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The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis
INTRODUCTION: The study explored the relationship between subjective well-being and the quality of life among older adults. It highlights the importance of understanding how these factors are interconnected in the context of an aging population. METHODS: Descriptive statistics were used to analyze t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548456/ https://www.ncbi.nlm.nih.gov/pubmed/37799159 http://dx.doi.org/10.3389/fpubh.2023.1235276 |
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author | Liu, Huanting Gan, Qihui Tan, Jianfeng Sun, Xiaoyuan Liu, Yuxi Wan, Chonghua |
author_facet | Liu, Huanting Gan, Qihui Tan, Jianfeng Sun, Xiaoyuan Liu, Yuxi Wan, Chonghua |
author_sort | Liu, Huanting |
collection | PubMed |
description | INTRODUCTION: The study explored the relationship between subjective well-being and the quality of life among older adults. It highlights the importance of understanding how these factors are interconnected in the context of an aging population. METHODS: Descriptive statistics were used to analyze the scores of general demographic characteristics, subjective wellbeing and quality of life. Simple correlation analysis and canonical correlation analysis were employed to analyze the relationship between subjective wellbeing and quality of life among older adults. RESULTS: Data from 892 older adults were collected. Canonical correlation analysis revealed four pairs of canonical variables, with the first four pairs of canonical correlation coefficients all being statistically significant (0.695, 0.179, 0.147, 0.121) (p < 0.05), and the first pair of canonical variables explaining 93.03% of the information content. From the canonical loading coefficients, Vitality and mental health contributed the most to the quality of life (U1) canonical variable. The canonical variable V1, which corresponded to subjective wellbeing, was reflected by a combination of positive affect, negative affect, positive experience and negative experience. X1 (physical functioning), X2 (role-physical), X3 (bodily pain), X4 (general health), X5 (vitality), X6 (social functioning), X7 (role-emotional) and X8 (mental health) were positively correlated with Y1 (positive affect) and Y3 (positive experience), negatively correlated with Y2 (negative affect) and Y4 (negative experience). Cross-loadings revealed that physical functioning, bodily pain, general health, vitality, social functioning and mental health were the main factors reflecting the subjective wellbeing of older adults. DISCUSSION: As quality of life among older adults was highly correlated with subjective wellbeing, appropriate measures should be taken to account for individual characteristics of older adults, and various factors should be integrated to improve their subjective wellbeing. |
format | Online Article Text |
id | pubmed-10548456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105484562023-10-05 The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis Liu, Huanting Gan, Qihui Tan, Jianfeng Sun, Xiaoyuan Liu, Yuxi Wan, Chonghua Front Public Health Public Health INTRODUCTION: The study explored the relationship between subjective well-being and the quality of life among older adults. It highlights the importance of understanding how these factors are interconnected in the context of an aging population. METHODS: Descriptive statistics were used to analyze the scores of general demographic characteristics, subjective wellbeing and quality of life. Simple correlation analysis and canonical correlation analysis were employed to analyze the relationship between subjective wellbeing and quality of life among older adults. RESULTS: Data from 892 older adults were collected. Canonical correlation analysis revealed four pairs of canonical variables, with the first four pairs of canonical correlation coefficients all being statistically significant (0.695, 0.179, 0.147, 0.121) (p < 0.05), and the first pair of canonical variables explaining 93.03% of the information content. From the canonical loading coefficients, Vitality and mental health contributed the most to the quality of life (U1) canonical variable. The canonical variable V1, which corresponded to subjective wellbeing, was reflected by a combination of positive affect, negative affect, positive experience and negative experience. X1 (physical functioning), X2 (role-physical), X3 (bodily pain), X4 (general health), X5 (vitality), X6 (social functioning), X7 (role-emotional) and X8 (mental health) were positively correlated with Y1 (positive affect) and Y3 (positive experience), negatively correlated with Y2 (negative affect) and Y4 (negative experience). Cross-loadings revealed that physical functioning, bodily pain, general health, vitality, social functioning and mental health were the main factors reflecting the subjective wellbeing of older adults. DISCUSSION: As quality of life among older adults was highly correlated with subjective wellbeing, appropriate measures should be taken to account for individual characteristics of older adults, and various factors should be integrated to improve their subjective wellbeing. Frontiers Media S.A. 2023-09-19 /pmc/articles/PMC10548456/ /pubmed/37799159 http://dx.doi.org/10.3389/fpubh.2023.1235276 Text en Copyright © 2023 Liu, Gan, Tan, Sun, Liu and Wan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Liu, Huanting Gan, Qihui Tan, Jianfeng Sun, Xiaoyuan Liu, Yuxi Wan, Chonghua The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis |
title | The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis |
title_full | The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis |
title_fullStr | The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis |
title_full_unstemmed | The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis |
title_short | The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis |
title_sort | association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548456/ https://www.ncbi.nlm.nih.gov/pubmed/37799159 http://dx.doi.org/10.3389/fpubh.2023.1235276 |
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