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Background & objectives: Screening of individuals for early detection and identification of undiagnosed diabetes can help in reducing the burden of diabetic complications. This study aimed to evaluate the performance of Madras Diabetes Research Foundation (MDRF)-Indian Diabetes Risk Score (IDRS) to screen for undiagnosed type 2 diabetes in a large representative population in India. Methods: Data were acquired from the Indian Council of Medical Research–INdia DIABetes (ICMR–INDIAB) study, a large national survey that included both urban and rural populations from 30 states/union territories in India. Stratified multistage design was followed to obtain a sample of 113,043 individuals (94.2% response rate). MDRF-IDRS used four simple parameters, viz. age, waist circumference, family history of diabetes and physical activity to detect undiagnosed diabetes. Receiver operating characteristic (ROC) with area under the curve (AUC) was used to assess the performance of MDRF-IDRS. Results: We identified that 32.4, 52.7 and 14.9 per cent of the general population were under high-, moderate- and low-risk category of diabetes. Among the newly diagnosed individuals with diabetes [diagnosed by oral glucose tolerance test (OGTT)], 60.2, 35.9 and 3.9 per cent were identified under high-, moderate- and low-risk categories of IDRS. The ROC-AUC for the identification of diabetes was 0.697 (95% confidence interval: 0.684-0.709) for urban population and 0.694 (0.684-0.704) for rural, as well as 0.693 (0.682-0.705) for males and 0.707 (0.697-0.718) for females. MDRF-IDRS performed well when the population were sub-categorized by state or by regions. Interpretation & conclusions: Performance of MDRF-IDRS is evaluated across the nation and is found to be suitable for easy and effective screening of diabetes in Asian Indians. [ABSTRACT FROM AUTHOR]

Introduction: Diabetes mellitus (DM) is a major public health challenge around the world. It is crucial to understand the geographic distribution of the disease in order to pinpoint high-priority locations and focus intervention on the target populations. Hence, this study was carried out to determine the spatial pattern and determinants of type-2 DM in an Indian population using National Family Health Survey-4 (NFHS-4) and Longitudinal Aging Survey in India (LASI). Methods: We have adopted an ecological approach, wherein geospatial analysis was performed using aggregated district-level data from NFHS-4 (613 districts) and LASI survey datasets (632 districts). Moran's I statistic was determined and Local Indicators of Spatial Association (LISA) maps were created to understand the spatial clustering pattern of DM. Spatial regression models were run to determine the spatial factors associated with DM. Results: Prevalence of self-reported DM among males (15–50 years) and females (15–49 years) was 2.1% [95% confidence interval (CI) 2.0–2.3%] and 1.7% (95% CI 1.6–1.8%), respectively. Prevalence of self-reported DM among males and females aged 45 years and above was 12.5% (95% CI 11.5–13.5%) and 10.9% (95% CI 9.8–12%). Positive spatial autocorrelation with significant Moran's I was found for both males and females in both NFHS-4 and LASI data. High-prevalence clustering (hotspots) was maximum among the districts belonging to southern states such as Kerala, Tamil Nadu, Karnataka, and Andhra Pradesh. Northern and central states like Madhya Pradesh, Chhattisgarh, and Haryana mostly had clustering of cold spots (i.e., lower prevalence clustered in the neighboring regions). Conclusion: DM burden in India is spatially clustered. Southern states had the highest level of spatial clustering. Targeted interventions with intersectoral coordination are necessary across the geographically clustered hotspots of DM. [ABSTRACT FROM AUTHOR]

Background: Asian Indians (AI) are at high risk for both atherosclerotic diseases (ATH) and diabetes mellitus (DM). We analyze the clustering of these two comorbidities as contributing causes of death in AI versus Non-AI populations in the US. Methods: Using Mortality Multiple Cause-of-Death Files (2012–2019) from the National Center for Health Statistics, we included deaths at age ≥ 45 years among US residents where AI versus Non-AI status could be ascertained (n = 55,461 AI; n = 20,090,038 Non-AI) and identsified ATH (ICD10: I20-I25, I63, I70) and DM (ICD10: E10-E14) as contributing causes of death. We calculated the tetrachoric correlation (Rho) between these contributing causes and the difference in the fraction of deaths involving DM in those with versus without ATH. Results: Among AI decedents, 29.9% of deaths included ATH as a contributing cause, 16.4% included DM as a contributing cause with 8.3% deaths being included in the overlap (Rho = 0.36, SE = 0.007) whereas, among Non-AI, 22.4% of deaths included ATH as a contributing cause, 10.0% included DM as a contributing cause with 4.1% deaths being included in the overlap (Rho = 0.31, SE = 0.001). Thus, DM and ATH as co-occurring causes correlated more strongly in AI versus Non-AI (p < 0.001). Further, this difference in clustering of DM with ATH was highest for younger AI women (age < 60 years) compared to comparable Non-AI women. Conclusions: The more frequent co-occurrence of DM and ATH as causes of death among AI compared to Non-AI suggest that the increased burden of these diseases among AI during life has vicious synergistic consequences in terms of mortality. Public health strategies targeted to AI should focus on prevention and clinical treatment of both conditions jointly, in all adults, and especially in women < 60 years. [ABSTRACT FROM AUTHOR]

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]

To study the association and possible predictive role of visfatin, resistin, fetuin-A and chemerin with incident type 2 diabetes (T2DM) among Asian Indians with prediabetes. Their association with insulin resistance, β-cell function, glycaemia and anthropometry were also studied. This is a nested case–control study of a large 2-year prospective prevention trial in persons at high risk of developing T2DM. Baseline HbA1c values between 6.0% (42 mmol/mol) and 6.2% (44 mmol/mol) were chosen for this analysis (n = 144). At follow-up, persons with incident T2DM (HbA1c ≥ 6.5%, 48 mmol/mol) were grouped as cases (n = 72) and those reverted to normoglycaemia, (HbA1c < 5.7% (39 mmol/mol) as controls (n = 72). Insulin resistance showed the strongest association with incident T2DM ((Odds Ratio (OR): 23.22 [95%CI 6.36–84.77]; p < 0.0001). Baseline visfatin (OR: 6.56 [95%CI 2.21–19.5]; p < 0.001) and fetuin-A (OR: 1.01 [95%CI (1.01–1.04)]; p < 0.0001) independently contributed to the conversion of prediabetes to T2DM. The contribution was significantly higher when their elevated levels coexisted (OR: 12.63 [95%CI 3.57–44.63]; p < 0.0001). The area under the curve was 0.77 ± SE 0.4 (95%CI 0.69–0.85) and 0.80 ± SE 0.04 (95%CI 0.73–0.88) for visfatin (median 17.7 ng/ml, sensitivity and specificity: 75%, p < 0.0001) and fetuin-A (mean 236.2 µg/ml, sensitivity: 71%, specificity: 75%, p < 0.0001) respectively. Higher baseline visfatin and fetuin-A concentrations are strongly associated with incident T2DM and are predictive of future diabetes. [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]

