Yuan Lei, Xu Qin, Gui Jing, Liu Yuqing, Lin Fuwang, Zhao Zhe, Sun Jinhai
Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China.
Shanghai Zelgen Biopharmaceuticals Co., Ltd, Shanghai, China.
Int Psychogeriatr. 2024 Jul;36(7):587-598. doi: 10.1017/S1041610223000078. Epub 2023 Feb 21.
The aim of this study was to investigate the factors influencing urban-rural differences in depressive symptoms among old people in China and to measure the contribution of relevant influencing factors.
A cross-sectional research. The 2018 data from The Chinese Longitudinal Health Longevity Survey (CLHLS).
Twenty-three provinces in China.
From the 8th CLHLS, 11,245 elderly participants were selected who met the requirements of the study.
We established binary logistic regression models to explore the main influencing factors of their depressive symptoms and used Fairlie models to analyze the influencing factors of the differences in depressive symptoms between the urban and rural elderly and their contribution.
The percentage of depressive symptoms among Chinese older adults was 11.72%, and the results showed that rural older adults (12.41%) had higher rates of depressive symptoms than urban (10.13%). The Fairlie decomposition analysis revealed that 73.96% of the difference in depressive symptoms could be explained, which was primarily associated with differences in annual income (31.51%), education level (28.05%), sleep time ( - 25.67%), self-reported health (24.18%), instrumental activities of daily living dysfunction (20.73%), exercise (17.72%), living status ( - 8.31%), age ( - 3.84%), activities of daily living dysfunction ( - 3.29%), and social activity (2.44%).
The prevalence of depressive symptoms was higher in rural than in urban older adults, which was primarily associated with differences in socioeconomic status, personal lifestyle, and health status factors between the urban and rural residents. If these factors were addressed, we could make targeted and precise intervention strategies to improve the mental health of high-risk elderly.
本研究旨在调查影响中国老年人抑郁症状城乡差异的因素，并衡量相关影响因素的作用。
横断面研究。采用中国健康与养老追踪调查（CLHLS）2018年的数据。
中国23个省份。
从第8轮CLHLS中选取11245名符合研究要求的老年参与者。
我们建立二元逻辑回归模型以探索其抑郁症状的主要影响因素，并使用Fairlie模型分析城乡老年人抑郁症状差异的影响因素及其作用。
中国老年人抑郁症状的发生率为11.72%，结果显示农村老年人（12.41%）的抑郁症状发生率高于城市老年人（10.13%）。Fairlie分解分析显示，抑郁症状差异的73.96%可以得到解释，这主要与年收入差异（31.51%）、教育水平（28.05%）、睡眠时间（-25.67%）、自评健康状况（24.18%）、日常生活工具性活动功能障碍（20.73%）、锻炼（17.72%）、生活状况（-8.31%）、年龄（-3.84%）、日常生活活动功能障碍（-3.29%）和社交活动（2.44%）有关。
农村老年人抑郁症状的患病率高于城市老年人，这主要与城乡居民社会经济地位、个人生活方式和健康状况因素的差异有关。如果解决这些因素，我们可以制定有针对性的精准干预策略，以改善高危老年人的心理健康。
