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Exercise Capacity and Risk of Death Across the Age Spectrum in 750,302 Male and Female US Veterans

38 Pages Posted: 21 Sep 2021

See all articles by Peter Kokkinos

Peter Kokkinos

Government of the United States of America - Cardiology Division

Charles Faselis

George Washington University

Immanuel Babu Henry Samuel

Government of the United States of America - Veterans Affairs Medical Center (VAMC)

Michael Doumas

Government of the United States of America - Veterans Affairs Medical Center (VAMC)

Andreas Pittaras

Government of the United States of America - Veterans Affairs Medical Center (VAMC)

Jiajia Zhang

University of South Carolina - SC SmartState Center for Healthcare Quality (CHQ)

Xuemei Sui

University of South Carolina

Jonathan Myers

Government of the United States of America - Veterans Affairs Palo Alto Health Care System

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Abstract

Background: Most studies that have evaluated the association between exercise capacity and the risk of all-cause mortality have focused on middle-aged Caucasian populations. We assessed the risk associated with fitness in male and female participants 30-95 years of age and of different ethnicities. 

Methods:In this retrospective cohort study, we included male and female US Veterans who completed an exercise treadmill test (ETT) between 1999-2020. We assigned participants to one of ten age-specific fitness categories (deciles) based on peak metabolic equivalents (METs) achieved during the ETT. The primary endpoint was all-cause mortality assessed from Veterans Affairs medical records up to Dec 31, 2020. We compared fitness categories with Cox proportional hazard model adjusted for age, body-mass index, ethnic origin, sex, cardiovascular disease, cardiovascular risk factors and medications.

Findings: We assessed 750,302 US male and female US Veterans nationwide, ages 30-95 years (mean age 61.3 years, SD 9.8 years).  During a median follow-up of 9.8 years (IQR 5.6-14.0), 164,288 died with an average yearly mortality rate of 22 deaths per1,000 person-years. The association between cardiorespiratory fitness (CRF) and mortality risk was independent, inverse, and graded for all ages, ethnicities, and gender. Compared to the least fit group within each age category, mortality risk was 50% lower at peak exercise capacities of approximately 10.0 METs for those 30-49 years, 8.0 METs for septuagenarians, and 7.0 METs for octogenarians. The lowest mortality risk was observed at approximately 14.0 METs with no additional decline or increase in risk beyond this level. Being unfit, defined having exercise capacity below the median (<8.5 METs), was associated with >2 times higher mortality risk compared to being fit (≥8.5 METs), and was higher than the risk of the traditional cardiac risk factors examined.

Interpretation: Higher CRF is independently associated with lower mortality risk for all ages, ethnicities, and gender. Exercise capacity <8.5 METs carried a greater risk than that of the traditional cardiac risk factors. Approximately 50% lower risk was noted in all age categories, commensurate to an exercise capacity achievable by most individuals within a given age category.

Funding: None to declare.

Declaration of Interest: None to declare.

Ethical Approval: This paper was approved by The Veterans Affairs Medical Center, Washington, DC, USA

Keywords: Fitness, Elderly, Mortality

Suggested Citation

Kokkinos, Peter and Faselis, Charles and Samuel, Immanuel Babu Henry and Doumas, Michael and Pittaras, Andreas and Zhang, Jiajia and Sui, Xuemei and Myers, Jonathan, Exercise Capacity and Risk of Death Across the Age Spectrum in 750,302 Male and Female US Veterans. Available at SSRN: https://ssrn.com/abstract=3924196 or http://dx.doi.org/10.2139/ssrn.3924196

Peter Kokkinos (Contact Author)

Government of the United States of America - Cardiology Division ( email )

50 Irving Street NW
Washington, DC 20422
United States

Charles Faselis

George Washington University ( email )

2121 I Street NW
Washington, DC 20052
United States

Immanuel Babu Henry Samuel

Government of the United States of America - Veterans Affairs Medical Center (VAMC) ( email )

Providence, RI
United States

Michael Doumas

Government of the United States of America - Veterans Affairs Medical Center (VAMC) ( email )

Providence, RI
United States

Andreas Pittaras

Government of the United States of America - Veterans Affairs Medical Center (VAMC) ( email )

Providence, RI
United States

Jiajia Zhang

University of South Carolina - SC SmartState Center for Healthcare Quality (CHQ)

Columbia, SC
United States

Xuemei Sui

University of South Carolina

701 Main Street
Columbia, SC 29208
United States

Jonathan Myers

Government of the United States of America - Veterans Affairs Palo Alto Health Care System

Palo Alto, CA
United States

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