ArticleJournal of human sport and exercise2020
Predictors of long-distance race performance in master runners.
Article in Journal of human sport and exercise, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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
4 citing papers in PubMed.
- Article
- The Sex Difference in 6-h Ultra-Marathon Running-The Worldwide Trends from 1982 to 2020.Medicina (Kaunas, Lithuania) · 2022Article
- Discriminant Analysis of Anthropometric and Training Variables among Runners of Different Competitive Levels.International journal of environmental research and public health · 2021Article
- Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Peak aerobic power (V Purpose: To determine predictors of temperature-converted VDOT in master runners training for a long-distance race (10-26.2 mi). Methods: Twenty-three master runners (age 57±9 years; eight females) performed treadmill marathon-intensity-effort (MIE) and V Results: Converted VDOT was significantly associated with three-year peak weekly training distance (3YP) (r = 0.454, p = .039), V Conclusion: Physiological and training factors are related to race performance in master runners. The best predictors of VDOT are V
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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.