Accelerated aging mediates the associations of unhealthy lifestyles with cardiovascular disease, cancer, and mortality

Author:

Li Xueqin1,Cao Xingqi1,Zhang Jingyun1,Fu Jinjing1,Mohedaner Mayila1,Danzengzhuoga 1,Sun Xiaoyi1,Yang Gan1,Yang Zhenqing1,Kuo Chia‐Ling2,Chen Xi34,Cohen Alan A.56,Liu Zuyun1

Affiliation:

1. Center for Clinical Big Data and Analytics Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province Zhejiang University School of Medicine Hangzhou China

2. Department of Community Medicine and Health Care, Connecticut Convergence Institute for Translation in Regenerative Engineering, Institute for Systems Genomics University of Connecticut Health Farmington Connecticut USA

3. Department of Health Policy and Management Yale School of Public Health New Haven Connecticut USA

4. Department of Economics Yale University New Haven Connecticut USA

5. Department of Family Medicine, Research Centre on Aging, CHUS Research Centre University of Sherbrooke Sherbrooke Quebec Canada

6. Butler Columbia Aging Center and Department of Environmental Health Sciences, Mailman School of Public Health Columbia University New York New York USA

Abstract

AbstractBackgroundWith two well‐validated aging measures capturing mortality and morbidity risk, this study examined whether and to what extent aging mediates the associations of unhealthy lifestyles with adverse health outcomes.MethodsData were from 405,944 adults (40–69 years) from UK Biobank (UKB) and 9972 adults (20–84 years) from the US National Health and Nutrition Examination Survey (NHANES). An unhealthy lifestyles score (range: 0–5) was constructed based on five factors (smoking, drinking, physical inactivity, unhealthy body mass index, and unhealthy diet). Two aging measures, Phenotypic Age Acceleration (PhenoAgeAccel) and Biological Age Acceleration (BioAgeAccel) were calculated using nine and seven blood biomarkers, respectively, with a higher value indicating the acceleration of aging. The outcomes included incident cardiovascular disease (CVD), incident cancer, and all‐cause mortality in UKB; CVD mortality, cancer mortality, and all‐cause mortality in NHANES. A general linear regression model, Cox proportional hazards model, and formal mediation analysis were performed.ResultsThe unhealthy lifestyles score was positively associated with PhenoAgeAccel (UKB: β = 0.741; NHANES: β = 0.874, all p < 0.001). We further confirmed the respective associations of PhenoAgeAccel and unhealthy lifestyles with the outcomes in UKB and NHANES. The mediation proportion of PhenoAgeAccel in associations of unhealthy lifestyles with incident CVD, incident cancer, and all‐cause mortality were 20.0%, 17.8%, and 26.6% (all p < 0.001) in UKB, respectively. Similar results were found in NHANES. The findings were robust when using another aging measure—BioAgeAccel.ConclusionsAccelerated aging partially mediated the associations of lifestyles with CVD, cancer, and mortality in UK and US populations. The findings reveal a novel pathway and the potential of geroprotective programs in mitigating health inequality in late life beyond lifestyle interventions.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Key Research and Development Program of Zhejiang Province

National Institute on Aging

Publisher

Wiley

Subject

Geriatrics and Gerontology

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