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Hyperglycemia occurring in pregnancy is a growing burden worldwide. It is now standard of care to screen all women during pregnancy, both to detect preexisting diabetes as well as gestational diabetes mellitus (GDM). Traditionally, GDM was diagnosed at 24-28 weeks. However, with many international bodies recommending screening at first contact or booking, we are now diagnosing GDM earlier on in pregnancy. Based on the time of gestation at which it is diagnosed, GDM can be classified as conventional gestational diabetes mellitus (cGDM) or early gestational diabetes mellitus (eGDM). The cGDM is diagnosed between 24 and 28 weeks of gestation while eGDM is diagnosed in early pregnancy (<20 weeks). Till recently, there was little and conflicting evidence, on whether diagnosing and treating eGDM was beneficial or safe. The recent Treatment of BOoking Gestational diabetes Mellitus (ToBOGM) study, was a randomized control trial, showing clear benefits of diagnosing and treating eGDM. ToBOGM also showed that the best results were seen in those screened before 14 weeks of pregnancy and those in the higher band of glucose levels (FPG 95-109 mg/dL, 1-hour >191 mg/dL, and 2-hour glucose 162-199 mg/dL). In India, where the burden of hyperglycemia in pregnancy is high, the findings from the ToBOGM study further emphasize the need for screening for GDM at the time of first booking of the pregnancy followed by appropriate treatment for those detected to have eGDM. How to cite this article: Hannah W, Pradeepa R, Anjana RM, et al. Early Gestational Diabetes Mellitus: An Update. J Assoc Physicians India 2023;71(9):101-103.
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Diabetes Gestacional , Feminino , Humanos , Gravidez , Glicemia/análise , Diabetes Gestacional/diagnóstico , Diabetes Gestacional/terapia , Diagnóstico Precoce , Teste de Tolerância a Glucose , Índia/epidemiologia , Estudos Clínicos como AssuntoRESUMO
INTRODUCTION: Diabetes is a multifactorial disease with far-reaching consequences. Environmental factors, such as urban or rural residence, influence its prevalence and associated comorbidities. Haryana-a north Indian state-has undergone rapid urbanisation, and part of it is included in the National Capital Region (NCR). The primary aim of the study is to estimate the prevalence of diabetes in Haryana with urban-rural, NCR and non-NCR regional stratification and assess the factors affecting the likelihood of having diabetes among adults. METHODS: This sub-group analysis of the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study (a nationally representative cross-sectional population-based survey) was done for Haryana using data from 3722 participants. The dependent variable was diabetes, while residence in NCR/non-NCR and urban-rural areas were prime independent variables. Weighted prevalence was estimated using state-specific sampling weights and standardized using National Family Health Survey-5 (NFHS-5) study weights. Associations were depicted using bivariate analysis, and factors describing the likelihood of living with diabetes were explored using a multivariable binary logistic regression analysis approach. RESULTS: Overall, the weighted prevalence of diabetes in Haryana was higher than the national average (12.4% vs. 11.4%). The prevalence was higher in urban (17.9%) than in rural areas (9.5%). The prevalence of diabetes in rural areas was higher in the NCR region, while that of prediabetes was higher in rural non-NCR region. Urban-rural participants' anthropometric measurements and biochemical profiles depicted non-significant differences. Urban-rural status, age and physical activity levels were the most significant factors that affected the likelihood of living with diabetes. CONCLUSIONS: The current analysis provides robust prevalence estimates highlighting the urban-rural disparities. Urban areas continue to have a high prevalence of diabetes and prediabetes; rural areas depict a much higher prevalence of prediabetes than diabetes. With the economic transition rapidly bridging the gap between urban and rural populations, health policymakers should plan efficient strategies to tackle the diabetes epidemic.
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INTRODUCTION: Country-specific evidence-based research is crucial for understanding the role of nonnutritive sweeteners (NNS) in managing type 2 diabetes (T2D). The main aim of this study was to explore the effect of replacing sucrose with sucralose in coffee/tea in Asian Indians with type 2 diabetes (T2D). METHODS: This 12-week, parallel-arm randomized controlled trial included 210 participants with T2D, assigned to the intervention group, where sugar/sucrose in coffee or tea was substituted with sucralose, or the control group, where sugar/sucrose was continued. Lifestyle factors remained unchanged. The primary outcome was change in HbA1c. Secondary outcomes were changes in body weight (BW), body mass index (BMI), waist circumference (WC), lipid profiles, and inflammatory markers. RESULTS: At the end of 12 weeks, no change was observed in HbA1c, fasting plasma glucose, lipid profile, and inflammatory markers between or within groups. There was a small but significant reduction in BW (- 0.5 kg [95% CI - 1.0, - 0.1]; p = 0.02), BMI (- 0.2 kg/m2 [- 0.4, 0.0]; p = 0.03), and WC (- 0.8 cm [- 1.4, - 0.3]; p = 0.002) in the intervention group. Improvements were also observed in lipid accumulation product (p = 0.01), visceral adiposity index (p = 0.04), triglyceride/glucose index (p = 0.04), total energy intake (p = 0.04), and carbohydrate intake (p < 0.0001). CONCLUSIONS: In Asian Indians with T2D, replacing about 60 kcal of added sucrose with sucralose in coffee/ tea had no benefit on glycemia but resulted in a small reduction in body weight, body mass index, and waist circumference. TRIAL REGISTRATION: Clinical Trials Registry of India (CTRI/2021/04/032686).
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Background: The increasing prevalence of diet-related non-communicable diseases (NCDs) in South Asia is concerning, with type 2 diabetes projected to rise to 68%, compared to the global increase of 44%. Encouraging healthy diets requires stronger policies for healthier food environments. Methods: This study reviewed and assessed food environment policies in Bangladesh, India, Pakistan, and Sri Lanka from 2020 to 2022 using the Healthy Food Environment Policy Index (Food-EPI) and compared them with global best practices. Seven policy domains and six infrastructure support domains were considered, employing 47 good practice indicators to prevent NCDs. Stakeholders from government and non-governmental sectors in South Asia (n = 148) were invited to assess policy and infrastructure support implementation using the Delphi method. Findings: Implementation of food environment policies and infrastructure support in these countries was predominantly weak. Labelling, monitoring, and leadership policies received a moderate rating, with a focus on food safety, hygiene, and quality rather than obesity prevention. Key policy gaps prioritized for attention included front-of-pack labelling, healthy food subsidies, unhealthy food taxation, restrictions on unhealthy food promotion, and improvements in school nutrition standards to combat NCDs. Interpretation: Urgent action is required to expand food policies beyond hygiene and food security measures. Comprehensive strategies targeting NCD prevention are crucial to combat the escalating burden of NCDs in the region. Funding: This research was funded by the NIHR (16/136/68 and 132960) with aid from the UK Government for global health research. Petya Atanasova also acknowledges funding from the Economic and Social Research Council (ESRC) (ES/P000703/1). The views expressed are those of the authors and not necessarily of the NIHR, the UK government or the ESRC.