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Objective: Diabetes increases the risk of premature mortality and considerably impacts on work productivity. We sought to examine the impact of diabetes in India, in terms of excess premature mortality, years of life lost (YLL), productivity-adjusted life years (PALYs) lost, and its associated economic impact.Research Design and Methods: A life table model was constructed to examine the productivity of the Indian working-age population currently aged 20-59 years with diabetes, followed until death or retirement age (60 years). The same cohort was resimulated, hypothetically assuming that they did not have diabetes. The total difference between the two cohorts, in terms of excess deaths, YLL and PALYs lost reflected the impact of diabetes. Data regarding the prevalence of diabetes, mortality, labor force dropouts, and productivity loss attributable to diabetes were derived from published sources.Results: In 2017, an estimated 54.4 million (7.6%) people of working-age in India had diabetes. With simulated follow-up until death or retirement age, diabetes was predicted to cause 8.5 million excess deaths (62.7% of all deaths), 42.7 million YLL (7.4% of total estimated years of life lived), and 89.0 million PALYs lost (23.3% of total estimated PALYs), equating to an estimated Indian rupee 176.6 trillion (U.S. dollars 2.6 trillion; purchasing power parity 9.8 trillion) in lost gross domestic product.Conclusions: Our study demonstrates the impact of diabetes on productivity loss and highlights the importance of health strategies aimed at the prevention of diabetes. [ABSTRACT FROM AUTHOR]

OBJECTIVE There are few data on the incidence rates of diabetes and prediabetes (dysglycemia) in Asian Indians. This article presents the incidence of diabetes and prediabetes and the predictors of progression in a population-based Asian Indian cohort. RESEARCH DESIGN AND METHODS Data on progression to diabetes and prediabetes from 1,376 individuals, a subset of 2,207 of the Chennai Urban Rural Epidemiology Study (CURES) cohort (phase 3) with normal glucose tolerance (NGT) or prediabetes at baseline, who were followed for a median of 9.1 years (11,629 person-years), are presented. During follow-up, 534 died and 1,077 with NGT and 299 with prediabetes at baseline were reinvestigated in a 10-year follow-up study. Diabetes and prediabetes were diagnosed based on the American Diabetes Association criteria. Incidence rates were calculated and predictors of progression to prediabetes and/or diabetes were estimated using the Cox proportional hazards model. RESULTS The incidence rates of diabetes, prediabetes, and "any dysglycemia" were 22.2, 29.5, and 51.7 per 1,000 person-years, respectively. Among those with NGT, 19.4% converted to diabetes and 25.7% to prediabetes, giving an overall conversion rate to dysglycemia of 45.1%. Among those with prediabetes, 58.9% converted to diabetes. Predictors of progression to dysglycemia were advancing age, family history of diabetes, 2-h plasma glucose, glycated hemoglobin (HbA1c), low HDL cholesterol, and physical inactivity. CONCLUSIONS Asian Indians have one of the highest incidence rates of diabetes, with rapid conversion from normoglycemia to dysglycemia. Public health interventions should target modifiable risk factors to slow down the diabetes epidemic in this population. [ABSTRACT FROM AUTHOR]

