What does this research mean for the field?

In professional male handball players, anaerobic mean power is the primary determinant of 20-m sprint performance, and maximal oxygen uptake is the strongest predictor of Yo-Yo intermittent recovery test performance, whereas isolated lower-body muscle strength is not a significant determinant. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To investigate the relative contributions of cardiopulmonary endurance, anaerobic power, and lower-body strength to sprint speed and intermittent recovery in professional handball players.

September 3, 2026The Korean Journal of Sports MedicineOpen Access

An Integrated Analysis of Physiological Determinants of Field Performance in Professional Handball Players: A Retrospective Cross-sectional Study

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Authors

KLKyung Tai LeeEulji University DLDong-Hoon LeeKorean Red Cross SHSeok-Min HwangKorean Red Cross

Discussion

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Implication

Retrospective cross-sectional study reveals that anaerobic power and aerobic capacity primarily drive field performance in professional handball players, indicating key targets for training.

Key Points

To investigate the relative contributions of cardiopulmonary endurance, anaerobic power, and lower-body strength to sprint speed and intermittent recovery in professional handball players.
Analyzed physiological and performance data from 22 professional male handball players evaluated during the 2017 national team selection.
Assessed VO2max, Wingate anaerobic mean power and fatigue index, knee flexor and extensor peak torque, and half-squat maximum strength.
Used multiple linear regression models to identify determinants of 20-m sprint times and Yo-Yo intermittent recovery test scores.
Wingate anaerobic mean power emerged as the primary significant determinant for reducing 20-m sprint times (adjusted R² = 0.389, p = 0.034).
Maximal oxygen uptake (VO2max) was the strongest predictor of Yo-Yo intermittent recovery test performance (adjusted R² = 0.511, p = 0.023).
Knee flexor torque, knee extensor peak torque, half-squat maximum weight, and the anaerobic fatigue index were not statistically significant predictors in either performance model.

Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/6a9934b4636c6408cfa7c753 https://doi.org/10.5763/kjsm.2026.44.3.164

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September 3, 2026The Korean Journal of Sports MedicineOpen Access

An Integrated Analysis of Physiological Determinants of Field Performance in Professional Handball Players: A Retrospective Cross-sectional Study

View Full Paper

Ask AI

Bookmark

Authors

KLKyung Tai LeeEulji University DLDong-Hoon LeeKorean Red Cross SHSeok-Min HwangKorean Red Cross

Discussion

Member takes

Implication

Retrospective cross-sectional study reveals that anaerobic power and aerobic capacity primarily drive field performance in professional handball players, indicating key targets for training.

Key Points

To investigate the relative contributions of cardiopulmonary endurance, anaerobic power, and lower-body strength to sprint speed and intermittent recovery in professional handball players.
Analyzed physiological and performance data from 22 professional male handball players evaluated during the 2017 national team selection.
Assessed VO2max, Wingate anaerobic mean power and fatigue index, knee flexor and extensor peak torque, and half-squat maximum strength.
Used multiple linear regression models to identify determinants of 20-m sprint times and Yo-Yo intermittent recovery test scores.
Wingate anaerobic mean power emerged as the primary significant determinant for reducing 20-m sprint times (adjusted R² = 0.389, p = 0.034).
Maximal oxygen uptake (VO2max) was the strongest predictor of Yo-Yo intermittent recovery test performance (adjusted R² = 0.511, p = 0.023).
Knee flexor torque, knee extensor peak torque, half-squat maximum weight, and the anaerobic fatigue index were not statistically significant predictors in either performance model.

Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/6a9934b4636c6408cfa7c753 https://doi.org/10.5763/kjsm.2026.44.3.164

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