Browsing by Author "Ramakrishnan, L"

Now showing 1 - 13 of 13
  • Item
    Association of high sensitive C-reactive protein (hsCRP) with established cardiovascular risk factors in the Indian population
    (Nutrition & Metabolism, 2011) Jeemon, P; Prabhakaran, D; Ramakrishnan, L; Gupta, R; Ahmed, F; Thankappan, KR; Kartha, CC; Chaturvedi, V; Reddy, KS
    INTRODUCTION: Inflammation, the key regulator of C-reactive protein (CRP) synthesis, plays a pivotal role in atherothrombotic cardiovascular disease.METHODS: High sensitivity CRP (hsCRP) analysis was carried out in randomly selected 600 individuals from the sentinel surveillance study in Indian industrial population (SSIP). The hsCRP was measured quantitatively by turbid metric test using kits from SPINREACT, Spain. We analyzed the association between hsCRP and traditional CVD risk factors in this sub-sample.RESULTS: Complete risk factor data and CRP levels were available from 581/600 individuals. One half (51.2%) of the study subjects were males. Mean age of the study group was 39.2 ± 11.2 years. The Pearson correlation coefficients were in the range of 0.12 for SBP (p = 0.004) to 0.55 for BMI (p < 0.001). The linear regression coefficients ranged from 0.01 for SBP, PG and TC (p < 0.001) to 0.55 for logeTAG (p < 0.001) after adjustment for age, sex and education. The mean of logehsCRP significantly increased (P < 0.001) from individuals with ?1 risk factors (-0.50) to individuals with three or more risk factors (0.60). In the multivariate model, the odds ratios for elevated CRP (CRP ? 2.6 mg/dl) were significantly elevated only in females in comparison to males (1.63, 95% CI; 1.02-2.58), overweight individuals in comparison to normal weight individuals (3.90, 95% CI; 2.34-6.44, p < 0.001), and abdominal obese individuals (1.62, 95% CI; 1.02-2.60, p = 0.04) in comparison to non-obese individuals.CONCLUSION: Clinical measurements of adiposity (body mass index and abdominal obesity) correlate well and can be surrogate for systemic inflammatory state of individuals.
  • 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, KS
  • Item
    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, KS
    Introduction: 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, KS
    Introduction: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
    Educational status and cardiovascular risk profile in Indians
    (Proceedings of the National Academy of Sciences, USA, 2007) Reddy, KS; Prabhakaran, D; Jeemon, P; Thankappan, KR; Joshi, P; Chaturvedi, V; Ramakrishnan, L; Ahmed, F
    The inverse graded relationship of education and risk factors of coronary heart disease (CHD) has been reported from Western populations. To examine whether risk factors of CHD are predicted by level of education and influenced by the level of urbanization in Indian industrial populations, a cross-sectional survey (n = 19,973; response rate, 87.6%) was carried out among employees and their family members in 10 medium-to-large industries in highly urban, urban, and periurban regions of India. Information on behavioral, clinical, and biochemical risk factors of CHD was obtained through standardized instruments, and educational status was assessed in terms of the highest educational level attained. Data from 19,969 individuals were used for analysis. Tobacco use and hypertension were significantly more prevalent in the low- (56.6% and 33.8%, respectively) compared with the high-education group (12.5% and 22.7%, respectively; P < 0.001). However, dyslipidemia prevalence was significantly higher in the high-education group (27.1% as compared with 16.9% in the lowest-education group; P < 0.01). When stratified by the level of urbanization, industrial populations located in highly urbanized centers were observed to have an inverse graded relationship (i.e., higher-education groups had lower prevalence) for tobacco use, hypertension, diabetes, and overweight, whereas in less-urbanized locations, we found such a relationship only for tobacco use and hypertension. This study indicates the growing vulnerability of lower socioeconomic groups to CHD. Preventive strategies to reduce major CHD risk factors should focus on effectively addressing these social disparities.
