Trends in prevalence of gestational diabetes mellitus in Zhejiang Province, China, 2016-2018

Background

Limited population-based studies have investigated the secular trend of prevalence of gestational diabetes mellitus (GDM) in mainland China. Therefore, this study aimed to estimate the prevalence of GDM and time trends in Chinese female population.

Methods

Based on Diabetes Surveillance System of Zhejiang Province, 97,063 diagnosed GDM cases aged 20–50 years were identified from January 1, 2016 to December 31, 2018. Annual prevalence, prevalence rate ratios (PRRs) and average annual percentage change with their 95% confidence intervals (CIs) were reported.

Results

The age-standardized overall prevalence of GDM was reported to be 7.30% (95% CI 7.27–7.33%); 9.13% (95% CI 9.07–9.19%) in urban areas and 6.24% (95% CI 6.21–6.27%) in rural areas. Compared with 20–24 years age group, women in advanced age groups (25–50 years) were at higher risk for GDM (PRRs ranged from 1.37 to 8.95 and the 95% CIs did not include the null). Compared with rural areas, the risk for GDM was higher in urban areas (PRR: 1.69, 95% CI 1.67–1.72). The standardized annual prevalence increased from 6.02% in 2016 to 7.94% in 2018, with an average annual increase of 5.48%, and grew more rapidly in rural than urban areas (11.28% vs. 0.00%).

Conclusions

This study suggested a significant increase in the prevalence of GDM among Chinese female population in Zhejiang province during 2016–2018, especially in women characterized by advanced age and rural areas.

Prevalence, Prevention, and Lifestyle Intervention of Gestational Diabetes Mellitus in China

Gestational diabetes mellitus (GDM) has become an epidemic and has caused a tremendous healthy and economic burden in China, especially after the "two-child policy" put into effect on October 2015. The prevalence of GDM has continued to increase during the past few decades and is likely to see a further rise in the future. The public health impact of GDM is becoming more apparent in China and it might lead to the development of chronic non-communicable diseases in the long-term for both mothers and their children. Early identification of high-risk individuals could help to take preventive and intervention measures to reduce the risk of GDM and adverse perinatal outcomes. Therefore, a focus on prevention and intervention of GDM in China is of great importance. Lifestyle interventions, including dietary and physical exercise intervention, are effective and first-line preventive strategies for GDM prevention and intervention. The GDM One-day Care Clinic established in 2011, which educates GDM patients on the basic knowledge of GDM, dietary intervention, physical exercise, weight management, and blood glucose self-monitoring methods, sets a good model for group management of GDM and has been implemented throughout the hospitals as well as maternal and child health centers in China. The current review focus on the prevalence, risk factors, as well as prevention and lifestyle intervention of GDM in China for better understanding of the latest epidemiology of GDM in China and help to improve maternal and neonatal pregnancy outcomes and promote long-term health for women with GDM.

Impacts of gestational diabetes on quality of life in Chinese pregnant women in urban Tianjin, China

AIMS

This study aimed to examine impacts of gestational diabetes mellitus (GDM) on quality of life (QoL) domains in Chinese pregnant women.

METHODS

We recruited 13,358 pregnant women in Tianjin, China. GDM was diagnosed using the criteria of International Association of Diabetes and Pregnancy Study Group. QoL was measured using the 36-Item Short-Form Health Survey. General linear model was used to obtain β-coefficient and 95% confidence intervals (CI) of GDM for QoL domain and summary scores.

RESULTS

7.25% of the pregnant women developed GDM. Among the QoL domain and summary scores, only general health (GH) score was lower in the GDM group than in the non-GDM group. GDM and advanced maternal age (i.e., ≥ versus <30 years) were negatively associated with GH in multivariable analyses (β-coefficient: -1.17, 95%CI: -2.17 to -0.17 & -0.79, -1.40 to -0.18, respectively). In subgroup analyses, the β-coefficient of GDM for GH among women with maternal age ≥30 years was enhanced to -2.17 (-3.94 to -0.40) in multivariable analysis while the β-coefficient of GDM for GH among women aged <30 years was attenuated to non-significance.

CONCLUSIONS

GDM and advanced maternal age were associated with reducing GH, and presence of advanced maternal age markedly increased the effect of GDM on GH.

Prevalence and associated factors of gestational diabetes mellitus among rural pregnant women in southern Tanzania

INTRODUCTION

Gestational diabetes mellitus (GDM) is a potential risk factor for both maternal and foetal complications during pregnancy. This study aimed to determine the prevalence and factors associated with GDM among pregnant women in Southern Tanzania.

METHODS

A cross-sectional study was conducted among 612 randomly selected pregnant women attending routine antenatal clinics in Southern Tanzania from September to October 2017. Detailed medical and gynaecological history was taken using pre-tested questionnaires. Blood samples were collected for fasting and oral glucose tolerance tests. We diagnosed GDM using the World Health Organization 2013 diagnostic criteria for diabetes mellitus. We performed statistical analysis using SPSS v24.0. Possible associations and statistical significance were measured using odds ratio at 95% confidence interval, and p-values of <0.05 were considered statistically significant.

RESULTS

The mean age and standard deviation of the study subjects was 24.5±6.9 years. The prevalence of GDM was 4.3%. GDM was significantly associated with: being overweight or obese (p<0.001), past history of pre-term delivery (p<0.001), past history of stillbirths (p<0.001), history of macrosmia (p<0.001), alcohol consumption (p=0.001), and having a first degree relative with diabetes mellitus (p<0.001).

CONCLUSION

Prevalence of Gestational Diabetes Mellitus is low in this study setting. We recommend close attention to at risk women to prevent development of GDM.

FUNDING

None declared.

Development and validation of an early pregnancy risk score for the prediction of gestational diabetes mellitus in Chinese pregnant women

OBJECTIVE

To develop and validate a set of risk scores for the prediction of gestational diabetes mellitus (GDM) before the 15th gestational week using an established population-based prospective cohort.

