ArticleFrontiers in physiology2019
Cooper Test Provides Better Half-Marathon Performance Prediction in Recreational Runners Than Laboratory Tests.
Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Trial
- A Systematic Review of the Factors Associated with Performance in Non-Elite Runners.Journal of functional morphology and kinesiology · 2026Review
- Cooper's 12 Minute Run Systematically Underestimates VOInternational journal of exercise science · 2026Article
- Smartwatch-Derived VO2max Prediction Model for Korean Adults: Utilizing Heart Rate and GPS Data from the 12-Minute Cooper Test.Healthcare (Basel, Switzerland) · 2025Article
- Accuracy of smartwatches in predicting distance running performance.Frontiers in sports and active living · 2025Article
- Bridging the gap: aligning physical work capacity testing with actual endurance performance in military settings.Frontiers in psychology · 2025Article
- Prediction of half-marathon performance of male recreational marathon runners using nomogram.BMC sports science, medicine & rehabilitation · 2024Article
- Participation and performance characteristics in half-marathon run: a brief narrative review.Journal of muscle research and cell motility · 2023Review
- Predictors of half-marathon performance in male recreational athletes.EXCLI journal · 2023Article
- Effect of body composition on the athletic performance of soccer referees.Journal of nutritional science · 2023Article
- Article
- Augmented Cooper test: Biomechanical contributions to endurance performance.Frontiers in sports and active living · 2022Article
- Relationship between Biological, Training, and Physical Fitness Variables in the Expression of Performance in Non-Professional Runners.Sports (Basel, Switzerland) · 2021Article
- Sleep Quality and Performance in Professional Athletes Fasting during the Month of Ramadan.International journal of environmental research and public health · 2021Article
- Predictive Performance Models in Long-Distance Runners: A Narrative Review.International journal of environmental research and public health · 2020Review
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study compared the ability to predict performance in half-marathon races through physiological variables obtained in a laboratory test and performance variables obtained in the Cooper field test. Twenty-three participants (age: 41.6 ± 7.6 years, weight: 70.4 ± 8.1 kg, and height: 172.5 ± 6.3 cm) underwent body composition assessment and performed a maximum incremental graded exercise laboratory test to evaluate maximum aerobic power and associated cardiorespiratory and metabolic variables. Cooper's original protocol was performed on an athletic track and the variables recorded were covered distance, rating of perceived exertion, and maximum heart rate. The week following the Cooper test, all participants completed a half-marathon race at the maximum possible speed. The associations between the laboratory and field tests and the final time of the test were used to select the predictive variables included in a stepwise multiple regression analysis, which used the race time in the half marathon as the dependent variable and the laboratory variables or field tests as independent variables. Subsequently, a concordance analysis was carried out between the estimated and actual times through the Bland-Altman procedure. Significant correlations were found between the time in the half marathon and the distance in the Cooper test (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.