Prevalence and risk factors for gestational diabetes assessed by universal screening

Prevalence and determinants of gestational diabetes mellitus among pregnant women in India: an analysis of National Family Health Survey Data

BACKGROUND

Gestational diabetes mellitus (GDM) is a type of diabetes with its first recognition during pregnancy. GDM is a high-risk maternal and neonatal condition which increases the risk of Type 2 diabetes in mothers and their infants. It is essential to detect and treat GDM since its inception when mothers suffer from Type 1 diabetes while carrying the foetus during the gestational period.

METHODS

The study analysed individual data from the National Family Health Survey (NFHS) surveyed in 2015-2016 (4th round) and 2019-2021 (5th round) covering a total of approximately 6 lakhs and 7 lakhs women, respectively. Among them, 32,072 women in 2015-2016 and 28,187 in 2019-2021 were pregnant, of whom 180 women in 2014-2015 and 247 women in 2019-2021 had diabetes during their gestational periods, allowing the percentage prevalence calculation of GDM. The analysis of Poisson regression estimates examined the socioeconomic and demographic risk factors for GDM among pregnant women.

RESULTS

The overall prevalence of GDM in women showed an increase from 0.53% in 2015-16 to 0.80% in 2019-20 at the national level, and a similar increase in many states of India was witnessed, with a few exceptions. The GDM prevalence has shown a gradient over age, with a low prevalence in 15-19- and 25-29-year-olds and the highest prevalence in 40-44-year-olds. Concerning the rural and urban divide, its prevalence in both urban and rural areas has increased from 0.61 to 0.85% and 0.51 to 0.78% between 2015 and 16 and 2019-21. The results of the Poisson regression analysis reveal that older adults with high Body Mass Index (BMI), thyroid disorder, and heart disease have a greater risk of GDM among pregnant women in India. The states of Kerala, Meghalaya, and Goa show a high prevalence of GDM.

CONCLUSION

The low prevalence of GDM may not be clinically significant but has negative repercussions on the mother and her child cannot be overlooked. Thus, it is essential to curb GDM since its inception and save a generation ahead from the risk of diabetes and other diseases.

Molecular pathways and nutrigenomic review of insulin resistance development in gestational diabetes mellitus

Gestational diabetes mellitus is a condition marked by raised blood sugar levels and insulin resistance that usually occurs during the second or third trimester of pregnancy. According to the World Health Organization, hyperglycemia affects 16.9% of pregnancies worldwide. Dietary changes are the primarily alternative treatment for gestational diabetes mellitus. This paper aims to perform an exhaustive overview of the interaction between diet, gene expression, and the metabolic pathways related to insulin resistance. The intake of foods rich in carbohydrates can influence the gene expression of glycolysis, as well as foods rich in fat, can disrupt the beta-oxidation and ketogenesis pathways. Furthermore, vitamins and minerals are related to inflammatory processes regulated by the TLR4/NF-κB and one carbon metabolic pathways. We indicate that diet regulated gene expression of PPARα, NOS, CREB3L3, IRS, and CPT I, altering cellular physiological mechanisms and thus increasing or decreasing the risk of gestational diabetes. The alteration of gene expression can cause inflammation, inhibition of fatty acid transport, or on the contrary help in the modulation of ketogenesis, improve insulin sensitivity, attenuate the effects of glucotoxicity, and others. Therefore, it is critical to comprehend the metabolic changes of pregnant women with gestational diabetes mellitus, to determine nutrients that help in the prevention and treatment of insulin resistance and its long-term consequences.

Exploring the potential of microRNA as a diagnostic tool for gestational diabetes

MicroRNAs (miRNAs) are small non-coding RNAs that play critical roles in regulating host gene expression. Recent studies have indicated a role of miRNAs in the pathogenesis of gestational diabetes mellitus (GDM), a common pregnancy-related disorder characterized by impaired glucose metabolism. Aberrant expression of miRNAs has been observed in the placenta and/or maternal blood of GDM patients, suggesting their potential use as biomarkers for early diagnosis and prognosis. Additionally, several miRNAs have been shown to modulate key signaling pathways involved in glucose homeostasis, insulin sensitivity, and inflammation, providing insights into the pathophysiology of GDM. This review summarizes the current knowledge on the dynamics of miRNA in pregnancy, their role in GDM as well as their potential as diagnostic and therapeutic targets.

A Clinical Update on Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) traditionally refers to abnormal glucose tolerance with onset or first recognition during pregnancy. GDM has long been associated with obstetric and neonatal complications primarily relating to higher infant birthweight and is increasingly recognized as a risk factor for future maternal and offspring cardiometabolic disease. The prevalence of GDM continues to rise internationally due to epidemiological factors including the increase in background rates of obesity in women of reproductive age and rising maternal age and the implementation of the revised International Association of the Diabetes and Pregnancy Study Groups' criteria and diagnostic procedures for GDM. The current lack of international consensus for the diagnosis of GDM reflects its complex historical evolution and pragmatic antenatal resource considerations given GDM is now 1 of the most common complications of pregnancy. Regardless, the contemporary clinical approach to GDM should be informed not only by its short-term complications but also by its longer term prognosis. Recent data demonstrate the effect of early in utero exposure to maternal hyperglycemia, with evidence for fetal overgrowth present prior to the traditional diagnosis of GDM from 24 weeks' gestation, as well as the durable adverse impact of maternal hyperglycemia on child and adolescent metabolism. The major contribution of GDM to the global epidemic of intergenerational cardiometabolic disease highlights the importance of identifying GDM as an early risk factor for type 2 diabetes and cardiovascular disease, broadening the prevailing clinical approach to address longer term maternal and offspring complications following a diagnosis of GDM.

The trend in delayed childbearing and its potential consequences on pregnancy outcomes: a single center 9-years retrospective cohort study in Hubei, China

BACKGROUND

Due to the advancement of modern societies, the proportion of women who delay childbearing until or beyond 30 years has dramatically increased in the last three decades and has been linked with adverse maternal-neonatal outcomes.

OBJECTIVE

To determine the trend in delayed childbearing and its negative impact on pregnancy outcomes.

MATERIAL AND METHODS

A tertiary hospital-based retrospective study was conducted in Wuhan University Renmin Hospital, Hubei Province, China, during the years 2011-2019. The joinpoint regression analysis was used to find a trend in the delayed childbearing and the multiple binary logistic regression model was used to estimate the association between maternal age and pregnancy outcomes.

RESULTS

Between 2011 and 2019, the trend in advanced maternal age (AMA ≥35 years) increased by 75% [AAPC 7.5% (95% CI: - 10.3, 28.9)]. Based on maternal education and occupation, trend in AMA increased by 130% [AAPC 11.8% (95% CI: 1.1, 23.7)] in women of higher education level, and 112.5% [AAPC 10.1% (95% CI: 9.4, 10.9)] in women of professional services. After adjusting for confounding factors, AMA was significantly associated with increased risk of gestational hypertension (aOR 1.5; 95% CI: 1.2, 2.1), preeclampsia (aOR 1.6; 95% CI: 1.4, 1.9), sever preeclampsia (aOR 1.7; 95% CI: 1.1, 2.6), placenta previa (aOR 1.8; 95% CI: 1.5, 2.2), gestational diabetes mellitus (aOR 2.5; 95% CI: 2.3, 2.9), preterm births (aOR 1.6; 95% CI: 1.4, 1.7), perinatal mortality (aOR 1.8; 95% CI: 1.3, 2.3), and low birth weight (aOR 1.3; 95% CI: 1.2, 1.4) compared with women aged < 30 years.

