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Background: Recent studies have shown a high prevalence of Type-2-diabetes (T2DM) (24%) and prediabetes (18.1%) in Kerala. There is no community based study from South Asia regarding the prevalence of type 2 diabetes and its precursors in the young adult population. This community based study was done to find the prevalence of type 2 diabetes and its precursors in South Indian adult youth (18-30 years age) of Thiruvananthapuram district. Research Design and Methods: Cross sectional design was used for this study. Multistage cluster sampling was used to enrol community dwelling youth of 18 to 30 years, residing in Thiruvananthapuram district. Six panchayath wards from rural and urban regions and 4 from coastal area were randomly selected as the primary sampling units. Trained staff nurses conducted the survey with the help of accredited-social-health-activists (ASHA). Socio-demographic data, anthropometry, clinical features of insulin resistance, and random capillary glucose (CG) and blood pressure were assessed and recorded. Oral Glucose tolerance test or HbA1c was done for participants with a CG =130 mg/dl for diagnosis of diabetes and prediabetes. Results: A total of 1031 participants were included from the rural (n = 394), coastal (n = 269) and urban (n = 368) areas. Prevalence of hyperglycaemia i.e., T2DM and pre-diabetes was 0.48% (n = 5) and 2.4% (n = 25) respectively. Family-history of T2DM was present in 35.1% subjects. Prevalence of overweight, obesity and abdominal-obesity was 28.2%, 16.1% and 28.4% respectively. Clinical-features of insulin resistance (CFIR) were present in 27.1% subjects (acanthosis [17.7%], skin tags [1.7%] and PCOS phenotype [10.7%]). Among various anthropometric measurements and their derivatives, CFIR correlated best (r = 0.24, P < 0.01) with the product of BMI and the sum of abdominal circumference and hip circumference (Trivandrum Medical College [TMC] -adiposity-index), which is a newly proposed parameter. Hyperglycaemia was more common in males, did not correlate with waist hip ratio, and correlated best again with TMC-adiposity-index ((r = 0.13, P < 0.01). Conclusions: The burden of insulin resistance in the young South Indian population, hitherto unknown in any community based study, has been studied for the first time. The prevalence of precursors of T2DM is high in this population. Early identification of 'at risk' individuals could provide a window of opportunity for preventing or delaying future diabetes and its long term complications. TMC adiposity index could become a valuable tool in the anthropometric assessment for predicting future T2DM. [ABSTRACT FROM AUTHOR]

Introduction: Type 2 diabetes mellitus (T2DM) has affected many people worldwide. One population that is greatly affected by T2DM is the Asian Indian population. The relative effects of genetics and environment on the development of diabetes in adults are not completely understood. Objectives: We conducted an analysis to determine if location, through the environment and different diets, affects T2DM inheritance in Asian Indians. We hypothesised that the prevalence of T2DM depended on location. Materials and Methods: We analysed previously collected data on T2DM in the individual states of India and the U.S. and used this information to compare the prevalence of T2DM in Asian Indians living in these two countries. Results: A total of 1,117,465,226 individuals were surveyed in India. Of these, 108,295,674 individuals had T2DM. Similarly, of the 1,704,846 individuals in the US, 298,107 had T2DM. The prevalence of T2DM was 17.49% in Asian Indians living in the US compared to 9.69% for Indians living in India (P < 0.00001). In individuals with similar genetic backgrounds, environmental factors significantly influence the development of T2DM. [ABSTRACT FROM AUTHOR]

