Epidemiology and associated risk factors of field hockey injuries

Data from investigating field hockey injuries and associated risk factors of injury tabulated. Field hockey players were investigated using fortnightly questionnaires over a ten week period. The participant response rate was calculated at each fortnightly period by dividing the number of participants involved in the study during that two-week period by the total number of participants who received a questionnaire link during the specific two-week period. The overall average response rate was calculated by averaging all two-week periods. Descriptive statistics [means, median , standard deviations, and frequencies (n, %)] were used to describe the baseline characteristics, demographic data and clinical characteristics of injury. The injury prevalence per two-week period was calculated by dividing the total number of reported injuries in a specific time period by the total number of respondents in that period. A mean injury prevalence was calculated as a sum of all two-week time period prevalence divided by all two-week time periods of the study. The injury incidence was calculated by dividing the number of new injuries by the total running exposure in hours across all the periods. Inferential statistics was used to compare injured and non-injured participants’ demographic and training information to investigate and identify possible injury risk factors. Significant factors (p

本研究对曲棍球运动中的损伤及其相关风险因素进行了数据调查和表格化整理。通过对曲棍球运动员在十周期间进行的每两周问卷调查，对参与者进行了研究。在每一两周期间，通过将该两周期间参与研究的参与者数量除以在该特定两周期间收到问卷链接的总参与者数量，计算了参与者的响应率。通过平均所有两周期间的计算结果，得出了整体的平均响应率。为了描述基线特征、人口统计学数据以及损伤的临床特征，采用了描述性统计学方法，包括均值、中位数、标准差以及频数（n, %）。通过将特定时间段内报告的损伤总数除以该时期内的总受访者数量，计算了每两周期间的损伤患病率。将所有两周时间段内患病率的总和除以研究中的所有两周时间段，得出了平均损伤患病率。通过将新损伤的数量除以所有时间段内总的运行暴露小时数，计算了损伤发生率。为了调查和识别可能的损伤风险因素，使用了推论统计学方法，比较了受伤与非受伤参与者的人口统计学和训练信息。