ArticleAsian journal of sports medicine2010
Is body fat a predictor of race time in female long-distance inline skaters?
Article in Asian journal of sports medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Relationship of anthropometric and training characteristics with race performance in endurance and ultra-endurance athletes.Asian journal of sports medicine · 2014Article
- Age and gender difference in non-drafting ultra-endurance cycling performance - the 'Swiss Cycling Marathon'.Extreme physiology & medicine · 2013Article
- Age group athletes in inline skating: decrease in overall and increase in master athlete participation in the longest inline skating race in Europe - the Inline One-Eleven.International journal of general medicine · 2013Article
- Predictor variables for marathon race time in recreational female runners.Asian journal of sports medicine · 2012Article
- Anthropometric and hemodynamic profiles of athletes and their relevance to performance in the mount cameroon race of hope.Asian journal of sports medicine · 2012Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to evaluate predictor variables of race time in female ultra-endurance inliners in the longest inline race in Europe.
methodsWe investigated the association between anthropometric and training characteristics and race time for 16 female ultra-endurance inline skaters, at the longest inline marathon in Europe, the 'Inline One-eleven' over 111 km in Switzerland, using bi- and multivariate analysis.
resultsThe mean (SD) race time was 289.7 (54.6) min. The bivariate analysis showed that body height (r=0.61), length of leg (r=0.61), number of weekly inline skating training sessions (r=-0.51) and duration of each training unit (r=0.61) were significantly correlated with race time. Stepwise multiple regressions revealed that body height, duration of each training unit, and age were the best variables to predict race time.
conclusionRace time in ultra-endurance inline races such as the 'Inline One-eleven' over 111 km might be predicted by the following equation (r(2)=0.65): Race time (min)=-691.62+521.71 (body height, m)+0.58 (duration of each training unit, min)+1.78 (age, yrs) for female ultra-endurance inline skaters.
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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 Socratic graph.