Balachandran Arun, Pei Heming, Shi Yifan, Beard John R, Caspi Avshalom, Cohen Alan A, Domingue Benjamin W, Eckstein Indik Claire, Ferrucci Luigi, Furuya Alex, Kothari Meeraj, Moffitt Terrie E, Ryan Calen P, Skirbekk Vegard, Zhang Yuan S, Belsky Daniel W
Robert N Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY, USA.
Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Nat Aging. 2025 May 26. doi: 10.1038/s43587-025-00866-6.
As societies age, policy makers need tools to understand how demographic aging will affect population health and to develop programs to increase healthspan. The current metrics used for policy do not distinguish differences caused by early-life factors, like prenatal care and nutrition, from those caused by ongoing changes in people's bodies that are due to aging and that may be modifiable. Here we introduce an adapted Pace of Aging method designed to quantify differences between individuals and populations in the speed of aging-related health declines. The adapted Pace of Aging method, implemented in parallel in data from the US Health and Retirement Study and in the English Longitudinal Study of Aging (combined n = 19,045), integrates longitudinal data on blood biomarkers, physical measurements and functional tests. It reveals stark differences in rates of aging between population subgroups and demonstrates strong and consistent prospective associations with incident morbidity, disability and mortality. This adapted and generalizable method to measure Pace of Aging can advance the population science of healthy longevity.
随着社会老龄化，政策制定者需要工具来了解人口老龄化将如何影响人口健康，并制定计划以延长健康寿命。目前用于政策制定的指标无法区分由早期生活因素（如产前护理和营养）引起的差异与由人们身体因衰老而持续发生的、可能可改变的变化所引起的差异。在此，我们引入一种经过调整的衰老速度方法，旨在量化个体和人群在与衰老相关的健康衰退速度方面的差异。这种经过调整的衰老速度方法在美国健康与退休研究以及英国老龄化纵向研究的数据中并行实施（合并样本量n = 19045），整合了血液生物标志物、身体测量和功能测试的纵向数据。它揭示了不同人群亚组之间衰老速度的显著差异，并表明与发病率、残疾率和死亡率的发生存在强烈且一致的前瞻性关联。这种经过调整且可推广的测量衰老速度的方法能够推动健康长寿的人口科学发展。
