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PLOS ONE | 2012

Association of educational, occupational and socioeconomic status with cardiovascular risk factors in Asian Indians: a cross-sectional study.

Rajeev Gupta; Prakash Deedwania; Krishnakumar Sharma; Arvind Gupta; Soneil Guptha; Vijay Achari; Arthur J. Asirvatham; Anil Bhansali; Balkishan Gupta; Sunil Kumar Gupta; Mallikarjuna V. Jali; Tulika Goswami Mahanta; Anuj Maheshwari; Banshi Saboo; Jitendra Singh; Rajiv Gupta

Background To determine correlation of multiple parameters of socioeconomic status with cardiovascular risk factors in India. Methods The study was performed at eleven cities using cluster sampling. Subjects (n = 6198, men 3426, women 2772) were evaluated for socioeconomic, demographic, biophysical and biochemical factors. They were classified into low, medium and high socioeconomic groups based on educational level (<10, 10–15 and >15 yr formal education), occupational class and socioeconomic scale. Risk factor differences were evaluated using multivariate logistic regression. Results Age-adjusted prevalence (%) of risk factors in men and women was overweight or obesity in 41.1 and 45.2, obesity 8.3 and 15.8, high waist circumference 35.7 and 57.5, high waist-hip ratio 69.0 and 83.8, hypertension 32.5 and 30.4, hypercholesterolemia 24.8 and 25.3, low HDL cholesterol 34.1 and 35.1, high triglycerides 41.2 and 31.5, diabetes 16.7 and 14.4 and metabolic syndrome in 32.2 and 40.4 percent. Lifestyle factors were smoking 12.0 and 0.5, other tobacco use 12.7 and 6.3, high fat intake 51.2 and 48.2, low fruits/vegetables intake 25.3 and 28.9, and physical inactivity in 38.8 and 46.1%. Prevalence of > = 3 risk factors was significantly greater in low (28.0%) vs. middle (23.9%) or high (22.1%) educational groups (p<0.01). In low vs. high educational groups there was greater prevalence of high waist-hip ratio (odds ratio 2.18, confidence interval 1.65–2.71), low HDL cholesterol (1.51, 1.27–1.80), hypertriglyceridemia (1.16, 0.99–1.37), smoking/tobacco use (3.27, 2.66–4.01), and low physical activity (1.15, 0.97–1.37); and lower prevalence of high fat diet (0.47, 0.38–0.57),overweight/obesity (0.68, 0.58–0.80) and hypercholesterolemia (0.79, 0.66–0.94). Similar associations were observed with occupational and socioeconomic status. Conclusions Low educational, occupational and socioeconomic status Asian Indians have greater prevalence of truncal obesity, low HDL cholesterol, hypertriglyceridemia, smoking or tobacco use and low physical activity and clustering of > = 3 major cardiovascular risk factors.


BMJ open diabetes research & care | 2014

Prevalence of diabetes and cardiovascular risk factors in middle-class urban participants in India.

Arvind Gupta; Rajeev Gupta; Krishna Kumar Sharma; Sailesh Lodha; Vijay Achari; Arthur J. Asirvatham; Anil Bhansali; Balkishan Gupta; Sunil Kumar Gupta; Mallikarjuna V. Jali; Tulika Goswami Mahanta; Anuj Maheshwari; Banshi Saboo; Jitendra Singh; Prakash Deedwania

Objectives To determine the prevalence of diabetes and awareness, treatment and control of cardiovascular risk factors in population-based participants in India. Methods A study was conducted in 11 cities in different regions of India using cluster sampling. Participants were evaluated for demographic, biophysical, and biochemical risk factors. 6198 participants were recruited, and in 5359 participants (86.4%, men 55%), details of diabetes (known or fasting glucose >126 mg/dL), hypertension (known or blood pressure >140/>90 mm Hg), hypercholesterolemia (cholesterol >200 mg/dL), low high-density lipoprotein (HDL) cholesterol (men <40, women <50 mg/dL), hypertriglyceridemia (>150 mg/dL), and smoking/tobacco use were available. Details of awareness, treatment, and control of hypertension and hypercholesterolemia were also obtained. Results The age-adjusted prevalence (%) of diabetes was 15.7 (95% CI 14.8 to 16.6; men 16.7, women 14.4) and that of impaired fasting glucose was 17.8 (16.8 to 18.7; men 17.7, women 18.0). In participants with diabetes, 27.6% were undiagnosed, drug treatment was in 54.1% and control (fasting glucose ≤130 mg/dL) in 39.6%. Among participants with diabetes versus those without, prevalence of hypertension was 73.1 (67.2 to 75.0) vs 26.5 (25.2 to 27.8), hypercholesterolemia 41.4 (38.3 to 44.5) vs 14.7 (13.7 to 15.7), hypertriglyceridemia 71.0 (68.1 to 73.8) vs 30.2 (28.8 to 31.5), low HDL cholesterol 78.5 (75.9 to 80.1) vs 37.1 (35.7 to 38.5), and smoking/smokeless tobacco use in 26.6 (23.8 to 29.4) vs 14.4 (13.4 to 15.4; p<0.001). Awareness, treatment, and control, respectively, of hypertension were 79.9%, 48.7%, and 40.7% and those of hypercholesterolemia were 61.0%, 19.1%, and 45.9%, respectively. Conclusions In the urban Indian middle class, more than a quarter of patients with diabetes are undiagnosed and the status of control is low. Cardiovascular risk factors—hypertension, hypercholesterolemia, low HDL cholesterol, hypertriglyceridemia, and smoking/smokeless tobacco use—are highly prevalent. There is low awareness, treatment, and control of hypertension and hypercholesterolemia in patients with diabetes.