CONCLUSION

Our findings show a marked increase in delayed childbearing and its negative association with pregnancy outcomes.

Adherence to Dietary Guidelines among Women with and without Gestational Diabetes: Evidence from the Growing up in New Zealand Study

Diet is thought to play a role in the development and management of gestational diabetes mellitus (GDM). Dietary guidelines provide practical recommendations for achieving nutrient requirements and mitigating the risk of chronic disease. The aim of this study was to describe the adherence to dietary guidelines by women with and without GDM and determine whether adherence is associated with the development of GDM. Adherence to Ministry of Health food group recommendations was assessed in 5391 pregnant women participating in the Growing Up in New Zealand study. A food frequency questionnaire (FFQ) administered during pregnancy provided dietary data. The presence of GDM was determined using diagnostic coding in clinical data and blood glucose results. A quarter of women did not meet any food group recommendations. There were no significant differences in the number of food group targets met by women with or those without GDM. Meeting food group recommendations was not associated with odds of having GDM in adjusted analyses. This study found adherence to dietary recommendations is poor in both women with and without GDM and no association between adherence to food group recommendations and the development of GDM. Greater support is required to assist women to achieve food and nutrition recommendations.

Gestational diabetes mellitus (GDM) and adverse pregnancy outcome in South Asia: A systematic review

INTRODUCTION

The prevalence of gestational diabetes mellitus (GDM) is increasing in developing countries including the South Asian Nations. The current study aimed to examine the association of GDM with adverse pregnancy outcomes from foetal and maternal perspectives in South Asia.

METHODS

A systematic review was conducted including primary studies published since January 2020 from South Asian countries. Following electronic databases were searched to locate the articles: MEDLINE, EMBASE and EMCARE. Data were extracted using a customized extraction tool and methodological quality of the included studies was assessed using modified Effective Public Health Practice Project (EPHPP) quality assessment tool. Narrative synthesis was performed as statistical pooling was not possible due to the heterogeneous nature of the studies.

RESULTS

Eight studies were included in the review. Overall, the review found a positive correlation between GDM and adverse foetal outcomes such as macrosomia, neonatal hyperglycaemia, intrauterine growth retardation (IUGR), stillbirths and low birthweight (LBW), but the findings were not conclusive. GDM was also positively associated with preeclampsia but the association between GDM and C-section delivery was not conclusive.

CONCLUSION

Policymakers, public health practitioners and researchers in South Asia should take in to account the link between GDM and adverse pregnancy outcomes while designing interventions to promote maternal health in South Asia. Researchers should focus on conducting longitudinal studies in future to clearly understand the epidemiology and pathobiology of this issue.

The possible role of endocrine dysfunction of adipose tissue in gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is diabetes that is first diagnosed in the second or third trimester of pregnancy in patients who did not have a history of diabetes before pregnancy. Consequences of GDM include increased risk of macrosomia and birth complications in the infant and an increased risk of maternal type 2 diabetes mellitus (T2DM) after pregnancy. There is also a longer-term risk of obesity, T2DM, and cardiovascular diseases in the child. GDM is the result of impaired glucose tolerance due to pancreatic β-cell dysfunction on a background of insulin resistance that physiologically increases during pregnancy. The strongest clinical predictors of GDM are overweight and obesity. The fact that women with GDM are more likely to be overweight or obese suggests that adipose tissue dysfunction may be involved in the pathogenesis of GDM, similarly to T2DM. Adipose tissue is not only involved in energy storage but also functions as an active endocrine organ secreting adipokines (specific hormones and cytokines) with the ability to alter insulin sensitivity. Recent evidence points to a crucial role of numerous adipokines produced by fat in the development of GDM. The following text summarizes the current knowledge about a possible role of selected adipokines in the development of GDM.

Protocol for a randomized controlled trial of pre-pregnancy lifestyle intervention to reduce recurrence of gestational diabetes: Gestational Diabetes Prevention/Prevención de la Diabetes Gestacional

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with several maternal complications in pregnancy, including preeclampsia, preterm labor, need for induction of labor, and cesarean delivery as well as increased long-term risks of type 2 diabetes, metabolic syndrome, and cardiovascular disease. Intrauterine exposure to GDM raises the risk for complications in offspring as well, including stillbirth, macrosomia, and birth trauma, and long-term risk of metabolic disease. One of the strongest risk factors for GDM is the occurrence of GDM in a prior pregnancy. Preliminary data from epidemiologic and bariatric surgery studies suggest that reducing body weight before pregnancy can prevent the development of GDM, but no adequately powered trial has tested the effects of a maternal lifestyle intervention before pregnancy to reduce body weight and prevent GDM recurrence.

METHODS

The principal aim of the Gestational Diabetes Prevention/Prevención de la Diabetes Gestacional is to determine whether a lifestyle intervention to reduce body weight before pregnancy can reduce GDM recurrence. This two-site trial targets recruitment of 252 women with overweight and obesity who have previous histories of GDM and who plan to have another pregnancy in the next 1-3 years. Women are randomized within site to a comprehensive pre-pregnancy lifestyle intervention to promote weight loss with ongoing treatment until conception or an educational control group. Participants are assessed preconceptionally (at study entry, after 4 months, and at brief quarterly visits until conception), during pregnancy (at 26 weeks' gestation), and at 6 weeks postpartum. The primary outcome is GDM recurrence, and secondary outcomes include fasting glucose, biomarkers of cardiometabolic disease, prenatal and perinatal complications, and changes over time in weight, diet, physical activity, and psychosocial measures.

DISCUSSION

The Gestational Diabetes Prevention /Prevención de la Diabetes Gestacional is the first randomized controlled trial to evaluate the effects of a lifestyle intervention delivered before pregnancy to prevent GDM recurrence. If found effective, the proposed lifestyle intervention could lay the groundwork for shifting current treatment practices towards the interconception period and provide evidence-based preconception counseling to optimize reproductive outcomes and prevent GDM and associated health risks.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02763150 . Registered on May 5, 2016.

A case-control study to predict the risk of gestational diabetes mellitus by initial fasting blood sugar or past gestational history

BACKGROUND

Gestational diabetes mellitus (GDM) deserves proper prevention, diagnosis, and management due to healthcare implications from both maternal and fetal concerns.

OBJECTIVE

To evaluate the rate and investigate the risk factors for developing GDM.

MATERIALS AND METHODS

In this case-control, universal screening for GDM between 24 and 28 wk of gestation was performed in 613 pregnant women attending a prenatal clinic in Tehran who were followed-up until delivery between March 2017 to March 2018. Of the 613 women, 143 had GDM and 470 had normal glucose tolerance test as the primary diagnosis. Some GDM risk factors were compared in two groups.

RESULTS

Impaired glucose tolerance test was detected in 143 (23.3%) patients. Prevalence of GDM was higher in the first-trimester fasting blood sugar (FBS) > 90 qmg/dl group (p < 0.001). Comparison of the GDM and the normal glucose tolerance test groups demonstrated significant differences in maternal age, first-trimester FBS, third-trimester vitamin D level, maternal platelet count, maternal body mass index (BMI) (before 12 wk of gestation), weight gain during pregnancy, and the history of gestational complications in previous pregnancy (p < 0.01). In logistic regression, GDM was independently associated with older maternal age, higher first-trimester FBS, the history of gestational complications in previous pregnancy, lower third-trimester vitamin D level, and higher maternal platelet count (p < 0.01).

