Diabetes in Asian Indians-How much is preventable? Ten-year follow-up of the Chennai Urban Rural Epidemiology Study (CURES-142).

We sought to evaluate the contribution of various modifiable risk factors to the partial population attributable risk (PARp) for diabetes in an Asian Indian population. Of a cohort of 3589 individuals, representative of Chennai, India, followed up after a period of ten years, we analyzed data from 1376 individuals who were free of diabetes at baseline. A diet risk score was computed incorporating intake of refined cereals, fruits and vegetables, dairy products, and monounsaturated fatty acid. Abdominal obesity was found to contribute the most to incident diabetes [Relative Risk (RR) 1.63(95%CI 1.21-2.20)]; (PARp 41.1% (95%CI 28.1-52.6)]. The risk for diabetes increased with increasing quartiles of the diet risk score [highest quartile RR 2.14(95% CI 1.26-3.63)] and time spent viewing television [(RR 1.84(95%CI 1.36-2.49] and sitting [(RR 2.09(95%CI 1.42-3.05)]. The combination of five risk factors (obesity, physical inactivity, unfavorable diet risk score, hypertriglyceridemia and low HDL cholesterol) could explain 80.7% of all incident diabetes (95%CI 53.8-92.7). Modifying these easily identifiable risk factors could therefore prevent the majority of cases of incident diabetes in the Asian Indian population. Translation of these findings into public health practice will go a long way in arresting the progress of the diabetes epidemic in this region.

Reliability and validity of a new physical activity questionnaire for India.

BACKGROUND: Measurement of physical activity in epidemiological studies requires tools which are reliable, valid and culturally relevant. We attempted to develop a physical activity questionnaire (PAQ) that would measure physical activity in various domains over a year and which would be valid for use in adults of different age groups with varying levels of activity in urban and rural settings in low and middle income countries like India. The present paper aims to assess the reliability and validity of this new PAQ- termed the Madras Diabetes Research Foundation- Physical Activity Questionnaire (MPAQ). METHODS: The MPAQ was administered by trained interviewers to 543 individuals of either gender aged 20 years and above from urban and rural areas in 10 states of India from May to August 2011, followed by a repeat administration within a month for assessing reliability. Relative validity was performed against the Global Physical Activity Questionnaire (GPAQ). Construct validity was tested by plotting time spent in sitting and moderate and vigorous physical activity (MVPA) against body-mass index (BMI) and waist circumference. Criterion validity was assessed using the triaxial accelerometer, in a separate subset of 103 individuals. Bland and Altman plots were used to assess the agreement between MPAQ and accelerometer. RESULTS: The interclass correlation coefficients (ICC) for total energy expenditure and physical activity levels were 0.82 and 0.73 respectively, between baseline and 1st month. The ICC between GPAQ and the MPAQ was 0.40 overall. The construct validity of the MPAQ showed linear association between sitting and MVPA, and BMI and waist circumference independent of age and gender. The Spearman's correlation coefficients for sedentary activity, MVPA and overall PA for MPAQ against the accelerometer were 0.48 (95%CI-0.32-0.62), 0.44 (0.27-0.59) and 0.46 (0.29-0.60) respectively. Bland and Altman plots showed good agreement between MPAQ and accelerometer for sedentary behavior and fair agreement for MVPA. CONCLUSION: The MPAQ is an acceptable, reproducible and valid instrument, which captures data from multiple activity domains over the period of a year from adults of both genders and varying ages in various walks of life residing in urban and rural India.

Incidence of Diabetes and Prediabetes and Predictors of Progression Among Asian Indians: 10-Year Follow-up of the Chennai Urban Rural Epidemiology Study (CURES).

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.

Regularity of follow-up, glycemic burden, and risk of microvascular complications in patients with type 2 diabetes: a 9-year follow-up study.

AIMS: To assess the relationship between regularity of follow-up and risk of complications in patients with type 2 diabetes (T2DM) followed up for 9 years at a tertiary diabetes center in India. METHODS: We compared glycemic burden [cumulative time spent above a HbA1c of 53 mmol/mol (7 %)] and incidence of diabetes complications (retinopathy, neuropathy, nephropathy, peripheral arterial disease, coronary heart disease) between 1,783 T2DM patients with "regular follow-up" (minimum of three visits and two HbA1c tests every year from 2003 to 2012), and 1,798 patients with "irregular follow-up" (two visits or less and one HbA1c or less per year during the same time period), retrospectively identified from medical records. Cox proportional hazards models were used to estimate risk associated with diabetes complications. RESULTS: Compared to those with regular follow-up, the irregular follow-up group had significantly higher mean fasting and postprandial plasma glucose, HbA1c, glycemic burden, total and LDL cholesterol, and triglycerides at every time point during the 9 years of follow-up. Those with irregular follow-up had double the total and mean monthly glycemic burden and 1.98 times higher risk of retinopathy (95 % CI 1.62, 2.42) and 2.11 times higher risk of nephropathy (95 % CI 1.73, 2.58) compared to those with regular follow-up, even after adjusting for time-varying confounding variables. Complications tended to develop significantly earlier and were more severe in those with irregular follow-up. CONCLUSION: Among patients with type 2 diabetes, regular follow-up was associated with significantly lower glycemic burden and lower incidence of retinopathy and nephropathy over a 9-year period.

Use of a large diabetes electronic medical record system in India: clinical and research applications.

BACKGROUND: The diabetes electronic medical record (DEMR) has emerged as an effective information management tool with the potential to improve diabetes care and research. This study reports on the usefulness of the DEMR system at Dr. Mohan's Diabetes Specialities Centre (DMDSC), Chennai, India, for clinical and research purposes. METHODS: The DEMR, set up in 1996 at DMDSC, connects data of nine centers/clinics in different geographical areas in Southern India. The present data analysis is based on a total of 226,228 patients registered in the DEMR system at DMDSC between the years 1991 and 2010. RESULTS: The DEMR included data of 139,906 male and 86,322 female patients, of whom 92.6% had type 2 diabetes mellitus (T2DM), 1.4% had type 1 diabetes mellitus (T1DM), and the rest had other types. Patients with T2DM had higher prevalence rates of neuropathy (33.1% vs 13.0%, p < .001), microalbuminuria (25.5% vs 20.0%, p < .001), coronary artery disease (17.5% vs 9.2%, p < .001) and peripheral vascular disease (3.9% vs 2.8%, p = .017) compared with T1DM patients, while prevalence of diabetic retinopathy was similar (37.9% vs 35.7%, p = .06). Prevalence of microvascular and macrovascular complications of diabetes increased with increasing glycated hemoglobin levels (p for trend < .001) and increasing diabetes duration (p for trend < .001). CONCLUSIONS: The DEMR helps track diabetes care and is a valuable tool for research.