Frontiers in public health · 2026
Exploration of subgroups and predictors of health-promoting lifestyle among older adults in the community: a latent profile analysis.
СтатьяНазвание и аннотация: Перевод в очереди
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Bao Jianyi, Li Shasha, Lu Yuwei, Guo Guojing, Wang Yuecong, Liao Shufang, Li Yue, Xi Yingxue, Song Xiaofang, Yang Xinyu
Аннотация
PURPOSE: The health-promoting lifestyle has an impact on the quality of life of older people. This study aimed to explore the subgroup characteristics and predictors of health-promoting lifestyles among community-dwelling older adults.
METHODS: This study involved 503 community-dwelling Chinese older adults. Latent profile analysis was employed to identify subgroups of community-dwelling older adults with health-promoting lifestyles, and predictors affecting each subgroup were analyzed using univariate analysis and multiple logistic regression analysis.
RESULTS: Health-promoting lifestyles among community-dwelling older adults were identified in three categories: low health-promoting lifestyle group (32.80%), moderate health-promoting lifestyle-low health responsibility group (44.33%), and high health-promoting lifestyle-low stress management group (22.86%). Gender, the number of chronic diseases, smartphone use, residential status, monthly income, participation in geriatric activities, household registration type, medical insurance, friend networks, and health risk perception were predictors of subgroup membership.
CONCLUSION: This study classified health-promoting lifestyles among community-residing older adults and identified predictors for each, helping to develop tailored health intervention programs.
METHODS: This study involved 503 community-dwelling Chinese older adults. Latent profile analysis was employed to identify subgroups of community-dwelling older adults with health-promoting lifestyles, and predictors affecting each subgroup were analyzed using univariate analysis and multiple logistic regression analysis.
RESULTS: Health-promoting lifestyles among community-dwelling older adults were identified in three categories: low health-promoting lifestyle group (32.80%), moderate health-promoting lifestyle-low health responsibility group (44.33%), and high health-promoting lifestyle-low stress management group (22.86%). Gender, the number of chronic diseases, smartphone use, residential status, monthly income, participation in geriatric activities, household registration type, medical insurance, friend networks, and health risk perception were predictors of subgroup membership.
CONCLUSION: This study classified health-promoting lifestyles among community-residing older adults and identified predictors for each, helping to develop tailored health intervention programs.