A simple nonexercise model of cardiorespiratory fitness predicts long-term mortality
Abstract
PURPOSE: Cardiorespiratory fitness (CRF) is a strong predictor of future health, but measurements of CRF are time consuming and involve costly test procedures. We assessed whether a simple, non-exercise-based test of CRF predicted long-term all-cause and cardiovascular disease (CVD) mortality. METHODS: In this prospective cohort study, we used a previously published nonexercise test to estimate CRF in healthy men (n = 18,348) and women (n = 18,764) from the first HUNT study (1984-1986) in Norway. We used Cox regression to obtain HR for mortality during a mean follow-up of 24 yr. Assessment of model validity was performed by standard procedures of discrimination and calibration. RESULTS: CRF was inversely associated with all-cause and CVD mortality in men and women below 60 yr of age at baseline, after adjustment for confounders. For each MET-higher CRF (MET, approximately 3.5 mL·kg·min), HR for CVD mortality was 21% lower in both men (95% confidence interval (CI), 17%-26%) and women (95% CI, 12%-29%). HR for all-cause mortality was 15% (95% CI, 12%-17%) lower in men and 8% (95% CI, 3%-3%) lower in women for each MET-higher CRF. The ability of the model to discriminate mortality risk among participants below 60 yr was better for CRF (area under the curve (AUC), 0.70-0.77) compared with that for each variable that constituted the model (AUC, 0.55-0.63) and an aggregated sum of z-scores for each variable (AUC, 0.61-0.65). Comparison of observed and predicted risk indicated good model calibration. CONCLUSIONS: This method of assessing CRF is feasible and practically useful in primary care for identification of apparently healthy individuals at increased risk of premature CVD disease and all-cause mortality.
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In the present study, questionnaires seem to be suitable tools to assess moderate and high intensities of physical activity.
“Thus, in the present study, questionnaires seem to be suitable tools to assess moderate and high intensities of physical activity.”
From Effect of exercise training for five years on all cause mortality in older adults—the Generation 100 study: randomised controlled trial (2020) · cites this paper as [23]
Observational studies have shown that even a 1 mL/kg/min increase in peak oxygen uptake has been associated with a substantial impact on survival and incidence of fatal and non-fatal coronary heart disease.
“Observational studies have shown that even a 1 mL/kg/min increase in peak oxygen uptake has been associated with a substantial impact on survival23 38 39 40 and incidence of fatal and non-fatal coronary heart disease.41”
From Effect of exercise training for five years on all cause mortality in older adults—the Generation 100 study: randomised controlled trial (2020) · cites this paper as [23]
In numerous studies the present physical activity questions have shown sensitivity to predict current and future cardiovascular health.
“Importantly, in numerous studies5 23 the present physical activity questions have shown sensitivity to predict current and future cardiovascular health.”
From Effect of exercise training for five years on all cause mortality in older adults—the Generation 100 study: randomised controlled trial (2020) · cites this paper as [23]
There is a 21% lower risk of mortality for every 1-MET increase in cardiorespiratory fitness in both sexes.
