ArticleBMC public health2025
Prevalence and associated factors of healthy aging among community-dwelling older adults in Lishui city, China: a cross-sectional study.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Effects of a Comprehensive Intervention Program of Static-Dynamic Balance Training Combined with Reminiscence Therapy on the Level of Healthy Aging Among Older Adults in a Rural Community: A Randomized Controlled Trial.Clinical interventions in aging · 2025Trial
- Factors associated with healthy ageing among older persons in Senior Citizens Activity Centres (Pusat Aktiviti Warga Emas, PAWE), Klang Valley, Malaysia: a cross-sectional study.BMC public health · 2026Article
- Family function and health self-management ability among older adults from mountainous areas in China: moderated mediation model in a cross-sectional study.BMC public health · 2025Article
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4 authors.
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Abstract
backgroundIdentifying the level of healthy aging and exploring its associated factors are prerequisites in the planning of effective measures among the elderly population. Thus, this study aimed to investigate the prevalence of healthy aging and determine its associated factors among community-dwelling older adults from mountain areas in Lishui, China.
methodsA multicenter cross-sectional survey was conducted. Participants were recruited by a multi-stage stratified cluster-sampling procedure from a mountainous region in Lishui City, Zhejiang Province, China. A validated questionnaire of Healthy Aging Instruments (HAI), Basic Psychological Needs Satisfaction (BPNS), Patient Health Questionnaire (PHQ-9), Ascertain Dementia 8 questionnaire (AD8), Family Adaption Scale (FAS), Community-Based Health Promotion Activity Questionnaires (HPAQ), Social Function Questionnaire for Chinese Older Adults (SFQCOA), Adult Health Self-Management Skills (ability) Rating Scale (AHSMSRS) was incorporated. The questionnaire also captured sociodemographic characteristics, lifestyle behaviors, and Self-Perceived Healthy Ageing (SPHA). Multivariate stepwise linear regression analysis was performed.
resultsThe mean score of the Healthy Aging index was 136.5 (18.22). The majority of the participants have a high level of healthy aging (65.5%). Regression analysis showed 12 predictors of healthy aging: self-perceived economic independence, lifestyle-related behaviors, subjective physical health, psychological health, better competence of BPNS, frequency of community-based HPA participation, lower HPA-perceived barriers, social support, social engagement, and Health Self-Management (HSM) ability with two dimensions HSM-Consciousness and HSM-Behavior, as well as SPHA (P < 0.05).
conclusionsThis study contributed to the existing gap in both subjective and objective understanding of healthy aging, especially in terms of its relationship with sociodemographic factors, lifestyle-related behaviors, individual health conditions, environmental coverage, as well as family, community and social support. Both individual-environment interaction factors as better HSM ability as well as SPHA might help predict older adults' healthy aging in mountainous areas in China. Developing an accurate, reliable health promotion program that provides insights may improve healthy aging changes in mountainous regions for community healthcare staff, especially nurses.
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