Background: Sleep restores physiology and neurochemical components of our body and is essential for physical and mental health. Sleep disorders (SDs) are associated with insulin resistance and metabolic disorders. The association between SDs and diabetes needs to be understood in the Indian population. Purpose: The purpose was to investigate the association between SD and diabetes in the Indian population. Methods: As a part of nationwide Niyantrita Madhumeha Bharata Abhiyaan-2017 (NMB-2017), a cross-sectional study was conducted and data was collected from seven zones of India, after screening through the Indian Diabetes Risk Score (IDRS). The sleep quality was assessed on a scale of 1 to 4 (very good = 1, very bad = 4). The time taken to fall asleep (sleep latency) was assessed on a scale of 0 to 5 ("0" = nil and "5" = >1.5 h). Stress was assessed by the perceived stress scale. Results: Bad sleep quality was positively (odds ratio 1.055, CI [1.001, 1.113], and P <.01) associated with self-reported known diabetes. Increased time taken to fall in sleep (sleep latency) was associated significantly with IDRS high risk (odds ratio 1.085, CI [1.008, 1.168], and P =.01), with an average sleep latency /time takes to fall in sleep (maximum range 5 [>1.5 h], mode 2 [10 to 30 min]) minutes. Moderate stress was significantly associated with bad sleep quality (odds ratio 1.659). Conclusion: A positive association of bad sleep quality and stress with diabetes, and an increased sleep latency in the IDRS high-risk population point to the role of modifiable risk factors. Behavioral modification and stress reduction by using yoga may be beneficial in the better management of diabetes. [ABSTRACT FROM AUTHOR]

Introduction  Diabetes risk-screening tools are validated and implemented across various countries. There is a need for improvement in these risk scores with suitable modifications so as to make them more sensitive, specific, and suitable to the local population. Objectives  The aim of this study was to evaluate and compare the diagnostic accuracy and clinical utility of the Indian diabetes risk score (IDRS), the American diabetic association (ADA) risk score, and the Finnish Diabetes Risk Score in healthy subjects of South Indian origin in predicting the risk of diabetes and to correlate these risk scores with the blood glucose and hemoglobin A1c (HbA1c) levels in the study population. Materials and Methods  A total of 160 subjects attending the master health checkup/outpatient department of a tertiary care hospital were included in the study. Each subject was asked to fill a questionnaire. Details obtained using the questionnaire were assessed as per the three diabetic risk scores. Fasting blood sugar/random blood sugar and HbA1c were estimated. Statistical Analysis Used  Data analysis was done using SPSS 22/23. Pearson correlation was used to compare continuous variables, with p < 0.05 considered statistically significant. Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, and Mitchell's clinical utility indices were calculated for each risk tool. Results  We found the prevalence of diabetes to be 11.9%. ADA risk score was the only risk score that showed a statistically significant difference (p -value = 0.05) between the low- and high-risk subjects. Conclusions  ADA or IDRS risk scores can be used for screening diabetes in the South Indian population. We suggest that inclusion of the history of gestational diabetes and hypertension in the IDRS risk score might improve its sensitivity as a screening tool in our local population. [ABSTRACT FROM AUTHOR]

Background: Sleep restores physiology and neurochemical components of our body and is essential for physical and mental health. Sleep disorders (SDs) are associated with insulin resistance and metabolic disorders. The association between SDs and diabetes needs to be understood in the Indian population. Purpose: The purpose was to investigate the association between SD and diabetes in the Indian population. Methods: As a part of nationwide Niyantrita Madhumeha Bharata Abhiyaan-2017 (NMB-2017), a cross-sectional study was conducted and data was collected from seven zones of India, after screening through the Indian Diabetes Risk Score (IDRS). The sleep quality was assessed on a scale of 1 to 4 (very good = 1, very bad = 4). The time taken to fall asleep (sleep latency) was assessed on a scale of 0 to 5 ("0" = nil and "5" = >1.5 h). Stress was assessed by the perceived stress scale. Results: Bad sleep quality was positively (odds ratio 1.055, CI [1.001, 1.113], and P < .01) associated with self-reported known diabetes. Increased sleep time (sleep latency) was associated significantly with IDRS high risk (odds ratio 1.085, CI [1.008, 1.168], and P = .01), with an average sleep latency (maximum range 5 [>1.5 h], mode 2 [10 to 30 min]) minutes. Moderate stress was significantly associated with bad sleep quality (odds ratio 1.659). Conclusion: A positive association of bad sleep quality and stress with diabetes, and an increased sleep latency in the IDRS high-risk population point to the role of modifiable risk factors. Behavioral modification and stress reduction by using yoga may be beneficial in the better management of diabetes. [ABSTRACT FROM AUTHOR]

Introduction: We present a new diabetes risk score developed and validated in a multi-ethnic population in Guyana, South America. Measurement of in-country diabetes prevalence is a vital epidemiologic tool to combat the pandemic. It is believed that for every person diagnosed with type 2 diabetes there is another undiagnosed. The International Diabetes Federation (IDF) recommends a two-step detection programme using a risk score questionnaire to identify high-risk individuals followed by glycaemic measure. Methods: Data on 798 persons from the 2016 STEPwise Approach to Chronic Disease Risk Factor Surveillance (STEPS) were used to correlate responses to 36 questions with glycated haemoglobin (HbA1C) and fasting plasma glucose (FPG) results. Bootstrapping was used to internally validate the derived seven-variable model. This model with the addition of family history questions was tested in a convenience sample of 659 Guyanese adults and externally validated in a cohort of another 528. Results: An 8-item Guyana Diabetes Risk Score (GDRS) was derived. The final model performed with an area under the curve (AUC) of 0.812 Conclusions: The validated eight-item Guyana Diabetes Risk Score will be extremely useful in identifying individuals at high risk of having diabetes in Caribbean, Black or East Indian populations. [ABSTRACT FROM AUTHOR]

