Version 1
: Received: 15 July 2024 / Approved: 15 July 2024 / Online: 15 July 2024 (12:07:47 CEST)
How to cite:
Kekelekis, A.; Musa, R. M.; Nikolaidis, P. T.; Clemente, F. M.; Kellis, E. Hip Muscle Strength Ratios Predicting Groin Injury in Male Soccer Players Using Machine Learning and Multivariate Analysis. A Prospective Cohort Study. Preprints2024, 2024071157. https://doi.org/10.20944/preprints202407.1157.v1
Kekelekis, A.; Musa, R. M.; Nikolaidis, P. T.; Clemente, F. M.; Kellis, E. Hip Muscle Strength Ratios Predicting Groin Injury in Male Soccer Players Using Machine Learning and Multivariate Analysis. A Prospective Cohort Study. Preprints 2024, 2024071157. https://doi.org/10.20944/preprints202407.1157.v1
Kekelekis, A.; Musa, R. M.; Nikolaidis, P. T.; Clemente, F. M.; Kellis, E. Hip Muscle Strength Ratios Predicting Groin Injury in Male Soccer Players Using Machine Learning and Multivariate Analysis. A Prospective Cohort Study. Preprints2024, 2024071157. https://doi.org/10.20944/preprints202407.1157.v1
APA Style
Kekelekis, A., Musa, R. M., Nikolaidis, P. T., Clemente, F. M., & Kellis, E. (2024). Hip Muscle Strength Ratios Predicting Groin Injury in Male Soccer Players Using Machine Learning and Multivariate Analysis. A Prospective Cohort Study. Preprints. https://doi.org/10.20944/preprints202407.1157.v1
Chicago/Turabian Style
Kekelekis, A., Filipe Manuel Clemente and Eleftherios Kellis. 2024 "Hip Muscle Strength Ratios Predicting Groin Injury in Male Soccer Players Using Machine Learning and Multivariate Analysis. A Prospective Cohort Study" Preprints. https://doi.org/10.20944/preprints202407.1157.v1
Abstract
Despite ongoing efforts, the relationship between groin strength and injury remains unclear. The challenge of accurately predicting injuries presents an opportunity for researchers to develop pre-vention strategies to reduce the occurrence of such injuries. Consequently, this issue requires further investigation to obtain insights into effective mitigation strategies. In 120 male soccer players the maximum isometric strength of the hip muscle groups was measured, and the strength ratios were calculated. Previous injury and anthropometric data were registered. Injury data were collected following the FIFA/UEFA consensus. The K- Nearest Neighbour (k-NN), was used to predict the incidence of injury, while the significant predictive variables of the k-NN algorithm were fitted into a multivariate logistic regression model (LR) to analyze the likelihood of players sustaining a groin injury. The LR model determined two variables as significant predictors of groin injury. Players were less likely to sustain a groin injury by 76% for each decrease of the Adductors/Abductors isometric strength ratio in the non-dominant limb (OR = 0.238, CI 95%= [(0.098-0.572]). Players with a history of previous injury had a 67% greater risk of sustaining an injury (OR = 0.333, CI 95%= [(0.1068-1.038]). Isometric hip adductor and abductor strength im-balances of the non-dominant lower limb and a history of previous injury were risk factors for groin injury in soccer players.
Public Health and Healthcare, Physical Therapy, Sports Therapy and Rehabilitation
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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