Diabetes and Metabolic Syndrome: Clinical Research and Reviews | 2014

High prevalence of metabolic syndrome among urban subjects in India: A multisite study

Prakash Deedwania; Rajeev Gupta; Krishna Kumar Sharma; Vijay Achari; Balkishan Gupta; Anuj Maheshwari; Arvind Gupta

OBJECTIVE Metabolic syndrome is an important cardiovascular risk factor. To determine its prevalence among urban subjects in India we performed a multisite study. METHODS The study was performed at eleven cities using cluster sampling. 6198 subjects (men 3426, women 2772, response 62%, age 48±10 years) were evaluated for socio-demographic, lifestyle, anthropometric and biochemical factors. Prevalence of metabolic syndrome was determined using harmonized Asian-specific criteria. Significant socioeconomic and lifestyle associations were determined. RESULTS Age adjusted prevalence (%, 95% confidence intervals) of metabolic syndrome in men and women was 33.3 (31.7-34.9) and 40.4 (38.6-42.2) (harmonized criteria), 23.9 (22.4-26.4) and 34.5 (32.0-36.1) (modified Adult Treatment Panel-3, ATP-3) and 17.2 (15.3-19.1) and 22.8 (20.1-24.2) (ATP-3). Individual components of metabolic syndrome in men and women, respectively, were: high waist circumference 35.7 (34.1-37.3) and 57.5 (55.6-59.3), high blood pressure 50.6 (48.9-52.3) and 46.3 (44.4-48.1), impaired fasting glucose/diabetes 29.0 (27.5-30.5) and 28.0 (26.3-29.7), low HDL cholesterol 34.1 (32.5-35.7) and 52.8 (50.9-54.7) and high triglycerides 41.2 (39.5-42.8) and 31.5 (29.7-33.2) percent. Prevalence of metabolic syndrome was significantly greater in subjects with highest vs. lowest categories of education (45 vs. 26%), occupation (46 vs. 40%), fat intake (52 vs. 45%), sedentary lifestyle (47 vs. 38%) and body mass index (66 vs. 29%) (p<0.05). CONCLUSION There is high prevalence of metabolic syndrome in urban Indian subjects. Socioeconomic (high educational and occupational status) and lifestyle (high fat diet, low physical activity, overweight and obesity) factors are important.


Echocardiography-a Journal of Cardiovascular Ultrasound and Allied Techniques | 2003

Ankylosing Spondylitis in Association With Mitral Stenosis, Mitral Regurgitation, and Aortic Regurgitation: A Case Report and Review of the Literature

Balkishan Gupta; Raja Babu Panwar; P. K. Kabra; A. N. Kaushik; G. L. Meena; V. S. Chadda

We report on a patient with ankylosing spondylitis in association with mitral stenosis, mitral regurgitation, and aortic regurgitation. Despite extensive search of literature, we could not find association of mitral stenosis with ankylosing spondylitis. This report is the first to describe this association. Our findings are based on clinical and echocardiographic findings. (ECHOCARDIOGRAPHY, Volume 20, April 2003)


Indian Journal of Pediatrics | 2007

Atherosclerotic risk factors in adolescents

Rajesh Dholpuria; Sadik Raja; Balkishan Gupta; C. K. Chahar; Rajababu Panwar; Rajeev Gupta; V. P. Purohit


Indian heart journal | 2014

Cholesterol lipoproteins and prevalence of dyslipidemias in urban Asian Indians: a cross sectional study.

Soneil Guptha; Rajeev Gupta; Prakash Deedwania; Anil Bhansali; Anuj Maheshwari; Arvind Gupta; Balkishan Gupta; Banshi Saboo; Jitendra Singh; Vijay Achari; Krishna Kumar Sharma


Global heart | 2015

Low Prevalence of AHA-Defined Ideal Cardiovascular Health Factors Among Urban Men and Women in India.

Balkishan Gupta; Rajeev Gupta; Krishna Kumar Sharma; Arvind Gupta; Tulika Goswami Mahanta; Prakash Deedwania


Global heart | 2017

Low Prevalence of AHA-Defined Ideal Cardiovascular Health Factors: A Study of Urban Indian Men and Women

Balkishan Gupta; Rajeev Gupta; Krishna Kumar Sharma; Arvind Gupta; Tulika Goswami Mahanta; Prakash Deedwania


Global heart | 2014

PW219 Prevalence Of Metabolic Syndrome And Association With Lifestyle Factors In India: A Nationwide Cross Sectional Study In Urban Subjects

Prakash Deedwania; Rajeev Gupta; Krishnakumar Sharma; Vijay Achari; Anil Bhansali; Balkishan Gupta; Anuj Maheshwari; Tulika Goswami Mahanta; Arvind Gupta


Global heart | 2014

PM316 Depression, Chronic Stress, Or Both, And Cardiovascular Risk Factors: A Cross Sectional Study Among Urban Subjects In India

Rajeev Gupta; Sonia Suchday; Krishnakumar Sharma; Balkishan Gupta; Vijay Achari; Jitendra Singh; Anil Bhansali; Arthur J Asirvatham; Rajababu Panwar; Prakash Deedwania

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Vijay Achari

Patna Medical College and Hospital

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Anil Bhansali

Post Graduate Institute of Medical Education and Research

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Anuj Maheshwari

Babu Banarasi Das University

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Krishna Kumar Sharma

Rajasthan University of Health Sciences

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Soneil Guptha

University of California

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Mallikarjuna V. Jali

Jawaharlal Nehru Medical College

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