CONCLUSION

Both patients with higher initial FBS and the history of gestational complications in previous pregnancy should be considered high risk for GDM and screened earlier.

Role of umbilical cord C-peptide levels in early prediction of hypoglycemia in infants of diabetic mothers

BACKGROUND

Until now, diabetes during pregnancy has been associated with a high risk of maternal, fetal, and neonatal morbidities and mortalities. The main aim of this study was to evaluate the risk factors of hypoglycemia in infants of diabetic mothers (IDMs) and to study the relationship between umbilical cord (UC) C peptide levels and the risk of developing hypoglycemia.

MATERIAL AND METHODS

UC blood C-peptide and serial serum blood glucose measurements were done for all included singleton newborns born to diabetic mothers during the study period. Maternal and neonatal data such as gestational age, maternal age, maternal weight, types of diabetics and its control, maternal glycated hemoglobin (HbA1C), birth weight, Apgar score, and neonatal complete blood picture were collected.

RESULTS

In total, 83 IDMs met the inclusion criteria. Fifty-four (65.06%) developed hypoglycemia and 29 (34.94%) remained normoglycemic. However, there were no significant differences between hypoglycemic and normoglycemic IDMs in terms of types of maternal diabetics (P value = 0.41), its duration (P value = 0.43). The hypoglycemia peak occurred within the first 3 h of life, with 33.11 ± 8.84 mg/dl for the hypoglycemia group and 54.10 ± 6.66 mg/dl for the normoglycemic group (P value < 0.0001). Most of the babies had no hypoglycemic manifestation (96.30%). Neonates with hypoglycemia their mothers had poor diabetes control in the last trimester (HbA1C 7.09 ± 0.96%) compared to normoglycemic babies (HbA1C 6.11 ± 0.38%), (P-value < 0.0001). The mean (SD) of UC C-peptide level in hypoglycemic neonates increased to 1.73 ± 1.07 ng/ml compared to normoglycemic ones with 1.08 ± 0.81 ng/ml (P value = 0.005).

CONCLUSION

Poor diabetes control, especially in the last trimester, is associated with neonatal hypoglycemia. Increased UC C-peptide levels could be used as an early indicator for the risk of developing neonatal hypoglycemia and a predictor for babies need neonatal admission.

Evaluation of weight retention four weeks after delivery as a risk factor for gestational diabetes mellitus in a subsequent pregnancy

AIM

We aimed to assess the association between postpartum weight retention (PPWR) in the fourth week after delivery and the risk of gestational diabetes mellitus (GDM) in a subsequent pregnancy.

METHODS

We performed a retrospective cohort study of the obstetric records of women who gave birth to their second singleton between 32 and 41 weeks of gestation at the National Hospital Organization Kofu National Hospital between January 2013 and September 2019. The exclusion criteria were missing data, twin pregnancy, diabetes in pregnancy, and delivery before 22 weeks in the first pregnancy. We calculated PPWR as the BMI 4 weeks after the first birth minus the BMI before the first pregnancy and grouped the subjects into the stable PPWR (gain of <1 BMI unit) and non-stable PPWR groups (gain of ≥1 BMI units). We used the χ2 test and multivariable logistic regression analysis to investigate the association between weight retention at the postpartum checkup and GDM.

RESULTS

We included 566 women in this study (mean age, 31.7±4.8 years; mean maternal pre-pregnancy BMI, 21.3±3.5 kg/m2; term delivery, n = 544 [96.1%]). The overall prevalence of GDM during the second pregnancy was 7.4% (42/566), and 33.9% (192/566) of women had stable PPWR. Non-stable PPWR was not significantly associated with GDM in the second pregnancy (adjusted odds ratio, 1.93; 95% confidence interval, 0.84-4.46) after controlling for each variable.

CONCLUSION

PPWR measured in the fourth week after delivery was not associated with an increased risk of GDM in the second pregnancy.

Prediction of gestational diabetes based on nationwide electronic health records

Gestational diabetes mellitus (GDM) poses increased risk of short- and long-term complications for mother and offspring^1-4. GDM is typically diagnosed at 24-28 weeks of gestation, but earlier detection is desirable as this may prevent or considerably reduce the risk of adverse pregnancy outcomes^5,6. Here we used a machine-learning approach to predict GDM on retrospective data of 588,622 pregnancies in Israel for which comprehensive electronic health records were available. Our models predict GDM with high accuracy even at pregnancy initiation (area under the receiver operating curve (auROC) = 0.85), substantially outperforming a baseline risk score (auROC = 0.68). We validated our results on both a future validation set and a geographical validation set from the most populated city in Israel, Jerusalem, thereby emulating real-world performance. Interrogating our model, we uncovered previously unreported risk factors, including results of previous pregnancy glucose challenge tests. Finally, we devised a simpler model based on just nine questions that a patient could answer, with only a modest reduction in accuracy (auROC = 0.80). Overall, our models may allow early-stage intervention in high-risk women, as well as a cost-effective screening approach that could avoid the need for glucose tolerance tests by identifying low-risk women. Future prospective studies and studies on additional populations are needed to assess the real-world clinical utility of the model.

Size and Shape of Associations of OGTT as Well as Mediating Effects on Adverse Pregnancy Outcomes Among Women With Gestational Diabetes Mellitus: Population-Based Study From Southern Han Chinese

Objective: To explore the size and shape association of OGTT values with adverse pregnancy complications among women with gestational diabetes mellitus (GDM) in Southern Han Chinese population and further analyze their mediating effects with maternal age in outcomes. Methods: 6,861 women with GDM were included in the study. Logistic regression was used to identify the correlations between OGTT values and adverse pregnancy outcomes of GDM. Restricted cubic spline nested logistic regression was conducted to investigate potential non-linear and linear associations. Mediating effect among maternal age, OGTT and adverse outcomes were explored. Results: Women with GDM had a mean age of 31.83, and 24.49% had advanced maternal age (≥35 years). In logistic regression with adjustment, compared with lower OGTT0 (<5.1 mmol/L), GDM patients with higher OGTT0 (≥5.1 mmol/L) exhibited 1.891 (95% CI: 1.441-2.298, P < 0.001), 1.284 (1.078-1.529, P = 0.005), 1.285 (1.065-1.550, P = 0.009), and 1.302 (1.067-1.590, P = 0.010) times increased risk of hypertensive disorders of pregnancy (HDP), preterm, neonatal hyperbilirubinemia, and macrosomia, respectively. GDM patients with higher OGTT1 (≥10 mmol/L) had only found to exhibited 1.473-fold (1.162-1.867, P = 0.001) increasing risk of HDP than those with lower OGTT1 (<10 mmol/L). No adverse outcome was identified to associate with higher OGTT2 (≥8.5 mmol/L). Linear relationships (non-linear P > 0.05) were observed between OGTT0 and HDP, preterm, neonatal hyperbilirubinemia, and macrosomia in both maternal age groups (<35 and ≥35 years). Non-linear associations of OGTT1 with incidence of HDP, preterm, and neonatal hyperbilirubinemia were detected in GDM patients younger than 35 years (non-linear P = 0.037, P = 0.049, P = 0.039, respectively), rising more steeply at higher values. Similar non-linearity was noted for OGTT2 with HDP in older patients. All OGTT values had significant mediating effects on some special complications caused by higher age. Conclusion: Higher fasting plasma glucose was more strongly linked to adverse pregnancy outcomes among GDM patients. Both linearity and Non-linearity of associations between glucose and complications should be taken into account. A careful reconsideration of GDM with hierarchical and individualized management according to OGTT is needed.

