Empirical analysis of health-related behaviors among older Hakka adults

A latent class analysis

Dados Bibliográficos

ID22084530
AutoresLonghua Cai (Fujian Medical University), Lingling Zhang (0000-0002-1995-9866, Fujian Medical University), Xiaojun Liu (0000-0003-4672-8569, Fujian Medical University, autor correspondente)
Ano2024
Volume12
Páginas1396684-1396684
Data de publicação2024-08-13
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1396684
PMID39193199
OpenAlexW4401602607
IdiomaEN
Citações recebidas1
Referências citadas47

Background Little is known about health-related behaviors of the older Hakka population in China. We aimed to explore the characteristics and correlates of health-related behaviors among older Hakka adults. Methods We used data from the China’s Health-Related Quality of Life Survey for Older Adults 2018. Latent class analysis (LCA) defined latent classes of health-related behaviors for 1,262 older Hakka adults aged 60 and above. Generalized linear regression and multinomial logistic regression analysis were used to identify factors influencing the number and the latent classes of health-related behaviors, respectively. Results The LCA showed that the latent classes could be stratified as the risk group (14.82%), healthy group (55.71%), and inactive group (29.48%). Sex, age, years of education, current residence, living arrangement, average annual household income, and currently employed were associated with the number of healthy behaviors. Compared with the participants in the healthy group, widowed/others ( OR = 5.85, 95% CI = 3.27, 10.48), had 15,001–30,000 ( OR = 2.05, 95% CI = 1.21, 3.47) and 60,001 or higher ( OR = 3.78, 95% CI = 1.26, 11.36) average annual household income, and currently employed ( OR = 3.40, 95% CI = 1.99, 5.81) were highly associated with risk group. Additionally, the participants who are widowed/others ( OR = 4.30, 95% CI = 2.70, 6.85) and currently employed ( OR = 1.95, 95% CI = 1.27, 2.98) were highly associated with the inactive group. Conclusion This study identified factors specifically associated with older Hakka adults’ health-related behaviors from an LCA perspective. The findings indicate that policymakers should give more attention to older adults living alone and implement practical interventions to promote health-related behaviors among them

Geography · Household income · Latent class model · Logistic regression · Multinomial logistic regression · Residence · Chronic Disease Management Strategies · Demography · Health and Wellbeing Research · Health disparities and outcomes · Medicine · Gerontology