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Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS)

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, phys...

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Autores principales: Gupta, Vipin, Millett, Christopher, Walia, Gagandeep Kaur, Kinra, Sanjay, Aggarwal, Aastha, Prabhakaran, Poornima, Bhogadi, Santhi, Kumar, Aniket, Gupta, Ruby, Prabhakaran, D., Reddy, K. Srinath, Smith, George Davey, Ben-Shlomo, Yoav, Krishna, K. V. Radha, Ebrahim, Shah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4434856/
https://www.ncbi.nlm.nih.gov/pubmed/26000232
http://dx.doi.org/10.1007/s10389-015-0662-y
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author Gupta, Vipin
Millett, Christopher
Walia, Gagandeep Kaur
Kinra, Sanjay
Aggarwal, Aastha
Prabhakaran, Poornima
Bhogadi, Santhi
Kumar, Aniket
Gupta, Ruby
Prabhakaran, D.
Reddy, K. Srinath
Smith, George Davey
Ben-Shlomo, Yoav
Krishna, K. V. Radha
Ebrahim, Shah
author_facet Gupta, Vipin
Millett, Christopher
Walia, Gagandeep Kaur
Kinra, Sanjay
Aggarwal, Aastha
Prabhakaran, Poornima
Bhogadi, Santhi
Kumar, Aniket
Gupta, Ruby
Prabhakaran, D.
Reddy, K. Srinath
Smith, George Davey
Ben-Shlomo, Yoav
Krishna, K. V. Radha
Ebrahim, Shah
author_sort Gupta, Vipin
collection PubMed
description 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 < 0.001; women: 20.9 vs. 12.0 %, P = 0.01), waist-hip ratio (men: 46.5 vs. 25.8 %, P = 0.003; women: 58.8 vs. 29.2 %, P = 0.04) and regular alcohol intake (61.7 vs. 32.5 %, P < 0.001; women: 25.7 vs. 3.8 %, P < 0.001) than educated participants. Unskilled participants had higher prevalence of regular alcohol intake (men: 57.7 vs. 38.7 %, P = 0.001; women: 28.3 vs. 7.3 %, P < 0.001). In contrast, participants with a higher standard of living index had higher prevalence of diabetes (top third vs. bottom third: men 5.2 vs. 3.5 %, P = 0.004; women 5.5 vs. 2.4 %, P = 0.003), hyperinsulinemia (men 29.5 vs. 16.3 %, P = 0.002; women 31.1 vs. 14.3 %, P < 0.001), obesity (men 23.3 vs. 10.6 %, P < 0.001; women 25.9 vs. 12.8 %, P < 0.001), and raised LDL (men 16.8 vs. 11.4 %, P = 0.001; women 21.3 vs. 14.0 %, P < 0.001). CONCLUSIONS: Cardiometabolic risk factors are common in rural India but do not show a consistent association with SEP except for higher prevalence of smoking and regular alcohol intake in lower SEP group. Strategies to address the growing burden of cardiometabolic diseases in urbanizing rural India should be assessed for their potential impact on social inequalities in health.
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spelling pubmed-44348562015-05-19 Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS) Gupta, Vipin Millett, Christopher Walia, Gagandeep Kaur Kinra, Sanjay Aggarwal, Aastha Prabhakaran, Poornima Bhogadi, Santhi Kumar, Aniket Gupta, Ruby Prabhakaran, D. Reddy, K. Srinath Smith, George Davey Ben-Shlomo, Yoav Krishna, K. V. Radha Ebrahim, Shah Z Gesundh Wiss Original Article 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 < 0.001; women: 20.9 vs. 12.0 %, P = 0.01), waist-hip ratio (men: 46.5 vs. 25.8 %, P = 0.003; women: 58.8 vs. 29.2 %, P = 0.04) and regular alcohol intake (61.7 vs. 32.5 %, P < 0.001; women: 25.7 vs. 3.8 %, P < 0.001) than educated participants. Unskilled participants had higher prevalence of regular alcohol intake (men: 57.7 vs. 38.7 %, P = 0.001; women: 28.3 vs. 7.3 %, P < 0.001). In contrast, participants with a higher standard of living index had higher prevalence of diabetes (top third vs. bottom third: men 5.2 vs. 3.5 %, P = 0.004; women 5.5 vs. 2.4 %, P = 0.003), hyperinsulinemia (men 29.5 vs. 16.3 %, P = 0.002; women 31.1 vs. 14.3 %, P < 0.001), obesity (men 23.3 vs. 10.6 %, P < 0.001; women 25.9 vs. 12.8 %, P < 0.001), and raised LDL (men 16.8 vs. 11.4 %, P = 0.001; women 21.3 vs. 14.0 %, P < 0.001). CONCLUSIONS: Cardiometabolic risk factors are common in rural India but do not show a consistent association with SEP except for higher prevalence of smoking and regular alcohol intake in lower SEP group. Strategies to address the growing burden of cardiometabolic diseases in urbanizing rural India should be assessed for their potential impact on social inequalities in health. Springer Berlin Heidelberg 2015-03-11 2015 /pmc/articles/PMC4434856/ /pubmed/26000232 http://dx.doi.org/10.1007/s10389-015-0662-y Text en © The Author(s) 2015 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Gupta, Vipin
Millett, Christopher
Walia, Gagandeep Kaur
Kinra, Sanjay
Aggarwal, Aastha
Prabhakaran, Poornima
Bhogadi, Santhi
Kumar, Aniket
Gupta, Ruby
Prabhakaran, D.
Reddy, K. Srinath
Smith, George Davey
Ben-Shlomo, Yoav
Krishna, K. V. Radha
Ebrahim, Shah
Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS)
title Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS)
title_full Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS)
title_fullStr Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS)
title_full_unstemmed Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS)
title_short Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS)
title_sort socio-economic patterning of cardiometabolic risk factors in rural and peri-urban india: andhra pradesh children and parents study (apcaps)
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4434856/
https://www.ncbi.nlm.nih.gov/pubmed/26000232
http://dx.doi.org/10.1007/s10389-015-0662-y
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