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Risky health behaviours and chronic conditions among aged persons: analysis of SAGE selected countries

BACKGROUND: Increasing trends in risky health behaviours contribute to chronic health problems among the rapidly growing ageing population. Therefore, we examined the association between risky health behaviours and chronic health conditions among persons 50 years and older. METHODS: This study was a...

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Autores principales: Oduro, Joseph Kojo, Okyere, Joshua, Nyador, Jonas Kwame Mawuli Tawiah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021928/
https://www.ncbi.nlm.nih.gov/pubmed/36932319
http://dx.doi.org/10.1186/s12877-023-03836-y
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author Oduro, Joseph Kojo
Okyere, Joshua
Nyador, Jonas Kwame Mawuli Tawiah
author_facet Oduro, Joseph Kojo
Okyere, Joshua
Nyador, Jonas Kwame Mawuli Tawiah
author_sort Oduro, Joseph Kojo
collection PubMed
description BACKGROUND: Increasing trends in risky health behaviours contribute to chronic health problems among the rapidly growing ageing population. Therefore, we examined the association between risky health behaviours and chronic health conditions among persons 50 years and older. METHODS: This study was a secondary analysis of longitudinal survey data from the 2007 Study on Global Ageing and Adult Health (SAGE Wave 1) conducted by the World Health Organization. Multilevel logistic regression techniques were used to examine high social cohesion among the aged. The output was reported as odds ratios (OR) and adjusted odds ratios (aOR). RESULTS: Generally, the level of chronic conditions was 81.5% for all countries. Older adults in Ghana had the highest chronic conditions (94.0%) while the Russian Federation recorded the lowest (58.6%). The risk of chronic conditions was higher among the oldest-old (OR = 1.70, 95% CI = 1.29, 2.25), those who smoke tobacco (OR = 1.13, 95% CI = 1.01, 1.25) or drink alcohol (OR = 1.17, 95% CI = 1.06,1.29), and among those who live in rural areas (OR = 1.31, 95% CI = 1.16, 1.49). However, the odds were lower among females (OR = 0.88, 95% CI = 0.69,0.85), and those who were not working (OR = 0.52, 95% CI = 0.47, 0.58). CONCLUSION: We conclude that it is important to improve the health status of older people. To achieve this, there must be interventions and policies to facilitate the adoption of healthy or physically active lifestyles among older people. This could be achieved by strengthening advocacy and health education about the dangers of living a sedentary lifestyle, consuming alcohol and tobacco. Whatever behavioural change interventions, advocacy and health education must target high-risk sub-populations including the oldest-old, and those with low economic status. Given the regional disparities identified, it is necessary to prioritise older people residing in rural areas. The study underscores a need to provide more primary healthcare facilities in the rural areas of the countries included in this study. Such an initiative is likely to increase accessibility to healthcare services and information that would impact positively on the lifestyle behaviours of older people.
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spelling pubmed-100219282023-03-18 Risky health behaviours and chronic conditions among aged persons: analysis of SAGE selected countries Oduro, Joseph Kojo Okyere, Joshua Nyador, Jonas Kwame Mawuli Tawiah BMC Geriatr Research BACKGROUND: Increasing trends in risky health behaviours contribute to chronic health problems among the rapidly growing ageing population. Therefore, we examined the association between risky health behaviours and chronic health conditions among persons 50 years and older. METHODS: This study was a secondary analysis of longitudinal survey data from the 2007 Study on Global Ageing and Adult Health (SAGE Wave 1) conducted by the World Health Organization. Multilevel logistic regression techniques were used to examine high social cohesion among the aged. The output was reported as odds ratios (OR) and adjusted odds ratios (aOR). RESULTS: Generally, the level of chronic conditions was 81.5% for all countries. Older adults in Ghana had the highest chronic conditions (94.0%) while the Russian Federation recorded the lowest (58.6%). The risk of chronic conditions was higher among the oldest-old (OR = 1.70, 95% CI = 1.29, 2.25), those who smoke tobacco (OR = 1.13, 95% CI = 1.01, 1.25) or drink alcohol (OR = 1.17, 95% CI = 1.06,1.29), and among those who live in rural areas (OR = 1.31, 95% CI = 1.16, 1.49). However, the odds were lower among females (OR = 0.88, 95% CI = 0.69,0.85), and those who were not working (OR = 0.52, 95% CI = 0.47, 0.58). CONCLUSION: We conclude that it is important to improve the health status of older people. To achieve this, there must be interventions and policies to facilitate the adoption of healthy or physically active lifestyles among older people. This could be achieved by strengthening advocacy and health education about the dangers of living a sedentary lifestyle, consuming alcohol and tobacco. Whatever behavioural change interventions, advocacy and health education must target high-risk sub-populations including the oldest-old, and those with low economic status. Given the regional disparities identified, it is necessary to prioritise older people residing in rural areas. The study underscores a need to provide more primary healthcare facilities in the rural areas of the countries included in this study. Such an initiative is likely to increase accessibility to healthcare services and information that would impact positively on the lifestyle behaviours of older people. BioMed Central 2023-03-17 /pmc/articles/PMC10021928/ /pubmed/36932319 http://dx.doi.org/10.1186/s12877-023-03836-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Oduro, Joseph Kojo
Okyere, Joshua
Nyador, Jonas Kwame Mawuli Tawiah
Risky health behaviours and chronic conditions among aged persons: analysis of SAGE selected countries
title Risky health behaviours and chronic conditions among aged persons: analysis of SAGE selected countries
title_full Risky health behaviours and chronic conditions among aged persons: analysis of SAGE selected countries
title_fullStr Risky health behaviours and chronic conditions among aged persons: analysis of SAGE selected countries
title_full_unstemmed Risky health behaviours and chronic conditions among aged persons: analysis of SAGE selected countries
title_short Risky health behaviours and chronic conditions among aged persons: analysis of SAGE selected countries
title_sort risky health behaviours and chronic conditions among aged persons: analysis of sage selected countries
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021928/
https://www.ncbi.nlm.nih.gov/pubmed/36932319
http://dx.doi.org/10.1186/s12877-023-03836-y
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