METHODS

From October 2010 to August 2012, 19 331 eligible pregnant women were registered in the three-tiered antenatal care network in Tianjin, China, to receive their antenatal care and a two-step GDM screening. The whole dataset was randomly divided into a training dataset (for development of the risk score) and a test dataset (for validation of performance of the risk score). Logistic regression was performed to obtain coefficients of selected predictors for GDM in the training dataset. Calibration was estimated using Hosmer-Lemeshow test, while discrimination was checked using area under the receiver operating characteristic curve (AUC) in the test dataset.

RESULTS

In the training dataset (total=12 887, GDM=979 or 7.6%), two risk scores were developed, one only including predictors collected at the first antenatal care visit for early prediction of GDM, like maternal age, body mass index, height, family history of diabetes, systolic blood pressure, and alanine aminotransferase; and the other also including predictors collected during pregnancy, that is, at the time of GDM screening, like physical activity, sitting time at home, passive smoking, and weight gain, for maximum performance. In the test dataset (total=6444, GDM=506 or 7.9%), the calibrations of both risk scores were acceptable (both p for Hosmer-Lemeshow test >0.25). The AUCs of the first and second risk scores were 0.710 (95% CI: 0.680 to 0.741) and 0.712 (95% CI: 0.682 to 0.743), respectively (p for difference: 0.9273).

CONCLUSION

Both developed risk scores had adequate performance for the prediction of GDM in Chinese pregnant women in Tianjin, China. Further validations are needed to evaluate their performance in other populations and using different methods to identify GDM cases.

Effects of gestational diabetes mellitus on risk of adverse maternal outcomes: a prospective cohort study in Northwest Ethiopia

Background

Gestational diabetes mellitus is a leading medical condition woman encounter during pregnancy with serious short- and long-term consequences for maternal morbidity. However, limited evidence was available on potential impacts of gestational diabetes mellitus using updated international diagnostic criteria on adverse maternal outcomes. Therefore, this study aimed to assess the effects of gestational diabetes mellitus on the risk of adverse maternal outcomes in Northwest Ethiopia.

Methods

A prospective cohort study was conducted among pregnant women followed from pregnancy to delivery. Gestational diabetes mellitus status was determined by using a two-hour 75 g oral glucose tolerance test and based on updated international diagnostic criteria. Multivariable log-binomial model was used to examine the effects of gestational diabetes mellitus on the risk of adverse maternal outcomes.

Results

A total of 694 women completed the follow-up and included in the analysis. Women with gestational diabetes mellitus had a higher risk of composite adverse maternal outcome (ARR=1.58, 95% CI: 1.22, 2.04), caesarean delivery (ARR=1.67; 95%: 1.15, 2.44), pregnancy induced hypertension (ARR= 3.32; 95%: 1.55, 7.11), premature rupture of membranes (ARR= 1.83; 95%: 1.02, 3.27), antepartum hemorrhage (ARR= 2.10; 95%: 1.11, 3.98) and postpartum hemorrhage (ARR= 4.85; 95%:2.28, 10.30) compared to women without gestational diabetes mellitus.

Conclusions

Gestational diabetes mellitus increased the risk of adverse maternal outcomes. This implies that maternal care and intervention strategies relating to women with gestational diabetes mellitus should be strengthened.

A novel association of CCDC80 with gestational diabetes mellitus in pregnant women: a propensity score analysis from a case-control study

Background

Gestational diabetes mellitus (GDM) is a growing global epidemic. Our study aims to confirm the association between circulatory coiled-coil domain-containing 80 (CCDC80) in pregnant women with GDM, to investigate the discriminatory power of CCDC80 on GDM, and to explore the relationships between this molecular level and clinical cardiometabolic parameters.

Methods

A 1:2 matched case-control study with 61 GDM patients and 122 controls was conducted using a propensity score matching protocol. All participants were screened from a multicenter prospective pre-birth cohort: Born in Shenyang Cohort Study (BISCS). During 24 and 28 weeks of gestation, follow-up individuals underwent an oral glucose tolerance test (OGTT) and blood sampling for cardiometabolic characterization.

Results

Following propensity score matching adjustment for clinical variables, including maternal age, gestational age, body mass index, SBP and DBP, plasma CCDC80 levels were significantly decreased in patients with GDM when compared with controls (0.25 ± 0.10 vs. 0.31 ± 0.12 ng/ml, P = 0.003). Conditional multi-logistic regression analyses after adjustments for potential confounding factors revealed that CCDC80 was a strong and independent protective factor for GDM (ORs < 1). In addition, the results of the ROC analysis indicated the CCDC80 exhibited the capability to identify pregnant women with GDM (AUC = 0.633). Finally, multivariate regression analyses showed that CCDC80 levels were positively associated with AST, monoamine oxidase, complement C1q, LDL-C, apolipoprotein A1and B, and negatively associated with blood glucose levels at 1 h post- OGTT.

Conclusions

Biomarker CCDC80 could be of great value for the development of prediction, diagnosis and therapeutic strategies against GDM in pregnant women.

Trimethylamine N-Oxide Metabolites in Early Pregnancy and Risk of Gestational Diabetes: A Nested Case-Control Study

OBJECTIVES

This study aimed to investigate the associations between trimethylamine N-oxide (TMAO) and related metabolites in early pregnancy and the risk of gestational diabetes mellitus (GDM).

DESIGN

A prospective cohort of 22,302 pregnant women from 2010 to 2012 in Tianjin, China, was used to perform a nested case-control study. A total of 243 women with GDM and 243 women without GDM matched by maternal age (±1 year) were used as cases and controls, respectively. Conditional logistic regression and restricted cubic spline were used to examine the full-range risk associations between individual TMAOs metabolites at the first antenatal care visit with GDM. Trimethylamine conversion ratio (TMAR) was defined as trimethylamine (TMA)/its precursors, and trimethylamine N-oxide conversion ratio (TMAOR) was defined as TMAO/TMA. An additive interaction between high TMAR and low TMAOR indicates a state of TMA accumulation, and a mathematical interaction between high TMAR and high TMAOR indicates accumulation of TMAO.