Impact of sleep duration during pregnancy on the risk of gestational diabetes in the Japan environmental and Children's study (JECS)

BACKGROUND

Gestational diabetes mellitus (GDM) has serious effects on both mother and child. Like Type 2 Diabetes Mellitus, it is increasing in prevalence world-wide. In addition to obesity, sleep duration has been named an important risk factor. Using a large cohort study, including data from 48,787 participants of the Japan Environment and Children's Study (JECS), we examined the association between sleep duration and both random blood glucose levels and GDM rates during pregnancy.

METHODS

Random blood glucose levels were measured during pregnancy. GDM diagnosis was based on the results of 75 g oral glucose tolerance test. Additional anthropometric data was collected from questionnaires for statistical analysis.

RESULTS

Compared to mothers averaging 7 to < 10 h sleep (reference group), women receiving < 5 h or ≥ 10 h sleep exhibited significantly elevated random blood glucose levels. This was associated with an elevated risk for positive GDM screening (< 5 h sleep: OR 1.17 (0.96-1.44) p = 0.126; ≥10 h sleep: OR 1.13 (1.03-1.25) p = 0.006). Calculating the risk for GDM, women sleeping < 5 h or ≥ 10 h exhibited elevated risks of 1.31-fold and 1.21 respectively. However, this trend was not found to be significant.

CONCLUSIONS

Sleep is a critical factor in glucose metabolism, with both abnormally long and short sleep duration increasing random blood glucose levels in pregnant women. Moreover, the risk for positive GDM screening increases significantly with elevated sleep, ≥10 h per night. These findings are promising because they support the idea that sleep duration is a modifiable risk factor, and can be focused upon to improve health and pregnancy outcome.

Role of VEGF165b/VEGFTOTAL ratio in gestational diabetes mellitus

Proper vascular function is important for well-being of mother and growing fetus. VEGF_TOTAL, and VEGF_165b levels and its vascular endothelial complications in gestational diabetes mellitus (GDM) together with the association of inflammation and advanced glycation end products (AGEs) are less studied. VEGF_165b/VEGF_TOTAL (VEGF RATIO) in GDM pregnant women was investigated in this study. Plasma VEGF_TOTAL was lower in GDM (17.68 ± 1.30 pg/mL) compared to non-GDM (25.69 ± 1.40 pg/mL). VEGF_165b, ICAM-1, and AGEs were higher in GDM (9.9 ± 1.4 pg/mL, 201.04 ± 7.85 µg/mL, and 10.40 ± 0.98 µg/mL, respectively) and lower in non-GDM (6.47 ± 0.70 pg/mL, 174.1 ± 7.11 µg/mL, and 4.71 ± 0.39 µg/mL, respectively). Compared to non GDM (0.25 ± 0.02), VEGF RATIO was higher in GDM (0.45 ± 0.04) and correlated with -ICAM-1 (r = 0.375, p < .001) and AGEs (r = 0.199, p < .05). Tertile stratification of VEGF RATIO implied that frequency of GDM increases with increasing tertiles of VEGF RATIO (p for trend <.001). Association of VEGF RATIO with GDM was significant even after adjusting for AGEs (OR = 1.279, CI = 1.118-1.462, p < .0010) but it lost its significance when adjusted for ICAM-1 (OR = 1.006, CI = 0.995-1.017, p = .308). VEGF RATIO plays an important role in GDM in association with vascular inflammation.

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.

Trends in prevalence of gestational diabetes and perinatal outcomes in Catalonia, Spain, 2006 to 2015: the Diagestcat Study

BACKGROUND

No recent epidemiologic studies on gestational diabetes mellitus (GDM) have been conducted in Spain. The present study aimed to explore trends in the prevalence of GDM and ascertain whether the risk of adverse perinatal outcomes changed between 2006 and 2015 in Catalonia.

METHODS

In this population-based study, all hospital admissions for singleton births in Catalonia for the period 2006 to 2015 were collected from the Spanish Minimum Basic Data Set. Cases of GDM were identified from hospital delivery discharge reports using ICD-9-CM codes. Data regarding maternal characteristics and perinatal outcomes were analysed. Crude and age-adjusted annual prevalences were calculated. The Poisson regression model was used to assess trends in prevalence and perinatal outcomes, adjusted for age and smoking habit; however, they could not be adjusted for body mass index (BMI) and ethnicity.

RESULTS

Data from 743 762 deliveries were collected. GDM prevalence over the study period was 4.80% (95% CI 4.75-4.85%). Crude GDM prevalence rose from 3.81% (95% CI 3.67-3.95%) in 2006 to 6.53% (95% CI 6.33-6.72%) in 2015 (P < 0.001). Women with GDM showed a stable trend in rates of preeclampsia (2.56%), prematurity (15.7%), and large-for-gestational age (LGA) newborns (18.3%), whereas a lower rate of macrosomia was observed during the study period (from 9.16% to 7.84%). Caesarean deliveries rose from 28% to 31%; however, significance was lost after adjustment.

CONCLUSIONS

The prevalence of GDM in Catalonia almost doubled between 2006 and 2015. During the study period, the frequency of macrosomia decreased whereas pre-eclampsia, prematurity, LGA, and age-adjusted Caesarean rates remained stable.

Association of food groups intake and physical activity with gestational diabetes mellitus in Iranian women

Background: It is suggested that combining a healthy diet with physical activity during and before pregnancy have a significant effect on insulin sensitivity. This study aimed to investigate the relationship between physical activity and diet before and during pregnancy with the risk of gestational diabetes mellitus (GDM).Methods: A case-control study was conducted on 173 women with GDM diagnosed during the pregnancy as the case group and 168 women with a negative test for GDM as controls. Weight and height were measured and BMI was calculated. Dietary intake and physical activity data during pregnancy were collected using 24-hour food recall questionnaire and international physical activity questionnaire (IPAQ).Results: Body mass index and the intake of refined sugars, high fat dairy products, and fried foods were significantly higher and the intake of fruit and animal oil intake were significantly lower in the case group compared to the control group (All p < .05). However, there was not any significant association between the level of physical activity, vegetable intake, and total energy intake with the risk of GDM.Conclusions: According to the results of this study, dietary intake before and during the pregnancy have a critical effect on the risk of GDM. Appropriate dietary planning for pregnant women can reduce the risk of GDM.

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.

