This page summarizes one paper. Findings should be interpreted within its design, sample and limitations.
| Study | Competitive performance predictors in speed climbing |
|---|---|
| Year | 2023 |
| Design | Performance predictor study |
| Evidence label | Direct Speed Evidence — predictor model |
Research question and overview
Winkler and colleagues asked which measurable athlete characteristics help explain competitive Speed performance. The study is valuable because it considers multiple candidate factors rather than assuming one trait dominates.
Methods
The model included anthropometric components and climbing-specific measures of power, strength, endurance and flexibility. Predictor modeling identifies statistical relationships within the sample.
Main findings
The study contributes to evidence that Speed performance reflects a combination of physical and anthropometric factors and provides context for athlete profiling.
Limitations
Predictors are not prescriptions. A variable can statistically explain differences without being directly or safely modifiable, and model performance in one sample does not guarantee universal applicability.
Practical meaning
The research supports individualized profiling while arguing against simplistic claims about an ideal Speed athlete height, weight or test score.
Read the original paper
Competitive performance predictors in speed climbing. The original paper is authoritative for exact methods, statistics and author conclusions.