RESULTS

TMA was linearly associated with GDM, whereas TMA precursors and TMAO were inversely associated with GDM with clear threshold effects, i.e., 16 nmol/mL for TMAO, 200 nmol/mL for betaine, 112 nmol/mL for l-carnitine, and 110 and 270 nmol/mL for cholinechloride (a U-shaped relationship). Copresence of TMAR >0.35 and TMAOR ≤0.15 was associated with a markedly higher OR (11.16; 95% CI, 5.45 to 22.8), compared with TMAR >0.35 only (OR = 1.71; 95% CI, 0.42 to 6.95) or TMAOR ≤0.15 only (OR = 2.06; 95% CI, 1.09 to 3.90), with a significant additive interaction. However, the mathematical interaction was nonsignificant.

CONCLUSIONS

TMAO metabolites in the early pregnancy were associated with the risk of GDM, whereas TMA was more likely to play a causal role in GDM.

High, but stable, trend in the prevalence of gestational diabetes mellitus: A population-based study in Xiamen, China

AIMS/INTRODUCTION

Diabetes prevalence in China has increased, but the trend in gestational diabetes mellitus prevalence is unclear. The objective of the present study was to examine the prevalence of gestational diabetes in Xiamen, China, and its association with maternal risk factors.

MATERIALS AND METHODS

This linked-database cohort study used the Medical Birth Registry of Xiamen. Between 1 March 2011 and 30 March 2018, 78,572 women who were diagnosed with gestational diabetes mellitus (GDM) were enrolled in the study. Maternal factors associated with the prevalence of GDM were examined using multivariate logistic regression.

RESULTS

A total of 13,738 (17.6%) pregnant women were diagnosed with GDM according to the International Association of Diabetes and Pregnancy Study Groups criteria. GDM prevalence ranged from 15.5% (2012) to 19.9% (2017). Increasing age was associated with GDM; women aged >40 years versus those aged >25 years had an adjusted odds ratio (OR) of 5.91 (95% confidence interval [CI] 4.202-8.314). A positive correlation was observed between weight and GDM risk; obese women versus normal-weight women had an adjusted OR of 2.508 (95% CI 2.253-2.792). Family history of diabetes and hypertension were more commonly observed among women with GDM. Multivariate analysis showed that family history of diabetes (OR 1.101, 90% CI 1.028-1.180), weight gain during early pregnancy (OR 1.087, 90% CI 1.052-1.124) and systolic blood pressure (OR 1.015, 90% CI 1.011-1.020) were risk factors associated with GDM incidence.

CONCLUSIONS

GDM affects 17.6% of all pregnant women in Xiamen. Age and maternal obesity were major contributors to GDM. The trend of GDM risk remained stable during the study.

Maternal height and risk of gestational diabetes: a systematic review and meta-analysis

AIMS

Identifying women at high risk of developing gestational diabetes mellitus (GDM) is a public health interest. This study aims to investigate the association between maternal height and risk of GDM through meta-analysis.

METHODS

We retrieved the studies that assessed maternal height in relation to GDM. Pooled risk estimates of the included articles and their 95% confidence intervals (95% CIs) were calculated using a fixed- or random-effects model. Subgroup analyses were conducted according to study design and study location. Quality of studies was determined using the Newcastle-Ottawa Scale. Publication bias was detected using the Egger's and Begg's tests.

RESULTS

A total of 10 studies including 7 cohort and 3 cross-sectional studies with a total of 126,094 women were included for meta-analysis. Combined, each 5-cm increase in height was associated with about 20% reduction in risk of GDM [pooled odds ratio = 0.80, (95% CI 0.76, 0.85)]. The analysis revealed high heterogeneity between studies which dissolved after subgroup analysis by study design. This significant association did not differ between Asian and non-Asian populations. Egger's and Begg's tests showed little evidence of publication bias.

CONCLUSIONS

The present meta-analysis supports the conception that short stature is associated with GDM. Further studies of high quality are needed to confirm the findings.

Association between maternal education level and gestational diabetes mellitus: a meta-analysis

Aims: The association between maternal education and gestational diabetes mellitus (GDM) has been discussed in considerable studies, yet the inconsistent findings still exist. The aim of this study is to investigate whether maternal education level is associated with GDM risk.Material and methods: PubMed, ScienceDirect, and Cochrane Library databases were searched up to October 2018. Observational studies on the association between maternal education level and GDM risk were included. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) for highest versus lowest level of maternal education were estimated using a random-effects model.Results: As compared to lowest education level, the pooled OR for women with highest education level was 0.75 (95% CI: 0.53-1.05). After adjusting for body mass index (BMI) and family history of diabetes, the estimated effect of maternal education on GDM were 0.68 (95% CI: 0.57-0.80) and 0.75 (95% CI: 0.60-0.92), respectively.Conclusions: Our results indicate that there is no significant association between maternal education level and risk of GDM.

The effect of prepregnancy body mass index on the risk of gestational diabetes mellitus: A systematic review and dose-response meta-analysis

This study was conducted to investigate the effect of the prepregnancy BMI on the risk of gestational diabetes mellitus (GDM). Five electronic databases, including PubMed, Scopus, Embase, Web of Science, and Google Scholar, were searched for literature published until 1 January 2018. The two-stage, random effect meta-analysis was performed to compare the dose-response relationship between BMI and GDM. As well as studies with categorized BMI, studies that treat BMI as a continuous variable were analysed. A total of 33 observational studies with an overall sample size of 962 966 women and 42 211 patients with GDM were included in analysis. The pooled estimate of GDM risk in the underweight, overweight, and obese pregnant women was 0.68, 2.01, and 3.98 using the adjusted OR and 0.34, 1.52, and 2.24 using the adjusted RR. The GDM risk increased 4% per unit of increase in BMI with both the crude and adjusted OR/RR models. Also, the risk of GDM increased 19% with the crude model and 14% with the adjusted model. The existence of dose-response relationship between the pre-pregnancy BMI and GDM can strengthen the scientific background for vigorous public health interventions for the control of pre-pregnancy BMI as well as the weight gain during pregnancy.

