ArticleSports medicine international open2018
Aerobic Variables for Prediction of Alpine Skiing Performance - A Novel Approach.
Article in Sports medicine international open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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
9 citing papers in PubMed, 24 citations in OpenAlex.
- The influence of lateral dominance on bilateral performance in alpine skiers.Frontiers in sports and active living · 2026Article
- International Ski and Snowboard Federation (FIS) consensus statement on training and testing in competitive alpine and freestyle skiers and snowboarders.BMJ open sport & exercise medicine · 2025Article
- Metabolic Phenotyping from Whole-Blood Responses to a Standardized Exercise Test May Discriminate for Physiological, Performance, and Illness Outcomes: A Pilot Study in Highly-Trained Cross-Country Skiers.Sports medicine - open · 2024Article
- Predicting competitive alpine skiing performance by multivariable statistics-the need for individual profiling.Frontiers in sports and active living · 2024Article
- Physiological responses and performance factors for double-poling and diagonal-stride treadmill roller-skiing time-trial exercise.European journal of applied physiology · 2023Article
- Article
- Lack of Predictive Power in Commonly Used Tests for Performance in Alpine Skiing.Sports medicine international open · 2021Article
- Comment on: "Revised Approach to the Role of Fatigue in Anterior Cruciate Ligament Injury Prevention: A Systematic Review with Meta-analyses".Sports medicine (Auckland, N.Z.) · 2019Article
- Preseason aerobic and anaerobic tests for prediction of alpine skiing performance: a molecular perspective.BMJ open sport & exercise medicine · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to investigate the predictive power of aerobic test results and anthropometric variables on FIS-ranking of junior elite alpine skiers. Results from twenty-three male and female adolescent elite alpine skiers from two seasons were included in the multivariate statistical models. Physical work capacity was determined by V̇O2peak, blood lactate concentration ([HLa]b), and heart rate (HR) during ergometer cycling. Anthropometric variables were body stature, body weight and calculated BMI. No significant correlation between competitive performance and aerobic work capacity or anthropometric data was observed neither in male nor female adolescent skiers. Pre-season physical tests and anthropometric data could therefore not predict end-season FIS-ranking. The best regression (R2) and prediction (Q2) models of FIS slalom (SL) and giant slalom (GS) rank reached R2=0.51 to 0.86, Q2=-0.73 to 0.18, indicating no valid models. This study could not establish V̇O2peak and other included variables as predictors of competitive performance. When combining results from commonly used tests for alpine skiers, and applying multivariate statistical models, investigated tests seems of limited used for athletes, coaches, and ski federations. Performance-specific pre-season tests must be developed and validated for prediction of performance and guidance of exercise training.
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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.