  • Item
    Impact of alcohol on coronary heart disease in Indian men
    (Atherosclerosis, 2010) Roy, A; Prabhakaran, D; Jeemon, P; Thankappan, KR; Mohan, V; Ramakrishnan, L; Joshi, P; Ahmed, F; Mohan, BV; Saran, RK; Sinha, N; Reddy, KS
    BACKGROUND: Moderate alcohol consumption is known to be protective against coronary heart disease (CHD). However, the INTERHEART study, a case-control study of acute myocardial infarction (MI) patients, revealed that alcohol consumption in South Asians was not protective against CHD. We therefore planned to study cardiovascular risk factor and CHD prevalence among male alcohol users as compared to age matched lifetime abstainers. METHODS: The subjects for this study were recruited from a cross-sectional survey carried out among employees and their family members aged 20-69 years in 10 medium-to-large industries from diverse sites in India, using a stratified random sampling technique. Information on education, behavioral, clinical and biochemical risk factors of CHD and alcohol use was obtained through standardized instruments. CHD diagnosis was based on Rose Questionnaire or a prior physician diagnosed CHD. RESULTS: A total of 4465 subjects were present or past alcohol users. The mean age of alcohol users and lifetime abstainers was 42.8+/-11.0 years and 42.8+/-11.1 years, respectively (p=0.90). Systolic blood pressure and diastolic blood pressure were significantly higher in alcohol users (128.7+/-17.6 mmHg/80.1+/-11.3 mmHg) as compared to lifetime abstainers (126.9+/-15.9 mmHg/79.5+/-10.3 mmHg, p<0.01). Fasting blood sugar in alcohol users (98.7+/-30.5 mg%) was also significantly higher than lifetime abstainers (96.6+/-26.0 mg%, p<0.01). Total cholesterol was lower in alcohol users (179.1+/-41.1 mg%) as compared to lifetime abstainers (182.7+/-38.2 mg%, p<0.01). HDL cholesterol was higher in alcohol users (42.9+/-10.8 mg%) as compared to lifetime abstainers (41.3+/-10.0 mg%, p<0.01). Body mass index (BMI) was lower in alcohol users as compared to lifetime abstainers (22.7+/-4.1 kg/m2 vs. 24.0+/-3.3 kg/m2, p<0.001). Tobacco use was significantly higher in alcohol users (63.1% vs. 20.7%). The odds ratio (OR) of having CHD after adjusting for tobacco use, BMI and education was 1.4 (95%CI 1.0-1.9) in alcohol users as compared to controls. The OR was 1.2 (95%CI 0.8-1.6) in occasional alcohol users, 1.6 (95%CI 1.0-2.2) in regular alcohol users and 2.1 (95% CI 1.1-3.0) in past alcohol users as compared to controls.CONCLUSION:We did not observe an inverse (protective) association between alcohol intake and the prevalence of CHD. In contrast, our study indicated an association in the reverse direction, suggesting possible harm of alcohol for coronary risk in Indian men. This relationship needs to be further examined in large, prospective study.
  • Item
    Impact of comprehensive cardiovascular risk reduction program on risk factor clustering associated with elevated blood pressure in an Indian industrial population.
    (Indian Journal of Medical Research, 2012) Jeemon, P; Prabhakaran, D; Goenka, S; Ramakrishnan, L; Padmanabhan, S; Huffman, M; Joshi, P; Sivasankaran, S; Mohan, BVM; Ahmed, F; Ramanathan, M; Ahuja, R; Sinha, N; Thankappan, KR; Reddy, KS
    Cardiovascular risk factors clustering associated with blood pressure (BP) has not been studied in the Indian population. This study was aimed at assessing the clustering effect of cardiovascular risk factors with suboptimal BP in Indian population as also the impact of risk reduction interventions.
  • Item
    Impact of comprehensive cardiovascular risk reduction programme on risk factor clustering associated with elevated blood pressure in an Indian industrial population
    (INDIAN JOURNAL OF MEDICAL RESEARCH, 2012) Jeemon, P; Prabhakaran, D; Goenka, S; Ramakrishnan, L; Padmanabhan, S; Huffman, M; Joshi, P; Sivasankaran, S; Mohan, BVM; Ahmed, F; Ramanathan, M; Ahuja, R; Sinha, N; Thankappan, KR; Reddy, KS
    Background & objectives: Cardiovascular risk factors clustering associated with blood pressure (BP) has not been studied in the Indian population. This study was aimed at assessing the clustering effect of cardiovascular risk factors with suboptimal BP in Indian population as also the impact of risk reduction interventions. Methods: Data from 10543 individuals collected in a nation-wide surveillance programme in India were analysed. The burden of risk factors clustering with blood pressure and coronary heart disease (CHD) was assessed. The impact of a risk reduction programmme on risk factors clustering was prospectively studied in a sub-group. Results: Mean age of participants was 40.9 +/- 11.0 yr. A significant linear increase in number of risk factors with increasing blood pressure, irrespective of stratifying using different risk factor thresholds was observed. While hypertension occurred in isolation in 2.6 per cent of the total population, co-existence of hypertension and > 3 risk factors was observed in 12.3 per cent population. A comprehensive risk reduction programme significantly reduced the mean number of additional risk factors in the intervention population across the blood pressure groups, while continued to be high in the control arm without interventions (both within group and between group P < 0.001). The proportion of 'low risk phenotype' increased from 13.4 to 19.9 per cent in the intervention population and it was decreased from 27.8 to 10.6 per cent in the control population (P < 0.001). The proportion of individuals with hypertension and three more risk factors decreased from 10.6 to 4.7 per cent in the intervention arm while it was increased from 113.3 to 17.8 per cent in the control arm (P < 0.001). Interpretation & conclusions: Our findings showed that cardiovascular risk factors clustered together with elevated blood pressure and a risk reduction programme significantly reduced the risk factors burden.
  • 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, TM
    Objective 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, TM
    OBJECTIVE: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 indus
  • Item
    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, KS
  • Item
    Prevalence and determinants of diabetes mellitus in the Indian industrial population
    (DIABETIC MEDICINE, 2008)
    Aim 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 >= 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.
  • Item
    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, KS
    AIM: 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.