在中国最年长的人口中,晚年认知功能轨迹 - - 一种机器学习方法
Jierong Hu1, Minzhi Ye2, Juan Xi3
1Department of Innovative Social Work, City University of Macau, Macau, China.
Journal of gerontological social work
|April 9, 2024
概括
这项研究确定了老年人的两个认知衰老轨迹:高稳定性和低稳定性. 社会经济地位和心理健康等因素影响了这些认知功能模式.
科学领域:
- 老年学是一门学科.
- 认知科学 认知科学
- 生物心理社会健康 生物心理社会健康
背景情况:
- 了解老年人 (80岁以上) 的认知功能轨迹对于健康的衰老至关重要.
- 生物心理社会框架为检查衰老过程提供了一个全面的镜头.
研究的目的:
- 在使用CLHLS数据集的老年人中识别出不同的认知功能轨迹.
- 探索影响这些认知衰老模式的因素.
主要方法:
- 使用了中国纵向健康长寿调查 (CLHLS) 数据集.
- 采用K-means集群来识别潜在的认知群体.
- 应用拉索回归来确定预测因素.
主要成果:
- 确定了两个组:高稳定性 (HS) 保持认知功能和低稳定性 (LS) 持续低功能.
- 社会经济地位,生物条件,心理健康,生活方式和心理/行为因素预测了群体成员资格.
结论:
- 最老年人的认知衰老不均,观察到不同的稳定性模式.
- 结合生物心理社会元素的多因素方法对于理解和支持衰老中的认知健康至关重要.
- 开创了非参数式机器学习,用于分析长寿研究中的认知轨迹.
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