“Nes et al. [47] reported a 21% lower risk of mortality for every 1-MET increase in CRF in both sexes”
From Global consensus on optimal exercise recommendations for enhancing healthy longevity in older adults (ICFSR) (2025) · cites this paper as [47]
Cites
European Guidelines on cardiovascular disease prevention in clinical practice (version 2012)
Authors/Task Force Members:, Perk, J., De Backer, G., Gohlke, H., Graham, I., Reiner, Ž., Verschuren, M., Albus, C., Benlian, P., Boysen, G., et al. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs092 · Cited by 8,490 · see citing works
General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study
D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008) · Circulation · doi:10.1161/circulationaha.107.699579 · Cited by 7,491 · see citing works
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project
Conroy, R. (2003) · European Heart Journal · doi:10.1016/s0195-668x(03)00114-3 · Cited by 5,290 · see citing works
Exercise capacity and mortality among men referred for exercise testing
Myers, J., Prakash, M., Froelicher, V., Do, D., Partington, S., & Atwood, J. E. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa011858 · Cited by 4,114 · see citing works
European guidelines on cardiovascular disease prevention in clinical practice: executive summary
Graham, I., Atar, D., Borch‐Johnsen, K., Boysen, G., Burell, G. K., Cífková, R., Dallongeville, J., Backer, G. D., Ebrahim, S. B. J., Gjelsvik, B., et al. (2007) · European Heart Journal · doi:10.1093/eurheartj/ehm316 · Cited by 3,840 · see citing works
Sick individuals and sick populations
Rose, G. (2001) · International Journal of Epidemiology · doi:10.1093/ije/30.3.427 · Cited by 3,736 · see citing works
Kodama, S. (2009) · JAMA · doi:10.1001/jama.2009.681 · Cited by 3,035 · see citing works
Criteria for Evaluation of Novel Markers of Cardiovascular Risk
Hlatky, M., Greenland, P., Arnett, D., Ballantyne, C., Criqui, M., Elkind, M., Go, A., Harrell, F. E. J., Hong, Y.-L., Howard, B., et al. (2009) · Circulation · doi:10.1161/circulationaha.109.192278 · Cited by 1,153 · see citing works
Cohort Profile: The HUNT Study, Norway
Krokstad, S., Langhammer, A., Hveem, K., Holmen, T., Midthjell, K., Stene, T., Bratberg, G., Heggland, J., & Holmen, J. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dys095 · Cited by 1,127 · see citing works
Prediction of functional aerobic capacity without exercise testing
Jackson, A. S., Blair, S. N., Mahar, M. T., Wier, L. T., Ross, R., & STUTEVILLE, J. E. (1990) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199012000-00021 · Cited by 643 · see citing works
Lee, D.-C., Sui, X., Artero, E. G., Lee, I.-M., Church, T. S., McAuley, P. A., Stanford, F. C., Kohl, H. W., & Blair, S. N. (2011) · Circulation · doi:10.1161/circulationaha.111.038422 · Cited by 572 · see citing works
The Nord-Trøndelag Health Study 1995-97 (HUNT 2): Objectives, contents, methods and participation
Holmen, J., Midthjell, K., Krüger, Ø., Langhammer, A., Holmen, T. L., Bratberg, G. H., Vatten, L., & Lund‐Larsen, P. G. (2003) · Cited by 526 · see citing works
Self-citationExercise capacity and body composition as predictors of mortality among men with diabetes
Church, T. S., Cheng, Y. J., Earnest, C. P., Barlow, C. E., Gibbons, L. W., Priest, E. L., & Blair, S. N. (2004) · Diabetes Care · doi:10.2337/diacare.27.1.83 · Cited by 469 · see citing works
Brindle, P., Beswick, A. D., Fahey, T. P., & Ebrahim, S. B. J. (2006) · Heart · doi:10.1136/hrt.2006.087932 · Cited by 453 · see citing works
Lee, D.-C., Sui, X., Ortega, F. B., Kim, Y.-S., Church, T. S., Winett, R. A., Ekelund, U., Katzmarzyk, P. T., & Blair, S. N. (2010) · British Journal of Sports Medicine · doi:10.1136/bjsm.2009.066209 · Cited by 435 · see citing works
