Central features in health-related quality of life in older adults: network analysis using nationwide survey data

Background Population ageing is a global phenomenon that necessitates consideration of health-related quality of life (HRQoL) in older adults. Previous studies have investigated related factors including mobility, social support and living situations. Aims This study aimed to provide a network pers...

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Main Authors: Eun Jung Cha, Yeonsil Moon, Seung-Ho Ryu, Hong Jun Jeon
Format: Article
Language:English
Published: Cambridge University Press 2023-09-01
Series:BJPsych Open
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S2056472423005367/type/journal_article
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author Eun Jung Cha
Yeonsil Moon
Seung-Ho Ryu
Hong Jun Jeon
author_facet Eun Jung Cha
Yeonsil Moon
Seung-Ho Ryu
Hong Jun Jeon
author_sort Eun Jung Cha
collection DOAJ
description Background Population ageing is a global phenomenon that necessitates consideration of health-related quality of life (HRQoL) in older adults. Previous studies have investigated related factors including mobility, social support and living situations. Aims This study aimed to provide a network perspective on factors related to HRQoL. Method Cross-sectional nationwide data were obtained from the Korean National Health and Nutrition Examination Survey conducted from 2018 to 2020 for network analyses. Data for participants aged 65 years or above were analysed, resulting in a total of 4317 eligible cases. The variables included were EQ-5D (a measure of HRQoL), household income, education, living situation, subjective perceived health, Charlson Comorbidity Index (a measure of medical comorbidities), stress, exercise per week, alcohol consumption and smoking. Three networks were produced: (a) EQ-5D dimensions network, (2) EQ-5D dimensions, lifestyle and psychosocial factors network, and (3) overall EQ-5D index, lifestyle and psychosocial factors network. Node centralities, bridge centralities and edges of the networks were examined. Results The most central EQ-5D dimension was the ability to carry out usual activities. In the second network, subjective health, stress and anxiety/depression were revealed as nodes with high bridge centralities. Subjective health, exercise, and Charlson Comorbidity Index were nodes closely linked to the overall EQ-5D index. Conclusions The results emphasise the importance of enhancing functional independence and subjective health cognition, increasing routine exercise and reducing stress as targets for interventions to improve HRQoL in older adults.
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spelling doaj.art-58ba7ceb7f2f4741abc0496f2c433abd2023-08-08T04:22:50ZengCambridge University PressBJPsych Open2056-47242023-09-01910.1192/bjo.2023.536Central features in health-related quality of life in older adults: network analysis using nationwide survey dataEun Jung Cha0Yeonsil Moon1Seung-Ho Ryu2Hong Jun Jeon3https://orcid.org/0000-0002-0260-0494Department of Psychiatry, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of KoreaDepartment of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of KoreaDepartment of Psychiatry, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of KoreaDepartment of Psychiatry, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of KoreaBackground Population ageing is a global phenomenon that necessitates consideration of health-related quality of life (HRQoL) in older adults. Previous studies have investigated related factors including mobility, social support and living situations. Aims This study aimed to provide a network perspective on factors related to HRQoL. Method Cross-sectional nationwide data were obtained from the Korean National Health and Nutrition Examination Survey conducted from 2018 to 2020 for network analyses. Data for participants aged 65 years or above were analysed, resulting in a total of 4317 eligible cases. The variables included were EQ-5D (a measure of HRQoL), household income, education, living situation, subjective perceived health, Charlson Comorbidity Index (a measure of medical comorbidities), stress, exercise per week, alcohol consumption and smoking. Three networks were produced: (a) EQ-5D dimensions network, (2) EQ-5D dimensions, lifestyle and psychosocial factors network, and (3) overall EQ-5D index, lifestyle and psychosocial factors network. Node centralities, bridge centralities and edges of the networks were examined. Results The most central EQ-5D dimension was the ability to carry out usual activities. In the second network, subjective health, stress and anxiety/depression were revealed as nodes with high bridge centralities. Subjective health, exercise, and Charlson Comorbidity Index were nodes closely linked to the overall EQ-5D index. Conclusions The results emphasise the importance of enhancing functional independence and subjective health cognition, increasing routine exercise and reducing stress as targets for interventions to improve HRQoL in older adults. https://www.cambridge.org/core/product/identifier/S2056472423005367/type/journal_articleQuality of lifeageinghealthexercisestress
spellingShingle Eun Jung Cha
Yeonsil Moon
Seung-Ho Ryu
Hong Jun Jeon
Central features in health-related quality of life in older adults: network analysis using nationwide survey data
BJPsych Open
Quality of life
ageing
health
exercise
stress
title Central features in health-related quality of life in older adults: network analysis using nationwide survey data
title_full Central features in health-related quality of life in older adults: network analysis using nationwide survey data
title_fullStr Central features in health-related quality of life in older adults: network analysis using nationwide survey data
title_full_unstemmed Central features in health-related quality of life in older adults: network analysis using nationwide survey data
title_short Central features in health-related quality of life in older adults: network analysis using nationwide survey data
title_sort central features in health related quality of life in older adults network analysis using nationwide survey data
topic Quality of life
ageing
health
exercise
stress
url https://www.cambridge.org/core/product/identifier/S2056472423005367/type/journal_article
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