Division of Athletic Training, School of Health and Rehabilitation Sciences, The Ohio State University Wexner Medical Center, Columbus.
Department of Kinesiology and Orthopaedic Surgery, University of Virginia, Charlottesville.
J Athl Train. 2018 Nov;53(11):1037-1048. doi: 10.4085/1062-6050-150-17.
The advent of Web-based sports injury surveillance via programs such as the High School Reporting Information Online system and the National Collegiate Athletic Association Injury Surveillance Program has aided the acquisition of girls' and women's basketball injury data.
To describe the epidemiology of injuries sustained in high school girls' basketball in the 2005-2006 through 2013-2014 academic years and collegiate women's basketball in the 2004-2005 through 2013-2014 academic years using Web-based sports injury surveillance.
Descriptive epidemiology study.
Online injury surveillance from basketball teams in high school girls (annual average = 100) and collegiate women (annual average = 57).
Girls' and women's basketball players who participated in practices and competitions during the 2005-2006 through 2013-2014 academic years in high school or the 2004-2005 through 2013-2014 academic years in college.
MAIN OUTCOME MEASURE(S): Certified athletic trainers collected time-loss (≥24 hours) injury and exposure data. Injury rates per 1000 athlete-exposures (AEs) were calculated. Injury rate ratios (IRRs) with 95% confidence intervals (CIs) were used to compare injury rates by school size or division, time in season, event type, and competition level.
The High School Reporting Information Online system documented 2930 time-loss injuries during 1 609 733 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 3887 time-loss injuries during 783 600 AEs. The injury rate was higher in college than in high school (4.96 versus 1.82/1000 AEs; IRR = 2.73; 95% CI = 2.60, 2.86). The injury rate was higher in competitions than in practices for both high school (IRR = 3.03; 95% CI = 2.82, 3.26) and collegiate (IRR = 1.99; 95% CI = 1.86, 2.12) players. The most common injuries at both levels were ligament sprains, concussions, and muscle/tendon strains; the majority of injuries affected the ankle, knee, and head/face. These injuries were often caused by contact with another player or a noncontact mechanism.
Injury rates were higher in collegiate than in high school athletes and in competitions than in practices. Similarities in distributions of injuries by body parts, specific diagnoses, and mechanisms of injury suggest that both levels may benefit from similar injury-prevention strategies.
通过诸如“高中报告信息在线系统”和“全国大学生体育协会伤害监测计划”等基于网络的运动伤害监测项目的出现,有助于获取女子篮球的伤害数据。
使用基于网络的运动伤害监测来描述 2005-2006 学年至 2013-2014 学年期间高中女生篮球和 2004-2005 学年至 2013-2014 学年期间大学女子篮球的伤害流行病学。
描述性流行病学研究。
来自高中女子篮球队(平均每年=100)和大学女子篮球队(平均每年=57)的在线伤害监测。
参加 2005-2006 学年至 2013-2014 学年高中或 2004-2005 学年至 2013-2014 学年大学的女子篮球比赛和练习的女运动员。
经认证的运动训练员收集了非运动时间(≥24 小时)伤害和暴露数据。计算每 1000 次运动员暴露(AE)的伤害发生率。使用损伤率比(IRR)及其 95%置信区间(CI)来比较不同学校规模或分区、赛季时间、事件类型和比赛水平的损伤率。
“高中报告信息在线系统”记录了 1609733 次 AE 中的 2930 次非运动时间伤害;“全国大学生体育协会伤害监测计划”记录了 783600 次 AE 中的 3887 次非运动时间伤害。与高中相比,大学的伤害发生率更高(4.96 比 1.82/1000 AE;IRR=2.73;95%CI=2.60,2.86)。与练习相比,比赛中的伤害发生率更高,无论是在高中(IRR=3.03;95%CI=2.82,3.26)还是大学(IRR=1.99;95%CI=1.86,2.12)运动员中均如此。在这两个水平上,最常见的伤害都是韧带扭伤、脑震荡和肌肉/肌腱拉伤;大多数伤害影响脚踝、膝盖和头部/面部。这些伤害通常是由与另一名运动员的接触或非接触机制引起的。
与高中运动员相比,大学运动员的伤害发生率更高,与练习相比,比赛中的伤害发生率更高。身体部位、特定诊断和伤害机制相似的伤害分布表明,这两个水平都可能受益于类似的伤害预防策略。