Gestational diabetes risk factors and long-term consequences for both mother and offspring: a literature review

INTRODUCTION

Established risk factors for gestational diabetes mellitus (GDM) include ethnicity, obesity, and family history of diabetes. Untreated GDM patients have higher rates of maternal and perinatal morbidity. GDM is an independent risk factor for future longer-term risk of type 2 diabetes mellitus (T2DM), metabolic syndrome, cardiovascular morbidity, malignancies, ophthalmic, psychiatric, and renal disease in the mother. Offspring risk long-term adverse health outcomes, including T2DM, subsequent obesity, impacted neurodevelopmental outcome, increased neuropsychiatric morbidity, and ophthalmic disease.

AREAS COVERED

We critically review data from retrospective, prospective, and meta-analysis studies pertaining to established GDM risk factors, complications during pregnancy and birth (both mother and offspring), and long-term consequences (both mother and offspring).

EXPERT COMMENTARY

Many of the adverse consequences of GDM might be avoided with proper management and treatment. Patients belonging to high-risk ethnic groups, and/or with body mass index ≥ 25 kg/m², and/or known history of diabetes in first-degree relatives may benefit from universal screening and diagnostic criteria proposed by the International Association of Diabetes and Pregnancy Study Group (IADPSG). The IADPSG one-step method has several advantages, including simplicity of execution, greater patient-friendliness, and higher diagnostic accuracy. Additionally, evidence suggests that the recent increased popularity of bariatric surgery will help to decrease GDM rates over next 5 years. Similarly, metformin may be useful for treating and preventing obstetrical complications in confirmed GDM patients.

Roles of insulin resistance and beta cell dysfunction in macrosomia among Chinese women with gestational diabetes mellitus

AIMS

The aim was to examine associations of insulin resistance and beta cell dysfunction with macrosomia in Chinese women with gestational diabetes mellitus (GDM).

METHODS

We performed a secondary analysis of 923 women with GDM enrolled in a randomized controlled trial in 2010-2012 in Tianjin, China. Insulin resistance and beta-cell function were estimated using Homeostasis model assessment. Binary logistic regression was used to obtain adjusted odds ratios (ORs) and 95% confidence intervals (CIs). A two-step adjustment scheme was used to control for effects of potential confounders.

RESULTS

A total of 138 women (16.5%) had excessive weight gain, 127 (7.3%) had macrosomia and 150 (16.3%) had a large for gestational age (LGA) infant. Compared to women in bottom tertile of insulin resistance, women in upper tertile had increased risk of excessive weight gain (OR: 4.32, 95%CI: 1.95-9.62), macrosomia and LGA (OR: 2.61, 95%CI: 1.20-5.69; 2.75, 95%CI: 1.35-5.62, respectively). The observed overall effects were mainly due to their large effect sizes among women with normal pre-pregnancy body weight. However, beta cell function was not found to be associated with either of them.

CONCLUSIONS

Increased insulin resistance during pregnancy was associated with excessive weight gain, macrosomia and LGA in Chinese women with GDM.

Gestational diabetes mellitus risk score: A practical tool to predict gestational diabetes mellitus risk in Tanzania

BACKGROUND

Universal screening for hyperglycemia during pregnancy may be in-practical in resource constrained countries. Therefore, the aim of this study was to develop a simple, non-invasive practical tool to predict undiagnosed Gestational diabetes mellitus (GDM) in Tanzania.

METHODS

We used cross-sectional data of 609 pregnant women, without known diabetes, collected in six health facilities from Dar es Salaam city (urban). Women underwent screening for GDM during ante-natal clinics visit. Smoking habit, alcohol consumption, pre-existing hypertension, birth weight of the previous child, high parity, gravida, previous caesarean section, age, MUAC ≥ 28 cm, previous stillbirth, haemoglobin level, gestational age (weeks), family history of type 2 diabetes, intake of sweetened drinks (soda), physical activity, vegetables and fruits consumption were considered as important predictors for GDM. Multivariate logistic regression modelling was used to create the prediction model, using a cut-off value of 2.5 to minimise the number of undiagnosed GDM (false negatives).

RESULTS

Mid-upper arm circumference (MUAC) ≥ 28 cm, previous stillbirth, and family history of type 2 diabetes were identified as significant risk factors of GDM with a sensitivity, specificity, positive predictive value, and negative predictive value of 69%, 53%, 12% and 95%, respectively. Moreover, the inclusion of these three predictors resulted in an area under the curve (AUC) of 0.64 (0.56-0.72), indicating that the current tool correctly classifies 64% of high risk individuals.

CONCLUSION

The findings of this study indicate that MUAC, previous stillbirth, and family history of type 2 diabetes significantly predict GDM development in this Tanzanian population. However, the developed non-invasive practical tool to predict undiagnosed GDM only identified 6 out of 10 individuals at risk of developing GDM. Thus, further development of the tool is warranted, for instance by testing the impact of other known risk factors such as maternal age, pre-pregnancy BMI, hypertension during or before pregnancy and pregnancy weight gain.

Indicators of socio-economic status and risk of gestational diabetes mellitus in pregnant women in urban Tianjin, China

AIMS

To examine associations between the indicators of socio-economic status (SES) and gestational diabetes mellitus (GDM).

METHODS

From 2010 to 2012, 17 659 women underwent glucose challenge test (GCT) and oral glucose tolerance test if GCT ≥ 7.8 mmol/L at 24-28 gestational weeks in 6 urban districts of Tianjin, China. Binary logistic regression was used to obtain adjusted odds ratio (OR) of SES for GDM, as defined by education attainment and family monthly income.

RESULTS

A total of 1264 women (7.2%) were found to have GDM. If the women with low-middle income and high school or below used as the reference group, the middle-high income group and the high income group were associated with decreased risks of GDM (OR: 0.85, 95%CI: 0.71-1.00 & 0.80, 0.65-0.98) while tertiary education attainment was associated with decreased risk of GDM (0.75, 0.58-0.97). Women with higher income and/or higher education attainment tended to have a decreased risk of GDM (P for trend: 0.0105). All these significant ORs were attenuated to be non-significant by adjustment for pre-pregnancy body mass index (BMI), but not by adjustment for gestational weight gain (GWG).

