Field Tests and Kinematic Measures Predict Winter Performance in Junior Cross-Country Skiers

Cross-country (XC) skiing performance relies on maximal aerobic capacity, technical skills, strength, and power of sport-specific muscle groups. Previous studies have shown that roller-skiing and running tests accurately predict XC skiing performance. However, there is a lack of research on highly trained junior skiers, particularly regarding the relationship between maximum speed, muscular endurance, and kinematic parameters in summer field tests and XC skiing performance. PURPOSE: To develop predictive equations for cross-country skiing performance in junior skiers based on results from field tests and kinematics. METHODS: Thirty-two junior skiers (16.1 ± 1.3 years old, 12 females) completed various tests, including the Canadian strength test (CST), 3000 m running, Ten-step bounding, and three roller-skiing tests. Technical parameters, such as cycle velocity (CV), cycle length (CL), cycle rate (CR), and others, were recorded during uphill double pole test. The relationships between overall time (OT) and rank (OR) in two XC skiing races were analyzed using Pearson correlation and predictive equations were developed through multiple-linear regression analysis. RESULTS: Strong correlations were found between OT and uphill double pole test (r = 0.85, p < 0.001), 50 m double pole (r = 0.82, p < 0.001), CST (r = 0.73, p < 0.001), and others. For OR, significant relationships were noted for each gender. Additionally, relationships between upper- and lower-body muscular endurance and kinematic parameters were established. Predictive equations based on field tests explained 73-89% of total variance in OT, while kinematic equations explained 57-60% (Table 1). CONCLUSION: Winter performance of junior skiers can be effectively predicted using sport-specific fitness and technical parameters measured during the preparatory summer period. Table 1. - Standardized Equations to Predict Overall Time and Rank with Field Tests and Kinematics in Junior Skiers. Model Standardized Equations R 2 1 Z OT = 0.85*Z UDPT 0.73 2 Z OT = 0.56*Z UDPT + 0.46*Z DS50 0.85 3 Z OR = 0.52*Z UDPT + 0.32*Z DS50 +0.96*Z G 0.76 4, Men Z OT = -0.45*Z SS + 0.60*Z DS50 0.83 5, Men Z OT = 0.91*Z UDPT 0.83 6, Men Z OT = 0.76 *Z UDPT + 0.29*Z DS50 0.89 7, Men Z OT = 0.92*Z DP50 0.84 8, Women Z OT = 0.83*Z DS50 0.69 9, Women Z OT = 0.43 *Z UDPT + 0.62*Z DS50 0.83 10, Women Z OT = 0.60*Z DS50 - 0.45 *Z SS 0.85 11 Z OT = -0.75*Z MCL 0.56 12 Z OT = -0.76*Z MCL 0.57 13 Z OT = -0.63*Z CL - 0.55*Z CR 0.60 14 Z OT = -0.54*Z CL + 0.52*Z PT 0.58

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Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-09-16
DOI
https://doi.org/10.1249/01.mss.0001157276.55238.b8
Primary Topic
Winter Sports Injuries and Performance
Type
article
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article

Field Tests and Kinematic Measures Predict Winter Performance in Junior Cross-Country Skiers

Samuel Headley, Victor Feofilaktov, Daniel M. Smith
Medicine & Science in Sports & Exercise
Winter Sports Injuries and Performance
article

Field Tests and Kinematic Measures Predict Winter Performance in Junior Cross-Country Skiers

Samuel Headley, Victor Feofilaktov, Daniel M. Smith
article en

Abstract

Cross-country (XC) skiing performance relies on maximal aerobic capacity, technical skills, strength, and power of sport-specific muscle groups. Previous studies have shown that roller-skiing and running tests accurately predict XC skiing performance. However, there is a lack of research on highly trained junior skiers, particularly regarding the relationship between maximum speed, muscular endurance, and kinematic parameters in summer field tests and XC skiing performance. PURPOSE: To develop predictive equations for cross-country skiing performance in junior skiers based on results from field tests and kinematics. METHODS: Thirty-two junior skiers (16.1 ± 1.3 years old, 12 females) completed various tests, including the Canadian strength test (CST), 3000 m running, Ten-step bounding, and three roller-skiing tests. Technical parameters, such as cycle velocity (CV), cycle length (CL), cycle rate (CR), and others, were recorded during uphill double pole test. The relationships between overall time (OT) and rank (OR) in two XC skiing races were analyzed using Pearson correlation and predictive equations were developed through multiple-linear regression analysis. RESULTS: Strong correlations were found between OT and uphill double pole test (r = 0.85, p < 0.001), 50 m double pole (r = 0.82, p < 0.001), CST (r = 0.73, p < 0.001), and others. For OR, significant relationships were noted for each gender. Additionally, relationships between upper- and lower-body muscular endurance and kinematic parameters were established. Predictive equations based on field tests explained 73-89% of total variance in OT, while kinematic equations explained 57-60% (Table 1). CONCLUSION: Winter performance of junior skiers can be effectively predicted using sport-specific fitness and technical parameters measured during the preparatory summer period. Table 1. - Standardized Equations to Predict Overall Time and Rank with Field Tests and Kinematics in Junior Skiers. Model Standardized Equations R 2 1 Z OT = 0.85*Z UDPT 0.73 2 Z OT = 0.56*Z UDPT + 0.46*Z DS50 0.85 3 Z OR = 0.52*Z UDPT + 0.32*Z DS50 +0.96*Z G 0.76 4, Men Z OT = -0.45*Z SS + 0.60*Z DS50 0.83 5, Men Z OT = 0.91*Z UDPT 0.83 6, Men Z OT = 0.76 *Z UDPT + 0.29*Z DS50 0.89 7, Men Z OT = 0.92*Z DP50 0.84 8, Women Z OT = 0.83*Z DS50 0.69 9, Women Z OT = 0.43 *Z UDPT + 0.62*Z DS50 0.83 10, Women Z OT = 0.60*Z DS50 - 0.45 *Z SS 0.85 11 Z OT = -0.75*Z MCL 0.56 12 Z OT = -0.76*Z MCL 0.57 13 Z OT = -0.63*Z CL - 0.55*Z CR 0.60 14 Z OT = -0.54*Z CL + 0.52*Z PT 0.58

Medicine & Science in Sports & ExerciseVol. 57(10S)
Springfield College (US)
Openalex Percentile: Top 64%
Winter Sports Injuries and Performance
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