India has the dubious distinction of being a hotspot for both diabetes and hypertension. Increased salt and sugar consumption is believed to fuel these two epidemics. This review is an in-depth analysis of current medical literature on salt and sugar being the two white troublemakers of modern society. The PubMed, Medline, and Embase search for articles published in January 2018, using the terms "salt" [MeSH Terms] OR "sodium chloride" [All Fields] OR "sugar" [All Fields]. India is world's highest consumer of sugar with one of the highest salt consumption per day. Increased salt intake is associated with increased risk of hypertension, left ventricular hypertrophy and fibrosis, cardiovascular events, renal stones, proteinuria, and renal failure. Increased sugar intake is directly linked to increased risk of obesity, fatty liver disease, and metabolic syndrome. Also, increased sugar intake may be indirectly related to the increased risk of type 2 diabetes. Both salt and sugar intake is directly linked to increased systemic and hypothalamic inflammation, endothelial dysfunction, microangiopathy, cardiovascular remodelling, cancers, and death. High fructose corn is especially damaging. There is no safe limit of sugar consumption, as the human body can produce its own glucose. Being nature's gift to mankind, there is no harm in moderate consumption of salt and sugar, however, modest reduction in the consumption of both can substantially reduce the burden of non-communicable diseases. Public health interventions to facilitate this behavioural change must be instituted and encouraged. [ABSTRACT FROM AUTHOR]

The article discusses the study on the glycemic and insulinemic responses of healthy East Indians after consumption of maltitol. It offers information on maltitol which is a bulk sweetener that exhibit a low glycemic response. The results reportedly revealed that maltitol glycemic response in healthy people is low.

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]

Background Indians may be particularly vulnerable to cardiometabolic disease, potentially due to higher body fat for a given BMI, or a tendency towards depositing abdominal adiposity. The aim of the study is to assess whether different measures of the distribution of adiposity (abdominal versus whole body) or amount of adiposity (DXA versus traditional anthropometric) are better at predicting prevalent cardiometabolic risk markers in an Indian population. Methods Participants were recruited from the Indian Migration Study (IMS) and the Andhra Pradesh Children and Parent Study (APCAPS). Participants attended a clinic in Hyderabad, India, January 2009-December 2010. Adiposity was measured by conventional anthropometry (including weight, height, waist) and DXA scanning (whole body and abdominal). Blood samples were taken and assessed for fasting plasma glucose, insulin, cholesterol, and triglycerides and blood pressure was measured. Lifestyle data were collected by questionnaire. Results We invited 4 617 participants to the clinic (1 995 IMS; 2 622 APCAPS) and examined 918 from IMS (46%) and 1 451 from APCAPS (55%). There were strong and consistent relationships between adiposity and cardiometabolic risk factors. Cardiometabolic risk factors did not appear to be more strongly associated with DXA measures as opposed to BMI, or skinfold measures of body fat. There was some evidence that WHR was more closely related to diabetes than total body adiposity, but this was not apparent for the other measures of abdominal adiposity (DXA measures, waist circumference) or other cardiometablic risk factors. Conclusions No strong evidence supports that DXA measures or abdominal measures of adiposity are better at predicting the prevalence of cardiometabolic risk factors in comparison to BMI. [ABSTRACT FROM AUTHOR]

Background & objectives: Studies conducted to assess the prevalence of cardiovascular (CV) risk factors among different regions of the country show variation in risk factors in different age groups and urban and rural population. We undertook this study to determine the prevalence of cardiovascular risk factors among urban adults in a north Indian city. Methods: In a cross-sectional survey, 2227 subjects aged = 20 yr were studied from April 2008 to June 2009 in Urban Chandigarh, a north Indian city. Demographic history, anthropometry and blood pressure were assessed. Fasting, and 2 h capillary plasma glucose after 75 g glucose load, HDL-C and triglycerides were estimated. Results: The most prevalent cardiovascular risk factors in the age group of 20-29 yr was sedentary lifestyle (63%), while from fourth decade and onwards, it was overweight/obesity (59-85%). The second most common prevalent cardiovascular risk factor in the age group of 20-29 yr was overweight/obesity, in 30-49 yr sedentary lifestyle, in 50-69 yr hypertension and in subjects =70 yr, it was hypertriglyceridaemia. The prevalence of overweight/obesity, hypertension, dysglycaemia and smoking was almost double in subjects in the fourth decade of life, as compared to those in the third decade of life. The prevalence of CV risk factors significantly increased with age irrespective of gender and prevalence of low HDL-C was significantly more common in women as compared to men. Interpretation & conclusions: Sedentary lifestyle, obesity and low HDL-C are the most prevalent CV risk factors in subjects in the third and fourth decade of life in this north Indian population and clustering of these cardiovascular risk factors increases with advancing age. Strategies need to be formulated to target this population to prevent the epidemic of cardiovascular disease. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular diseases (CVDs) are the number one cause of death globally and are the leading cause of death in India also. Several surveys conducted across the country over the past few decades have shown a rising prevalence of major risk factors for CVD in Asian Indian population. The problem of increasing risk factors for CVD in India is because of lack of surveillance system and lack of proper diagnosis. This study will help to point out the need of research so that some advanced diagnosis system may be developed for proper diagnosis of CVDs and to reduce the growing burden of CVDs in the country. Methods: We did a literature search for the period from 1968 to 2012 using PUBMED search to identify all relevant studies of cardiovascular diseases. Besides PUBMED searching, manual searching has also been done. This article provides a review of current understanding of the epidemiology of cardiovascular disease, particularly, coronary heart disease (CHD), stroke and related risk factors in Asian Indian population. Results: Hypertension and diabetes are highly prevalent among Asian Indian population, which may explain their high rate of stroke and heart attack in India. The increasing rate of CVD may be explained by the high rates of other risk factors including adverse lipid profile. The etiology of cardiovascular diseases (CVD) is multifactorial and no single factor is an absolute cause. Conclusion: The cardiovascular diseases and its risk factors are increasing with a rapid pace in Asian Indian population. Though the prevalence of CVD risk factors is found higher in urban population, yet it is increasing at an alarming rate in rural population also, which is a serious threatening to the nation. Since majority of the Indians live in rural area, CVD may lead to epidemic proportions. We need health promotion programs and reorientation of primary health care to improve CVD detection in earlier stage and its management. [ABSTRACT FROM AUTHOR]

