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Correlation between functional disability and quality of life among rural elderly in Anhui province, China: a cross-sectional study

OBJECTIVE: We aimed to explore the correlation between functional disability and quality of life (QoL). And exploring the interaction of functional disability, basic demographic characteristics and health-related information on QoL among the rural elderly in Anhui Province. METHODS: This study used...

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Autores principales: Zhang, Min, Zhu, Weizheng, He, Xinran, Liu, Yuyang, Sun, Qian, Ding, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881859/
https://www.ncbi.nlm.nih.gov/pubmed/35216578
http://dx.doi.org/10.1186/s12889-021-12363-7
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author Zhang, Min
Zhu, Weizheng
He, Xinran
Liu, Yuyang
Sun, Qian
Ding, Hong
author_facet Zhang, Min
Zhu, Weizheng
He, Xinran
Liu, Yuyang
Sun, Qian
Ding, Hong
author_sort Zhang, Min
collection PubMed
description OBJECTIVE: We aimed to explore the correlation between functional disability and quality of life (QoL). And exploring the interaction of functional disability, basic demographic characteristics and health-related information on QoL among the rural elderly in Anhui Province. METHODS: This study used multi-stage stratified cluster sampling in rural Anhui Province from January to July 2018 to conduct a cross-sectional survey of older adults who met the inclusion criteria. The Five-Dimensional European Quality Of Health Scale (EQ-5D) and the WHO Disability Assessment Schedule (WHODAS2.0) scale were used to evaluate the QoL and functional disability, and the basic demographic characteristics of the survey subjects were also collected. Using binary logistic and Classification and regression tree model (CART) models to analyze the data, explore the relationship between functional disability and QoL in the elderly. RESULTS: A total of 3491 older adults were included in the survey, and 3336 completed the entire survey, with an effective response rate of 95.56%. After adjusting for covariables, those who had limited in dimension of mobility (AOR=2.243, 95%CI: 1.743-2.885), getting along (AOR=1.615, 95%CI: 1.173-2.226), life activities (AOR=2.494, 95%CI:1.928-3.226), and social participation (AOR=2.218, 95%CI: 1.656-2.971) had a lower QoL. However, the dimension of cognition (AOR=0.477, 95%CI: 0.372-0.613) is a protective factor for QoL. Additionally, we also observe that 96.3% of those who were unemployed and limited in both mobility and life activities dimensions had a lower QoL, but among those who were robust in both mobility and social participation dimensions and not suffer from chronic diseases, 56.3% had a higher QoL. CONCLUSIONS: Our findings indicate that special attention should be paid to the elderly who are unemployed, have limited in cognition, getting along, social participation, mobility, life activities and cognition robust to improve their QoL. This research is of great significance for formulating targeted strategies and measures to improve the QoL for rural elderly. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12363-7.
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spelling pubmed-88818592022-02-28 Correlation between functional disability and quality of life among rural elderly in Anhui province, China: a cross-sectional study Zhang, Min Zhu, Weizheng He, Xinran Liu, Yuyang Sun, Qian Ding, Hong BMC Public Health Research OBJECTIVE: We aimed to explore the correlation between functional disability and quality of life (QoL). And exploring the interaction of functional disability, basic demographic characteristics and health-related information on QoL among the rural elderly in Anhui Province. METHODS: This study used multi-stage stratified cluster sampling in rural Anhui Province from January to July 2018 to conduct a cross-sectional survey of older adults who met the inclusion criteria. The Five-Dimensional European Quality Of Health Scale (EQ-5D) and the WHO Disability Assessment Schedule (WHODAS2.0) scale were used to evaluate the QoL and functional disability, and the basic demographic characteristics of the survey subjects were also collected. Using binary logistic and Classification and regression tree model (CART) models to analyze the data, explore the relationship between functional disability and QoL in the elderly. RESULTS: A total of 3491 older adults were included in the survey, and 3336 completed the entire survey, with an effective response rate of 95.56%. After adjusting for covariables, those who had limited in dimension of mobility (AOR=2.243, 95%CI: 1.743-2.885), getting along (AOR=1.615, 95%CI: 1.173-2.226), life activities (AOR=2.494, 95%CI:1.928-3.226), and social participation (AOR=2.218, 95%CI: 1.656-2.971) had a lower QoL. However, the dimension of cognition (AOR=0.477, 95%CI: 0.372-0.613) is a protective factor for QoL. Additionally, we also observe that 96.3% of those who were unemployed and limited in both mobility and life activities dimensions had a lower QoL, but among those who were robust in both mobility and social participation dimensions and not suffer from chronic diseases, 56.3% had a higher QoL. CONCLUSIONS: Our findings indicate that special attention should be paid to the elderly who are unemployed, have limited in cognition, getting along, social participation, mobility, life activities and cognition robust to improve their QoL. This research is of great significance for formulating targeted strategies and measures to improve the QoL for rural elderly. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12363-7. BioMed Central 2022-02-25 /pmc/articles/PMC8881859/ /pubmed/35216578 http://dx.doi.org/10.1186/s12889-021-12363-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (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
Zhang, Min
Zhu, Weizheng
He, Xinran
Liu, Yuyang
Sun, Qian
Ding, Hong
Correlation between functional disability and quality of life among rural elderly in Anhui province, China: a cross-sectional study
title Correlation between functional disability and quality of life among rural elderly in Anhui province, China: a cross-sectional study
title_full Correlation between functional disability and quality of life among rural elderly in Anhui province, China: a cross-sectional study
title_fullStr Correlation between functional disability and quality of life among rural elderly in Anhui province, China: a cross-sectional study
title_full_unstemmed Correlation between functional disability and quality of life among rural elderly in Anhui province, China: a cross-sectional study
title_short Correlation between functional disability and quality of life among rural elderly in Anhui province, China: a cross-sectional study
title_sort correlation between functional disability and quality of life among rural elderly in anhui province, china: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881859/
https://www.ncbi.nlm.nih.gov/pubmed/35216578
http://dx.doi.org/10.1186/s12889-021-12363-7
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