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Volume 19 (2024): Issue 8 (Aug 2024)
in
International Journal of Sports Physiology and Performance
Print ISSN:
1555-0265
Online ISSN:
1555-0273
EDITORIAL
How Can We Make Research More Relevant for Sport Practice?
Introducing
IJSPP
’s First Reviewer Incentive: A Submission-Fee Waiver
BRIEF REVIEW
Hamstring Injuries, From the Clinic to the Field: A Narrative Review Discussing Exercise Transfer
ORIGINAL INVESTIGATION
In Situ Power–Cadence Relationship for 2-, 5-, and 20-Minute Duration: A Proof of Concept in Under-19 Cyclists
Pacing Strategies in Elite Individual-Medley Swimmers: A Decision-Tree Approach
Velocity–Load Jump Testing Predicts Acceleration Performance in Elite Speed Skaters: But Does Movement Specificity Matter?
Reliability of Three Landmine-Punch-Throw Variations and Their Load–Velocity Relationships Performed With the Dominant and Nondominant Hands
Cardiorespiratory Markers Relate to Change-of-Direction Performance During Incremental Endurance Tests and Friendly Matches in Professional Male Handball Players
Physiological Profiles of Male and Female CrossFit Athletes
Relationship Between External Training Load and Session Rating of Perceived Exertion Training Impulse in Elite Sprinters
Single Session Intermittent Heat Exposure With More Frequent and Shorter Cooling Breaks Facilitates Greater Training Intensity and Elicits Physiological Responses Comparable to Continuous Heat Exposure
Durability and Underlying Physiological Factors: How Do They Change Throughout a Cycling Season in Semiprofessional Cyclists?
Sex Differences in Self-Reported Causes, Symptoms, and Recovery Strategies Associated With Underperformance in Endurance Athletes
BRIEF REPORT
Intensity Gradients: A Novel Method for Interpreting External Loads in Football
Intraday Variation of Ankle Dorsiflexion in Short-Track Speed Skaters
Defining Worst-Case-Scenario Thresholds in Soccer: Intensity Versus Volume
INVITED COMMENTARY
Standing on the Shoulders of Giants: Essential Papers in Sports and Exercise Physiology
ERRATUM
Erratum. Injury Prediction in Competitive Runners With Machine Learning
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