Introduction: Although not definitive, there is small increased risk of acute pancreatitis with the use of dipeptidyl peptidase 4 inhibitors (DPP4i). Hence, there is an interest in the elevation of pancreatic enzymes among type 2 diabetes mellitus (T2DM) patients using DPP4i. However, the studies regarding their association are limited and provide conflicting results. Moreover, there are no such studies among South Indian T2DM patients. Hence, we evaluated the prevalence of hyperamylasemia among South Indian T2DM patients and its association with DPP4i use. Methods: This cross-sectional study was conducted at a tertiary health care center from South India. Adult T2DM patients on stable doses of antidiabetic medications for at least previous 3 months were included in the study. Patients with other types of diabetes mellitus, gall stones, diabetic ketoacidosis, acute illness, chronic kidney disease and untreated hypothyroidism were excluded from the study. All participants were evaluated with glycemic parameters, serum creatinine and serum amylase. Hyperamylasemia was defined as serum amylase ≥220 U/L. Results: A total of 200 participants were included in the study among whom 93 patients were not on DPP4i whereas 107 were on DPP4i including 41 (38.32%) each on teneligliptin and sitagliptin. Baseline characteristics including glycemic measures were comparable between DPP4i users and nonusers. A total of 14 patients (7%) had hyperamylasemia but the prevalence of hyperamylasemia did not differ between DPP4i users and nonuser (6/107 vs. 8/93, P = 0.42). Conclusions: Asymptomatic hyperamylasemia is not uncommon in South Indian T2DM patients but is not associated with the use of DPP4i. [ABSTRACT FROM AUTHOR]

In recent years, numerous studies have explored the quality of life (QoL) in those with diabetes mellitus. The aim of this scoping review was to explore the current state of knowledge on QoL and its various associated factors among people with diabetes in India. Three databases were searched (PubMed, Scopus, and Medline) and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. A total of 41 articles were included in the review. The included studies were largely conducted in the Southern states and mainly investigated individuals with type 2 diabetes. The World Health Organization Quality of Life (WHOQOL-BREF) and Short Form Health Survey (SF-36) were the instruments used most often. In general, the studies showed that people with diabetes had poorer QoL than those without diabetes, and women with diabetes reported poorer QoL than men, consistent with findings across the world. However, the studies had significant methodological flaws which limit the validity and generalizability of the findings. Therefore, there is an urgent need to conduct high-quality QoL studies which are representative of all states of India as well as different types of diabetes in India in order to address this gap in the evidence. [ABSTRACT FROM AUTHOR]

Introduction: Type 2 diabetes is a heterogeneous disease and its categorization into different clusters has revealed distinct subgroups from all over the world including India but no such study has been done till date in north India. Aims and Objectives: To identify clusters intype 2 diabetes mellitus by k means clustering and to describe different characteristics of patients in each of the identified clusters. Methods: Optimal number of clusters i.e., the K value was decided by two step clustering and the subtypes of the clusters were obtained by K means clustering using SPSS version 29 software. Variables which were used for clustering were age atdiagnosis, BMI, HbA1c, HOMA islet and HOMA insulin resistance (based on fasting C-peptide levels) along with waist circumference which has important role in type 2 diabetes mellitus physiology in south east Asians. Results: Total number of participants were 520, out of which 47.7% were males and females were 52.3%. The optimal number of clusters i.e., K = 4 was determined based on silhouette width. Using this K value K means clustering was done which resulted in formation of clusters differing in phenotypic characters. Cluster 1 severe insulin deficient diabetes (SIDD), Cluster 2 Mild age-related diabetes (MARD), Cluster 3 severe insulin resistant diabetes (SIRD), Cluster 4 mild obesity related diabetes (MOD). Phenotypically these clusters were same as defined by Ahlqvist et al in Scandinavian population. When compared with these Swedish clusters, MOD cluster was most common in our study population (37.1% vs 21.6%). SIDD cluster was more common than in Swedish study (21.3% vs 17.5%). In Swedish study MARD cluster was most common (39.1%) where as in our study it constituted 24.2% of patients. Conclusion: This study suggests that clusters in type 2 diabetes can be replicated in different ethnicities and highlights importance of including waist circumference in clustering in Asian Indians. Further studies are needed to look at differences in treatment response when treatment targeting the basic pathophysiological mechanism in different clusters is given to the respective clusters. [ABSTRACT FROM AUTHOR]