CONCLUSIONS

In urban Tianjin, indicators of high SES were associated with decreased risk of GDM via decreased pre-pregnancy BMI.

Bile acid metabolites in early pregnancy and risk of gestational diabetes in Chinese women: A nested case-control study

Background

Bile acid metabolism plays an important role in metabolism but it is uncertain whether bile acid metabolites in early pregnancy are associated with risk of gestational diabetes mellitus (GDM).

Methods

We organized a 1:1 case-control study nested in a prospective cohort of 22,302 pregnant women recruited from 2010 to 2012 in China: 243 women with GDM were matched with 243 non-GDM controls on age (±1 year). Conditional logistic regression and restricted cubic spline were used to examine full-range associations of bile acid metabolites with GDM.

Findings

All the 9 detectable bile acids were inversely associated with the risk of GDM, among them, 8 in nonlinear and one in largely linear manners in multivariable analysis. Glycoursodeoxycholic acid (GUDCA) at ≤0.07 nmol/mL and deoxycholic acid (DCA) at ≤0.28 nmol/mL had threshold effects and their decreasing levels below the cutoff points were associated with rapid rises in the risk of GDM. In traditional risk factor model, the stepwise procedure identified that GUDCA ≤ 0.07 nmol/mL and DCA ≤ 0.280 nmol/mL were still significant (OR: 6.84, 95%CI: 1.10–42.48 & 2.06, 1.26–3.37), while other bile acids were not. Inclusion of the two bile acids in the model increased the area under operating characteristic's curve from 0.69 to 0.76 (95% CI: 0.71–0.80) (P < .05).

Interpretation

Serum GUDCA ≤ 0.07 nmol/mL and DCA ≤ 0.28 nmol/mL in early pregnancy were independently associated with increased risk of GDM in Chinese pregnant women.

Funding

Talent Recruitment Scheme grant of Tianjin Medical University and National Key Research and Development Program, etc.

PECULIARITIES OF THE COURSE OF GESTATION AND PREGNANCY OUTCOMES IN WOMEN WITH GESTATIONAL DIABETES MELLITUS

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with high frequency of obstetric complications, such as gestosis, polyhydramnios, urogenital infection, premature birth. An increase in the number of cases of detection of GDM in pregnant women living in Kazakhstan is noted recently.

OBJECTIVE

This research was carried out in order to see the influence of GDM on the course of the third trimester of pregnancy, outcomes and fetal status in women of Kazakh ethnic group.

RESEARCH DESIGN

Cohort observational study.

SUBJECTS AND METHODS

The main group of research consisted of 61 pregnant women with GDM (Meanage= 32.8±6.314), the control group included 39 pregnant women with normal glucose tolerance (Meanage=30±5.432 years). The pregnant women in both groups were examined by calculation of body mass index (BMI), determination of fasting plasma glucose and the system of hemostasis. Also, the fetal ultrasound was implemented and the uterine-placental, fetal-placental blood flow were evaluated using the Doppler mode.

RESULTS

In the main group initial BMI was equal to Mean=31.1±7.433 kg/m2; we revealed manifestation of gestational hypertension in 36.1%, 95%CI (2.52, 48.6); preeclampsia was diagnosed in 14.8% (95%CI (8; 25.7); the disorders of uteroplacental and fetoplacental blood flow recorded significantly more frequently in main group RR=6.393, 95%CI (1.581-25.840), like the diabetic fetopathy RR=5.115, 95%CI (1.240-21.033). The premature delivery, the prevalence of induction of delivery and intranatal trauma were significantly more frequent in women with GDM.

CONCLUSIONS

GDM significantly worsens course of gestation.

Maternal Early Pregnancy Plasma Concentration of 25-Hydroxyvitamin D and Risk of Gestational Diabetes Mellitus

We examined whether 25-Hydroxyvitamin D [25(OH) D] concentrations, measured at the first prenatal visit, would be associated with risk of gestational diabetes mellitus (GDM). From July 2015 to June 2016, consecutive women who admitted to the two-obstetrics center in china were included. Relevant data were collected between 24 and 28 weeks of gestation, including fasting plasma glucose (FPG) and 25(OH) D concentrations at the first prenatal visit and the one-step GDM screened with 75-g oral glucose tolerance test (OGTT). Blood from women at first prenatal visit was available for 827 women and 101 of them developed GDM (12.2%). The GDM distribution across the 25(OH) D quartiles ranged between 3.9% (fourth quartile, Q4) and 26.1% (first quartile, Q1). The median plasma concentration of 25(OH) D at first prenatal visit was significantly lower in women who developed GDM compared with those not developed (p < 0.001). In multivariate models comparing the 25(OH) D of Q1, second (Q2) and third quartiles (Q3) against the Q4, it observed that concentrations of 25(OH) D in Q1 and Q2 were associated with later developed GDM, and risk of GDM was increased by 240 and 48%, respectively. The women group with combined vitamin D deficiency and obesity had an OR of 4.66 [95% CI (2.91-8.15); p < 0.001] for GDM compared to those without vitamin D deficiency and obesity. Low 25(OH) D concentrations at the first prenatal visit were associated with increased risk of GDM and might be useful in identifying women at risk of GDM for performing early prevention strategies.