OBJECTIVE -- To determine A1C cut points for glucose intolerance in Asian Indians. RESEARCH DESIGN AND METHODS -- A total of 2,188 participants without known diabetes were randomly selected from the Chennai Urban Rural Epidemiology Study. All had fasting plasma glucose (FPG) and 2-h postload plasma glucose measurements after a 75-g load and were classified as having impaired fasting glucose (IFG) (American Diabetes Association [ADA] criteria, FPG ≥ 5.5 and <7 mmol/l, and World Health Organization [WHO] criteria, FPG ge;6.1 and <7 mmol/l), impaired glucose tolerance (IGT) (2-h postload plasma glucose ≥7.8 and < 11.1 mmol/l), or diabetes (FPG ≥7 mmol/l and/or 2-h postload plasma glucose ≥11.1 mmol/ l). A1C was measured using the Bio-Rad Variant machine. Based on receiver operating characteristic curves, optimum sensitivity and specificity were derived for defining A1C cut points for diabetes, IGT, and IFG. RESULTS-- Mean ± SD values of A1C among subjects with normal glucose tolerance, IGT, and diabetes were 5.5 ± 0.4, 5.9 ± 0.6, and 8.3 ± 2.0%, respectively (P[sub trend] < 0.001) with considerable overlap. To identify diabetes based on 2-h postload plasma glucose, the A1C cut point of 6.1% had an area under the curve (AUC) of 0.941 with 88.0% sensitivity and 87.9% specificity. When diabetes was defined as FPG ≥7.0 mmol/l, the A1C cut point was 6.4% (AUC = 0.966, sensitivity 93.3%, and specificity 92.3%). For IGT, AUC = 0.708; for IFG, AUC = 0.632 (WHO criteria) and 0.708 (ADA criteria), and the AIC cut point was 5.6%. CONCLUSIONS -- In Asian Indians, A1C cut points of 6.1 and 6.4% defined diabetes by 2-h postload plasma glucose or FPG criteria, respectively. A value of 5.6% optimally identified IGT or IFG but was <70% accurate. [ABSTRACT FROM AUTHOR]

OBJECTIVE -- Among Europeans, mutations in the hepatocyte nuclear factor-1α (HNF1α) gene are associated with the most common form of maturity-onset diabetes of the young (MODY)3. In Asian Indians, type 2 diabetes occurs earlier and often overlaps with MODY, but the genetics of the latter are unknown. The aim of this study was to estimate the prevalence of Ala98Val polymorphism of the: HNF1α gene in different types of diabetes in Asian Indians. RESEARCH DESIGN AND METHODS -- Genotyping of Ala98Val was done by the PCR-restriction fragment-length polymorphism method in the following groups: 1) MODY, defined as non-insulin-dependent diabetes (age at onset <25 years) and vertical transmission of diabetes through at least three generations (n = 122); 2) very-early-onset type 2 diabetes (age at onset <25 years) without family history (n = 23); 3) early-onset type 2 diabetes (age at onset between 26 and 40 years, n = 171); 4) late-onset type 2 diabetes (age at onset >40 years, n = 133); 5) type 1 diabetes (n = 130); and 6) normal glucose tolerance (n = 130). The frequency of the Val genotypes was compared in the diabetic and control groups. RESULTS -- The frequency of the Val allele was significantly higher in MODY patients (P = 0.0013) compared with control groups. Furthermore, in the total group of patients with type 2-like diabetes (groups 1-4), the Val allele was associated with an earlier diagnosis of diabetes (P = 0.0002). CONCLUSIONS -- Among Asian Indians, the Ala98Val polymorphism of HNF1α gene is associated with MODY and with earlier age at onset of type 2 diabetes. [ABSTRACT FROM AUTHOR]

A letter to the editor is presented in response to the article "Comment on Anjana et al. Incidence of diabetes and prediabetes and predictors of progression among Asian Indians:10-year follow-up of the Chennai Urban Rural Epidemiology Study (CURES)" by D. Dutta and S. Mukhopadhyay in a 2015 issue.

A letter to the editor is presented in response to the article "Incidence of diabetes and prediabetes and predictors of progression among Asian Indians: 10-year follow-up of the Chennai Urban Rural Epidemiology Study (CURES)" by Anjana R.M. and colleagues in a 2015 issue.

The article discusses a study which examined diabetes prevalence rates and risk factors among three of the largest Asian American subgroups in New York City (NYC). Involved in the study were 2,246 Chinese, 408 Koreans, and 277 Asian Indians. To predict a diabetes diagnosis outcome, the researchers performed logistic regression.

Corrections to articles published in previous issues are presented, including "AIC cut points to define various glucose intolerance groups in Asian Indians" and "Effects of long-term fenobibrate treatment on markers of renal function in type 2 diabetes: the FIELD Helsinski substudy.