纵向形态,行为和情绪指标与认知障碍之间的动态关系:来自中国纵向健康长寿调查的证据
Jianle Sun1,2, Luojia Deng1, Qianwen Li1
1Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
身体质量指数 (BMI),日常生活活动 (ADL) 和主观幸福感 (SWB) 能够防止认知障碍. 使用这些因素的动态风险模型能够准确地识别患有认知能力下降风险的个体.
科学领域:
- 老年学是指老年学的学科.
- 神经科学是一个神经科学.
- 公共卫生 公共卫生
背景情况:
- 认知障碍在老年人群中越来越令人担忧.
- 像BMI,ADL和SWB这样的因素可能会影响认知健康轨迹.
- 需要预测模型来识别有风险的个体,以便及时进行干预.
研究的目的:
- 研究BMI,ADL和SWB对认知障碍的保护作用.
- 开发和验证与年龄相关的认知衰退的动态风险预测模型.
主要方法:
- 利用了中国长度健康长寿调查 (1998-2018) 的数据.
- 采用了相关性,线性混合效应和考克斯回归模型.
- 开发了使用贝叶斯联合建模和深度学习 (动态-DeepHit) 的动态预测模型.
主要成果:
- 体重指数BMI,ADL和SWB表现出针对认知障碍的显著保护作用.
- 动态风险预测模型实现了高准确度 (AUC=0.89).
- ADL显示了最强的个人预测能力,组合因素产生了最佳表现.
结论:
- 体重指数,ADL和SWB是衰老中认知健康的关键保护因素.
- 整合这些因素的动态预测模型可以有效地识别弱势个体.
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