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中年死亡率集群对痴呆风险的影响:ARIC研究
Elise Kinyanjui1,2, Renee C Groechel2, Valerie Morrill2
1Department of Neuroscience, St. Mary's College of Maryland, St. Mary's City, Maryland, USA.
中年健康风险,如吸烟和心脏病,显著增加痴呆风险. 然而,将死亡率视为竞争性风险会否定这种关联,突出显示复杂的相互作用.
科学领域:
- 神经科学是一个神经科学.
- 流行病学 流行病学
- 机器学习 机器学习
背景情况:
- 伴随性疾病显著影响痴呆风险.
- 机器学习可以识别对痴呆的综合健康影响.
- 了解这些综合效应可以提供全面的风险评估.
研究的目的:
- 通过使用机器学习,根据中年风险概况对个人进行分组.
- 探索已识别的集群与痴呆风险之间的关联.
- 分析伴随性疾病对痴呆和死亡率的影响.
主要方法:
- 利用ARIC研究中的15,250名参与者 (45-64岁) 的无监督等级集群分析.
- 根据14个中年死亡率定义了9个集群.
- 采用时间到事件回归模型来评估痴呆和死亡风险在25年的中位数随访期间.
主要成果:
- 与痴呆症风险增加相关的群体包括吸烟 (HR=1.62),肥胖/糖尿病/高血压/高糖血 (HR=1.91),心房动/心力衰竭 (HR=2.69).
- 在使用细灰分发模型计算相对的死亡风险时,中年发病率集群和痴呆风险之间的关联被否定了.
结论:
- 中年发病率集群是痴呆和死亡率的重要预测因素.
- 伴随性疾病,痴呆症和死亡率之间的相互作用是复杂的,需要仔细考虑竞争的风险.
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