The DOI matches its Crossref record; 30 of the 31 references it cites were found in a registry or an index.
Estimating V˙O2peak from a Nonexercise Prediction Model: The HUNT Study, Norway
Abstract
PURPOSE: Cardiorespiratory fitness is suggested to be an important marker of cardiovascular risk but is rarely evaluated in health care settings. In the present study, directly measured peak oxygen uptake (V·O 2peak) from a diverse population of 4637 healthy participants were used to develop and cross-validate a new nonexercise regression model of cardiorespiratory fitness for men and women. METHODS AND RESULTS: Multivariable regression analysis was used to develop a nonexercise model of cardiorespiratory fitness for men and women separately with V·O 2peak as the outcome. In the final models, 2067 men (mean age = 48.8 yr) and 2193 women (mean age = 47.9 yr) were included, respectively. Cross-validation of the models was done by standard data splitting procedures with evaluation of constant error and total error of a model developed on one sample and cross-validated on another sample. Age, waist circumference, leisure time physical activity, and resting HR, successively, were the most potent predictors of V·O 2peak for both men and women. Together, 61% and 56% of variance in V·O 2peak, for men and women, respectively, were explained by the full models. SEE was 5.70 and 5.14 for the models including men and women, respectively. CONCLUSIONS: The nonexercise regression model developed in the present study was fairly accurate in predicting V·O 2peak in this healthy population of men and women. The model might be generalized to other healthy populations and might be a valid tool for a rough assessment of cardiorespiratory fitness in an outpatient setting.
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“The HUNT study tool consists of a model that gives a rough assessment of cardiorespiratory fitness in an outpatient setting.107”
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“Exercise capacity could be roughly estimated on the basis of the remote consultation with a physical therapist, physical activity questionnaires or non-exercise prediction models such as an assessment tool derived from the HUNT study.107”
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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
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Metadata
- Authors
- NES, B. M., JANSZKY, I., VATTEN, L. J., NILSEN, T. I. L., ASPENES, S. T., & WISLØFF, U.
- Affiliations
- Norwegian University of Science and Technology (NO)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2011-11
- Volume
- 43
- Issue
- 11
- Pages
- 2024-2030
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2024367100
- Cited by
- 219
- References
- 31
- Citations by year
- 2026: 18 · 2025: 17 · 2024: 28 · 2023: 23 · 2022: 35 · 2021: 18 · 2020: 18 · 2019: 22 · 2018: 7 · 2017: 7 · 2016: 11 · 2015: 7 · 2014: 5 · 2012: 3
- FWCI
- 6.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Occupational Health and Performance
- Keywords
- peak oxygen uptake, cardiorespiratory fitness, regression models, cross-validation, waist circumference, leisure-time physical activity, resting heart rate, age, cardiovascular risk, healthy adults
- MeSH terms
- Adult, Exercise Test, Female, Forecasting, Humans, Male, Middle Aged, Models, Theoretical, Norway, Oxygen Consumption, Physical Fitness, Surveys and Questionnaires, Regression Analysis
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