Cited by 2,486Cardiovascular and exercise physiologyPhysical Activity and HealthCardiovascular Health and Risk Factors

Importance of Assessing Cardiorespiratory Fitness in Clinical Practice: A Case for Fitness as a Clinical Vital Sign: A Scientific Statement From the American Heart Association

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Ross, Robert, Blair, Steven N., Arena, Ross, Church, Timothy S., Després, Jean-Pierre, Franklin, Barry A., Haskell, William L., Kaminsky, Leonard A. +8 more·2016·Circulation

Abstract

Mounting evidence has firmly established that low levels of cardiorespiratory fitness (CRF) are associated with a high risk of cardiovascular disease, all-cause mortality, and mortality rates attributable to various cancers. A growing body of epidemiological and clinical evidence demonstrates not only that CRF is a potentially stronger predictor of mortality than established risk factors such as smoking, hypertension, high cholesterol, and type 2 diabetes mellitus, but that the addition of CRF to traditional risk factors significantly improves the reclassification of risk for adverse outcomes. The purpose of this statement is to review current knowledge related to the association between CRF and health outcomes, increase awareness of the added value of CRF to improve risk prediction, and suggest future directions in research. Although the statement is not intended to be a comprehensive review, critical references that address important advances in the field are highlighted. The underlying premise of this statement is that the addition of CRF for risk classification presents health professionals with unique opportunities to improve patient management and to encourage lifestyle-based strategies designed to reduce cardiovascular risk. These opportunities must be realized to optimize the prevention and treatment of cardiovascular disease and hence meet the American Heart Association’s 2020 goals.

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  1. [10]10. Bouchard C, An P, Rice T, Skinner JS, Wilmore JH, Gagnon J, Pérusse L, Leon AS, Rao DC. Familial aggregation of VO(2max) response to exercise training: results from the HERITAGE Family Study. J Appl Physiol (1985) . 1999;87:1003-1008.
  2. [15]15. dictors of mortality among men with diabetes. Diabetes Care . 2004;27:83-88.
  3. [96]96. Gander JC. Prediction of Coronary Heart Disease Within the Aerobics Center Longitudinal Study Population [dissertation]. Columbia, SC: University of South Carolina; 2014.
  4. [113]113. Palmer TD, Willhoite AR, Gage FH. Vascular niche for adult hippocampal neurogenesis. J Comp Neurol . 2000;425:479-494.
  5. [165]165. Storer TW, Davis JA, Caiozzo VJ. Accurate prediction of Vo 2max in cycle ergometry. Med Sci Sports Exerc . 1990;22:704-712.
  6. [166]166. Kline GM, Porcari JP, Hintermeister R, Freedson PS, Ward A, McCarron RF, Ross J, Rippe JM. Estimation of Vo 2max from a onemile track walk, gender, age, and body weight. Med Sci Sports Exerc . 1987;19:253-259.
  7. [171]171. Maranhão Neto GdA, Lourenço PMC, Farinatti PdTV. Prediction of aerobic fitness without stress testing and applicability to epidemiological studies: a systematic review [in Portuguese]. Cad Saude Publica . 2004;20:48-56.
  8. [189]189. Cao ZB, Miyatake N, Higuchi M, Miyachi M, Tabata I. Predicting Vo 2max with an objectively measured physical activity in Japanese men. Eur J Appl Physiol . 2010;109:465-472. doi: 10.1007/ s00421-010-1376-z.
  9. [211]211. Christensen EH. Bertage zur physiologie schwerer koperlicher Arbiet. IV, Mitteilung Die Pulzfrequenz wahrend und unmittelbar nach schwerer korperlicher Arbeit. Arbeitsphysiologie . 1931;4:453-469.
  10. [251]251. Nakahara H, Ueda SY, Miyamoto T. Low-frequency severeintensity interval training improves cardiorespiratory functions. Med Sci Sports Exerc . 2015;47:789-798. doi: 10.1249/ MSS.0000000000000477.

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Authors
Ross, R., Blair, S. N., Arena, R., Church, T. S., Després, J.-P., Franklin, B. A., Haskell, W. L., Kaminsky, L. A., Levine, B. D., Lavie, C. J., Myers, J., Niebauer, J., Sallis, R., Sawada, S. S., Sui, X., & Wisløff, U.
Venue
Circulation
Published
2016-12-13
Volume
134
Issue
24
Pages
e653-e699
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2555189237
Cited by
2,486
References
308
Citations by year
2026: 298 · 2025: 294 · 2024: 344 · 2023: 302 · 2022: 289 · 2021: 282 · 2020: 229 · 2019: 202 · 2018: 164 · 2017: 74 · 2016: 4 · 2015: 1 · 2014: 1
FWCI
304.38
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Circulation (publishedVersion, other-oa)
  • PubMed (publishedVersion)
Funders
U.S. Department of Veterans Affairs (I01 RX000344, IK6 RX002477)
Topics
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
cardiorespiratory fitness, cardiovascular risk prediction, mortality risk, cardiovascular disease prevention, risk reclassification, all-cause mortality, cancer mortality, cardiovascular risk management
MeSH terms
Cardiorespiratory Fitness, Cardiovascular Diseases, Humans, Metabolic Diseases, Oxygen Consumption, Risk Factors, Exercise, Metabolic Equivalent

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