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Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey
BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality in India. Social and behavioural factors are strongly interrelated in the prevention and control of CVD. The ability to make lifestyle changes to control hypertension and diabetes (major risk factors for CVD) is determined by...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346640/ https://www.ncbi.nlm.nih.gov/pubmed/32641078 http://dx.doi.org/10.1186/s12872-020-01595-x |
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author | Madavanakadu Devassy, Saju Webber, Martin Scaria, Lorane Amuthavalli Thiyagarajan, Jotheeswaran Fendt-Newlin, Meredith Joubert, Jacques Benny, Anuja Maria Nannatt, Anjana Joubert, Lynette |
author_facet | Madavanakadu Devassy, Saju Webber, Martin Scaria, Lorane Amuthavalli Thiyagarajan, Jotheeswaran Fendt-Newlin, Meredith Joubert, Jacques Benny, Anuja Maria Nannatt, Anjana Joubert, Lynette |
author_sort | Madavanakadu Devassy, Saju |
collection | PubMed |
description | BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality in India. Social and behavioural factors are strongly interrelated in the prevention and control of CVD. The ability to make lifestyle changes to control hypertension and diabetes (major risk factors for CVD) is determined by factors such as education, gender, caste, poverty, and urbanicity. This study aimed to improve our understanding of the inter-relationship of social and behavioural factors in the management of elevated serum glucose and high blood pressure and co-morbid mental health conditions. METHODS: A population-based catchment area cross sectional survey was conducted in Kerala, India. Data were collected from residents aged over 30 years (n = 997) using standardized tools and clinical measures. We performed latent class analysis incrementally to extract homogeneous latent classes of individuals based on their responses to social and behavioural risk factors in the survey. Using structural equation models, we assessed the mediating effect of depression and anxiety, and social or behavioural risk factors, on management of high blood pressure and raised serum glucose levels. RESULTS: The prevalence of high blood pressure and blood glucose in the sample was 33 and 26% respectively. Latent class analysis found three clusters of risk factors. One had a predominance of behavioural characteristics, another of social risk factors and the third was a low risk group. Age, female sex, and marital status had an effect on high blood pressure and high glucose, though were mediated by mental health, social and behavioural risk factors. CONCLUSIONS: Interventions to improve the management of risk factors for CVD need to address social risk factors and be sensitive to the needs of population sub-groups that may require additional support to access health services. An integration of social and health services may be required to achieve this. |
format | Online Article Text |
id | pubmed-7346640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73466402020-07-14 Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey Madavanakadu Devassy, Saju Webber, Martin Scaria, Lorane Amuthavalli Thiyagarajan, Jotheeswaran Fendt-Newlin, Meredith Joubert, Jacques Benny, Anuja Maria Nannatt, Anjana Joubert, Lynette BMC Cardiovasc Disord Research Article BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality in India. Social and behavioural factors are strongly interrelated in the prevention and control of CVD. The ability to make lifestyle changes to control hypertension and diabetes (major risk factors for CVD) is determined by factors such as education, gender, caste, poverty, and urbanicity. This study aimed to improve our understanding of the inter-relationship of social and behavioural factors in the management of elevated serum glucose and high blood pressure and co-morbid mental health conditions. METHODS: A population-based catchment area cross sectional survey was conducted in Kerala, India. Data were collected from residents aged over 30 years (n = 997) using standardized tools and clinical measures. We performed latent class analysis incrementally to extract homogeneous latent classes of individuals based on their responses to social and behavioural risk factors in the survey. Using structural equation models, we assessed the mediating effect of depression and anxiety, and social or behavioural risk factors, on management of high blood pressure and raised serum glucose levels. RESULTS: The prevalence of high blood pressure and blood glucose in the sample was 33 and 26% respectively. Latent class analysis found three clusters of risk factors. One had a predominance of behavioural characteristics, another of social risk factors and the third was a low risk group. Age, female sex, and marital status had an effect on high blood pressure and high glucose, though were mediated by mental health, social and behavioural risk factors. CONCLUSIONS: Interventions to improve the management of risk factors for CVD need to address social risk factors and be sensitive to the needs of population sub-groups that may require additional support to access health services. An integration of social and health services may be required to achieve this. BioMed Central 2020-07-08 /pmc/articles/PMC7346640/ /pubmed/32641078 http://dx.doi.org/10.1186/s12872-020-01595-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Madavanakadu Devassy, Saju Webber, Martin Scaria, Lorane Amuthavalli Thiyagarajan, Jotheeswaran Fendt-Newlin, Meredith Joubert, Jacques Benny, Anuja Maria Nannatt, Anjana Joubert, Lynette Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey |
title | Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey |
title_full | Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey |
title_fullStr | Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey |
title_full_unstemmed | Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey |
title_short | Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey |
title_sort | social and behavioural risk factors in the prevention and management of cardiovascular disease in kerala, india: a catchment area population survey |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346640/ https://www.ncbi.nlm.nih.gov/pubmed/32641078 http://dx.doi.org/10.1186/s12872-020-01595-x |
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