Background: Almost 15% of India's urban adult populace now lives with type 2 diabetes. This study aimed to characterize the eating patterns, knowledge, beliefs, and determinants of food choice, and assess associations with the metabolic health among urban Asian Indians with type 2 diabetes. Materials and Methods: A cross-sectional study of 258 individuals (mean age 55.7 ± 10 years; body mass index 27.1 ± 4.8 kg/m2 ; diabetes duration 10.1 ± 6.5 years) attending two out-patient clinics in New Delhi, India. Food-related information was collected during a semi-structured interview. Clinical, anthropometric, and biochemical data were recorded. Results: Beliefs related to health and diabetes played a role determining food choice and dietary patterns; erroneous views were associated with the poor food choices and greater metabolic perturbations. Average consumption of fruits/vegetables was low. Intakes were positively associated with intentions to manage diabetes; inversely associated with the waist circumference and negatively correlated with one's degree of personal responsibility for food choice. Household saturated fat usage was common. High fat intakes were positively associated with the taste preference, ratings of perceived "health-value;" waist circumference, glycosylated haemoglobin percentage (HbA1c%) and lipids. Conclusions: Strategies to enhance diabetes control among Asian Indians are required and should encourage fruit/vegetable intake, personal accountability, and consider individual beliefs and preferences. Greater emphasis and resources directed to regular dietary and behavioral counseling may assist.' [ABSTRACT FROM AUTHOR]

Several reviews and meta-analyses have demonstrated the incontrovertible benefits of statin therapy in patients with cardiovascular disease (CVD). But the role for statins in primary prevention remained unclear. The updated 2013 Cochrane review has put to rest all lingering doubts about the overwhelming benefits of long-term statin therapy in primary prevention by conclusively demonstrating highly significant reductions in all-cause mortality, major adverse cardiovascular events (MACE) and the need for coronary artery revascularization procedures (CARPs). More importantly, these benefits of statin therapy are similar at all levels of CVD risk, including subjects at low (<1% per year) risk of a MACE. In addition to preventing myocardial infarction (MI), stroke, and death, primary prevention with statins is also highly effective in delaying and avoiding expensive CARPs such as angioplasties, stents, and bypass surgeries. There is no evidence of any serious harm or threat to life caused by statin therapy, though several adverse effects that affect the quality of life, especially diabetes mellitus (DM) have been reported. Asian Indians have the highest risk of premature coronary artery disease (CAD) and diabetes. When compared with Whites, Asian Indians have double the risk of CAD and triple the risk of DM, when adjusted for traditional risk factors for these diseases. Available evidence supports the use of statin therapy for primary prevention in Asian Indians at a younger age and with lower targets for low-density lipoprotein cholesterol (LDL-C) and non-high density lipoprotein (non-HDL-C), than those currently recommended for Americans and Europeans. Early and aggressive statin therapy offers the greatest potential for reducing the continuing epidemic of CAD among Indians. [ABSTRACT FROM AUTHOR]

Objective: This study was undertaken to assess the efficacy and safety of pioglitazone in combination with other oral antidiabetics (OADs) in Indian patients with type 2 diabetes mellitus (T2DM). Materials and Methods: This was an openlabel, prospective, no-randomized, single-center observational study conducted at a single center in India. A total of 958 adult patients with T2DM on OADs, with uncontrolled fasting (FBG) or postprandial blood glucose (PPG), were enrolled. Pioglitazone (7.5/15/30 mg) was added to existing therapy as a combination treatment with other OAD. Body weight (BW), body mass index (BMI), FBG and postprandial plasma glucose (PPPG) and glycosylated hemoglobin (HbA1c) were measured at the beginning (week 0) and at every follow-up treatment visit, i.e., 6 months (week 24), 1 year (week 48) and 2 years (week 96). Changes from baseline to each visit were analyzed using the Wilcoxon test. All patients also went through a urinalysis at baseline, and after 6 months, 1 year and 2 years of treatment, to assess for any abnormalities in the urine (pH, pus or protein), suggestive of bladder abnormalities. Results: The combined analysis was carried out on 958 completed patients in this study who were treated with pioglitazone 7.5 mg, 15 mg and 30 mg tablet and other OADs. The difference in mean value of FBG showed a highly significant decrease (P<0.0001) from baseline to end of treatment, i.e., from 167.0, (59.16) 172.6 (58.51) and 171.0 (39.47) to 140.2, (26.46) 143.8 (22.04) and 138.5 (27.82) mg/dL. Similarly, PPG showed a significant (P<0.0001, 0.002 and 0.008) decrease from baseline to end of the treatment, i.e., from 256.0, (61.79) 222.9 (67.88) and 223.6 (69.11) to 195.9, (46.92) 204.0 (48.03) and 187.6 (53.36) mg/dL, and there was a highly significant (P<0.0001) decrease in HbA1c levels, i.e., from 8.46, 8.34 and 8.42% to 7.781, 7.78 and 7.73%, respectively. However, gain in mean BW was also observed from baseline to end of the treatment, i.e., from 69.90, (9.44) 68.29 (8.62) and 67.64 (7.75) kg to 71.69, (8.35) 70.08 (7.96) and 69.70 (7.99) kg, respectively, and BMI increased from 26.74 (14.18-53.04) kg/m² at baseline to 27.45 (12.87-53.73) kg/m² at the end of the treatment, respectively (P<0.0001). No significant changes were found in urine in patients even after 2 years of treatment with pioglitazone. There was little variation in pH or presence of pus and proteins in the urine, indicating no increased risk of bladder-related abnormalities across all treated age groups even after 2 years of treatment with pioglitazone. Conclusion: Pioglitazone in combination with other OADs in Indian patients was an effective treatment protocol in glycemic control, reduction in FBG, PPPG and HbA1c and also helps in controlling weight gain in patients with T2DM. In this patient population, there was no increased risk of bladder-related abnormalities. Pioglitazone was therefore found to be a safe and efficacious addition to treatment in patients with poorly controlled diabetes. [ABSTRACT FROM AUTHOR]

