J Public Health (2015) 23:129–136 DOI 10.1007/s10389-015-0662-y
ORIGINAL ARTICLE
Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS) Vipin Gupta & Christopher Millett & Gagandeep Kaur Walia & Sanjay Kinra & Aastha Aggarwal & Poornima Prabhakaran & Santhi Bhogadi & Aniket Kumar & Ruby Gupta & D. Prabhakaran & K. Srinath Reddy & George Davey Smith & Yoav Ben-Shlomo & K. V. Radha Krishna & Shah Ebrahim
Received: 21 September 2014 / Accepted: 24 February 2015 / Published online: 11 March 2015 # The Author(s) 2015. This article is published with open access at Springerlink.com
Abstract Aim To assess the prevalence of cardiometabolic risk factors by socio-economic position (SEP) in rural and peri-urban Indian population. Subjects and methods Cross-sectional survey of 3,948 adults (1,154 households) from Telangana (2010–2012) was conducted to collect questionnaire-based data, physical measurements and fasting blood samples. We compared the prevalence of risk factors and their clustering by SEP adjusting for age using the Mantel Hansel test. Results Men and women with no education had higher prevalence of increased waist circumference (men: 8 vs. 6.4 %, P
ORIGINAL ARTICLE
Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS) Vipin Gupta & Christopher Millett & Gagandeep Kaur Walia & Sanjay Kinra & Aastha Aggarwal & Poornima Prabhakaran & Santhi Bhogadi & Aniket Kumar & Ruby Gupta & D. Prabhakaran & K. Srinath Reddy & George Davey Smith & Yoav Ben-Shlomo & K. V. Radha Krishna & Shah Ebrahim
Received: 21 September 2014 / Accepted: 24 February 2015 / Published online: 11 March 2015 # The Author(s) 2015. This article is published with open access at Springerlink.com
Abstract Aim To assess the prevalence of cardiometabolic risk factors by socio-economic position (SEP) in rural and peri-urban Indian population. Subjects and methods Cross-sectional survey of 3,948 adults (1,154 households) from Telangana (2010–2012) was conducted to collect questionnaire-based data, physical measurements and fasting blood samples. We compared the prevalence of risk factors and their clustering by SEP adjusting for age using the Mantel Hansel test. Results Men and women with no education had higher prevalence of increased waist circumference (men: 8 vs. 6.4 %, P
