Browsing by Author "Shah, B"

Now showing 1 - 5 of 5
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    Calculation error in estimating low HDL in women Response
    (INDIAN JOURNAL OF MEDICAL RESEARCH, 2014) Thankappan, KR; Shah, B; Mathur, P; Sarma, PS; Srinivas, G; Mini, GK; Daivadanam, M; Soman, B; Vasan, RS
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    Measurement of cholesterol and triglycerides from a dried blood spot in an Indian Council of Medical Research-World Health Organization multicentric survey on risk factors for noncommunicable diseases in India
    (Journal of Clinical Lipidology, 2012) Lakshmy, R; Mathur, P; Gupta, R; Shah, B; Anand, K; Mohan, V; Desai, NG; Mahanta, J; Joshi, PP; Thankappan, KR
    Dried blood may be a convenient method of sample collection in epidemiological studies; however, the method needs evaluation in a field settings. In the present study, feasibility of using dried blood for measurement of cholesterol and triglycerides was evaluated in multicenter surveillance study for noncommunicable disease (NCD).
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    Risk Factor Profile for Chronic Non-communicable Diseases: Results of a Community-Based Study in Kerala, India
    (Indian Journal of Medical Research, 2010) Thankappan, KR; Shah, B; Mathur, P; Sarma, PS; Srinivas, G; Mini, GK; Daivadanam, M; Soman, B; Vasan, RS
    BACKGROUND & OBJECTIVES: Kerala State is a harbinger of what will happen in future to the rest of India in chronic non-communicable diseases (NCD). We assessed: (i) the burden of NCD risk factors; (ii) estimated the relations of behavioural risk factors to socio-demographic correlates, anthropometric risk factors with behavioural risk factors; (iii) evaluated if socio-demographic, behavioural and anthropometric risk factors predicted biochemical risk factors; and (iv) estimated awareness, treatment and adequacy of control of hypertension and diabetes, in Kerala state.METHODS:A total of 7449 individuals (51% women) stratified by age group, sex and place of residence were selected and information on behavioural risk factors; tobacco use, diet, physical activity, alcohol use, measured anthropometry, blood pressure was collected. Fasting blood samples were analysed for blood glucose, total cholesterol, high density lipoprotein cholesterol and triglycerides in a sample subset.Using multiple logistic regression models the associations between socio-demographic and anthropometric variables with biochemical risk factors were estimated.RESULTS: The burden of NCD risk factors was high in our sample. Prevalence of behavioural and each of the biochemical risk factors increased with age, adjusting for other factors including sex and the place of residence. The odds ratios relating anthropometric variables to biochemical variables were modest, suggesting that anthropometric variables may not be useful surrogates for biochemical risk factors for population screening purposes. INTERPRETATION & CONCLUSIONS: In this large study of community-based sample in Kerala, high burden of NCD risk factors was observed, comparable to that in the United States. These data may serve to propel multisectoral efforts to lower the community burden of NCD risk factors in India in general, and in Kerala, in particular.
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    Urban rural difference in prevalence of self reported diabetes in India – The WHO - ICMR Indian NCD risk factor Surveillance.
    (Diabetes Research and Clinical Practice, 2008) Mohan,V; Mathur, P; Deepa, R; Deepa, M; Shukla, DK; Menon, GR; Anand, K; Desai, NG; Joshi, PP; Mahanta, J; Thankappan, KR; Shah, B
    Recent reports show strikingly high prevalence of diabetes among urban Asian Indians; however, there are very few studies comparing urban, peri-urban and rural prevalence rates of diabetes and their risk factors at the national level. This study is a part of the national non-communicable diseases (NCD) risk factor surveillance conducted in different geographical locations (North, South, East, West/Central) in India between April 2003 and March 2005. A total of 44,523 individuals (age: 15-64 years) inclusive of 15,239 from urban, 15,760 from peri-urban/slum and 13,524 from rural areas were recruited. Major risk factors were studied using modified WHO STEPS approach. Diabetes was diagnosed based on self-reported diabetes diagnosed by a physician. The lowest prevalence of self-reported diabetes was recorded in rural (3.1%) followed by peri-urban/slum (3.2%) and the highest in urban areas (7.3%, odds ratio (OR) for urban areas: 2.48, 95% confidence interval (CI): 2.21-2.79, p<0.001). Urban residents with abdominal obesity and sedentary activity had the highest prevalence of self-reported diabetes (11.3%) while rural residents without abdominal obesity performing vigorous activity had the lowest prevalence (0.7%). In conclusion, this nation-wide NCD risk factor surveillance study shows that the prevalence of self-reported diabetes is higher in urban, intermediate in peri-urban and lowest in rural areas. Urban residence, abdominal obesity and physical inactivity are the risk factors associated with diabetes in this study.
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    Urban rural differences in prevalence of self-reported diabetes in India - The WHO-ICMR Indian NCD risk factor surveillance
    (DIABETES RESEARCH AND CLINICAL PRACTICE, 2008) Mohan, V; Mathur, P; Deepa, R; Deepa, M; Shukla, DK; Menon, GR; Anand, K; Desai, NG; Joshi, PP; Mahanta, J; Thankappan, KR; Shah, B
    Recent reports show strikingly high prevalence of diabetes among urban Asian Indians; however, there are very few studies comparing urban, peri-urban and rural prevalence rates of diabetes and their risk factors at the national level. This study is a part of the national non-communicable diseases (NCD) risk factor surveillance conducted in different geographical locations (North, South, East, West/central) in India between April 2003 and March 2005. A total of 44,523 individuals (age: 15-64 years) inclusive of IS,239 from urban, 15,760 from peri-urban/slum and 13,524 from rural areas were recruited. Major risk factors were studied using modified WHO STEPS approach. Diabetes was diagnosed based on self-reported diabetes diagnosed by a physician. The lowest prevalence of self-reported diabetes was recorded in rural (3.1%) followed by peri-urban/slum (3.2%) and the highest in urban areas (7.3%, odds ratio (OR) for urban areas: 2.48, 95% confidence interval (Cl): 2.21-2.79, p < 0.001). Urban residents with abdominal obesity and sedentary activity had the highest prevalence of self-reported diabetes (11.3%) while rural residents without abdominal obesity performing vigorous activity had the lowest prevalence (0.7%). In conclusion, this nation-wide NCD risk factor surveillance study shows that the prevalence of self-reported diabetes is higher in urban, intermediate in peri-urban and lowest in rural areas. Urban residence, abdominal obesity and physical inactivity are the risk factors associated with diabetes in this study. (c) 2007 Elsevier Ireland Ltd. All rights reserved.