认知功能轨迹的性别差异和老年人影响因素:基于CHARLS和HRS的机器学习研究
Ruoyun Cao1, Xinyu Xu1, Huimin Chen1
1School of Public Health, Suzhou Medical college of Soochow University, Suzhou, Jiangsu, China.
Journal of affective disorders
|January 31, 2026
概括
由于教育和家庭等因素,中国和美国的认知功能轨迹不同. 干预措施应考虑全球认知健康的性别和文化差异在老年人群中.
科学领域:
- 老年学是一门学科.
- 认知科学 认知科学
- 公共卫生 公共卫生
背景情况:
- 研究影响中国和美国认知功能轨迹的因素.
- 探索认知衰老中的性别和跨国差异.
研究的目的:
- 确定影响中国和美国认知功能差异的关键因素.
- 了解认知衰老的性别特异性和跨国差异.
主要方法:
- 利用了来自中国健康与退休长度研究 (CHARLS) 和健康与退休研究 (HRS) 的五波数据.
- 用于认知轨迹识别的潜在类增长模型 (LCGMs).
- 应用机器学习 (ML) 模型,Boruta算法和SHAP值用于变量选和特征重要性分析.
主要成果:
- XGBoost认为教育是影响两国认知轨迹的主要因素.
- 在中国,家庭因素更为重要,而美国医疗和捐赠保险则表现出更强烈的影响.
- 性别差异出现了:男性受到社交网络的影响,女性受到家庭角色和社区环境的影响.
结论:
- 认知轨迹的跨国和性别差异与公共服务,社会角色和文化背景有关.
- 结果倡导针对性别特异性和文化途径的量身定制干预措施,以促进老龄化人口的全球认知健康.
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