Browsing by Author "Ahmed, FU"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
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 Paradoxical impact of alcohol consumption on coronary heart disease(EUROPEAN HEART JOURNAL, 2009) Roy, A; Prabhakaran, D; Jeemon, P; Thankappan, KR; Mohan, V; Ramakrishnan, L; Joshi, P; Ahmed, FU; Mohan, BVM; Reddy, KSItem Prevalence and determinants of diabetes mellitus in the Indian industrial population(Diabetic Medicine, 2008) Ajay, VS; Prabhakaran, D; Jeemon, P; Thankappan, KR; Mohan, V; Ramakrishnan, L; Joshi, P; Ahmed, FU; Mohan, BVM; Chaturvedi, R; Mukherjee, R; Reddy, KSAIM: To highlight the regional difference in the prevalence of diabetes mellitus (DM) and to explore determinants in variability in the Indian industrial population. METHODS: A cross-sectional survey was carried out among the employees and their family members (10 930 individuals, mean age 39.6 years, 6764 male) of eleven medium-to-large industries from diverse sites in India, using a stratified random sampling technique. Information on behavioural, clinical and biochemical risk factors of DM was obtained, through standardized instruments. DM was diagnosed when fasting blood glucose was > or = 7.0 mmol/l and/or individuals took drug treatment for DM. Multiple logistic regression analysis was carried out to identify the potential predictors of DM. RESULT: In the 20 to 69-year-old age group, the crude prevalence of DM and impaired fasting glucose was 10.1 and 5.3%, respectively. Urban sites had a higher prevalence and awareness of DM status. Individuals in the lower education group had a high prevalence of DM (11.6%). In diabetic subjects, 38.4% were unaware that they had diabetes. Waist-circumference-to-height ratio had a higher DM predictive power than waist circumference and body mass index. The risk factors associated with overall prevalence of DM were: age, sex, low-education level, family history of DM, hypertension and overweight/obesity. Interaction of risk factors was observed only in urban high-prevalence sites. CONCLUSION: There are wide regional variations in the prevalence of DM in India. The high burden of undetected diabetes, even in settings with universal access to on-site health care, highlights the need for innovative prevention and control strategies.