Browsing by Author "Joshi, PP"
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Item DISTRIBUTION OF 10-YEAR AND LIFETIME PREDICTED RISK FOR CARDIOVASCULAR DISEASE IN THE INDIAN SENTINEL SURVEILLANCE STUDY POPULATION(JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2011) Jeemon, P; Prabhakaran, D; Huffman, M; Goenka, S; Ramakrishnan, L; Thankappan, KR; Mohan, V; Joshi, PP; Lloyd-Jones, DM; Reddy, KSItem Distribution of 10-year and lifetime predicted risk for cardiovascular disease in the Indian Sentinel Surveillance Study population (cross-sectional survey results)(BMJ OPEN, 2011) Jeemon, P; Prabhakaran, D; Huffman, MD; Ramakrishnan, L; Goenka, S; Thankappan, KR; Mohan, V; Joshi, PP; Mohan, BVM; Ahmed, F; Ramanathan, M; Ahuja, R; Chaturvedi, V; Lloyd-Jones, DM; Reddy, KSIntroduction: Cardiovascular disease (CVD) prevention guidelines recommend lifetime risk stratification for primary prevention of CVD, but no such risk stratification has been performed in India to date. Methods: The authors estimated short-term and lifetime predicted CVD risk among 10 054 disease-free, adult Indians in the 20-69-year age group who participated in a nationwide risk factor surveillance study. The study population was then stratified into high short-term (>= 10% 10-year risk or diabetes), low short-term (<10%)/high lifetime and low short-term/low lifetime CVD risk groups. Results: The mean age (SD) of the study population (men=63%) was 40.8 +/- 10.9 years. High short-term risk for coronary heart disease was prevalent in more than one-fifth of the population (23.5%, 95% CI 22.7 to 24.4). Nearly half of individuals with low short-term predicted risk (48.2%, 95% CI 47.1 to 49.3) had a high predicted lifetime risk for CVD. While the proportion of individuals with all optimal risk factors was 15.3% (95% CI 14.6% to 16.0%), it was 20.6% (95% CI 18.7% to 22.6%) and 8.8% (95% CI 7.7% to 10.5%) in the highest and lowest educational groups, respectively. Conclusion: Approximately one in two men and three in four women in India had low short-term predicted risks for CVD in this national study, based on aggregate risk factor burden. However, two in three men and one in two women had high lifetime predicted risks for CVD, highlighting a key limitation of short-term risk stratification.Item Distribution of 10-year lifetime predicted risk for cardiovascular disease in the Indian Sentinel Surveillance Study population (Cross –sectional survey results).(BMJ Open, 2011) Jeemon, P; Prabhakaran, D; Huffman, MD; Ramakrishnan, L; Goenka, S; Thankappan, KR; Mohan, V; Joshi, PP; Mohan, BVM; Ahmed, F; Ramanathan, M; Ajuja, R; Chaturvedi, V; Lloyd-Jones, D; Reddy, KSIntroduction:Cardiovascular disease (CVD) prevention guidelines recommend lifetime risk stratification for primary prevention of CVD, but no such risk stratification has been performed in India to date.METHODS:The authors estimated short-term and lifetime predicted CVD risk among 10,054 disease-free, adult Indians in the 20-69-year age group who participated in a nationwide risk factor surveillance study. The study population was then stratified into high short-term (? 10% 10-year risk or diabetes), low short-term (<10%)/high lifetime and low short-term/low lifetime CVD risk groups.RESULTS: The mean age (SD) of the study population (men=63%) was 40.8 ± 10.9 years. High short-term risk for coronary heart disease was prevalent in more than one-fifth of the population (23.5%, 95% CI 22.7 to 24.4). Nearly half of individuals with low short-term predicted risk (48.2%, 95% CI 47.1 to 49.3) had a high predicted lifetime risk for CVD. While the proportion of individuals with all optimal risk factors was 15.3% (95% CI 14.6% to 16.0%), it was 20.6% (95% CI 18.7% to 22.6%) and 8.8% (95% CI 7.7% to 10.5%) in the highest and lowest educational groups, respectively.CONCLUSION: Approximately one in two men and three in four women in India had low short-term predicted risks for CVD in this national study, based on aggregate risk factor burden. However, two in three men and one in two women had high lifetime predicted risks for CVD, highlighting a key limitation of short-term risk stratification.Item Double burden of underweight and overweight among children (10-19 years of age) of employees working in Indian industrial units(The National Medical Journal of India, 2009) Jeemon, P; Prabhakaran, D; Mohan, V; Thankappan, KR; Joshi, PP; Ahmed, F; Chaturvedi, V; Reddy, KSBACKGROUND: Along with the existing problem of underweight, overweight in children is increasing in the developing world. However, there is little information on its magnitude and pattern in the Indian context. We aimed to study the pattern and correlates of overweight in Indian children and adolescents.METHODS: A total of 3750 children in the age group of 10-19 years, who were family members of randomly selected employees from 10 different industrial sites in India, were surveyed using an interviewer-administered questionnaire. RESULTS: The prevalence of underweight was highest in peri-urban areas (30.2% and 53.2% according to Indian and international criteria, respectively). In urban and highly urban areas, the