Daily PubMed evidence board
Running Assessed Maximal Oxygen Uptake Increases with Participant Classification Framework Tier in Overall Cross-Country Skiing Performance: A Systematic Review with Meta-regressions.
This systematic review and meta-regression pooled data from prior studies to examine how maximal oxygen uptake (VO2Max), measured using running protocols,…
Signal score58Research triage score
CertaintyModerateVerify in full text
PMID42262695Source identifier
Research triage, not medical advice
Do not use this summary, score, or benefit-cost estimate to diagnose, treat, prescribe, or change care without reviewing the full study and consulting qualified professionals.
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Check full-text methods, eligibility, outcomes, risk of bias, harms, conflicts, funding, replication, and applicability.
Plain-English signal
This systematic review and meta-regression pooled data from prior studies to examine how maximal oxygen uptake (VO2Max), measured using running protocols, relates to overall cross-country skiing (XCS) performance across a participant classification framework (PCF). The authors found that VO2Max values generally increased with higher PCF tiers for both males and females, for absolute and body-mass-relative values (reported R2 values: males absolute 0.80, females absolute 0.66; males relative 0.41, females relative 0.69). The paper suggests VO2Max is an important physiological marker across the participation spectrum in XCS and that the pooled values may serve as benchmarks for talent identification and performance development. Full-text review is needed to see the exact pooled VO2Max numbers, heterogeneity, and applicability to specific athlete groups.
Why it matters
- Cross-country skiing performance is commonly linked to maximal oxygen uptake (VO2Max); this study pools data across studies to quantify that relationship using a participant classification framework (PCF).
- The results provide pooled VO2Max benchmark values by PCF tier for running-based protocols, which could inform talent identification, athlete development, and training prioritization in XCS.
- Coaches, sports scientists, and talent ID programs may use these pooled insights to compare athletes against aggregated benchmarks rather than single-study estimates.
Effect summary
Abstract-reported signal: VO2Max values (running protocols) generally increased with PCF tier in males and females for both absolute (Male: R2 = 0.80; Female: R2 = 0.66) and body-mass-relative values (Male: R2 = 0.41; Female: R2 = 0.69).
Benefit-cost lens
| Quick take | Meta-regression shows VO2Max generally increases with PCF tier in running-based protocols; useful for prioritization but not sufficient for implementation or policy without full-text details and local contextual data. |
|---|---|
| BCR anchor | 2 |
| Time horizon | 3 |
| Discount rate | 0.03 |
| Assumptions | Assessment based only on PubMed metadata and abstract; running-based protocols were the only mode with sufficient data; full text needed to extract absolute pooled values, heterogeneity, and subgroup details. |
Benefit-cost fields are assumptions-based unless explicitly source-derived. Treat them as prompts for deeper economic review.
Risk of bias
| Tool | rapid-abstract-screen |
|---|---|
| Verdict | Some concerns |
| Notes | Verdict based on PubMed metadata and abstract only. No full-text assessment of inclusion criteria, study-level bias, heterogeneity, publication bias, or data extraction quality was possible from the abstract. |
Harms, equity, conflicts & implementation
| Implementation | Full-text extraction of pooled means/SE/CI by PCF tier, heterogeneity and subgroup analyses, access to validated running VO2Max testing, trained personnel, cost estimates for testing and training programs, and local validation against target athlete populations. |
|---|---|
| Equity impact | Unclear from abstract alone - equity implications depend on access to VO2Max testing, training resources, and whether pooled benchmarks were derived from diverse populations. |
| Harms | No harms reported in abstract; potential harms (e.g., overemphasis on a single biomarker, misclassification) require full-text and contextual review. |
| Replication | Unknown from PubMed abstract; replication would require access to underlying study-level data or independent re-analysis. |
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