A genetic variant in LINGO2 contributes to the risk of gestational diabetes mellitus in a Chinese population

Genome-wide association studies (GWASs) showed that three single nucleotide polymorphisms (SNPs; rs10968576, rs1412239, and rs824248) in the leucine-rich repeat and Ig domain containing 2 (LINGO2) were associated with obesity or type 2 diabetes (T2D). We aimed to determine the influence of the LINGO2 variants on the gestational diabetes mellitus (GDM) risk. Thus, we performed a case-control study including 964 GDM cases and 1,021 controls to test the associations between the three LINGO2 variants (rs10968576, rs1412239, and rs824248) and susceptibility to GDM. Logistic regression analyses showed no significant association between LINGO2 variations (rs10968576 and rs1412239) and GDM susceptibility, but we observed that LINGO2 rs824248 A > T was significantly associated with an increased risk of GDM using the dominant model (TT/AT vs. AA: adjusted odds ratio [OR] = 1.26, 95% confidence interval [CI] = 1.05-1.51; p = 0.012) and the additive model (TT vs. AT vs. AA: adjusted OR = 1.16, 95% CI = 1.03-1.31; p = 0.016). In the additive model, a stronger risk effect of rs824248 was observed among obese women (prepregnancy body mass index [BMI] > 22 kg/m² , adjusted OR = 1.34, 95% CI = 1.12-1.59) compared with that in lean women (prepregnancy BMI ≤ 22 kg/m² , adjusted OR = 1.0² , 95% CI = 0.86-1.21; p = 0.029 for heterogeneity test). Further interactive analyses also detected a significant multiplicative interaction between rs824248 and prepregnancy BMI for the risk of GDM (p = 0.041). These findings indicate that LINGO2 rs824248 may serve as a susceptibility marker for GDM in Chinese females.

Evaluation of neonatal and maternal morbidity in mothers with gestational diabetes: a population-based study

BACKGROUND

Gestational diabetes mellitus (GDM) is the most frequent complication during pregnancy. Untreated GDM is a severe threat to maternal and neonatal health. Based on recent evidence, up to 15% of all pregnancies may be affected by GDM. We hypothesized that in a rural birth cohort, higher maternal BMI and adverse socioeconomic conditions would promote GDM, which in turn would lead to adverse effects on pregnancy outcomes.

METHODS

The current study is a part of a population-based cohort study examining the health and socioeconomic information from 5801 mothers and their children. The study, titled the Survey of Neonates in Pomerania (SNiP), was based in northeastern Pomerania, Germany (2002-2008).

RESULTS

The cumulative incidence of GDM was 5.1%. Multiple logistic regression revealed prepregnancy overweight (OR 1.84 (95% CI 1.27-2.68)), prepregnancy obesity (OR 3.67 (2.48-5.44)) and maternal age (OR 1.06 (1.03-1.08)) as risk factors for GDM (p = 0.001). Alcohol use during pregnancy (OR 0.61 (0.41-0.90), a higher monthly income (OR 0.62 (0.46-0.83)), and the highest level of education (OR 0.44 (0.46-0.83)) decreased the risk of GDM. Newborns of GDM mothers had an increased risk of hypoglycaemia (OR 11.71 (7.49-18.30)) or macrosomia (OR 2.43 (1.41-4.18)) and were more often delivered by primary (OR 1.76 (1.21-2.60)) or secondary C-section (OR 2.00 (1.35-2.97)). Moreover, they were born 0.78 weeks (95% CI -1.09 - -0.48 weeks) earlier than infants of mothers without diabetes, resulting in higher percentage of late preterm infants with a gestational age of 32-36 weeks (11.1% vs. 6.96%).

CONCLUSIONS

Age and BMI before pregnancy were the predominant mediators of the increased risk of GDM, whereas a higher income and educational level were protective. GDM affected relevant perinatal and neonatal outcomes based on its association with an increased risk of delivery by C-section, preterm birth, macrosomia at birth and neonatal hypoglycaemia.

Prepregnancy Fitness and Risk of Gestational Diabetes: A Longitudinal Analysis

PURPOSE

This study aimed to assess the associations of prepregnancy cardiorespiratory fitness, moderate- to vigorous-intensity physical activity (MVPA), and time spent watching television with subsequent development of gestational diabetes mellitus (GDM).

METHODS

Participants were 1333 women enrolled in the Coronary Artery Risk Development in Young Adults study who did not have diabetes either at baseline (1985-86) or before births occurring after baseline. Baseline fitness was estimated using a graded symptom-limited maximal exercise treadmill test and expressed in MET units. Baseline MVPA (exercise units per day) was measured using the Coronary Artery Risk Development in Young Adults physical activity history questionnaire, and television viewing (h·d) was assessed by self-report in 1990-1991. Logistic regression analysis was used to derive odds ratios and 95% confidence intervals, adjusting for time from baseline to delivery and baseline study center, age, race, education, parity, family history of diabetes, smoking, alcohol, saturated fat intake, waist circumference, homeostasis model assessment of insulin resistance, and HDL cholesterol.

RESULTS

Over 25 yr of follow-up, 164 women developed GDM. The odds of developing GDM were 21% lower for each 1 SD increment in baseline level of fitness (2.3 METs, odds ratio = 0.79, 95% confidence interval = 0.65-0.96). Prepregnancy MVPA and television viewing were not statistically associated with the development of GDM.

CONCLUSION

Study findings indicate that objectively assessed prepregnancy fitness, but not self-reported MVPA or television time, is associated with GDM. Clinicians should counsel women on the benefits of improving fitness in the preconception period, particularly among women at greater risk for GDM.

The role of obesity and adipose tissue dysfunction in gestational diabetes mellitus

Gestational diabetes mellitus is defined as diabetes diagnosed in the second or third trimester of pregnancy in patients with no history of diabetes prior to gestation. It is the most common complication of pregnancy. The underlying pathophysiology shares some common features with type 2 diabetes mellitus (T2DM) combining relatively insufficient insulin secretion with increased peripheral insulin resistance. While a certain degree of insulin resistance is the physiological characteristics of the second half of pregnancy, it is significantly more pronounced in patients with gestational diabetes. Adipose tissue dysfunction and subclinical inflammation in obesity are well-described causes of increased insulin resistance in non-pregnant subjects and are often observed in individuals with T2DM. Emerging evidence of altered adipokine expression and local inflammation in adipose tissue in patients with gestational diabetes suggests an important involvement of adipose tissue in its etiopathogenesis. This review aims to summarize current knowledge of adipose tissue dysfunction and its role in the development of gestational diabetes. We specifically focus on the significance of alterations of adipokines and immunocompetent cells number and phenotype in fat. Detailed understanding of the role of adipose tissue in gestational diabetes may provide new insights into its pathophysiology and open new possibilities of its prevention and treatment.

SHBG expression is correlated with PI3K/AKT pathway activity in a cellular model of human insulin resistance

Decreased sex hormone-binding globulin (SHBG) expression is an independent risk factor for gestational diabetes mellitus(GDM).However, the mechanisms that link low SHBG expression and insulin resistance in GDM is unclear. In this study, we investigated the placenta SHBG in the PI3K/AKT pathway to reveal the mechanism that links decreased SHBG to insulin resistance. A insulin resistance cells model was established by the method of insulin stimulation. Two groups were set up, HTR8/Svneo cells and insulin-resistance cells of HTR8/SVneo. The expression of SHBG and PI3K/AKT associated factors were detected using real-time PCR and western blotting and their correlations were analyzed. The results showed that SHBG protein and mRNA levels in insulin resistance cells were both significantly lower. Along with decreased SHBG expression, the mRNA and protein levels of IRS-1, IRS-2, PI3Kp85α and GLUT-3, GLUT-4 decreased significantly. However, the expression of GLUT-1 increased significantly. Pearson correlation analysis showed that SHBG mRNA expression was positively correlated with IRS-1, IRS-2 and PI3Kp85α mRNA levels. According to the results, low SHBG expression not only participates in the development of local insulin resistance, but may also play an important role in PI3K/AKT pathway-mediated systemic insulin resistance and gestational diabetes.

