老年人多模式症状集群与功能障碍之间的纵向关联:使用SHARE,ELSA和KLoSA进行比较队列分析
Quanfeng Zhang1, Pi Liu2, Xuan Xu2
1Department of Gastroenterology, People's Hospital of Longhua, NO. 38 Jinglong construction Road, Shenzhen, 518109, Guangdong, China. Zhangqf90@gmail.com.
Scientific reports
|November 19, 2025
概括
疼痛,睡眠问题和抑郁症的组合显著增加了老年人功能障碍的风险. 早期识别这些症状集群可以帮助预防衰退.
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:
- 功能性残疾是老龄化人口中日益严重的全球性挑战.
- 疼痛,睡眠障碍和抑郁情绪等同时出现的症状对功能障碍的综合影响在不同文化中仍未得到充分研究.
研究的目的:
- 研究多模式症状集群 (疼痛,睡眠障碍,抑郁情绪) 与功能障碍的出现之间的纵向关联.
- 分析文化上不同的欧洲和东亚群体之间的这些关联.
主要方法:
- 利用了来自SHARE,ELSA和KLoSA的33,766名功能独立成年人 (≥50岁) 的统一数据.
- 根据基线疼痛,睡眠障碍和抑郁情绪定义的症状集群.
- 采用考克斯模型来估计残疾风险,使用桑基图表来可视化过渡,以及用于途径探索的调解分析.
主要成果:
- 多症状集群显示了与功能衰退的剂量反应关系,三重症状组显示的风险最高 (HR=2.36).
- 疼痛和睡眠障碍成为功能障碍最强烈的预测因素.
- 症状集群显示动态的纵向轨迹,包括持久性,进展和部分逆转,表明潜在的干预窗口.
结论:
- 这项跨国研究是第一个系统地分析不同文化背景的症状集群-残疾途径.
- 症状组合具有重要的预测价值和与衰老相关的时间动态.
- 这些发现支持将症状集群评估纳入全球衰老监测和老年预防战略.
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