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基于随机森林模型的中国老年人抑郁症状的关键因素的城乡差异

Jun Wang¹, Yiwen Wang¹, Shufeng Chen¹

¹School of Physical Education, Shandong University, Jinan 250061, China.

Journal of affective disorders

|October 11, 2023

概括

在农村的老年人中,抑郁症状更为普遍. 城市和农村的中国老年人之间存在关键影响因素的差异,需要针对健康老龄化进行量身定制的干预.

科学领域:

老年学是指老年学的学科.
公共卫生公共卫生
流行病学流行病学

背景情况:

抑郁症在全球范围内对健康老龄化构成重大挑战.
了解老年人抑郁症的城乡差异对于有针对性的干预至关重要.

研究的目的:

调查中国老年人抑郁症状的城乡差异.
在这些不同的人群中确定影响抑郁症状的关键因素.

主要方法:

利用来自中国健康与退休长度调查 (CHARLS2018) 的5267名老年人的数据.
采用随机森林和物流回归模型来分析影响因素.
研究了与抑郁症状相关的19个潜在变量.

主要成果:

抑郁症状的总体检测率为31.0%,在农村地区 (34.8%) 比城市地区 (22.3%) 高.
常见因素包括教育,自我评估的健康,疼痛和视力.
城市特有的因素:身体活动,社交活动和听力.
农村特有的因素:酒精消费和婚姻状况.

结论:

抑郁症状的关键因素在城市和农村的老年人之间有很大差异.
研究结果支持制定差异化的预防和精确的干预策略.
干预措施可以通过解决抑郁症的特定城乡决定因素来促进健康的衰老.

关键词:

抑郁症的症状抑郁症的症状年龄较大的成年人.随机的森林随机的森林城市和农村之间的差异.变量重要性衡量了变量的重要性.

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