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Geographic epidemiology of cardiometabolic risk factors in middle class urban residents in India: cross–sectional study
OBJECTIVE: To determine epidemiology of cardiovascular risk factors according to geographic distribution and macrolevel social development index among urban middle class subjects in India. METHODS: We performed cross-sectional surveys in 11 cities in India during years 2005–2009. 6198 subjects aged...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Edinburgh University Global Health Society
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416330/ https://www.ncbi.nlm.nih.gov/pubmed/25969733 http://dx.doi.org/10.7189/jogh.05.010411 |
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author | Gupta, Rajeev Sharma, Krishna Kumar Gupta, Bal Kishan Gupta, Arvind Saboo, Banshi Maheshwari, Anuj Mahanta, Tulika Deedwania, Prakash C |
author_facet | Gupta, Rajeev Sharma, Krishna Kumar Gupta, Bal Kishan Gupta, Arvind Saboo, Banshi Maheshwari, Anuj Mahanta, Tulika Deedwania, Prakash C |
author_sort | Gupta, Rajeev |
collection | PubMed |
description | OBJECTIVE: To determine epidemiology of cardiovascular risk factors according to geographic distribution and macrolevel social development index among urban middle class subjects in India. METHODS: We performed cross-sectional surveys in 11 cities in India during years 2005–2009. 6198 subjects aged 20–75 years (men 3426, women 2772, response 62%) were evaluated for cardiovascular risk factors. Cities were grouped according to geographic distribution into northern (3 cities, n = 1321), western (2 cities, n = 1814), southern (3 cities, n = 1237) and eastern (3 cities, n = 1826). They were also grouped according to human social development index into low (3 cities, n = 1794), middle (5 cities, n = 2634) and high (3 cities, n = 1825). Standard definitions were used to determine risk factors. Differences in risk factors were evaluated using χ(2) test. Trends were examined by least squares regression. FINDINGS: Age–adjusted prevalence (95% confidence intervals) of various risk factors was: low physical activity 42.1% (40.9–43.3), high dietary fat 49.9% (47.8–52.0), low fruit/vegetables 26.9% (25.8–28.0), smoking 10.1% (9.1–11.1), smokeless tobacco use 9.8% (9.1–10.5), overweight 42.9% (41.7–44.1), obesity 11.6% (10.8–12.4), high waist circumference 45.5% (44.3–46.7), high waist–hip ratio 75.7% (74.7–76.8), hypertension 31.6% (30.4–32.8), hypercholesterolemia 25.0% (23.9–26.9), low HDL cholesterol 42.5% (41.3–43.7), hypertriglyceridemia 36.9% (35.7–38.1), diabetes 15.7% (14.8–16.6), and metabolic syndrome 35.7% (34.5–36.9). Compared with national average, prevalence of most risk factors was not significantly different in various geographic regions, however, cities in eastern region had significantly lower prevalence of overweight, hypertension, hypercholesterolemia, diabetes and metabolic syndrome compared with other regions (P < 0.05 for various comparisons). It was also observed that cities with low human social development index had lowest prevalence of these risk factors in both sexes (P < 0.05). CONCLUSIONS: Urban middle–class men and women in eastern region of India have significantly lower cardiometabolic risk factors compared to northern, western and southern regions. Low human social development index cities have lower risk factor prevalence. |
format | Online Article Text |
id | pubmed-4416330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Edinburgh University Global Health Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-44163302015-05-12 Geographic epidemiology of cardiometabolic risk factors in middle class urban residents in India: cross–sectional study Gupta, Rajeev Sharma, Krishna Kumar Gupta, Bal Kishan Gupta, Arvind Saboo, Banshi Maheshwari, Anuj Mahanta, Tulika Deedwania, Prakash C J Glob Health Articles OBJECTIVE: To determine epidemiology of cardiovascular risk factors according to geographic distribution and macrolevel social development index among urban middle class subjects in India. METHODS: We performed cross-sectional surveys in 11 cities in India during years 2005–2009. 6198 subjects aged 20–75 years (men 3426, women 2772, response 62%) were evaluated for cardiovascular risk factors. Cities were grouped according to geographic distribution into northern (3 cities, n = 1321), western (2 cities, n = 1814), southern (3 cities, n = 1237) and eastern (3 cities, n = 1826). They were also grouped according to human social development index into low (3 cities, n = 1794), middle (5 cities, n = 2634) and high (3 cities, n = 1825). Standard definitions were used to determine risk factors. Differences in risk factors were evaluated using χ(2) test. Trends were examined by least squares regression. FINDINGS: Age–adjusted prevalence (95% confidence intervals) of various risk factors was: low physical activity 42.1% (40.9–43.3), high dietary fat 49.9% (47.8–52.0), low fruit/vegetables 26.9% (25.8–28.0), smoking 10.1% (9.1–11.1), smokeless tobacco use 9.8% (9.1–10.5), overweight 42.9% (41.7–44.1), obesity 11.6% (10.8–12.4), high waist circumference 45.5% (44.3–46.7), high waist–hip ratio 75.7% (74.7–76.8), hypertension 31.6% (30.4–32.8), hypercholesterolemia 25.0% (23.9–26.9), low HDL cholesterol 42.5% (41.3–43.7), hypertriglyceridemia 36.9% (35.7–38.1), diabetes 15.7% (14.8–16.6), and metabolic syndrome 35.7% (34.5–36.9). Compared with national average, prevalence of most risk factors was not significantly different in various geographic regions, however, cities in eastern region had significantly lower prevalence of overweight, hypertension, hypercholesterolemia, diabetes and metabolic syndrome compared with other regions (P < 0.05 for various comparisons). It was also observed that cities with low human social development index had lowest prevalence of these risk factors in both sexes (P < 0.05). CONCLUSIONS: Urban middle–class men and women in eastern region of India have significantly lower cardiometabolic risk factors compared to northern, western and southern regions. Low human social development index cities have lower risk factor prevalence. Edinburgh University Global Health Society 2015-06 2015-04-19 /pmc/articles/PMC4416330/ /pubmed/25969733 http://dx.doi.org/10.7189/jogh.05.010411 Text en Copyright © 2015 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Gupta, Rajeev Sharma, Krishna Kumar Gupta, Bal Kishan Gupta, Arvind Saboo, Banshi Maheshwari, Anuj Mahanta, Tulika Deedwania, Prakash C Geographic epidemiology of cardiometabolic risk factors in middle class urban residents in India: cross–sectional study |
title | Geographic epidemiology of cardiometabolic risk factors in middle class urban residents in India: cross–sectional study |
title_full | Geographic epidemiology of cardiometabolic risk factors in middle class urban residents in India: cross–sectional study |
title_fullStr | Geographic epidemiology of cardiometabolic risk factors in middle class urban residents in India: cross–sectional study |
title_full_unstemmed | Geographic epidemiology of cardiometabolic risk factors in middle class urban residents in India: cross–sectional study |
title_short | Geographic epidemiology of cardiometabolic risk factors in middle class urban residents in India: cross–sectional study |
title_sort | geographic epidemiology of cardiometabolic risk factors in middle class urban residents in india: cross–sectional study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416330/ https://www.ncbi.nlm.nih.gov/pubmed/25969733 http://dx.doi.org/10.7189/jogh.05.010411 |
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