Short Body Height and Pre-pregnancy Overweight for Increased Risk of Gestational Diabetes Mellitus: A Population-Based Cohort Study

Background: Short height is associated with gestational diabetes mellitus (GDM) but the underlying mechanism remains unknown. This study aims to explore whether short height has a synergistic effect with pre-pregnancy overweight/obesity and undue weight gain on the risk of GDM. Methods: We recruited 19,962 singleton pregnant women from their first antenatal care visit in urban Tianjin, China, between October 2010 to August 2012. At 24-28 weeks of gestation, women underwent a 50-g 1-h glucose challenge test (GCT) followed by a 75-g 2-h oral glucose tolerance test (OGTT) if the GCT result was ≥7.8 mmol/L. GDM was defined by the International Association of Diabetes and Pregnancy Study Group's cut-points. Univariable and multivariable logistic regression analyses were performed to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Restricted cubic spline (RCS) analysis nested in the logistic regression analysis was used to identify a cutoff point of height for GDM. Additive interaction was used to test interactions between short height, pregnancy overweight/obesity and undue weight gain. Results: A total of 1,517 (or 7.6%) women developed GDM. The risk of GDM increased rapidly with a decreasing height from 158 cm and downwards. Using height ≥158 cm as the reference group, women with < 158 cm of height were at increased GDM risk (adjusted OR: 1.44, 95%CI: 1.18-1.75). Maternal overweight/obesity at the first antenatal care visit greatly enhanced the OR of short height for GDM (adjusted OR: 3.78, 95%CI: 2.84-5.03) with significant additive interaction (P < 0.05). However, the interaction between short height and undue weight gain was non-significant (P > 0.05). Conclusions: In Chinese pregnant women in urban Tianjin, height < 158 cm had a synergistic effect with pre-pregnancy overweight/obesity on the risk of GDM.

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.

Evaluation of the value of plasma concentration of copeptin in the first prenatal visit to diagnose gestational diabetes mellitus

AIMS

Gestational diabetes mellitus (GDM) is increasing worldwide. The aim of this study was to investigate whether copeptin concentrations, measured at the first prenatal visit, are associated with risk of GDM.

METHODS

From July 2015 to June 2016, consecutive women who admitted to the obstetrics center of our hospital were included. Data for fasting plasma glucose and copeptin concentrations at the first prenatal visit and one-step GDM screening with 75-g oral glucose tolerance test performed between 24 and 28 weeks of gestation were collected and analyzed. The relationship between levels of copeptin and GDM were evaluated using univariate and multivariate regression analysis.

RESULTS

In this study, 101 out of the 827 women developed GDM (12.2%). The GDM distribution across the copeptin quartiles ranged between 4.4% (first quartile) and 25.1% (fourth quartile). For each 1 log-unit increase in plasma concentration of copeptin, the unadjusted and adjusted risk of GDM increased by 1442% (odds ratio 15.42 [95% CI 3.35-54.25], P < 0.001) and 642% (7.42 [2.69-16.02], P < 0.001), respectively. In a multivariate model using the fourth quartiles of copeptin versus quartiles 1 through 3 together with the clinical variables, the marker displayed prognostic information (GDM: OR for fourth quartile, 3.11 [95% CI 1.95-5.24; P = 0.001]). The net reclassification improvement statistic showed that the addition of copeptin to established risk factors significantly increased the correct reclassification of GDM (P = 0.02). The integrated discrimination improvement statistic found that the copeptin level significantly increased discrimination between women with GDM and without GDM (P = 0.01).

CONCLUSIONS

High copeptin concentrations at the first prenatal visit were associated with increased risk of GDM and might be useful in identifying women at risk of GDM for early prevention strategies.

The New "Obstetrical Dilemma": Stunting, Obesity and the Risk of Obstructed Labour

The "obstetrical dilemma" refers to the tight fit between maternal pelvic dimensions and neonatal size at delivery. Most interest traditionally focused on its generic significance for humans, for example our neonatal altriciality and our complex and lengthy birth process. Across contemporary populations, however, the obstetrical dilemma manifests substantial variability, illustrated by differences in the incidence of cephalo-pelvic disproportion, obstructed labour and cesarean section. Beyond accounting for 12% of maternal mortality worldwide, obstructed labour also imposes a huge burden of maternal morbidity, in particular through debilitating birth injuries. This article explores how the double burden of malnutrition and the global obesity epidemic may be reshaping the obstetrical dilemma. First, short maternal stature increases the risk of obstructed labour, while early age at marriage also risks pregnancy before pelvic growth is completed. Second, maternal obesity increases the risk of macrosomic offspring. In some populations, short maternal stature may also promote the risk of gestational diabetes, another risk factor for macrosomic offspring. These nutritional influences are furthermore sensitive to social values relating to issues such as maternal and child nutrition, gender inequality and age at marriage. Secular trends in maternal obesity are substantially greater than those in adult stature, especially in low- and middle-income countries. The association between the dual burden of malnutrition and the obstetrical dilemma is therefore expected to increase, because the obesity epidemic is emerging faster than stunting is being resolved. However, we currently lack objective population-specific data on the association between maternal obesity and birth injuries. Anat Rec, 300:716-731, 2017. © 2017 Wiley Periodicals, Inc.

Passive smoking as an independent risk factor for gestational diabetes that synergizes with prepregnancy obesity in urban Chinese women

There are high-priority public health and legislative efforts around the world to reduce smoking and to reduce the spaces where smoking is allowable. These efforts are aimed at minimizing not only the adverse health effects of active smoking but also the adverse health effects of passive cigarette smoke exposure. While many cultures and societies make protection of a pregnant woman and her about-to-be-born-newborn a priority, the importance of protecting them from passive smoking that is prevalent in many modern societies has not been reported. The article by Leng et al, "Passive smoking increased risk of gestational diabetes mellitus independently and synergistically with prepregnancy obesity in Tianjin, China," newly published in Diabetes Metabolism Research and Reviews, provides evidence that passive smoke inhalation during pregnancy makes gestational diabetes more likely, bringing with it negative health consequences for the mother and her baby. This study will hopefully add support to public health officials' efforts to curb cigarette use, especially in public domains.