Objectives: To determine the prevalence of overweight and obesity and their effects on cardiometabolic risk factors in a representative sample of urban population in Eastern India. Materials and methods: A population-based survey was conducted among a randomly selected study population aged 20-80 years in an urban population of Berhampur city of Eastern India. Both anthropometric and biochemical information were collected, in addition to detailed information on classical cardiometabolic risk factors. Both descriptive and inferential statistical analyses were performed. Obesity and overweight were defined based on the revised Asian-Pacific population criteria (Body mass index [BMI] ≥25 kg/m[sup 2] and ≥23 kg/m[sup 2], respectively). Results: The age-standardized rates of obesity and overweight are 36.8% (Males: 33.2%; Females: 40.8%) and 17.6%, (Males: 20.4%; Females: 15.1%) respectively, i.e., over half are either obese or overweight in this study population. Compared to the World Health Organization (WHO) standard cutoff criteria of overweight [BMI ≥25 kg/m[sup 2]] and obesity [BMI >30 kg/m[sup 2]], the cardiometabolic risk factors studied showed a significant incremental rise even with the lower cutoffs of the revised Asia-Pacific criteria. Older age, female gender, family history of diabetes, being hypertensive, hypertriglyceridemia, hypercholesterolemia, physical inactivity and middle to higher socioeconomic status significantly contributed to increased obesity risk among this urban population. Conclusion: One-third of the urban populations are obese in Eastern India - an underestimate compared to the standard BMI cutoff criteria. Nevertheless, significant associations of the classical cardiometabolic risk factors with obesity were observed using the revised Asia-Pacific criteria clearly indicating a more aggressive cardiovascular prevention strategy for Asian Indians. [ABSTRACT FROM AUTHOR]

India leads the world with largest number of diabetic subjects earning the dubious distinction of being termed the "diabetes capital of the world". According to the Diabetes Atlas 2006 published by the International Diabetes Federation, the number of people with diabetes in India currently around 40.9 million is expected to rise to 69.9 million by 2025 unless urgent preventive steps are taken. The so called "Asian Indian Phenotype" refers to certain unique clinical and biochemical abnormalities in Indians which include increased insulin resistance, greater abdominal adiposity i.e., higher waist circumference despite lower body mass index, lower adiponectin and higher high sensitive C-reactive protein levels. This phenotype makes Asian Indians more prone to diabetes and premature coronary artery disease. At least a part of this is due to genetic factors. However, the primary driver of the epidemic of diabetes is the rapid epidemiological transition associated with changes in dietary patterns and decreased physical activity as evident from the higher prevalence of diabetes in the urban population. Even though the prevalence of microvascular complications of diabetes like retinopathy and nephropathy are comparatively lower in Indians, the prevalence of premature coronary artery disease is much higher in Indians compared to other ethnic groups. The most disturbing trend is the shift in age of onset of diabetes to a younger age in the recent years. This could have long lasting adverse effects on nation's health and economy. Early identification of at-risk individuals using simple screening tools like the Indian Diabetes Risk Score (IDRS) and appropriate lifestyle intervention would greatly help in preventing or postponing the onset of diabetes and thus reducing the burden on the community and the nation as a whole. [ABSTRACT FROM AUTHOR]

Objectives: To determine the prevalence of metabolic syndrome and to identify predictors for the same, specific to an underdeveloped urban locale of Eastern India. Materials and Methods: Study design: Population-based cross-sectional study, with multistage random sampling technique. Setting: Urban city-dwellers in Orissa one of the poorest states of Eastern India bordering a prosperous state of Andhra Pradesh of Southern India. Participants: 1178 adults of age 20-80 years randomly selected from 37 electoral wards of the urban city. Definition of Metabolic Syndrome: We followed a unified definition of the metabolic syndrome by joint interim statement of five major scientific organizations - the International Diabetes Federation, the National Heart, Lung, and Blood Institute, the American Heart Association, the World Heart Federation, the International Atherosclerosis Society, and the International Association of the Study of Obesity. Individuals who meet at least three of five clinical criteria of abdominal obesity, hypertriglyceredimia, low HDL, hypertension, and hyperglycemia are diagnosed as having the condition; presence of none of these criteria is mandatory. Explicit cut points are defined for all criteria, except elevated waist circumference, which must rely on population and country-specific definitions. Main Outcome Measure: Prevalence and significant predictors of metabolic syndrome. Statistical Analysis: Both descriptive and multivariable logistic regression analyses. Results: Age-standardized prevalence rates of metabolic syndrome were 33.5% overall, 24.9 % in males and 42.3% in females. Older age, female gender, general obesity, inadequate fruit intake, hypercholesterolemia, and middle-to-high socioeconomic status significantly contributed to increased risk of metabolic syndrome. Conclusion: Metabolic syndrome is a significant public health problem even in one of the poorest states of India that needs to be tackled with proven strategies. [ABSTRACT FROM AUTHOR]

A close relationship exists between iron metabolism, diabetes and oxidative stress. Both diabetes and redox active iron are individually known to enhance oxidative stress. However, the role of iron deficiency and oxidative stress in diabetes is not clear; hence, the levels of oxidative stress in type 2 diabetes with and without iron deficiency have been compared. Two groups of 30 patients each with diabetes were selected (one group with iron deficiency and the other group with normal iron levels) and compared with 30 normal healthy controls. The anthropometric parameters, fasting blood sugar, iron profile and oxidative stress parameters (malondialdehyde levels (index of lipid peroxidation) and serum uric acid levels (antioxidant)) were measured. While the diabetes group had significantly increased serum levels of ferritin (an acute phase reactant and antioxidant) in comparison with normal controls (P=0.040), the diabetic group with iron deficiency had decreased serum levels of iron (P =0.000), ferritin (P = 0.000) and uric acid (P =0.006) and increased levels of malondialdehyde (P = 0.000) in comparison with diabetics without iron deficiency. This study shows an increase in oxidative stress in the diabetic group with iron deficiency together with reduction in antioxidant levels could further promote prooxidant levels and inflammation and in turn result in the development of complications in this high-risk Asian Indian population. [ABSTRACT FROM AUTHOR]

