Balachandran A, Pei H, Shi Y, Beard J, Caspi A, Cohen A, Domingue B W, Eckstein Indik C, Ferrucci L, Furuya A, Kothari M, Moffitt T E, Ryan C, Skirbekk V, Zhang Y, Belsky D 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.
medRxiv. 2024 Nov 12:2024.04.25.24306359. doi: 10.1101/2024.04.25.24306359.
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 analysis do not distinguish differences caused by early-life factors, such as prenatal care and nutrition, from those caused by ongoing changes in people's bodies due to aging. 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 data from the US Health and Retirement Study and English Longitudinal Study of Aging (N=21,463), 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. 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。目前用于政策分析的指标无法区分由早期生活因素(如产前护理和营养)引起的差异与由于衰老导致的人体持续变化所引起的差异。在此,我们引入一种经过改进的衰老速度方法,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。这种经过改进的衰老速度方法应用于美国健康与退休研究以及英国老龄化纵向研究的数据(N = 21,463),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,并显示出与发病、残疾和死亡事件之间强烈且一致的前瞻性关联。衰老速度可以推动健康长寿的人口科学发展。