Joint association of objective and subjective aging with premature mortality.

IF 6 Q2 GERIATRICS & GERONTOLOGY npj aging Pub Date : 2025-01-25 DOI:10.1038/s41514-024-00190-0
Minghao Kou, Hao Ma, Xuan Wang, Yoriko Heianza, Lu Qi
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Abstract

Objective and subjective aging indicators reflect diverse biological and psychosocial processes, yet their combined association with premature mortality remains underexplored. This study aimed to investigate the association between a multidomain framework of aging indicators and premature mortality, addressing gaps in understanding cumulative effects. We included 369,741 UK Biobank participants initially free of cardiovascular disease (CVD) and cancer, followed until December 31, 2022. Four indicators, hearing loss, tooth loss, falls and subjective aging, were counted, and their joint associations with all-cause and cause-specific premature mortality were analyzed using the Cox proportional hazard models. During a median follow-up of 13.74 years, we documented 22,934 premature mortality. Participants with all indicators had an 81% (95%CI: 59-107%), 96% (47-160%), 55% (26-91%), and 114% (73-165%) higher risk of all-cause, CVD, cancer, and other-cause premature mortality, respectively, compared to those without indicators. The associations were particularly elevated among younger participants, those with unhealthy lifestyles, and those of lower socioeconomic status (P for interactions <0.05). Additive interaction with frailty contributed an additional 16.08% (7.91-24.25%) risk of premature mortality. Findings were replicated in the Health and Retirement Study, supporting the robustness of the multidomain aging framework. This study highlights the potential of integrating objective and subjective aging indicators to refine risk assessments and inform interventions targeting aging-related diseases.

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客观和主观衰老与过早死亡的联合关系。
客观和主观衰老指标反映了不同的生物和社会心理过程,但它们与过早死亡的综合关系仍未得到充分探讨。本研究旨在探讨衰老指标的多域框架与过早死亡之间的关系,解决在理解累积效应方面的差距。我们纳入了369741名英国生物银行参与者,他们最初没有心血管疾病(CVD)和癌症,随访至2022年12月31日。统计了听力损失、牙齿脱落、跌倒和主观衰老这四个指标,并使用Cox比例风险模型分析了它们与全因和原因特异性过早死亡的联合关联。在中位13.74年的随访期间,我们记录了22934例过早死亡。与没有指标的参与者相比,具有所有指标的参与者的全因、心血管疾病、癌症和其他原因过早死亡的风险分别高出81% (95%CI: 59-107%)、96%(47-160%)、55%(26-91%)和114%(73-165%)。这种关联在年轻的参与者、生活方式不健康的参与者和社会经济地位较低的参与者中尤其明显
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