Interleukin 6 (IL-6) and Tumor Necrosis Factor α (TNF-α) Single Nucleotide Polymorphisms (SNPs), Inflammation and Metabolism in Gestational Diabetes Mellitus in Inner Mongolia

BACKGROUND Gestational diabetes mellitus (GDM) is common all over the world. GDM women are with inflammatory and metabolisms abnormalities. However, few studies have focused on the association of IL-65-72C/G and TNF-α -857C/T single nucleotide polymorphisms (SNPs), inflammatory biomarkers, and metabolic indexes in women with GDM, especially in the Inner Mongolia population. The aim of this study was to investigate the associations of IL-65-72C/G and TNF-α -857C/T SNPs, and inflammation and metabolic biomarkers in women with GDM pregnancies. MATERIAL AND METHODS Blood samples and placentas from 140 women with GDM and 140 women with healthy pregnancies were collected. Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) and MassARRAY-IPLEX were performed to analyze IL-65-72C/G and TNF-α -857C/T SNPs. Enzyme linked immunosorbent assay (ELISA) was performed to analyze inflammatory biomarkers and adipokines. RESULTS Distribution frequency of TNF-α -857CT (OR=3.316, 95% CI=1.092-8.304, p=0.025) in women with GDM pregnancies were obviously higher than that in women with healthy pregnancies. Women with GDM were of older maternal age, had higher BMI, were more nulliparous, and had T2DM and GDM history, compared to women with healthy pregnancies (p<0.05). Inflammatory biomarkers in serum (hs-CRP, IL-6, IL-8, IL-6/IL-10 ratio) and placental (NF-κB, IL-6, IL-8, IL-6/IL-10 ratio, IL-1b, TNF-α) were significantly different (p<0.05) between women with GDM and women with healthy pregnancies. Differences were found for serum FBG, FINS, HOMA-IR, and HOMA-β, and placental IRS-1, IRS-2, leptin, adiponectin, visfatin, RBP-4, chemerin, nesfatin-1, FATP-4, EL, LPL, FABP-1, FABP-3, FABP-4, and FABP-5. CONCLUSIONS TNF-α -857C/T SNP, hs-CRP, IL-6, IL-8, and IL-6/IL-10 were associated with GDM in women from Inner Mongolia, as was serious inflammation and disordered lipid and glucose metabolisms.

Passive smoking increased risk of gestational diabetes mellitus independently and synergistically with prepregnancy obesity in Tianjin, China

BACKGROUND

Passive smoking increased type 2 diabetes mellitus risk, but it is uncertain whether it also increased gestational diabetes mellitus (GDM) risk. We aimed to examine the association of passive smoking during pregnancy and its interaction with maternal obesity for GDM.

METHODS

From 2010 to 2012, 12 786 Chinese women underwent a 50-g 1-hour glucose challenge test at 24 to 28 weeks of gestation and further underwent a 75-g 2-hour oral glucose tolerance test if the glucose challenge test result was ≥7.8 mmol/L. GDM was defined by the International Association of Diabetes and Pregnancy Study Group's cut points. Self-reported passive smoking during pregnancy was collected by a questionnaire. Logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Additive interaction between maternal obesity and passive smoking was estimated using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S). Significant RERI > 0, AP > 0, or S > 1 indicated additive interaction.

RESULTS

A total of 8331 women (65.2%) were exposed to passive smoking during pregnancy. More women exposed to passive smoking developed GDM than nonexposed women (7.8% versus 6.3%, P = 0.002) with an adjusted OR of 1.29 (95%CI, 1.11 to 1.50). Compared with nonobesity and nonpassive smoking, prepregnancy obesity and passive smoking was associated with GDM risk with an adjusted OR of 3.09 (95%CI, 2.38-4.02) with significant additive interaction (P < .05 for RERI and AP).

CONCLUSIONS

Passive smoking during pregnancy increased GDM risk in Chinese women independently and synergistically with prepregnancy obesity.

Sleep duration and quality, and risk of gestational diabetes mellitus in pregnant Chinese women

AIMS

To examine the association between sleep disturbances during pregnancy and risk of gestational diabetes mellitus.

METHODS

From 2010 to 2012, 12 506 women in Tianjin, China, were screened using a 50-g 1-h glucose challenge test at 24-28 weeks' gestation. Those with glucose challenge test values of ≥ 7.8 mmol/l were invited to further undergo a 75-g 2-h oral glucose tolerance test. Gestational diabetes was determined according to the International Association of Diabetes and Pregnancy Study Group's definition. Self-reported sleep duration and sleep quality during pregnancy was documented using a modified questionnaire. Logistic regression was used to obtain odds ratios and 95% CIs.

RESULTS

A total of 919 women (7.3%) had gestational diabetes. Sleep duration was found to have an approximate J-shaped association with gestational diabetes risk after adjusting for covariates. Compared with a sleep duration of 7-9 h/day (43% of 12 506 women), the adjusted odds ratios for sleep duration of ≥ 9 h/day (55%) and < 7 h/day (2%) for gestational diabetes were 1.21 (95% CI 1.03-1.42) and 1.36 (95% CI 0.87-2.14), respectively. Compared with good sleep quality (37.9% of 12 506 women), the adjusted odds ratios of moderate (59.9%) and poor sleep quality (2.2%) for gestational diabetes were 1.19 (95% CI 1.01-1.41) and 1.61 (95% CI 1.04-2.50), respectively.

CONCLUSION

In pregnant Chinese women, poor sleep quality, and shorter and longer duration of sleep during pregnancy were independently associated with an increased risk of gestational diabetes.

Gestational diabetes mellitus in an Iranian pregnant population using IADPSG criteria: Incidence, contributing factors and outcomes

AIMS

Different approaches for screening and diagnosis of gestational diabetes mellitus(GDM) have great impact on all process of management of gestational diabetes and its future complications. The aims of this study were to evaluate rate, risk factors and outcomes of GDM based on International Association of Diabetes and Pregnancy Study Groups diagnostic criteria.

MATERIALS

In a prospective study pregnant women attended 5 clinics in Ahvaz, screened for gestational diabetes mellitus using IADPSG criteria and followed up delivery from August 2014 to February 2015. At the first prenatal visit women underwent the fasting blood sugar test. A 75-g oral glucose tolerance test (OGTT) was performed for 750 mothers between 24 and 32 weeks of gestation. Logistic regression test for calculating the odds ratios and 95% confidence intervals was used.

RESULTS

The mean age of participants was 28.43±5.52years. The overall rate of GDM in our study was 29.9% (224/750). Incidence of gestational diabetes was associated with age group≥35years [OR=1.92(95% CI, 1.19-3.09)], family history of diabetes [OR=2.47(95% CI, 1.33-4.59)], previous GDM [OR=3.12(1.35-7.19)], BMI≥25 [OR=1, 71(1.10-2.67)] Using logistic regression. The most common maternal complication in studied women was cesarean section followed by hypertension and preeclampsia.

