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Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults
BACKGROUND: Markers of ideal cardiovascular health (CVH) predict cardiovascular events. We estimated the prevalence of ideal CVH markers in two levels of cities and villages in India. METHODS: We did pooled analysis of individual-level data from three cross sectional surveys of adults ≥ 30 years ove...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ubiquity Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354560/ https://www.ncbi.nlm.nih.gov/pubmed/36051326 http://dx.doi.org/10.5334/gh.1137 |
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author | Shivashankar, Roopa Singh, Kalpana Kondal, Dimple Gupta, Ruby Perel, Pablo Kapoor, Deksha Jindal, Devraj Mohan, Sailesh Pradeepa, Rajendra Jarhyan, Prashant Srinivasapura Venkateshmurthy, Nikhil Tandon, Nikhil Mohan, Viswanathan Venkat Narayan, K. M. Prabhakaran, Dorairaj Ali, Mohammed K. |
author_facet | Shivashankar, Roopa Singh, Kalpana Kondal, Dimple Gupta, Ruby Perel, Pablo Kapoor, Deksha Jindal, Devraj Mohan, Sailesh Pradeepa, Rajendra Jarhyan, Prashant Srinivasapura Venkateshmurthy, Nikhil Tandon, Nikhil Mohan, Viswanathan Venkat Narayan, K. M. Prabhakaran, Dorairaj Ali, Mohammed K. |
author_sort | Shivashankar, Roopa |
collection | PubMed |
description | BACKGROUND: Markers of ideal cardiovascular health (CVH) predict cardiovascular events. We estimated the prevalence of ideal CVH markers in two levels of cities and villages in India. METHODS: We did pooled analysis of individual-level data from three cross sectional surveys of adults ≥ 30 years over 2010–14 (CARRS: Centre for cArdiometabolic Risk Reduction in South Asia; UDAY and Solan Surveillance Study) representing metropolitan cities; smaller cities and rural areas in diverse locations of India. We defined ideal CVH using modified American Heart Association recommendations: not smoking, ≥ 5 servings of fruits and vegetables (F&V), high physical activity (PA), body mass index (BMI) <25 Kg/m(2), blood pressure (BP) <120/80 mm Hg, fasting plasma glucose (FPG) <100 mg/dl, and total cholesterol (TC) <200 mg/dL. We estimated (1) age-and sex-standardized prevalence of ideal CVH and (2) prevalence of good (≥6 markers), moderate (4–5), and poor CVH (≤3) adjusted for age, sex, education, and stratified by setting and asset tertiles. RESULTS: Of the total 22,144 participants, the prevalence of ideal CVH markers were: not smoking (76.7% [95% CI 76.1, 77.2]), consumed ≥5 F&V (4.2% [3.9, 4.5]), high PA (67.5% [66.8, 68.2]), optimum BMI (59.6% [58.9, 60.3]), ideal BP (34.5% [33.9, 35.2]), FPG (65.8% [65.1, 66.5]) and TC (65.4% [64.7, 66.1]). The mean number of ideal CVH metrics was 3.7(95% CI: 3.7, 3.8). Adjusted prevalence of good, moderate, and poor CVH, varied across settings: metropolitan (3.9%, 41.0%, and 55.1%), smaller cities (7.8%, 49.2%, and 43%), and rural (10.4%, 60.9%, and 28.7%) and across asset tertiles: Low (11.0%, 55.9%, 33.1%), Middle (6.3%, 52.2%, 41.5%), and High (5.0%, 46.4%, 48.7%), respectively. CONCLUSION: Achievement of ideal CVH varied, with higher prevalence in rural and lower asset tertiles. Multi-sectoral and targeted policy and program actions are needed to improve CVH in diverse contexts in India. |
format | Online Article Text |
id | pubmed-9354560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Ubiquity Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-93545602022-08-31 Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults Shivashankar, Roopa Singh, Kalpana Kondal, Dimple Gupta, Ruby Perel, Pablo Kapoor, Deksha Jindal, Devraj Mohan, Sailesh Pradeepa, Rajendra Jarhyan, Prashant Srinivasapura Venkateshmurthy, Nikhil Tandon, Nikhil Mohan, Viswanathan Venkat Narayan, K. M. Prabhakaran, Dorairaj Ali, Mohammed K. Glob Heart Original Research BACKGROUND: Markers of ideal cardiovascular health (CVH) predict cardiovascular events. We estimated the prevalence of ideal CVH markers in two levels of cities and villages in India. METHODS: We did pooled analysis of individual-level data from three cross sectional surveys of adults ≥ 30 years over 2010–14 (CARRS: Centre for cArdiometabolic Risk Reduction in South Asia; UDAY and Solan Surveillance Study) representing metropolitan cities; smaller cities and rural areas in diverse locations of India. We defined ideal CVH using modified American Heart Association recommendations: not smoking, ≥ 5 servings of fruits and vegetables (F&V), high physical activity (PA), body mass index (BMI) <25 Kg/m(2), blood pressure (BP) <120/80 mm Hg, fasting plasma glucose (FPG) <100 mg/dl, and total cholesterol (TC) <200 mg/dL. We estimated (1) age-and sex-standardized prevalence of ideal CVH and (2) prevalence of good (≥6 markers), moderate (4–5), and poor CVH (≤3) adjusted for age, sex, education, and stratified by setting and asset tertiles. RESULTS: Of the total 22,144 participants, the prevalence of ideal CVH markers were: not smoking (76.7% [95% CI 76.1, 77.2]), consumed ≥5 F&V (4.2% [3.9, 4.5]), high PA (67.5% [66.8, 68.2]), optimum BMI (59.6% [58.9, 60.3]), ideal BP (34.5% [33.9, 35.2]), FPG (65.8% [65.1, 66.5]) and TC (65.4% [64.7, 66.1]). The mean number of ideal CVH metrics was 3.7(95% CI: 3.7, 3.8). Adjusted prevalence of good, moderate, and poor CVH, varied across settings: metropolitan (3.9%, 41.0%, and 55.1%), smaller cities (7.8%, 49.2%, and 43%), and rural (10.4%, 60.9%, and 28.7%) and across asset tertiles: Low (11.0%, 55.9%, 33.1%), Middle (6.3%, 52.2%, 41.5%), and High (5.0%, 46.4%, 48.7%), respectively. CONCLUSION: Achievement of ideal CVH varied, with higher prevalence in rural and lower asset tertiles. Multi-sectoral and targeted policy and program actions are needed to improve CVH in diverse contexts in India. Ubiquity Press 2022-08-02 /pmc/articles/PMC9354560/ /pubmed/36051326 http://dx.doi.org/10.5334/gh.1137 Text en Copyright: © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Shivashankar, Roopa Singh, Kalpana Kondal, Dimple Gupta, Ruby Perel, Pablo Kapoor, Deksha Jindal, Devraj Mohan, Sailesh Pradeepa, Rajendra Jarhyan, Prashant Srinivasapura Venkateshmurthy, Nikhil Tandon, Nikhil Mohan, Viswanathan Venkat Narayan, K. M. Prabhakaran, Dorairaj Ali, Mohammed K. Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults |
title | Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults |
title_full | Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults |
title_fullStr | Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults |
title_full_unstemmed | Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults |
title_short | Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults |
title_sort | cardiovascular health in india – a report card from three urban and rural surveys of 22,144 adults |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354560/ https://www.ncbi.nlm.nih.gov/pubmed/36051326 http://dx.doi.org/10.5334/gh.1137 |
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