加快生物衰老与身体,心理和认知多病症和预期寿命之间的关联:队列研究
Zuliyaer Talifu1, Ziyang Ren2, Chen Chen1
1School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Aging cell
|July 13, 2025
概括
通过克莱梅拉 - 杜巴尔方法 (KDM-BA) 和表型年龄 (PhenoAge) 测量的加速生物衰老显著增加了发展多病症和整体死亡率的风险. 这种老龄化速度影响了预期寿命,突出了针对性干预的必要性.
科学领域:
- 老年学与公共卫生
- 生物统计学和流行病学
- 生物标志物和衰老研究
背景情况:
- 全球人口老龄化带来了挑战,多病症成为一个重要的公共卫生问题.
- 生物年龄估计方法,包括Klemera-Doubal方法 (KDM-BA) 和表型年龄 (PhenoAge),提供了超越时间年龄的健康状况的见解.
- 了解加速衰老和多种健康状况的发展之间的联系对于有效的健康管理至关重要.
研究的目的:
- 研究生物衰老 (KDM-BA和PhenoAge) 与多病症之间的关联,包括身体,心理和认知障碍.
- 评估加速衰老对整体死亡风险和预期寿命的影响.
- 评估生物年龄测量对多病态轨迹和死亡结果的预测能力.
主要方法:
- 从英国生物库 (2006-2022) 分析了332,012名成年人,平均随访时间为13.6年.
- 利用横截面关联的后勤回归和Cox比例危险模型进行纵向风险评估.
- 采用多态马尔科夫模型来分析健康状态 (疾病,并发症,死亡) 和衰老速度之间的过渡.
主要成果:
- 加速衰老与更高的并发症患病率有显著的关联.
- 快速衰老的个体面临单一疾病 (16-17%),多病症 (41-44%) 和整体死亡率 (54%) 的风险增加.
- 加速衰老减少了预期寿命,并增加了三倍的并发病率和更快的衰老,导致超过12年的寿命丧失.
结论:
- KDM-BA和PhenoAge是多病症进展,死亡率和预期寿命减少的强有力的预测指标.
- 加速衰老是影响老龄人口健康轨迹和死亡风险的关键因素.
- 将生物年龄测量纳入风险分层框架可以优化对高风险个体的干预措施.
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