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The trend in quality of life of Chinese population: analysis based on population health surveys from 2008 to 2020
BACKGROUND: Quality of life (QoL) is one of the most important indicators for evaluating an individual’s overall health status. However, evidence exploring the trend in QoL of the Chinese population is still lacking. This study aimed to investigate the trend in QoL of the Chinese population measured...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873389/ https://www.ncbi.nlm.nih.gov/pubmed/36694154 http://dx.doi.org/10.1186/s12889-023-15075-2 |
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author | Wang, Dingyao Xie, Shitong Wu, Jing Sun, Bei |
author_facet | Wang, Dingyao Xie, Shitong Wu, Jing Sun, Bei |
author_sort | Wang, Dingyao |
collection | PubMed |
description | BACKGROUND: Quality of life (QoL) is one of the most important indicators for evaluating an individual’s overall health status. However, evidence exploring the trend in QoL of the Chinese population is still lacking. This study aimed to investigate the trend in QoL of the Chinese population measured by the EQ-5D from 2008 to 2020, as well as compare the changing trends in QoL categorized by populations with different socio-demographic characteristics. METHODS: Data were obtained from the 2008, 2013, and 2020 waves of the Health Services Surveys conducted in Tianjin, China. Respondents completed the EQ-5D (EQ-5D-3L in 2008 and 2013 and EQ-5D-5L in 2020) through face-to-face interviews or self-administration. Responses of the EQ-5D-3L in 2008 and 2013 were mapped onto the EQ-5D-5L responses, and then converted to utility values using the Chinese value set. The trend in QoL was explored by comparing the percentage of any reported problems on each EQ-5D dimension and the corresponding utility values across the three waves. Subgroup analyses were performed to compare trends in utility values stratified by socio-demographic indicators. The effect of the time variable (year) on utility values was assessed by multiple linear regression analyses using the pooled data. RESULTS: By analyzing and comparing the three waves of the data (N = 25,939 in the 2008 wave, N = 22,138 in 2013, and N = 19,177 in 2020), an upward trend was observed in the percentages of reporting problems on all five dimensions (p < 0.001), resulting in a decreasing trend in utility values (2008: 0.948, 2013: 0.942, 2020: 0.939, p < 0.001). Utility values declined more over time among the female, the elder, the recipients of medical assistance, the widowed, the unemployed, and respondents with primary or lower education. The effect of the year (Coef. for 2013 = − 0.009, p < 0.001; Coef. for 2020 = − 0.010, p < 0.001) confirmed the downward trend in the utility values. CONCLUSIONS: The overall QoL of the Chinese population decreased over the period from 2008 to 2020. The QoL of the disadvantaged or vulnerable populations in terms of socioeconomic characteristics declined more over time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15075-2. |
format | Online Article Text |
id | pubmed-9873389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98733892023-01-25 The trend in quality of life of Chinese population: analysis based on population health surveys from 2008 to 2020 Wang, Dingyao Xie, Shitong Wu, Jing Sun, Bei BMC Public Health Research BACKGROUND: Quality of life (QoL) is one of the most important indicators for evaluating an individual’s overall health status. However, evidence exploring the trend in QoL of the Chinese population is still lacking. This study aimed to investigate the trend in QoL of the Chinese population measured by the EQ-5D from 2008 to 2020, as well as compare the changing trends in QoL categorized by populations with different socio-demographic characteristics. METHODS: Data were obtained from the 2008, 2013, and 2020 waves of the Health Services Surveys conducted in Tianjin, China. Respondents completed the EQ-5D (EQ-5D-3L in 2008 and 2013 and EQ-5D-5L in 2020) through face-to-face interviews or self-administration. Responses of the EQ-5D-3L in 2008 and 2013 were mapped onto the EQ-5D-5L responses, and then converted to utility values using the Chinese value set. The trend in QoL was explored by comparing the percentage of any reported problems on each EQ-5D dimension and the corresponding utility values across the three waves. Subgroup analyses were performed to compare trends in utility values stratified by socio-demographic indicators. The effect of the time variable (year) on utility values was assessed by multiple linear regression analyses using the pooled data. RESULTS: By analyzing and comparing the three waves of the data (N = 25,939 in the 2008 wave, N = 22,138 in 2013, and N = 19,177 in 2020), an upward trend was observed in the percentages of reporting problems on all five dimensions (p < 0.001), resulting in a decreasing trend in utility values (2008: 0.948, 2013: 0.942, 2020: 0.939, p < 0.001). Utility values declined more over time among the female, the elder, the recipients of medical assistance, the widowed, the unemployed, and respondents with primary or lower education. The effect of the year (Coef. for 2013 = − 0.009, p < 0.001; Coef. for 2020 = − 0.010, p < 0.001) confirmed the downward trend in the utility values. CONCLUSIONS: The overall QoL of the Chinese population decreased over the period from 2008 to 2020. The QoL of the disadvantaged or vulnerable populations in terms of socioeconomic characteristics declined more over time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15075-2. BioMed Central 2023-01-24 /pmc/articles/PMC9873389/ /pubmed/36694154 http://dx.doi.org/10.1186/s12889-023-15075-2 Text en © The Author(s) 2023 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 Wang, Dingyao Xie, Shitong Wu, Jing Sun, Bei The trend in quality of life of Chinese population: analysis based on population health surveys from 2008 to 2020 |
title | The trend in quality of life of Chinese population: analysis based on population health surveys from 2008 to 2020 |
title_full | The trend in quality of life of Chinese population: analysis based on population health surveys from 2008 to 2020 |
title_fullStr | The trend in quality of life of Chinese population: analysis based on population health surveys from 2008 to 2020 |
title_full_unstemmed | The trend in quality of life of Chinese population: analysis based on population health surveys from 2008 to 2020 |
title_short | The trend in quality of life of Chinese population: analysis based on population health surveys from 2008 to 2020 |
title_sort | trend in quality of life of chinese population: analysis based on population health surveys from 2008 to 2020 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873389/ https://www.ncbi.nlm.nih.gov/pubmed/36694154 http://dx.doi.org/10.1186/s12889-023-15075-2 |
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