Background & objectives: With increasing number of people with diabetes worldwide, particularly in India, it is necessary to search for low cost screening methods. We compared the effectiveness and costs of screening for undiagnosed type 2 diabetes mellitus (T2DM), using oral glucose tolerance testing (OGTT) alone, or following a positive result from the Indian Diabetes Risk Score (IDRS) or following a positive result from genotyping of the TCF7L2 polymorphisms in Asian Indians. Methods: In subjects without known diabetes (n=961) recruited from the Chennai Urban Rural Epidemiology Study (CURES), OGTT, IDRS, and genotyping of rs12255372 (G/T) and rs7903146(C/T) of TCF7L2 polymorphisms were done. IDRS includes four parameters: age, abdominal obesity, family history of T2DM and physical activity. Results: OGTT identified 72 subjects with newly diagnosed diabetes (NDD), according to the World Health Organization criteria of fasting plasma glucose ≥ 126 mg/dl or a plasma glucose ≥ 200 mg/dl, 2 h after 75 g oral glucose load. IDRS screening (cut-off ≥ 60) yielded 413 positive subjects, which included 54 (75%) of the 72 NDD subjects identified by OGTT. Genotyping yielded 493 positive subjects which only included 36 (50%) of the 72 NDD subjects showing less discriminatory power. Screening with both SNPs missed 27 (37.5%) NDD subjects identified by IDRS. In contrast, IDRS missed only 9 (12.5%) of the NDD subjects identified by genotyping. Total screening cost for OGTT alone, or with IDRS were 384,400 and 182,810 respectively. Comparing OGTT alone to IDRS followed by OGTT, the incremental cost per additional NDD subject detected by doing OGTT on everyone was 11,199 (201,590 for detecting additional 18 NDD subjects). Interpretation & conclusions: For screening a population of subjects without diagnosed diabetes in India, a simple diabetes risk score is more effective and less expensive than genotyping or doing OGTT on the whole population. [ABSTRACT FROM AUTHOR]

Background & objective: Association between adiponectin and non-alcoholic fatty liver disease (NAFLD) has been reported in west. Studies in Indian population are lacking. This study was undertaken to assess the association of hypoadiponectinemia with NAFLD in Asian Indians. Method: In this cross-sectional study, subjects were randomly selected from Phase 5 of the Chennai Urban Rural Epidemiology Study (CURES), an epidemiological study based on a representative population of Chennai in south India. One hundred twenty one subjects without NAFLD and 72 subjects with NAFLD were selected. NAFLD was diagnosed by ultrasonography. Serum adiponectin levels were measured using radioimmunoassay. Insulin resistance was calculated using Homeostasis Assessment model (HOMA-IR). Results: Serum adiponectin values were significantly lower in subjects with NAFLD compared to those without 15.6 lag/ml (95% Confidence Interval (CI) 5.0 - 6.3 µg/ml] vs 7.4 µg/ml (95% CI: 6.7 - 8.1 µg/ml, P<0.01). Adiponectin levels decreased with increasing severity of NAFLD. Subjects with moderate to severe steatosis had significantly lower adiponectin levels (5.11 µg/ml, 95% CI: 4.1- 6.4 µg/ml) compared to subjects with mild steatosis (5.9 µg/ml, 95% CI: 5.0 - 6.9 µg/ml; P<0.001) and subjects without NAFLD (7.3 µg/ml, 95% CI: 6.6 - 8.0 µg/ml; P<0.01). Multiple logistic regression analysis revealed adiponectin to be negatively associated with NAFLD [Odds Ratio (OR): 0.865, 95% Confidence Interval (CI): 0.792-0.944, P=-0.001]. This remained statistically significant even after adjusting for confounding factors age, gender, body mass index, insulin resistance, waist circumference, total cholesterol, triglycerides and glucose intolerance (OR: 0.873, 95% CI: 0.793 - 0.961; P=0.005). Interpretation & conclusion: NAFLD is associated with lower serum adiponectin levels independent of conventional cardiovascular risk factors in Asian Indians known to have high prevalence of diabetes and coronary artery disease. [ABSTRACT FROM AUTHOR]

Background & objectives: The objective of the study was to determine whether visceral or subcutaneous component of abdominal fat was associated with insulin resistance and metabolic syndrome in non-diabetic Asian Indians. Method: This cross-sectional study had on 120 individuals with normal glucose tolerance (49 males and 71 females). A single slice CT scan at L4- L5 was done for measurement of visceral and subcutaneous abdominal fat. Metabolic syndrome was defined according to the South Asian Modified National Cholesterol Education Program Adult Treatment Panel III criteria (SAM-NCEP) criteria. Insulin Sensitivity Index (ISI-Matsuda) was used to assess insulin sensitivity/resistance. Results: Linear regression analysis revealed that visceral, but not subcutaneous fat was associated with serum triglycerides (R²=0.457, β= 0.34; P=0.006), HDL cholesterol (R²=0.430, β= -0.051; P=0.018) and ISI-Mutsuda (R²=0.437, β= -0.05; P=0.039) after adjusting for age, gender and BMI. Visceral fat showed significant association with metabolic syndrome (OR: 1.013, 95% CI: 1.001- 1.025; P=0.041) even after adjusting for age, gender, body mass index and glycated haemoglobin whereas subcutaneous fat did not show such an association. Interpretation & conclusions: These results indicate that in non-diabetic Asian Indians, visceral, but not subcutaneous component of abdominal fat is associated with insulin resistance, cardiovascular risk factors and metabolic syndrome. [ABSTRACT FROM AUTHOR]