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.

Maternal hand grip strength in pregnancy, newborn sex and birth weight

AIM

Hand grip strength (HGS) is a non-invasive measure of physical strength, overall health, and nutritional status. The aim of the study was to test if HGS and its changes in pregnancy are related with offspring sex and birth weight.

METHODS

We conducted longitudinal study on 95 healthy pregnant women (mean age 29.57 ± 3.43). HGS was measured in each trimester. A woman's height and changes in weight in pregnancy were also measured. The information on a child's sex, birth weight and the pregnancy week at delivery were derived from hospital records. Fifty one women delivered a boy, and forty four women delivered a girl.

RESULTS

HGS decreased from the first to the third trimester of pregnancy (F(2,188) = 15.94, p < 0.001). Women with greater HGS in each trimester were more likely to give birth to a boy (p < 0.05), and the decrease in HGS in pregnancy was comparable in the two groups of mothers (F(2,186) = 1.39, p = 0.25). HGS in pregnancy was related with offspring birth weight when controlled for a child's sex and week at delivery (F(2,182) = 3.15, p = 0.04). Maternal height also important predictor of HGS in pregnancy, and the decrease in HGS was only observed in shorter women.

CONCLUSION

The results of this study indicate that HGS is a sensitive marker, differentiating the variation in physical condition in healthy, well-fed pregnant women in affluent population and pregnancy outcome (offspring sex and birth weight). Also, the result indicates that relatively taller women bear lower cost of pregnancy and are able to invest more in developing foetus.

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.

Family history of diabetes and the risk of gestational diabetes mellitus in Iran: A systematic review and meta-analysis

OBJECTIVE

Gestational diabetes is the most prevalent metabolic disorder being firstly diagnosed during pregnancy. The relationship between the family history of diabetes and the gestational diabetes mellitus (GDM) has been investigated in several primary studies with a number of contradictions in the results. Hence, the purpose of the present study is to determine the relationship between the GDM and the family history of diabetes using the meta-analysis method.

METHOD

All published papers in main national and international databases were systematically searched with some specific keywords to find the related studies between 2000 and 2016. We calculated the odds ratio (OR) with 95% confidence interval (CI) in analysis for each study using a random-effect and Mantel-Haenzel method. We also determined heterogeneity among these 33 articles and their publication bias.

RESULTS

We entered 33 relevant studies of 2516 articles into the meta-analysis process including 2697 women with family history of diabetes mellitus as well as 29134 women without. Of them, 954 and 4372 subjects developed GDM respectively. Combining the results of the primary studies using the meta-analysis method, the overall odds ratio of family history for developing GDM was estimated as of 3.46 (95% CI: 2.80-4.27).

CONCLUSION

This meta-analysis study revealed that the family history of diabetes is an important risk factor for the gestational diabetes mellitus.

Screening for gestational diabetes in Tuscany, Italy. A population study

AIMS

According to current Italian guidelines, only women at higher risk of gestational diabetes (GDM) are eligible for receiving a glucose tolerance test (OGTT) during pregnancy. This study evaluates the compliance to national guidelines, additionally proposing an algorithm able to identify women with GDM.

METHODS

The study included 23,270 pregnant women aged >15yr, resident in Tuscany, a region in central Italy, delivering in year 2015, identified by certificates of care at delivery. Eligibility to screening was evaluated by fulfillment to regional guidelines recommending a 2-h-75g-OGTT only in presence of risk factors. Additionally, a validated algorithm is proposed to diagnose GDM from regional administrative databases.

RESULTS

Glucose tolerance was tested in 79.2% of women. Eligibility criteria were fulfilled in 55.6% of OGTT performers and in 40.2% of those who didn't perform any OGTT. Performers' rate increased with age, body weight, higher education degree and in those followed by a well defined clinical setting. Housewives and students had a lower chance of receiving an OGTT. Algorithm identified GDM in 11% of women, ranging from 14% among eligible and 7% among non-eligible ones.

CONCLUSION

Selective screening for GDM is not being currently applied in Tuscany. Despite the percentage of eligible women by national guidelines was 55%, the rate of those who performed the screening was about 80%, with a 40% of low risk women continuing to be screened. Moreover, GDM rate, calculated by algorithm, was relatively large (7%) among non-eligible women, suggesting the need of universal glucose screening to adequately capture all GDM cases.

Determinants of gestational diabetes mellitus: a case-control study

BACKGROUND

Gestational diabetes mellitus (GDM) is glucose intolerance first recognized during pregnancy. The objective of this study was to identify the determinant factors of GDM.

METHODS

An unmatched case-control study was conducted. Descriptive statistics were used to describe the profile of study participants and binary logistic regression was used to identify the determinants of GDM.

RESULTS

GDM was associated with history of abortion (AOR 5.05 [95% CI: 2.65-9.63]), family history of diabetes mellitus (AOR 8.63 [95% CI: 5.19-14.35]), chronic hypertension (AOR 4.63 [95% CI: 1.27-16.86]), dietary diversification score (AOR 2.96 [95% CI: 2-4.46]), regular physical exercise (AOR 0.03 [95% CI: 0.01-0.04]), history of infertility (AOR 6.19 [95%CI: 1.86-20.16]), history of Caesarean section (AOR 3.24 [95% CI: 1.58-6.63]), previous history of GDM (AOR 8.21 [95% CI: 3.18-21.24]), previous history of intrauterine fetal death (AOR 3.96 [95% CI: 1.56-10.04]), literacy (AOR 0.6 [95% CI: 0.43-0.85]), body mass index (AOR 2.96 [95% CI: 2.08-4.2]), parity (AOR 1.78 [95% CI: 1.3-2.49]).

CONCLUSIONS

Regular physical exercise should be used as the main tool in preventing GDM.

Prevalence of gestational diabetes mellitus in Europe: A meta-analysis

AIMS

Estimates of the prevalence of gestational diabetes vary widely. It is important to have a clear understanding of the prevalence of this condition to be able to plan interventions and health care provision. This paper describes a meta-analysis of primary research data reporting the prevalence of gestational diabetes mellitus in the general pregnant population of developed countries in Europe.

METHODS

Four electronic databases were systematically searched in May 2016. English language articles reporting gestational diabetes mellitus prevalence using universal screening in general pregnant population samples from developed countries in Europe were included. All papers identified by the search were screened by one author, and then half screened independently by a second author and half by a third author. Data were extracted by one author. Values for the measures of interest were combined using a random effects model and analysis of the effects of moderator variables was carried out.

RESULTS

A total of 3258 abstracts were screened, with 40 studies included in the review. Overall prevalence of gestational diabetes mellitus was 5.4% (3.8-7.8). Maternal age, year of data collection, country, area of Europe, week of gestation at testing, and diagnostic criteria were found to have a significant univariate effect on GDM prevalence, and area, week of gestation at testing and year of data collection remained statistically significant in multivariate analysis. Quality category was significant in multivariate but not univariate analysis.

