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一个基于体检数据的生物年龄模型,用于预测中国人口的死亡率
Qingqing Jia1, Chen Chen1, Andi Xu1
1Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
iScience
|February 22, 2024
概括
一种新的生物年龄测量方法,即平衡年龄,有效地利用中国成年人的体检数据预测死亡风险. 该工具可以识别体重不足,吸烟或饮酒的人的加快衰老,帮助健康管理.
科学领域:
- 老年学是指老年学的学科.
- 生物统计学 生物统计学
- 公共卫生 公共卫生
背景情况:
- 生物年龄是健康和衰老的关键指标.
- 在中国,使用物理数据进行现有的生物衰老测量是有限的.
- 量化衰老率对于健康评估至关重要.
研究的目的:
- 使用可访问的体检数据,开发和验证一种新的生物年龄测量方法 (Balanced-AGE).
- 评估平衡-AGE对所有原因死亡率的预测性能.
- 探索与加速衰老相关的因素.
主要方法:
- 使用身体健康检查数据开发了平衡-AGE测量.
- 采用重复子抽样方法来处理数据不平衡.
- 验证了模型在预测全因死亡率方面的表现.
主要成果:
- 均衡AGE显示出所有原因死亡率的强有力的预测性能 (10年时间依赖的AUC为0.908).
- 该工具的有效性在各种人口和生活方式子组中是一致的.
- 体重不足,吸烟和饮酒与更高的年龄加速有关.
结论:
- 均衡AGE是评估生物年龄的经过验证和广泛应用的工具.
- 它可以有效地预测死亡风险,并识别加速衰老的个体.
- 该措施支持对老年人口的健康评估和管理策略.
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