Background: The prevalence of diabetes mellitus (DM) and periodontal disease / periodontitis (PD) is high, and the association of these two as risk factors influencing each other has been recognized and is extensively documented. However, a majority of these association studies have been done in developed countries and / or in developing countries other than India. Objective: To review, quantify and qualify the status of the published indexed scientific literature regarding the bidirectional association of DM and PD in India. Method: An internet search of the literature was conducted to examine relevant association studies of DM and PD in India. As a matter of interest, the related articles were searched manually from one non-indexed national (India) publication of periodontology until October 2008. Specific focus was on indexed literature and only these were considered for the review. Result: Eleven pertinent indexed publications addressing the concern with regard to population in India were identified. Most of them were in agreement with the accepted mechanisms involving these two diseases, but more supported a unidirectional view of interaction, that is, advocating the role of DM in a worsened periodontal condition. One study with an opposite view was recognised. Conclusion: The paucity of such research in India, which will be a hub of diabetics in the near future, reflects the need to make available a strong body of evidence in the indexed literature relating not only to DM and its 'sixth complication', PD, but also the strong influence of PD on DM. [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]

The article discusses the cross-sectional study on the use of the Madras Diabetes Research Foundation-Indian Diabetes Risk Score (MDRF-IDRS) to assess the risk of developing diabetes. The study reportedly involved adults from a rural area in Jammu and Kashmir, India who were evaluated for their health status and surveyed using a protocol with MDRF-IDRS. The results revealed that MDRF-IDRS can effectively identify people who are at high risk of developing diabetes mellitus.

Adiponectin is an adipose tissue specific protein that is decreased in subjects with obesity and type 2 diabetes. The objective of the present study was to examine whether variants in the regulatory regions of the adiponectin gene contribute to type 2 diabetes in Asian Indians. The study comprised of 2,000 normal glucose tolerant (NGT) and 2,000 type 2 diabetic, unrelated subjects randomly selected from the Chennai Urban Rural Epidemiology Study (CURES), in southern India. Fasting serum adiponectin levels were measured by radioimmunoassay. We identified two proximal promoter SNPs (−11377C→G and −11282T→C), one intronic SNP (+10211T→G) and one exonic SNP (+45T→G) by SSCP and direct sequencing in a pilot study ( n = 500). The +10211T→G SNP alone was genotyped using PCR-RFLP in 4,000 study subjects. Logistic regression analysis revealed that subjects with TG genotype of +10211T→G had significantly higher risk for diabetes compared to TT genotype [Odds ratio 1.28; 95% Confidence Interval (CI) 1.07–1.54; P = 0.008]. However, no association with diabetes was observed with GG genotype ( P = 0.22). Stratification of the study subjects based on BMI showed that the odds ratio for obesity for the TG genotype was 1.53 (95%CI 1.3–1.8; P < 10−7) and that for GG genotype, 2.10 (95% CI 1.3–3.3; P = 0.002). Among NGT subjects, the mean serum adiponectin levels were significantly lower among the GG ( P = 0.007) and TG ( P = 0.001) genotypes compared to TT genotype. Among Asian Indians there is an association of +10211T→G polymorphism in the first intron of the adiponectin gene with type 2 diabetes, obesity and hypoadiponectinemia. [ABSTRACT FROM AUTHOR]

Recent data indicate a rise in obesity both in children and adolescents in developing countries. The overall prevalence of overweight/obesity in urban children in New Delhi has shown an increase from 16% in 2002 to about 24% in 2006-2007. Our recent data show that the prevalence among adolescent children was 29% in private schools and 11.3% in government funded schools. While India already has highest number of patients with type 2 diabetes mellitus (T2DM) globally, rapid rise of obesity in children is the prime reason for increasing insulin resistance, the metabolic syndrome, dyslipidemia, polycystic ovarian syndrome and raised levels of C-reactive protein. Excess body fat, thick truncal subcutaneous fat, and abdominal adiposity are important predisposing factors for development of insulin resistance in Asian Indian children. As compared to other ethnic groups, children with ancestral origin in South Asia manifest adiposity, insulin resistance and metabolic perturbations earlier in life and these derangements are of higher magnitude than white Caucasian children. Since the metabolic syndrome and obesity track into adulthood, these clinical entities need to be recognized early for effective prevention of T2DM and coronary heart disease. Therapeutic lifestyle changes, maintenance of high levels of physical activity and normal weight are most important prevention strategies. Both high-risk surveillance and cost-effective population intervention programs are urgently needed. In this context, we have launched one of the largest program ("MARG", The Path) to curb childhood obesity in India. [ABSTRACT FROM AUTHOR]

The objective of this study was to assess the impact of a group diet and physical activity intervention on body composition, blood lipid profile and insulin resistance in migrant Asian Indian volunteers. Total body and abdominal fat, waist girth, serum glucose, insulin and lipids were measured one month before and immediately prior to an intervention designed to encourage increased physical activity and improved diet. Measurements were repeated after a 5-month period of altered exercise and dietary habits. Over this period monthly group education sessions were held on diet and physical activity and the importance of lifestyle changes to reduce risk factors for chronic disease. Forty one (21M, 20F) volunteers (aged >50 y) were recruited from Asian Indian community groups in urban Auckland, New Zealand. Body weight, total and percentage body fat, waist girth and abdominal fat decreased in men following the intervention (p<0.006) while these changes were not statistically significant in women. In both men and women high density lipoprotein (HDL) levels increased and LDL and total cholesterol/HDL ratio decreased (p<0.002) without changes in serum glucose, insulin and triglycerides. Reduction in systolic and diastolic blood pressure was associated with an increase in HDL cholesterol in women (r=0.63, p=0.003, r=0.48, p=0.03) but not in men (r=0.09, p=0.69, r=0.04, p=0.86). Over a five month period, an Asian Indian community group diet and physical activity intervention resulted in significant reductions in total and abdominal body fat and blood lipid risk factors but not in insulin sensitivity or resistance. [ABSTRACT FROM AUTHOR]