Katzmarzyk, P. T., Church, T. S., & Blair, S. N. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.10.1092 · Cited by 408 · see citing works
The Prognostic Value of a Nomogram for Exercise Capacity in Women
Gulati, M., Black, H. R., Shaw, L. J., Arnsdorf, M. F., Merz, C. N. B., Lauer, M. S., Marwick, T. H., Pandey, D. K., Wicklund, R. H., & Thisted, R. A. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa044154 · Cited by 403 · see citing works
Assessing Cardiorespiratory Fitness Without Performing Exercise Testing
Jurča, R., Jackson, A. S., LaMonte, M. J., Morrow, J. R., Blair, S. N., Wareham, N. J., Haskell, W. L., van Mechelen, W., Church, T. S., Jakicic, J. M., et al. (2005) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2005.06.004 · Cited by 398 · see citing works
Greenland, P., Daviglus, M. L., Dyer, A. R., Liu, K., Huang, C., Goldberger, J. J., & Stamler, J. F. (1999) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009901 · Cited by 319 · see citing works
THE PROGNOSTIC VALUE OF A NOMOGRAM FOR EXERCISE CAPACITY IN WOMEN
Tiukinhoy, S. (2005) · Journal of Cardiopulmonary Rehabilitation · doi:10.1097/00008483-200511000-00013 · Cited by 319 · see citing works
Laukkanen, J. A., Kurl, S., Salonen, R. M., Rauramaa, R., & Salonen, J. (2004) · European Heart Journal · doi:10.1016/j.ehj.2004.06.013 · Cited by 282 · see citing works
Peak Oxygen Uptake and Cardiovascular Risk Factors in 4631 Healthy Women and Men
ASPENES, S. T., NILSEN, T. I. L., SKAUG, E.-A., BERTHEUSSEN, G. F., ELLINGSEN, Ø., VATTEN, L., & WISLØFF, U. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31820ca81c · Cited by 278 · see citing works
Self-citationCardiorespiratory Fitness and Classification of Risk of Cardiovascular Disease Mortality
Gupta, S. K., Rohatgi, A. K., Ayers, C. R., Willis, B. L., Haskell, W. L., Khera, A., Drazner, M. H., de Lemos, J. A., & Berry, J. D. (2011) · Circulation · doi:10.1161/circulationaha.110.003236 · Cited by 236 · see citing works
Estimating V˙O2peak from a Nonexercise Prediction Model: The HUNT Study, Norway
NES, B. M., JANSZKY, I., VATTEN, L. J., NILSEN, T. I. L., ASPENES, S. T., & WISLØFF, U. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31821d3f6f · Cited by 219 · see citing works
Temporal changes in resting heart rate and deaths from ischemic heart disease
Nauman, J., Janszky, I., Vatten, L. J., & Wisløff, U. (2011) · JAMA · doi:10.1001/jama.2011.1826 · Cited by 181 · see citing works
Self-citationResting heart rate as a low tech predictor of coronary events in women: prospective cohort study
Hsia, J. A., Larson, J. C., Ockene, J. K., Sarto, G. E., Allison, M., Hendrix, S. L., Robinson, J. G., LaCroix, A. Z., & Manson, J. E. (2009) · BMJ · doi:10.1136/bmj.b219 · Cited by 152 · see citing works
Stamatakis, E. A., Hamer, M., O’Donovan, G., Batty, G. D., & Mika Kivimaki, B. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs097 · Cited by 138 · see citing works
Church, T. S., Kampert, J. B., Gibbons, L. W., Barlow, C. E., & Blair, S. N. (2001) · The American Journal of Cardiology · doi:10.1016/s0002-9149(01)01808-2 · Cited by 133 · see citing works
Longitudinal Cardiorespiratory Fitness Algorithms for Clinical Settings
Jackson, A. S., Sui, X., O’Connor, D. P., Church, T. S., Lee, D.-C., Artero, E. G., & Blair, S. N. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.06.032 · Cited by 127 · see citing works
Okamura, T., Hayakawa, T., Kadowaki, T., Kita, Y., Okayama, A., Elliott, P., & Ueshima, H. (2004) · American Heart Journal · doi:10.1016/j.ahj.2003.12.020 · Cited by 119 · see citing works
Laukkanen, J. A., Rauramaa, R., Salonen, J. T., & Kurl, S. (2007) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2007.01807.x · Cited by 89 · see citing works
Kim, E. S. H., Ishwaran, H., Blackstone, E., & Lauer, M. S. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.08.003 · Cited by 77 · see citing works
