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Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China
Objectives: This study aims to understand the disability status of the elderly residents of a County (Guangxi Province, China) and explore its influencing factors. Methods: Respondents consisted of 2300 elderly people aged 60 and above from three townships in the county we studied. The Activities of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163965/ https://www.ncbi.nlm.nih.gov/pubmed/30205622 http://dx.doi.org/10.3390/ijerph15091967 |
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author | Chen, Shiyi Qin, Jian Li, You Wei, Yi Long, Bingshuang Cai, Jiansheng Tang, Jiexia Xu, Xia Yu, Guoqi Zhang, Zhiyong |
author_facet | Chen, Shiyi Qin, Jian Li, You Wei, Yi Long, Bingshuang Cai, Jiansheng Tang, Jiexia Xu, Xia Yu, Guoqi Zhang, Zhiyong |
author_sort | Chen, Shiyi |
collection | PubMed |
description | Objectives: This study aims to understand the disability status of the elderly residents of a County (Guangxi Province, China) and explore its influencing factors. Methods: Respondents consisted of 2300 elderly people aged 60 and above from three townships in the county we studied. The Activities of Daily Living (ADL) Scale was used to assess the disability of the elderly sample. Chi-square test was applied to compare the disability rate among the elderly with different demographic characteristics. The graph showed the disability rates of ADL, six items of Physical Activities of Daily Living (PADL) and eight items of Instrumental Activities of Daily Living (IADL) at different ages. Binary logistic regression was used to analyze the influencing factors of disability rate among the elderly. Results: The disability rates of ADL, PADL, and IADL in the elderly were 43.4%, 11.6%, and 42.4%, respectively. As with the increase in age, the disability rates of ADL, IADL, PADL, and their 14 items gradually increased (p < 0.05), with walking, using the telephone, and using public vehicles having higher disability rates than other items. The influencing factors of ADL disability were gender (OR = 0.579, 95%CI = 0.441–0.759), age (OR = 2.270, 95%CI = 1.867–2.759; OR = 4.719, 95%CI = 2.998–7.429; OR = 6.249, 95%CI = 3.667–10.648), educational level (OR = 2.844, 95%CI = 2.076–3.897; OR = 1.677, 95%CI = 1.246–2.230), and having metabolic syndrome (MetS) (OR = 1.298, 95%CI = 1.044–1.613). Compared with ADL, the influencing factor of PADL disability was gender, whereas that of IADL disability was whether someone had MetS. Conclusions: With age, the possibility of ADL, PADL, and IADL damage in the elderly is higher. Gender, age, educational level, the number of chronic diseases, and whether someone has MetS might be the influencing factors of disability. Interventions should be taken from a variety of sources specific to the content of each entry. |
format | Online Article Text |
id | pubmed-6163965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61639652018-10-12 Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China Chen, Shiyi Qin, Jian Li, You Wei, Yi Long, Bingshuang Cai, Jiansheng Tang, Jiexia Xu, Xia Yu, Guoqi Zhang, Zhiyong Int J Environ Res Public Health Article Objectives: This study aims to understand the disability status of the elderly residents of a County (Guangxi Province, China) and explore its influencing factors. Methods: Respondents consisted of 2300 elderly people aged 60 and above from three townships in the county we studied. The Activities of Daily Living (ADL) Scale was used to assess the disability of the elderly sample. Chi-square test was applied to compare the disability rate among the elderly with different demographic characteristics. The graph showed the disability rates of ADL, six items of Physical Activities of Daily Living (PADL) and eight items of Instrumental Activities of Daily Living (IADL) at different ages. Binary logistic regression was used to analyze the influencing factors of disability rate among the elderly. Results: The disability rates of ADL, PADL, and IADL in the elderly were 43.4%, 11.6%, and 42.4%, respectively. As with the increase in age, the disability rates of ADL, IADL, PADL, and their 14 items gradually increased (p < 0.05), with walking, using the telephone, and using public vehicles having higher disability rates than other items. The influencing factors of ADL disability were gender (OR = 0.579, 95%CI = 0.441–0.759), age (OR = 2.270, 95%CI = 1.867–2.759; OR = 4.719, 95%CI = 2.998–7.429; OR = 6.249, 95%CI = 3.667–10.648), educational level (OR = 2.844, 95%CI = 2.076–3.897; OR = 1.677, 95%CI = 1.246–2.230), and having metabolic syndrome (MetS) (OR = 1.298, 95%CI = 1.044–1.613). Compared with ADL, the influencing factor of PADL disability was gender, whereas that of IADL disability was whether someone had MetS. Conclusions: With age, the possibility of ADL, PADL, and IADL damage in the elderly is higher. Gender, age, educational level, the number of chronic diseases, and whether someone has MetS might be the influencing factors of disability. Interventions should be taken from a variety of sources specific to the content of each entry. MDPI 2018-09-09 2018-09 /pmc/articles/PMC6163965/ /pubmed/30205622 http://dx.doi.org/10.3390/ijerph15091967 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Shiyi Qin, Jian Li, You Wei, Yi Long, Bingshuang Cai, Jiansheng Tang, Jiexia Xu, Xia Yu, Guoqi Zhang, Zhiyong Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China |
title | Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China |
title_full | Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China |
title_fullStr | Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China |
title_full_unstemmed | Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China |
title_short | Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China |
title_sort | disability and its influencing factors among the elderly in a county, guangxi province, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163965/ https://www.ncbi.nlm.nih.gov/pubmed/30205622 http://dx.doi.org/10.3390/ijerph15091967 |
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