CONCLUSIONS

This meta-analysis shows prevalence of GDM that is at the upper end of previous estimates in Europe.

High Prevalence of Gestational Diabetes Mellitus in Beijing: Effect of Maternal Birth Weight and Other Risk Factors

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with both short- and long-term adverse health consequences for both the mother and her offspring. The aim was to study the prevalence and risk factors for GDM in Beijing.

METHODS

The study population consisted of 15,194 pregnant women attending prenatal care in 15 hospitals in Beijing, who delivered between June 20, 2013, and November 30, 2013, after 28 weeks of gestation. The participants were selected by cluster sampling from the 15 hospitals identified through random systematic sampling based on the number of deliveries in 2012. A questionnaire was designed to collect information.

RESULTS

A total of 2987 (19.7%) women were diagnosed with GDM and 208 (1.4%) had diabetes in pregnancy (DIP). Age (OR: 1.053, 95% CI: 1.033-1.074, P < 0.01), family history of diabetes mellitus (OR: 1.481, 95% CI: 1.254-1.748, P < 0.01), prepregnancy body mass index (BMI) (OR: 1.481, 95% CI: 1.254-1.748, P < 0.01), BMI gain before 24 weeks (OR: 1.126, 95% CI: 1.075-1.800, P < 0.01), maternal birth weight (P < 0.01), and fasting plasma glucose at the first prenatal visit (P < 0.01) were identified as risk factors for GDM. In women with birth weight <3000 g, GDM rate was significantly higher.

CONCLUSIONS

One out of every five pregnant women in Beijing either had GDM or DIP and this constitutes a huge health burden for health services. Prepregnancy BMI and weight gain before 24th week are important modifiable risk factors for GDM. Ensuring birth weight above 3000 g may help reduce risk for future GDM among female offsprings.

Awareness of Gestational Diabetes and its Risk Factors among Pregnant Women in Samoa

Gestational diabetes mellitus (GDM) is a subtype of diabetes mellitus defined as the development, or first recognition, of glucose intolerance during pregnancy. The risk of developing type 2 diabetes mellitus (T2DM) is greater in mothers with GDM compared to the general population. Preventing the development of GDM could help lower the prevalence of T2DM and long-term morbidity in children of affected mothers. The purpose of this study was to investigate the awareness of GDM and its risk factors among pregnant women in Samoa, exploring where participants obtained information, and understanding their attitudes towards diet and physical activity. A quantitative cross-sectional study of 141 women attending Tupua Tamasese Meaole (TTM) hospital in Apia, Samoa in May 2015 was performed. Fifty-eight percent women were aware diabetes can occur for the first time during pregnancy. The greatest information source was from doctors (37%, n=44) followed by family members (22%, n=28), based on 118 respondents. Only one woman correctly identified all four risk factors for GDM. Most women recognized eating a healthy diet (79%) and regular physical activity (78%) to be appropriate lifestyle changes to help prevent GDM. These findings suggest awareness of GDM among pregnant women in Samoa is mixed, with a very small proportion having good knowledge (based on the number of risk factors identified). We conclude that increased education about GDM is necessary, both in hospital clinics and within the community. By increasing awareness of GDM, it may be possible to decrease the prevalence of T2DM in Samoa.

Windows of Opportunity for Lifestyle Interventions to Prevent Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is linked with several acute maternal health risks and long-term development of type 2 diabetes, metabolic syndrome, and cardiovascular disease. Intrauterine exposure to GDM similarly increases offspring risk of early-life health complications and later disease. GDM recurrence is common, affecting 40 to 73% of women, and augments associated maternal/fetal/child health risks. Modifiable and independent risk factors for GDM include maternal excessive gestational weight gain and prepregnancy overweight and obesity. Lifestyle interventions that target diet, activity, and behavioral strategies can effectively modify body weight. Randomized clinical trials testing the effects of lifestyle interventions during pregnancy to reduce excessive gestational weight gain have generally shown mixed effects on reducing GDM incidence. Trials testing the effects of postpartum lifestyle interventions among women with a history of GDM have shown reduced incidence of diabetes and improved cardiovascular disease risk factors. However, the long-term effects of interpregnancy or prepregnancy lifestyle interventions on subsequent GDM remain unknown. Future adequately powered and well-controlled clinical trials are needed to determine the effects of lifestyle interventions to prevent GDM and identify pathways to effectively reach reproductive-aged women across all levels of society, before, during, and after pregnancy.

A new predictive tool for the early risk assessment of gestational diabetes mellitus

AIMS

The Italian National Institute of Health has recently introduced a selective screening based on the risk profile of pregnant women, which while recommending against screening of women at low risk (LR) for GDM, it recommends an early test for women at high risk (HR) for GDM. Herein, we assessed the accuracy and cost-effectiveness of this screening and developed a new index that improves these requirements.

METHODS

We retrospectively enrolled 3974 pregnant women. GDM was diagnosed with a 2h 75-g OGTT at 16-18 weeks (early test) or 24-28 weeks of gestation, according to the IADPSG guidelines.

RESULTS

55.6% of HR women had GDM, although only 38.4% underwent early screening. Among 2654 women at medium risk, 20.9% had GDM; paradoxically, among 770 LR women, that would not have been screened, 26.6% received a GDM diagnosis. Based on these unsatisfactory results, we elaborated the Capula's index, that reduced both screening tests (p<0.001) and potentially undetected GDM cases (p<0.001), and corrected the paradoxical prevalence estimates of GDM obtained with the current Italian guidelines. Also, Capula's index improved correlation of GDM risk profile with obstetric and neonatal adverse events.

CONCLUSIONS

Capula's index improves accuracy of selective screening for GDM.

First trimester depression scores predict development of gestational diabetes mellitus in pregnant rural Appalachian women

Gestational diabetes (GDM) occurs in up to 9% of pregnancies. Perinatal depression affects up to 20% of women during pregnancy, and can extend into the postpartum period. A number of studies have linked depression and diabetes, however, whether this applies to GDM or which might come first is less understood. The purpose of this study was to examine the potential relationship between depression identified in the first trimester of pregnancy and the subsequent development of GDM. Women without pre-existing Type I/II diabetes (n = 1021) were evaluated for depression during the first trimester of pregnancy, and medical records were reviewed to identify a positive history of diabetes. Women identified as depressed during the first trimester were more likely to have GDM compared to those not depressed. After controlling for demographic factors and weight-related variables level of depression in the first trimester still predicted later GDM development. Depression identified in early pregnancy may predict increased risk of subsequent GDM development. Due to the numerous maternal, fetal and neonatal complications associated with GDM, early recognition is essential to promote the best possible outcomes for mother and infant. Recognizing depression as a possible risk factor for GDM development could lead to earlier screening and preventative measures.

Magnesium in pregnancy

Magnesium deficiency is prevalent in women of childbearing age in both developing and developed countries. The need for magnesium increases during pregnancy, and the majority of pregnant women likely do not meet this increased need. Magnesium deficiency or insufficiency during pregnancy may pose a health risk for both the mother and the newborn, with implications that may extend into adulthood of the offspring. The measurement of serum magnesium is the most widely used method for determining magnesium levels, but it has significant limitations that have both hindered the assessment of deficiency and affected the reliability of studies in pregnant women. Thus far, limited studies have suggested links between magnesium inadequacy and certain conditions in pregnancy associated with high mortality and morbidity, such as gestational diabetes, preterm labor, preeclampsia, and small for gestational age or intrauterine growth restriction. This review provides recommendations for further study and improved testing using measurement of red cell magnesium. Pregnant women should be counseled to increase their intake of magnesium-rich foods such as nuts, seeds, beans, and leafy greens and/or to supplement with magnesium at a safe level.