CONCLUSION

About one third of studied women diagnosed as GDM according to the IADPSG criteria. Risk factors of GDM were maternal age, family history of diabetes, Previous GDM, overweight and obesity before pregnancy, the same reported factors with 2 steps approach. Higher rate of GDM using this criterion may increase concern about healthcare costs and workloads.

Small-for-gestational age and its association with maternal blood glucose, body mass index and stature: a perinatal cohort study among Chinese women

OBJECTIVE

To examine whether maternal low blood glucose (BG), low body mass index (BMI) and small stature have a joint effect on the risk of delivery of a small-for-gestational age (SGA) infant.

DESIGN

Women from a perinatal cohort were followed up from receiving perinatal healthcare to giving birth.

SETTING

Beichen District, Tianjin, China between June 2011 and October 2012.

PARTICIPANTS

1572 women aged 19-39 years with valid values of stature, BMI and BG level at gestational diabetes mellitus screening (gestational weeks 24-28), glucose challenge test <7.8 mmol/L and singleton birth (≥37 weeks' gestation).

MAIN OUTCOME MEASURES

SGA was defined as birth weight <10th centile for gender separated gestational age of Tianjin singletons.

RESULTS

164 neonates (10.4%) were identified as SGA. From multiple logistic regression models, the ORs (95% CI) of delivery of SGA were 0.84 (0.72 to 0.98), 0.61 (0.49 to 0.74) and 0.64 (0.54 to 0.76) for every 1 SD increase in maternal BG, BMI and stature, respectively. When dichotomises, maternal BG (<6.0 vs ≥6.0 mmol/L), BMI (<24 vs ≥24 kg/m(2)) and stature (<160.0 vs ≥160.0 cm), those with BG, BMI and stature all in the lower categories had ∼8 times higher odds of delivering an SGA neonate (OR (95% CI) 8.01 (3.78 to 16.96)) relative to the reference that had BG, BMI and stature all in the high categories. The odds for an SGA delivery among women who had any 2 variables in the lower categories were ∼2-4 times higher.

CONCLUSIONS

Low maternal BG is associated with an increased risk of having an SGA infant. The risk of SGA is significantly increased when the mother is also short and has a low BMI. This may be a useful clinical tool to identify women at higher risk for having an SGA infant at delivery.

Physical activity, sedentary behaviors and risk of gestational diabetes mellitus: a population-based cross-sectional study in Tianjin, China

OBJECTIVE

Physical activity in a nonpregnant state or before pregnancy reduces the risk of type 2 diabetes and is also associated with reduced risk of gestational diabetes mellitus (GDM). However, it is uncertain whether physical activity during pregnancy reduces the risk of GDM.

DESIGN AND METHODS

Using an established universal screening system in Tianjin, China, we prospectively recruited 11 450 pregnant women within the 12th gestational week from 2010 to 2012. These women underwent a 50-g 1-h glucose challenge test (GCT) at 24-28 weeks of gestation and a 75-g 2-h oral glucose tolerance test if GCT glucose ≥7.8mmol/L. GDM was defined according to the International Association of Diabetes and Pregnancy Study Group's criteria. Self-reported physical activity in the last month was collected at GCT time using a validated questionnaire.

RESULTS

GDM developed in 7.3% (n=840) of the women. Women with GDM were less likely to be engaged in moderate-to-high physical activity during pregnancy than those without (79.8% vs 81.6%, P=0.191). Moderate-to-high physical activity during pregnancy was associated with decreased risk of GDM (multivariable odds ratio (OR): 0.81, 95% confidence interval (CI): 0.67-0.97). Sitting at home for 2-4h per day and >4h per day were associated with significantly increased risk of GDM (multivariable OR of sitting time for 2-4h vs <2h: 1.59, 95% CI: 1.18-2.15; OR of sitting time for >4h vs <2h: 1.73, 95% CI: 1.22-2.43).

CONCLUSIONS

Increased physical activity during pregnancy was associated with reduced GDM risk, whereas sedentary lifestyle was associated with increased GDM risk among Chinese pregnant women.

Pregnancy outcomes of Chinese women with gestational diabetes mellitus defined by the IADPSG's but not by the 1999 WHO's criteria

OBJECTIVE

To compare pregnancy outcomes of women with gestational diabetes mellitus (GDM) newly defined by the International Association of Diabetes and Pregnancy Study Group (IADPSG)'s criteria vs GDM cases missed by a shift from the 1999 World Health Organization (WHO)'s criteria to the IADPSG's.

METHODS

From 2010 to 2012, we recruited 17 808 women who registered within 12 weeks of gestation in Tianjin, China. All women underwent a 50-g 1-h glucose challenge test (GCT) at 24-28 weeks of gestation and further underwent a 75-g 2-h oral glucose tolerance test (OGTT) if the GCT result was ≥7·8 mmol/l. Women were divided into four groups, i.e., GDM defined by both criteria, GDM defined by the IADPSG's only, GDM defined by the 1999 WHO's only and non-GDM by either of them. Large for gestational age (LGA), macrosomia, pregnancy-induced hypertension (PIH) and preterm birth were compared among the four groups. Logistic regression was used to control for confounders.

RESULTS

The use of IADPSG's and the 1999 WHO's criteria detected that 7·7% (n = 1378) and 6·8% (n = 1206) of women had GDM, respectively, with 429 GDM newly identified and 257 women missed by a shift from the 1999 WHO's to the IADPSG's. The IADPSG's newly defined GDM had significantly increased risks of LGA (adjusted OR: 2·23, 95%CI: 1·36-3·64) and macrosomia (2·65, 95%CI: 1·50-4·66) than the 1999 WHO's only defined GDM cases.

CONCLUSIONS

A shift of the 1999 WHO's criteria to the IADPSG's diagnosed more GDM cases who had worse pregnancy outcomes than those cases missed.