ArticleAsian journal of sports medicine2012
Predictor variables for marathon race time in recreational female runners.
Article in Asian journal of sports medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Temperature-driven modulation of factors influencing full-Marathon time in male recreational runners.Physiological reports · 2026Article
- A Systematic Review of the Factors Associated with Performance in Non-Elite Runners.Journal of functional morphology and kinesiology · 2026Review
- Pre-Season Energy Deficiency Predicts Poorer Performance During a Competitive Season in Collegiate Female Long-Distance Runners.European journal of sport science · 2025Article
- Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners.User modeling and user-adapted interaction · 2022Article
- Physiological and Race Pace Characteristics of Medium and Low-Level Athens Marathon Runners.Sports (Basel, Switzerland) · 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
- A Brief Review of Personality in Marathon Runners: The Role of Sex, Age and Performance Level.Sports (Basel, Switzerland) · 2018Review
- Age-Predicted Maximal Heart Rate in Recreational Marathon Runners: A Cross-Sectional Study on Fox's and Tanaka's Equations.Frontiers in physiology · 2018Article
- Pacing Strategies in the 'Athens Classic Marathon': Physiological and Psychological Aspects.Frontiers in physiology · 2018Article
- Secular Trend in Thinness Prevalence for 26 Years (1989 - 2014) among High School Runners in Japan.Asian journal of sports medicine · 2016Article
- An empirical study of race times in recreational endurance runners.BMC sports science, medicine & rehabilitation · 2016Article
- Article
- Relationship of anthropometric and training characteristics with race performance in endurance and ultra-endurance athletes.Asian journal of sports medicine · 2014Article
- A Comparison of Anthropometric and Training Characteristics between Female and Male Half-Marathoners and the Relationship to Race Time.Asian journal of sports medicine · 2014Article
- Article
- Age and gender difference in non-drafting ultra-endurance cycling performance - the 'Swiss Cycling Marathon'.Extreme physiology & medicine · 2013Article
- Performance and age of African and non-African runners in half- and full marathons held in Switzerland, 2000-2010.Open access journal of sports medicine · 2013Article
- Reduced performance difference between sexes in master mountain and city marathon running.International journal of general medicine · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe intended to determine predictor variables of anthropometry and training for marathon race time in recreational female runners in order to predict marathon race time for future novice female runners.
methodsAnthropometric characteristics such as body mass, body height, body mass index, circumferences of limbs, thicknesses of skin-folds and body fat as well as training variables such as volume and speed in running training were related to marathon race time using bi- and multi-variate analysis in 29 female runners.
resultsThe marathoners completed the marathon distance within 251 (26) min, running at a speed of 10.2 (1.1) km/h. Body mass (r=0.37), body mass index (r=0.46), the circumferences of thigh (r=0.51) and calf (r=0.41), the skin-fold thicknesses of front thigh (r=0.38) and of medial calf (r=0.40), the sum of eight skin-folds (r=0.44) and body fat percentage (r=0.41) were related to marathon race time. For the variables of training, maximal distance ran per week (r=- 0.38), number of running training sessions per week (r=- 0.46) and the speed of the training sessions (r= - 0.60) were related to marathon race time. In the multi-variate analysis, the circumference of calf (P=0.02) and the speed of the training sessions (P=0.0014) were related to marathon race time. Marathon race time might be partially (r(2)=0.50) predicted by the following equation: Race time (min)=184.4 + 5.0 x (circumference calf, cm) -11.9 x (speed in running during training, km/h) for recreational female marathoners.
conclusionsVariables of both anthropometry and training were related to marathon race time in recreational female marathoners and cannot be reduced to one single predictor variable. For practical applications, a low circumference of calf and a high running speed in training are associated with a fast marathon race time in recreational female runners.
Indexed as
Identifiers
What OpenQuestion holds
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.