Objective:To investigate the association of insulin receptor substrate-2 (IRS-2) G1057D polymorphism with type 2 diabetes and obesity in Asian Indians.Methods:The study comprised of 1193 normal glucose tolerant (NGT) subjects and 1018 subjects with type 2 diabetes, aged 20 years with an average body mass index of 23.7±4.6 and 25.3±4.2 kg/m2, respectively. The subjects were unrelated and randomly selected from the Chennai Urban Rural Epidemiology Study (CURES), a population-based study in Chennai in southern India. The G1057D polymorphism of the IRS-2 gene was genotyped using PCR-RFLP assay.Results:The genotype frequency of the IRS-2 G1057D polymorphism was significantly different between the NGT and type 2 diabetic groups (P=0.0007) in the total study subjects and among the obese subjects (P=0.00007). Logistic regression analysis showed that the DD genotype showed an increased susceptibility to diabetes with an odds ratio (adjusted for age and sex) of 2.19 (95% CI: 1.34–3.57, P=0.002) when compared to the GG+GD genotype, among the obese subjects, but not in non obese subjects. In order to explore possible interaction with obesity, logistic regression analysis was performed and the coefficient corresponding to the interaction parameter (genotype × obesity) was significant (P=0.0001).Conclusion:In Asian Indians, the DD genotype increases susceptibility to type 2 diabetes by interacting with obesity.International Journal of Obesity (2007) 31, 97–102. doi:10.1038/sj.ijo.0803356; published online 25 April 2006 [ABSTRACT FROM AUTHOR]

Objective:To test the validity of internationally accepted waist circumference (WC) action levels for adult Asian Indians.Design:Analysis of data from multisite cross-sectional epidemiological studies in north India.Subjects:In all, 2050 adult subjects >18 years of age (883 male and 1167 female subjects).Measurements:Body mass index (BMI), WC, waist-to-hip circumference ratio, blood pressure, and fasting samples for blood glucose, total cholesterol, serum triglycerides, and high-density lipoprotein cholesterol.Results:In male subjects, a WC cutoff point of 78 cm (sensitivity 74.3%, specificity 68.0%), and in female subjects, a cutoff point of 72 cm (sensitivity 68.7%, specificity 71.8%) were appropriate in identifying those with at least one cardiovascular risk factor and for identifying those with a BMI >21 kg/m2. WC levels of 90 and 80 cm for men and women, respectively, identified high odds ratio for cardiovascular risk factor(s) and BMI level of 25 kg/m2. The current internationally accepted WC cutoff points (102 cm in men and 88 cm in women) showed lower sensitivity and lower correct classification as compared to the WC cutoff points generated in the present study.Conclusion:We propose the following WC action levels for adult Asian Indians: action level 1: men, 78 cm, women, 72 cm; and action level 2: men, 90 cm, women, 80 cm.International Journal of Obesity (2006) 30, 106–111. doi:10.1038/sj.ijo.0803111; published online 27 September 2005 [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]

Context: Studies, mostly from outside the United States, have found high prevalence of diabetes, coronary heart disease (CHD), and hypertension among Asian Indians, despite low rates of associated risk factors.Objective: To analyze the prevalence of obesity, diabetes, CHD, hypertension, and other associated risk factors among Asian Indians in the United States compared to non-Hispanic whites.Design, Setting, and Subjects: Cross-sectional study using data from the National Health Interview Survey (NHIS) for 1997, 1998, 1999, and 2000. We analyzed 87,846 non-Hispanic whites and 555 Asian Indians.Main Outcome Measures: Whether a subject reported having diabetes, CHD, or hypertension.Results: Asian Indians had lower average body mass indices (BMIs) than non-Hispanic whites and lower rates of tobacco use, but were less physically active. In multivariate analysis controlling for age and BMI, Asian Indians had significantly higher odds of borderline or overt diabetes (adjusted OR [AOR], 2.70; 95% confidence interval [CI], 1.72 to 4.23). Multivariate analysis also showed that Asian Indians had nonsignificantly lower odds ratios for CHD (AOR, 0.58; 95% CI, 0.25 to 1.35) and significantly lower odds of reporting hypertension (AOR, 0.58; 95% CI, 0.42 to 0.82) compared to non-Hispanic whites.Conclusion: Asian Indians in the United States have higher odds of being diabetic despite lower rates of obesity. Unlike studies on Asian Indians in India and the United Kingdom, we found no evidence of an elevated risk of CHD or hypertension. We need more reliable national data on Asian Indians to understand their particular health behaviors and cardiovascular risks. Research and preventive efforts should focus on reducing diabetes among Asian Indians. [ABSTRACT FROM AUTHOR]

The roles of abdominal visceral (VAT) and subcutaneous adipose tissue (SAT) in the molecular pathogenesis type-2 diabetics (T2D) among Asian Indians showing a "thin fat" phenotype largely remains obscure. In this study, we generated transcription profiles in biopsies of these adipose depots obtained during surgery in 19 diabetics (M: F ratio, 8:11) and 16 (M: F ratio 5:11) age- and BMI-matched non-diabetics. Gene set enrichment analysis (GSEA) was used for comparing transcription profile and showed that 19 gene sets, enriching inflammation and immune system-related pathways, were upregulated in diabetics with F.D.R. <25% and >25%, respectively, in VAT and SAT. Moreover, 13 out of the 19 significantly enriched pathways in VAT were among the top 20 pathways in SAT. On comparison of VAT vs. SAT among diabetics, none of the gene sets were found significant at F.D.R. <25%. The Weighted Gene Correlation Analysis (WGCNA) analysis of the correlation between measures of average gene expression and overall connectivity between VAT and SAT was significantly positive. Several modules of co-expressed genes in both the depots showed a bidirectional correlation with various diabetes-related intermediate phenotypic traits. They enriched several diabetes pathogenicity marker pathways, such as inflammation, adipogenesis, etc. It is concluded that, in Asian Indians, diabetes pathology inflicts similar molecular alternations in VAT and SAT, which are more intense in the former. Both adipose depots possibly play a role in the pathophysiology of T2D, and whether it is protective or pathogenic also depends on the nature of modules of co-expressed genes contained in them. [ABSTRACT FROM AUTHOR]

The article observes that India's embrace of the worst of both Eastern and Western ways is causing the increase in rapid lifestyle diseases such as obesity and diabetes. Topics discussed include statistics on diabetes prevalence from the International Diabetes Foundation (IDF) and the Madras Diabetes Research Foundation as well as thrifty genotypes being tagged as a culprit. Also mentioned are the problem of the thrifty genotype beginning in the womb and screening for gestational diabetes.

The original version of this article contained a mistake in Phase IV: establishing validity and development of norms under Participants section. The below text For establishing validity and norm of DMKT, data were gathered from 300 patients suffering with 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.