Kekelekis Afxentios, Musa Rabiu Muazu, Nikolaidis Pantelis T, Clemente Filipe Manuel, Kellis Eleftherios
Laboratory of Neuromechanics, School of Physical Education and Sport Science at Serres, Aristotle University of Thessaloniki, 62100 Serres, Greece.
Sport Injury Clinic for Prevention & Rehabilitation, 72100 Aghios Nikolaos, Greece.
Muscles. 2024 Sep 2;3(3):297-309. doi: 10.3390/muscles3030026.
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 prevention 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. -nearest neighbor (-NN) was used to predict the incidence of injury, while the significant predictive variables of the -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 adductor/abductor 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 imbalances of the non-dominant lower limb and a history of previous injury were risk factors for groin injury in soccer players.
尽管一直在努力,但腹股沟力量与损伤之间的关系仍不明确。准确预测损伤的挑战为研究人员制定预防策略以减少此类损伤的发生提供了契机。因此,这个问题需要进一步研究,以深入了解有效的缓解策略。在120名男性足球运动员中,测量了髋部肌群的最大等长力量,并计算了力量比值。记录了既往损伤和人体测量数据。按照国际足联/欧洲足联的共识收集损伤数据。使用最近邻(-NN)来预测损伤发生率,同时将-NN算法的显著预测变量纳入多元逻辑回归模型(LR),以分析球员腹股沟受伤的可能性。LR模型确定了两个变量为腹股沟损伤的显著预测因素。非优势肢体的内收肌/外展肌等长力量比值每降低一次,球员腹股沟受伤的可能性就降低76%(OR = 0.238,95%CI = [(0.098 - 0.572)])。有既往损伤史的球员受伤风险高67%(OR = 0.333,95%CI = [(0.1068 - 1.038)])。非优势下肢的等长髋内收肌和外展肌力量不平衡以及既往损伤史是足球运动员腹股沟损伤的危险因素。
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