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Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi
This study investigates the wellbeing factors related to self-rated health for older adults in Abu Dhabi (≥55 years). The purpose is to provide a comprehensive analysis of the determinants of self-rated health, considering various wellbeing factors, controlling for factors such as gender, nationalit...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345788/ https://www.ncbi.nlm.nih.gov/pubmed/34360297 http://dx.doi.org/10.3390/ijerph18158006 |
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author | Badri, Masood A. Yang, Guang Al Khaili, Mugheer Al Bahar, Muna Al Rashdi, Asma Al Hyas, Layla |
author_facet | Badri, Masood A. Yang, Guang Al Khaili, Mugheer Al Bahar, Muna Al Rashdi, Asma Al Hyas, Layla |
author_sort | Badri, Masood A. |
collection | PubMed |
description | This study investigates the wellbeing factors related to self-rated health for older adults in Abu Dhabi (≥55 years). The purpose is to provide a comprehensive analysis of the determinants of self-rated health, considering various wellbeing factors, controlling for factors such as gender, nationality and long-standing illness if present. This research drew from a sample of 2375 older adults who participated in the Abu Dhabi Quality-of-Life Survey (QoL) conducted in 2018. Hierarchical multiple regression analysis was employed where the first two models corresponded to gender, nationality and having a long-standing illness or not. The third model focused on the wellbeing factors of Abu Dhabi citizens (i.e., social networks and connection, income and housing, sports and activities, mental feelings). The analysis revealed the insignificance of gender and nationality as controlled variables while having a long-standing illness showed significant adverse effects. The most significant variables were social support networks, family and social arrangements and connections. Other variables of significance included housing satisfaction, household income satisfaction, frequency of practicing sports, current mental status and life satisfaction. Policymakers could use the outcomes as insider intelligence for policymakers and social work professionals to create policies, programs and services to enhance the lives of older people in Abu Dhabi. |
format | Online Article Text |
id | pubmed-8345788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83457882021-08-07 Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi Badri, Masood A. Yang, Guang Al Khaili, Mugheer Al Bahar, Muna Al Rashdi, Asma Al Hyas, Layla Int J Environ Res Public Health Article This study investigates the wellbeing factors related to self-rated health for older adults in Abu Dhabi (≥55 years). The purpose is to provide a comprehensive analysis of the determinants of self-rated health, considering various wellbeing factors, controlling for factors such as gender, nationality and long-standing illness if present. This research drew from a sample of 2375 older adults who participated in the Abu Dhabi Quality-of-Life Survey (QoL) conducted in 2018. Hierarchical multiple regression analysis was employed where the first two models corresponded to gender, nationality and having a long-standing illness or not. The third model focused on the wellbeing factors of Abu Dhabi citizens (i.e., social networks and connection, income and housing, sports and activities, mental feelings). The analysis revealed the insignificance of gender and nationality as controlled variables while having a long-standing illness showed significant adverse effects. The most significant variables were social support networks, family and social arrangements and connections. Other variables of significance included housing satisfaction, household income satisfaction, frequency of practicing sports, current mental status and life satisfaction. Policymakers could use the outcomes as insider intelligence for policymakers and social work professionals to create policies, programs and services to enhance the lives of older people in Abu Dhabi. MDPI 2021-07-28 /pmc/articles/PMC8345788/ /pubmed/34360297 http://dx.doi.org/10.3390/ijerph18158006 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Badri, Masood A. Yang, Guang Al Khaili, Mugheer Al Bahar, Muna Al Rashdi, Asma Al Hyas, Layla Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi |
title | Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi |
title_full | Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi |
title_fullStr | Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi |
title_full_unstemmed | Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi |
title_short | Hierarchical Regression of Wellbeing and Self-Rated Health among Older Adults in Abu Dhabi |
title_sort | hierarchical regression of wellbeing and self-rated health among older adults in abu dhabi |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345788/ https://www.ncbi.nlm.nih.gov/pubmed/34360297 http://dx.doi.org/10.3390/ijerph18158006 |
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