prevalence of underweight was 14.1% and 9.8%, respectively, according to the Indian criteria, and 27.1% and 19.2%, respectively, according to international criteria. The proportion of overweight children was highest in the highly urban category (19.1% and 13.4% according to Indian and international criteria, respectively). The level of urbanization (OR 3.1 and 4.7 for overweight in urban and highly urban areas, respectively, compared with peri-urban areas, p < 0.001), physical activity (OR 0.4, p < 0.001, in children with physical activity score > or = 75th percentile compared with a score < or = 75th percentile) and frequency of meals outside the home (OR 12, p < 0.001, if > 25% weekly meals taken outside the home compared with < 25% of weekly meals outside home) were significant predictors of overweight. CONCLUSION: There is a double burden of underweight and overweight among Indian children and adolescents.Item 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, KRDried 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).Item Methods for establishing a surveillance system for cardiovascular diseases in Indian industrial populations(BULLETIN OF THE WORLD HEALTH ORGANIZATION, 2006) Reddy, KS; Prabhakaran, D; Chaturvedi, V; Jeemon, P; Thankappan, KR; Ramakrishnan, L; Mohan, BVM; Pandav, CS; Ahmed, FU; Joshi, PP; Meera, R; Amin, RB; Ahuja, RC; Das, MS; Jaison, TMObjective To establish a surveillance network for cardiovascular diseases (CVD) risk factors in industrial settings and estimate the risk factor burden using standardized tools. Methods We conducted a baseline cross-sectional survey (as part of a CVD surveillance programme) of industrial populations from 10 companies across India, situated in close proximity to medical colleges that served as study centres. The study subjects were employees (selected by age and sex stratified random sampling) and their family members. Information on behavioural, clinical and biochemical determinants was obtained through standardized methods (questionnaires, clinical measurements and biochemical analysis). Data collation and analyses were done at the national coordinating centre. Findings We report the prevalence of CVD risk factors among individuals aged 20-69 years (n = 19 973 for the questionnaire survey, n = 10 442 for biochemical investigations); mean age was 40 years. The overall prevalence of most risk factors was high, with 50.9% of men and 51.9% of women being overweight, central obesity was observed among 30.9% of men and 32.8% of women, and 40.2% of men and 14.9% of women reported current tobacco use. Self-reported prevalence of diabetes (5.3%) and hypertension (10.9%) was lower than when measured clinically and biochemically (10.1% and 27.7%, respectively). There was marked heterogeneity in the prevalence of risk factors among the study centres. Conclusion There is a high burden of CVD risk factors among industrial populations across India. The surveillance system can be used as a model for replication in India as well as other developing countries.Item Methods for establishing a surveillance system for cardiovascular diseases in Indian industrial populations.(Bulletin of the World Health Organization, 2006) Reddy, KS; Prabhakaran, D; Chaturvedi, V; Jeemon, P; Thankappan, KR; Ramakrishnan, L; Mohan, BVM; Pandav, CS; Ahmed, FU; Joshi, PP; Meera, R; Amin, RB; Ahuja, RC; Das, MS; Jaison, TMOBJECTIVE:To establish a surveillance network for cardiovascular diseases (CVD) risk factors in industrial settings and estimate the risk factor burden using standardized tools. METHODS: We conducted a baseline cross-sectional survey (as part of a CVD surveillance programme) of industrial populations from 10 companies across India, situated in close proximity to medical colleges that served as study centres. The study subjects were employees (selected by age and sex stratified random sampling) and their family members. Information on behavioural, clinical and biochemical determinants was obtained through standardized methods (questionnaires, clinical measurements and biochemical analysis). Data collation and analyses were done at the national coordinating centre. FINDINGS:We report the prevalence of CVD risk factors among individuals aged 20-69 years (n = 19 973 for the questionnaire survey, n = 10 442 for biochemical investigations); mean age was 40 years. The overall prevalence of most risk factors was high, with 50.9% of men and 51.9% of women being overweight, central obesity was observed among 30.9% of men and 32.8% of women, and 40.2% of men and 14.9% of women reported current tobacco use. Self-reported prevalence of diabetes (5.3%) and hypertension (10.9%) was lower than when measured clinically and biochemically (10.1% and 27.7%, respectively). There was marked heterogeneity in the prevalence of risk factors among the study centres. CONCLUSION:There is a high burden of CVD risk factors among indusItem 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, BRecent 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.Item 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, BRecent 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.