Predicting V˙O2max with an Objectively Measured Physical Activity in Japanese Women
CAO, Z.-B., MIYATAKE, N., HIGUCHI, M., MIYACHI, M., ISHIKAWA-TAKATA, K., & TABATA, I. (2010) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181af238d · Cited by 76 · see citing works
Adiposity and physical activity as predictors of cardiovascular mortality
VATTEN, L. J., Nilsen, T. I. L., Romundstad, P., Drøyvold, W. B., & Holmen, J. (2006) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/01.hjr.0000239463.80390.52 · Cited by 55 · see citing works
Self-citationPrediction of VO2max with daily step counts for Japanese adult women
Cao, Z., Miyatake, N., Higuchi, M., Ishikawa‐Takata, K., Miyachi, M., & Tabata, I. (2008) · European Journal of Applied Physiology · doi:10.1007/s00421-008-0902-8 · Cited by 49 · see citing works
Physical Activity as a Long-Term Predictor of Peak Oxygen Uptake
Aspenes, S. T., Nauman, J., Nilsen, T. I. L., VATTEN, L. J., & Wisløff, U. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318216ea50 · Cited by 38 · see citing works
Self-citationLaukkanen, J. A., Rauramaa, R., & Kurl, S. (2008) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/hjr.0b013e3282f37a33 · Cited by 16 · see citing works
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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., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000461 · Cited by 2,486 · see citing works
Self-citationBerzigotti, A., Albillos, A., Villanueva, C., Genescá, J., Ardevol, A., Augustín, S., Calleja, J. L., Bañares, R., García‐Pagán, J. C., Mesonero, F., et al. (2017) · Hepatology · doi:10.1002/hep.28992 · Cited by 334 · see citing works
Izquierdo, M., de Souto Barreto, P., Arai, H., Bischoff-Ferrari, H. A., Cadore, E. L., Cesari, M., Chen, L.-K., Coen, P. M., Courneya, K. S., Duque, G., et al. (2025) · The Journal of nutrition, health and aging · doi:10.1016/j.jnha.2024.100401 · Cited by 273 · see citing works
Kandola, A., Ashdown-Franks, G., Stubbs, B., Osborn, D. P. J., & Hayes, J. F. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.07.088 · Cited by 172 · see citing works
Stensvold, D., Viken, H., Steinshamn, S. L., Dalen, H., Støylen, A., Loennechen, J. P., Reitlo, L. S., Zisko, N., Bækkerud, F. H., Tari, A. R., et al. (2020) · BMJ · doi:10.1136/bmj.m3485 · Cited by 154 · see citing works
Self-citationWilliams, C. J., Gurd, B. J., Bonafiglia, J. T., Voisin, S., Li, Z., Harvey, N., Croci, I., Taylor, J. L., Gajanand, T., Ramos, J. S., et al. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00019 · Cited by 117 · see citing works
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Self-citation
- Authors
- NES, B. M., VATTEN, L. J., NAUMAN, J., JANSZKY, I., & WISLØFF, U.
- Affiliations
- Norwegian University of Science and Technology (NO)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2014-06
- Volume
- 46
- Issue
- 6
- Pages
- 1159-1165
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2048356582
- Cited by
- 154
- References
- 37
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 16 · 2023: 10 · 2022: 18 · 2021: 13 · 2020: 21 · 2019: 19 · 2018: 10 · 2017: 8 · 2016: 10 · 2015: 8 · 2014: 2
- FWCI
- 20.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- 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 Effects of Exercise
- Keywords
- cardiorespiratory fitness, all-cause mortality, cardiovascular mortality, mortality prediction, primary care, healthy adults, HUNT study, risk discrimination and calibration
- MeSH terms
- Adult, Age Factors, Cardiovascular Diseases, Cardiovascular Physiological Phenomena, Female, Humans, Life Style, Male, Middle Aged, Mortality, Physical Examination, Physical Fitness, Prospective Studies, Surveys and Questionnaires, Respiration, Risk Assessment
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