预测瘦身量与老年人认知功能相关的预测瘦身量
Hong-Jian Gong1, Xingyao Tang2, Yin-He Chai1
1Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Frontiers in endocrinology
|July 24, 2023
概括
更高的瘦身量 (LBM) 与老年人更好的信息处理速度有关. 这种联系可能有助于早期发现和预防认知能力下降.
科学领域:
- 老年学是一门学科.
- 神经科学是一个神经科学.
- 公共卫生 公共卫生
背景情况:
- 以前关于瘦身量 (LBM) 和认知功能的研究已经产生了不确定的结果.
- 国家健康和营养检查调查 (NHANES) 为研究这种关系提供了有价值的数据集.
研究的目的:
- 为了检查预测瘦身量 (LBM) 和老年人的认知功能之间的关联.
- 为了确定潜在的生物标志物用于早期检测认知障碍.
主要方法:
- 利用了来自60岁及以上的2955名参与者的NHANES 2011-2014数据.
- 使用后勤回归模型来评估预测的LBM和认知测试 (DSST,CERAD-WL,CERAD-DR,AF) 之间的关系.
- 认知障碍被定义为每个认知测试中表现的最低四分位数;进行了性别分层分析.
主要成果:
- 在预测的LBM和信息处理速度 (DSST) 之间发现了显著的积极关联,即使经过对共变量进行调整 (OR=0.95,95%CI=0.91-0.99).
- 在LBM的最高四分位数的参与者显示,与最低四分位数 (OR=0.355,95%CI=0.153-0.822) 相比,DSST损伤的几率要低得多.
- 在LBM与其他认知领域 (记忆,执行功能) 或按性别分层时没有观察到显著的关联.
结论:
- 预测的瘦身量与老年人的认知功能有关,特别是信息处理速度.
- 这一发现表明,LBM可以作为针对认知衰退的早期发现和预防策略的潜在指标.
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