Quality of life of older people in nursing homes in China–evaluation and application of the Chinese version of the life satisfaction questionnaire
Abstract Background Chinese and global populations are aging, and more older people are living in nursing homes in China. However, there is a lack of research measuring nursing home residents’ quality of life (QOL), and especially associations with nursing home types (publicly versus privately run)....
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Format: | Article |
Language: | English |
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BMC
2022-04-01
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Series: | BMC Geriatrics |
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Online Access: | https://doi.org/10.1186/s12877-022-03040-4 |
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author | Yan Lou Lijuan Xu Marianne Carlsson Xuefen Lan Maria Engström |
author_facet | Yan Lou Lijuan Xu Marianne Carlsson Xuefen Lan Maria Engström |
author_sort | Yan Lou |
collection | DOAJ |
description | Abstract Background Chinese and global populations are aging, and more older people are living in nursing homes in China. However, there is a lack of research measuring nursing home residents’ quality of life (QOL), and especially associations with nursing home types (publicly versus privately run). Therefore, this study aimed to determine the construct validity and internal consistency of the Chinese version of the life satisfaction questionnaire (LSQ-Chinese) and determine the associations between nursing home types (publicly versus privately run), residents’ sociodemographic characteristics, and their QOL. Methods A cross-sectional survey measuring QOL among older people living in nursing homes was conducted (n = 419). Confirmatory factor analysis and Cronbach’s alpha were used to assess the construct validity and reliability of the LSQ-Chinese. In addition, multivariate regression analysis was used to examine these associations. Results Confirmatory factor analysis indicated acceptable goodness-of-fit statistics for the seven-factor LSQ solution. All factors and the total scale had good internal consistency, with Cronbach’s alpha values > 0.70. The two factors with the highest QOL scores (higher scores indicate a more desirable state) were “physical symptoms” and “socioeconomic situation,” and those with the lowest QOL scores were “quality of close-friend relationships” and “quality of daily activities fun”. Residents living in privately run nursing homes had higher LSQ scores overall and for all factors except “physical symptoms” and “sickness impact” compared with publicly run nursing homes. Multivariate analyses indicated that marital status, number of chronic diseases, education level, main source of income, and nursing home type significantly contributed to the variance in the total LSQ scores. The associated sociodemographic variables differed between the factors, and the variable publicly versus privately run was significant for five of the seven factors. Conclusions The LSQ is a suitable instrument for measuring the QOL of Chinese nursing home residents. The total LSQ score was higher among residents in privately run nursing homes than in publicly run ones. According to residents’ needs, staff should work for person-centered activities, and facilitate residents’ social interactions with friends, as both these aspects were scored relatively low. |
first_indexed | 2024-12-10T10:52:36Z |
format | Article |
id | doaj.art-8d63c099369947ada6b43c5bf5af7990 |
institution | Directory Open Access Journal |
issn | 1471-2318 |
language | English |
last_indexed | 2024-12-10T10:52:36Z |
publishDate | 2022-04-01 |
publisher | BMC |
record_format | Article |
series | BMC Geriatrics |
spelling | doaj.art-8d63c099369947ada6b43c5bf5af79902022-12-22T01:51:57ZengBMCBMC Geriatrics1471-23182022-04-0122111110.1186/s12877-022-03040-4Quality of life of older people in nursing homes in China–evaluation and application of the Chinese version of the life satisfaction questionnaireYan Lou0Lijuan Xu1Marianne Carlsson2Xuefen Lan3Maria Engström4Medicine College, Lishui UniversityMedicine College, Lishui UniversityDepartment of Caring Science, Faculty of Health and Occupational Studies, University of GävleMedicine College, Lishui UniversityDepartment of Caring Science, Faculty of Health and Occupational Studies, University of GävleAbstract Background Chinese and global populations are aging, and more older people are living in nursing homes in China. However, there is a lack of research measuring nursing home residents’ quality of life (QOL), and especially associations with nursing home types (publicly versus privately run). Therefore, this study aimed to determine the construct validity and internal consistency of the Chinese version of the life satisfaction questionnaire (LSQ-Chinese) and determine the associations between nursing home types (publicly versus privately run), residents’ sociodemographic characteristics, and their QOL. Methods A cross-sectional survey measuring QOL among older people living in nursing homes was conducted (n = 419). Confirmatory factor analysis and Cronbach’s alpha were used to assess the construct validity and reliability of the LSQ-Chinese. In addition, multivariate regression analysis was used to examine these associations. Results Confirmatory factor analysis indicated acceptable goodness-of-fit statistics for the seven-factor LSQ solution. All factors and the total scale had good internal consistency, with Cronbach’s alpha values > 0.70. The two factors with the highest QOL scores (higher scores indicate a more desirable state) were “physical symptoms” and “socioeconomic situation,” and those with the lowest QOL scores were “quality of close-friend relationships” and “quality of daily activities fun”. Residents living in privately run nursing homes had higher LSQ scores overall and for all factors except “physical symptoms” and “sickness impact” compared with publicly run nursing homes. Multivariate analyses indicated that marital status, number of chronic diseases, education level, main source of income, and nursing home type significantly contributed to the variance in the total LSQ scores. The associated sociodemographic variables differed between the factors, and the variable publicly versus privately run was significant for five of the seven factors. Conclusions The LSQ is a suitable instrument for measuring the QOL of Chinese nursing home residents. The total LSQ score was higher among residents in privately run nursing homes than in publicly run ones. According to residents’ needs, staff should work for person-centered activities, and facilitate residents’ social interactions with friends, as both these aspects were scored relatively low.https://doi.org/10.1186/s12877-022-03040-4Psychometric testingLife satisfaction questionnaireQuality of lifeOlder adultsResidential living homesInfluencing factors |
spellingShingle | Yan Lou Lijuan Xu Marianne Carlsson Xuefen Lan Maria Engström Quality of life of older people in nursing homes in China–evaluation and application of the Chinese version of the life satisfaction questionnaire BMC Geriatrics Psychometric testing Life satisfaction questionnaire Quality of life Older adults Residential living homes Influencing factors |
title | Quality of life of older people in nursing homes in China–evaluation and application of the Chinese version of the life satisfaction questionnaire |
title_full | Quality of life of older people in nursing homes in China–evaluation and application of the Chinese version of the life satisfaction questionnaire |
title_fullStr | Quality of life of older people in nursing homes in China–evaluation and application of the Chinese version of the life satisfaction questionnaire |
title_full_unstemmed | Quality of life of older people in nursing homes in China–evaluation and application of the Chinese version of the life satisfaction questionnaire |
title_short | Quality of life of older people in nursing homes in China–evaluation and application of the Chinese version of the life satisfaction questionnaire |
title_sort | quality of life of older people in nursing homes in china evaluation and application of the chinese version of the life satisfaction questionnaire |
topic | Psychometric testing Life satisfaction questionnaire Quality of life Older adults Residential living homes Influencing factors |
url | https://doi.org/10.1186/s12877-022-03040-4 |
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