Department of Social Medicine and Health Management, School of Health Management, Fujian Medical University, Fuzhou, China.
Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Front Public Health. 2024 Aug 13;12:1396684. doi: 10.3389/fpubh.2024.1396684. eCollection 2024.
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.
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.
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 ( = 5.85, 95% = 3.27, 10.48), had 15,001-30,000 ( = 2.05, 95% = 1.21, 3.47) and 60,001 or higher ( = 3.78, 95% = 1.26, 11.36) average annual household income, and currently employed ( = 3.40, 95% = 1.99, 5.81) were highly associated with risk group. Additionally, the participants who are widowed/others ( = 4.30, 95% = 2.70, 6.85) and currently employed ( = 1.95, 95% = 1.27, 2.98) were highly associated with the inactive group.
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.
目前对于中国老年客家人群的健康相关行为知之甚少。本研究旨在探讨老年客家成年人健康相关行为的特征和相关性。
我们使用了 2018 年中国老年人健康相关生活质量调查的数据。潜在类别分析（LCA）为 1262 名 60 岁及以上的老年客家成年人确定了健康相关行为的潜在类别。使用广义线性回归和多项逻辑回归分析分别确定影响健康相关行为数量和潜在类别的因素。
LCA 结果显示，潜在类别可分为风险组（14.82%）、健康组（55.71%）和不活跃组（29.48%）。性别、年龄、受教育年限、当前居住地、居住安排、平均家庭年收入和当前就业状况与健康行为数量相关。与健康组相比，丧偶/其他（ = 5.85，95%置信区间 = 3.27，10.48）、家庭年收入 15001-30000（ = 2.05，95%置信区间 = 1.21，3.47）和 60001 或以上（ = 3.78，95%置信区间 = 1.26，11.36）以及有工作（ = 3.40，95%置信区间 = 1.99，5.81）的参与者与风险组高度相关。此外，丧偶/其他（ = 4.30，95%置信区间 = 2.70，6.85）和有工作（ = 1.95，95%置信区间 = 1.27，2.98）的参与者与不活跃组高度相关。
本研究从潜在类别分析的角度确定了与老年客家成年人健康相关行为相关的因素。研究结果表明，政策制定者应更加关注独居的老年人，并实施切实可行的干预措施，促进他们的健康相关行为。
