School of Allied Health Sciences, Griffith University, Gold Coast Campus, Gold Coast, QLD, 4222, Australia.
Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Australia.
Sports Med. 2021 Apr;51(4):759-776. doi: 10.1007/s40279-020-01410-9. Epub 2021 Jan 5.
Identifying risk factors for lower limb injury is an important step in developing injury risk reduction training and testing for player monitoring. Female athletes are distinct from male athletes, warranting separate investigation into risk factors.
To systematically review the literature and synthesise the evidence for intrinsic risk factors for lower limb injury in female team field and court sports.
Five online databases were searched from inception to April 2020. To be eligible for inclusion, studies were required to be a prospective study presenting intrinsic risk factors for lower limb injury in female team field or court sport athletes. Risk of bias was assessed using the Quality of Prognosis Studies tool.
Sixty-nine studies, capturing 2902 lower limb injuries in 14,492 female athletes, and analysing 80 distinct factors met the inclusion criteria. Risk factors for any lower limb injury included greater body mass (standardised mean difference [SMD] = 0.24, 95% confidence interval [95% CI] 0.18-0.29), greater body mass index (BMI) (SMD = 0.22, 95% CI 0.05-040), older age (SMD = 0.20, 95% CI 0.09-0.31), greater star excursion balance test (SEBT) anterior reach distance (SMD = 0.18, 95% CI 0.12-0.24), and smaller single-leg hop distance (SMD = - 0.09, 95% CI - 0.12 to - 0.06). Lower knee injury and osteoarthritis outcome score (KOOS) increased the risk of knee injury. Anterior cruciate ligament (ACL) injury risk factors included prior ACL injury (odds ratio [OR] = 3.94, 95% CI 2.07-7.50), greater double-leg postural sway (SMD = 0.58, 95% CI 0.02-1.15), and greater body mass (SMD = 0.25, 95% CI 0.12-0.39). Ankle injury risk factors included smaller SEBT anterior reach distance (SMD = - 0.13, 95% CI - 0.14 to - 0.13), greater single-leg hop distance asymmetry (OR = 3.67, 95% CI 1.42-9.45), and slower agility course time (OR = 0.20, 95% CI 0.05-0.88). Remaining factors were not associated with injury or had conflicting evidence.
Prior injury, older age, greater body mass, and greater BMI are risk factors for lower limb injury in female athletes. Limited evidence showed an association between KOOS, SEBT anterior reach, single-leg hop distance and asymmetry, double-leg postural sway, agility, and lower limb injury.
CRD42020171973.
确定下肢损伤的风险因素对于制定损伤风险降低的训练和测试方案以进行运动员监测非常重要。女性运动员与男性运动员不同,因此需要对其风险因素进行单独的调查。
系统回顾文献并综合女性团队场地和球场运动中下肢损伤的内在风险因素的证据。
从创建到 2020 年 4 月,在五个在线数据库中进行了检索。为了符合纳入标准,研究必须是前瞻性研究,提出女性团队场地或球场运动运动员下肢损伤的内在风险因素。使用预后研究质量工具评估偏倚风险。
69 项研究共纳入了 14492 名女性运动员的 2902 例下肢损伤,分析了 80 个不同的因素。任何下肢损伤的风险因素包括更大的体重(标准化均数差 [SMD] = 0.24,95%置信区间 [95%CI] 0.18-0.29)、更大的体重指数(BMI)(SMD = 0.22,95%CI 0.05-040)、年龄较大(SMD = 0.20,95%CI 0.09-0.31)、星状伸展平衡测试(SEBT)前伸距离更大(SMD = 0.18,95%CI 0.12-0.24)和单腿跳跃距离更小(SMD = -0.09,95%CI -0.12 至-0.06)。膝关节前交叉韧带(ACL)损伤风险因素包括既往 ACL 损伤(比值比 [OR] = 3.94,95%CI 2.07-7.50)、双下肢姿势摆动更大(SMD = 0.58,95%CI 0.02-1.15)和更大的体重(SMD = 0.25,95%CI 0.12-0.39)。踝关节损伤的风险因素包括 SEBT 前伸距离较小(SMD = -0.13,95%CI -0.14 至-0.13)、单腿跳跃距离不对称较大(OR = 3.67,95%CI 1.42-9.45)和敏捷性课程时间较慢(OR = 0.20,95%CI 0.05-0.88)。其余因素与损伤无关或证据相互矛盾。
既往损伤、年龄较大、较大的体重和 BMI 是女性运动员下肢损伤的风险因素。有限的证据表明,KOOS、SEBT 前伸、单腿跳跃距离和不对称性、双下肢姿势摆动、敏捷性与下肢损伤之间存在关联。
PROSPERO 注册号:CRD42020171973。