{"id":27309,"date":"2015-04-01T00:00:00","date_gmt":"2018-12-03T21:51:07","guid":{"rendered":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/socioeconomic-status-and-cardiovascular-risk-in-urban-south\/"},"modified":"2018-12-03T22:51:07","modified_gmt":"2018-12-03T21:51:07","slug":"socioeconomic-status-and-cardiovascular-risk-in-urban-south","status":"publish","type":"resume","link":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/socioeconomic-status-and-cardiovascular-risk-in-urban-south\/","title":{"rendered":"Socioeconomic status and cardiovascular risk in urban South Asia: The CARRS Study."},"content":{"rendered":"<p style=\"text-align: justify\"><strong>BACKGROUND<\/strong><br \/>\nAlthough South Asians experience cardiovascular disease (CVD) and risk factors at an early age, the distribution of CVD risks across the socioeconomic spectrum remains unclear.<\/p>\n<p style=\"text-align: justify\"><strong>METHODS<\/strong><br \/>\nWe analysed the 2011 Centre for Cardiometabolic Risk Reduction in South Asia survey data including 16,288 non-pregnant adults (&acirc;?&yen;20 years) that are representative of Chennai and Delhi, India, and Karachi, Pakistan. Socioeconomic status (SES) was defined by highest education (primary schooling, high\/secondary schooling, college graduate or greater); wealth tertiles (low, middle, high household assets) and occupation (not working outside home, semi\/unskilled, skilled, white-collar work). We estimated age and sex-standardized prevalence of behavioural (daily fruit\/vegetables; tobacco use), weight (body mass index; waist-to-height ratio) and metabolic risk factors (diabetes, hypertension, hypercholesterolaemia; hypo-HDL; and hypertriglyceridaemia) by each SES category.<\/p>\n<p style=\"text-align: justify\"><strong>RESULTS<\/strong><br \/>\nAcross cities, 61.2% and 16.1% completed secondary and college educations, respectively; 52.8% reported not working, 22.9% were unskilled; 21.3% were skilled and 3.1% were white-collar workers. For behavioural risk factors, low fruit\/vegetable intake, smoked and smokeless tobacco use were more prevalent in lowest education, wealthy and occupation (for men only) groups compared to higher SES counterparts, while weight-related risks (body mass index 25.0-29.9 and &acirc;?&yen;30&acirc;??kg\/m(2); waist-to-height ratio &acirc;?&yen;0.5) were more common in higher educated and wealthy groups, and technical\/professional men. For metabolic risks, a higher prevalence of diabetes, hypertension and dyslipidaemias was observed in more educated and affluent groups, with unclear patterns across occupation groups.<\/p>\n<p style=\"text-align: justify\"><strong>CONCLUSIONS<\/strong><br \/>\nSES-CVD patterns are heterogeneous, suggesting customized interventions for different SES groups may be warranted. Different behavioural, weight, and metabolic risk factor prevalence patterns across SES indicators may signal on-going epidemiological transition in South Asia.<\/p>\n","protected":false},"template":"","mots_cles":[],"class_list":["post-27309","resume","type-resume","status-publish","hentry"],"acf":{"adresse":"Rollins School of Public Health, Emory University, USA mkali@emory.edu","annee":"2015","mois":"4","numero":":","page":"","auteurs":[{"ID":1453,"post_author":"0","post_date":"2018-12-03 15:59:30","post_date_gmt":"2018-12-03 14:59:30","post_content":"","post_title":"Dorairaj Prabhakaran","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"dorairaj-prabhakaran","to_ping":"","pinged":"","post_modified":"2018-12-03 15:59:30","post_modified_gmt":"2018-12-03 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Ali","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"mohammed-k-ali","to_ping":"","pinged":"","post_modified":"2018-12-03 20:52:34","post_modified_gmt":"2018-12-03 19:52:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/auteur\/mohammed-k-ali\/","menu_order":0,"post_type":"auteur_resume","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":11610,"post_author":"0","post_date":"2018-12-03 18:37:18","post_date_gmt":"2018-12-03 17:37:18","post_content":"","post_title":"Nikhil Tandon","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nikhil-tandon","to_ping":"","pinged":"","post_modified":"2018-12-03 18:37:18","post_modified_gmt":"2018-12-03 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Pradeepa","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"rajendra-pradeepa","to_ping":"","pinged":"","post_modified":"2018-12-03 22:43:34","post_modified_gmt":"2018-12-03 21:43:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/auteur\/rajendra-pradeepa\/","menu_order":0,"post_type":"auteur_resume","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":27307,"post_author":"0","post_date":"2018-12-03 22:51:06","post_date_gmt":"2018-12-03 21:51:06","post_content":"","post_title":"M Masood Kadir","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"m-masood-kadir","to_ping":"","pinged":"","post_modified":"2018-12-03 22:51:06","post_modified_gmt":"2018-12-03 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