ArticleSpringerPlus2014
Prediction of half-marathon race time in recreational female and male runners.
Article in SpringerPlus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Is There Evidence for the Development of Sex-Specific Guidelines for Ultramarathon Coaches and Athletes? A Systematic Review.Sports medicine - open · 2023Pooled it
- The design of the run Clever randomized trial: running volume, -intensity and running-related injuries.BMC musculoskeletal disorders · 2016Trial
- A Systematic Review of the Factors Associated with Performance in Non-Elite Runners.Journal of functional morphology and kinesiology · 2026Review
- Accuracy of smartwatches in predicting distance running performance.Frontiers in sports and active living · 2025Article
- Predictors of half-marathon performance in male recreational athletes.EXCLI journal · 2023Article
- The Energetic Costs of Uphill Locomotion in Trail Running: Physiological Consequences Due to Uphill Locomotion Pattern-A Feasibility Study.Life (Basel, Switzerland) · 2022Article
- Gender and Age Differences in Performance of Over 70,000 Chinese Finishers in the Half- and Full-Marathon Events.International journal of environmental research and public health · 2022Article
- Predictive Performance Models in Long-Distance Runners: A Narrative Review.International journal of environmental research and public health · 2020Review
- Physiological Predictors of Performance on the CrossFit "Murph" Challenge.Sports (Basel, Switzerland) · 2020Article
- Factors Affecting Training and Physical Performance in Recreational Endurance Runners.Sports (Basel, Switzerland) · 2020Review
- Inter-Individual Different Responses to Continuous and Interval Training in Recreational Middle-Aged Women Runners.Frontiers in physiology · 2020Article
- Predicting Competition Performance in Short Trail Running Races with Lactate Thresholds.Journal of human kinetics · 2019Article
- Different Predictor Variables for Women and Men in Ultra-Marathon Running-The Wellington Urban Ultramarathon 2018.International journal of environmental research and public health · 2019Article
- Cooper Test Provides Better Half-Marathon Performance Prediction in Recreational Runners Than Laboratory Tests.Frontiers in physiology · 2019Article
- Commentary: Emotional intelligence impact on half marathon finish times.Frontiers in psychology · 2018Article
- Predictive Variables of Half-Marathon Performance for Male Runners.Journal of sports science & medicine · 2017Article
- Secular Trend in Thinness Prevalence for 26 Years (1989 - 2014) among High School Runners in Japan.Asian journal of sports medicine · 2016Article
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Half-marathon running is of high popularity. Recent studies tried to find predictor variables for half-marathon race time for recreational female and male runners and to present equations to predict race time. The actual equations included running speed during training for both women and men as training variable but midaxillary skinfold for women and body mass index for men as anthropometric variable. An actual study found that percent body fat and running speed during training sessions were the best predictor variables for half-marathon race times in both women and men. The aim of the present study was to improve the existing equations to predict half-marathon race time in a larger sample of male and female half-marathoners by using percent body fat and running speed during training sessions as predictor variables. In a sample of 147 men and 83 women, multiple linear regression analysis including percent body fat and running speed during training units as independent variables and race time as dependent variable were performed and an equation was evolved to predict half-marathon race time. For men, half-marathon race time might be predicted by the equation (r(2) = 0.42, adjusted r(2) = 0.41, SE = 13.3) half-marathon race time (min) = 142.7 + 1.158 × percent body fat (%) - 5.223 × running speed during training (km/h). The predicted race time correlated highly significantly (r = 0.71, p < 0.0001) to the achieved race time. For women, half-marathon race time might be predicted by the equation (r(2) = 0.68, adjusted r(2) = 0.68, SE = 9.8) race time (min) = 168.7 + 1.077 × percent body fat (%) - 7.556 × running speed during training (km/h). The predicted race time correlated highly significantly (r = 0.89, p < 0.0001) to the achieved race time. The coefficients of determination of the models were slightly higher than for the existing equations. Future studies might include physiological variables to increase the coefficients of determination of the models.
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