The Role of Physical Activity in Preconception, Pregnancy and Postpartum Health

The rise in obesity and associated morbidity is currently one of our greatest public health challenges. Women represent a high risk group for weight gain with associated metabolic, cardiovascular, reproductive and psychological health impacts. Regular physical activity is fundamental for health and well-being with protective benefits across the spectrum of women's health. Preconception, pregnancy and the early postpartum period represent opportune windows to engage women in regular physical activity to optimize health and prevent weight gain with added potential to transfer behavior change more broadly to children and families. This review summarizes the current evidence for the role of physical activity for women in relation to preconception (infertility, assisted reproductive therapy, polycystic ovary syndrome, weight gain prevention and psychological well-being) pregnancy (prevention of excess gestational weight gain, gestational diabetes and preeclampsia as well as labor and neonatal outcomes) and postpartum (lactation and breastfeeding, postpartum weight retention and depression) health. Beneficial outcomes validate the importance of regular physical activity, yet key methodological gaps highlight the need for large, high-quality studies to clarify the optimal type, frequency, duration and intensity of physical activity required for beneficial health outcomes during preconception, pregnancy and postpartum.

Need for testing glucose tolerance in the early weeks of pregnancy

AIMS

This observational study aims to determine the frequency of occurrence of glucose intolerance in the early weeks of pregnancy.

MATERIALS AND METHODS

New World Health Organization 2013 guidelines recommends "A Single Step Procedure" (SSP) as an option for diagnosing gestational diabetes mellitus (GDM). Pregnant women attending 131 prenatal clinics across India for the first time underwent SSP consisting of administration of 75 goral glucose irrespective of the last meal timing and to diagnose GDM with 2 h plasma glucose (PG) value ≥7.8 mmol/L (7.8 mmol/L).

RESULTS

In a cohort of n = 11,785, the number of pregnant women who underwent the test in first, second, and third trimesters were 4300, 4632, and 2853, respectively. Documented blood glucose values were available for 9282 pregnant women and in them, diagnosis of GDM was made in 740 (8%). Among them, 233 (31.5%), 320 (43.2%), and 187 (25.3%) were in the first, second and third trimesters, respectively. Positive family history of diabetes (43%) and history of fetal loss in previous pregnancy (27%) was more common in women diagnosed with GDM in the first trimester compared to GDM diagnosed in the second or third trimester.

CONCLUSION

Manifestation of GDM in the early weeks of gestation is quite common.

Excessive gestational weight gain prior to glucose screening and the risk of gestational diabetes: a meta-analysis

AIMS/HYPOTHESIS

Excessive gestational weight gain (GWG) may be a risk factor for gestational diabetes mellitus (GDM). We aimed to study the association between excessive GWG (defined according to Institute of Medicine recommendations) prior to GDM screening, and GDM.

METHODS

We systematically searched four electronic databases from 1990 until September 2014 for observational studies published in English or German that reported an association between excessive GWG and GDM as the outcome. Random effects meta-analyses were performed to provide a pooled estimate of the OR comparing the risk of GDM in women with and without excessive GWG.

RESULTS

A total of eight studies involving 13,748 participants were included. The pooled analysis of unadjusted OR yielded a summary OR of 1.40 (95% CI 1.21, 1.61; p < 0.001) with low between-study heterogeneity (I(2) = 16.7%). A sensitivity analysis based on four studies reporting adjusted effect estimates revealed similar results (OR 1.42; 95% CI 1.20, 1.68; p < 0.001; I(2) = 0%). No evidence was found that the effect of GWG on GDM differs depending on maternal pre-pregnancy BMI category. A funnel plot did not indicate substantial publication bias.

CONCLUSIONS/INTERPRETATION

Avoiding excessive weight gain in pregnancy prior to the GDM screening test may be a potential strategy to reduce GDM risk. META-ANALYSIS REGISTRATION: www.crd.york.ac.uk/PROSPERO CRD42014008802.

Exploring the Psychosocial Predictors of Gestational Diabetes and Birth Weight

OBJECTIVE

To determine the best sociodemographic and behavioral predictors for gestational diabetes mellitus (GDM) and birth weight (BW) and whether stress, depression, or abuse influences GDM and BW after controlling for sociodemographic variables.

DESIGN

Retrospective correlational.

SETTING

Utah Pregnancy Risk Monitoring System and birth certificate data.

PARTICIPANTS

We analyzed data from the birth certificates of 4,682 women with live births between 2009 and 2011 in Utah. During that time, a total of 143,373 live births occurred in the state. Data were predominantly from non-Hispanic White, married, or partnered women with average age of 27.5 years and average body mass index (BMI) of 25.1.

METHODS

Stress, cumulative depression, and abuse were operationalized based on previous analysis, and control and covariate data (e.g., age, BMI, race, ethnicity, education, marital status) were collected. Bivariate analysis was used to identify associations between variables, and a hierarchical stepwise logistical regression was conducted to identify best predictors of GDM and BW.

RESULTS

We did not find that cumulative depression, stress, or abuse was a predictor of GDM, and only cumulative stress was a predictor of BW. More incidences of GDM were observed in women who were poor, older, less educated, non-White, obese, or experienced depression during pregnancy.

CONCLUSION

Unlike depression or abuse, stress is often overlooked by providers. This finding represents an unmet opportunity for nurses to screen for and assist women with stressors to positively affect birth weight.

Pregnancy and Obstetrical Outcomes in Women Over 40 Years of Age

Introduction: Delayed childbearing is increasing, and advanced maternal age has been associated with an increased risk of obstetrical complications. The purpose of this study was to evaluate pregnancy outcomes in women with advanced maternal age (≥ 40 years). Methods: Maternal and obstetrical data were collected from the Department of Obstetrics and Gynecology of the University of Wuerzburg for the period from 2006 to 2011. In this retrospective analysis we compared the outcomes for women aged ≥ 40 years (n = 405) with those of three younger subgroups (I: < 30 y; II: 30-34 y; III: 35-39 y). Results: Pregnant women older than 40 years had more chronic diseases such as hypertension, needed medical treatment more frequently and had a higher thrombosis risk. Pregnancy-induced diseases such as gestational diabetes, preeclampsia and pregnancy-associated hypertension occurred more often in women ≥ 40 years of age. Compared to mothers who were younger than 30 years, primiparous women ≥ 40 years had a more than four times higher overall cesarean section rate and four times higher elective cesarean section rate. Furthermore, they required longer hospital stays, both after cesarean section and after vaginal delivery. The preterm birth rate (≤ 32 weeks of gestation) was similar across the different age groups. Conclusions: The outcomes of pregnancy and childbirth and for newborns born to women ≥ 40 years did not vary significantly from those of younger women if the following conditions were met: a) pre-existing chronic diseases were treated medically and dietetically; b) pregnancy-induced morbidity was monitored regularly and controlled medically; c) women attended regular prenatal check-ups; d) a healthy lifestyle was adhered to during pregnancy, and e) delivery occurred in a perinatal center.