Participants.
The pitchers were gathered from each high school associated with a baseball club of a competitive level in Gunma prefecture; in total, 128 pitchers participated in an annual free preseason medical check-up, which was held as a social contribution to prevent injury by our department. At the preseason medical check-up, we recruited all participating male high-school baseball pitchers aged 15–17 years (mean: 16.7 years) for the present study and obtained written informed consent from their parents prior to participation. According to the criteria used in previous studies,4,17 we included pitchers who participated in baseball practice as active pitchers without shoulder or elbow issues detected in the medical check-up. The exclusion criteria were previous major injuries (such as fracture) or surgery of the dominant arm and limitations in pitching due to shoulder or elbow problems such as discomfort or pain during pitching. This study was approved by the institutional review board of Gunma University Hospital (approval number: 1003). All procedures were performed in accordance with the relevant regulations and guidelines.
Baseline assessment.
Baseline assessment at the preseason medical check-up was conducted as previously reported4,17 and used to divide the study population into two groups based on self-evaluated satisfaction with pitching performance during the season. The cutoff for the division of the groups was determined by an ROC curve analysis with Youden’s index. We collected data on baseball experience, height, weight, elbow and shoulder ROM, and shoulder muscle strength. When evaluating these items, the examiners were blinded to information regarding the dominant arm.
Elbow and shoulder range of motion. The intra-rater validity and reliability of ROM measurements obtained using a digital protractor have been previously reported.4,17 In the present study, a certified orthopedic surgeon measured the bilateral ROM for elbow flexion and extension, shoulder 90° abducted external and internal rotation d, and shoulder horizontal adduction using a digital protractor (iGaging, Los Angeles, CA, USA).
Shoulder strength. The intra-rater validity and reliability of hand-held dynamometers have been previously established.4,5,17 In the present study, a certified orthopedic surgeon assessed the prone external and internal rotation strength (PER and PIR, respectively) of both shoulders using a PowerTrack II Commander hand-held dynamometer (J-Tech Medical, Salt Lake City, UT, USA). The dominant-to-nondominant ratios of PER and PIR and the ratio of PER to PIR on the dominant side were calculated for each participant.
Injury tracking and in-season data collection.
Injury tracking was started on April 1, 2018, for a period of 150 days. From the players’ viewpoint, “shoulder or elbow injury” was defined as any condition that resulted in the pitcher being unable to pitch/unable to use the arm for ≥ 8 days,4,17,18 whereas from the clinician’s viewpoint, after identifying what type of injuries occurred is important, we prioritized the players’ viewpoint in this study. To investigate when injuries occurred, participants were asked to complete a self-recorded questionnaire every day regarding the presence of shoulder and/or elbow pain, limitations to pitching caused by shoulder or elbow pain, and the presence of other injuries. To collect the data of external load, participants were asked to complete a questionnaire every day on how long a day they trained and practiced baseball. For analysis, the average training and practice duration per week was calculated.
Self-evaluated satisfaction with pitching performance was assessed before the onset of injury; participants were also asked to complete a questionnaire every day during the season for 150 days and to assign their pitching performance a numerical score between 0 (worst) and 10 (best). To reduce potential recall bias, we encouraged participants to complete the questionnaire by calling them daily and asking them to return completed questionnaires every month.
Statistical analysis.
We used SAS v9.4 (SAS Institute Inc., Cary, NC, USA) for all statistical analyses. All tests were two-sided with a significance level of P < 0.05. Differences between groups at baseline were compared using the Mann–Whitney U test. When a significant difference was found in the factors between the groups at baseline, logistic regression analysis was performed to identify whether the factors were significant risk factors for shoulder and elbow injury. A ROC curve analysis with Youden’s index was used to determine the cutoff value for average self-evaluated satisfaction scores before injury, and participants were divided into two groups using this cutoff value. A Kaplan–Meier analysis was used to generate time-to-event curves, and HRs for the incidence of injury were calculated using Cox proportional hazards models. The incidence of injury was compared between groups using a log-rank test. The sample size was determined by performing a priori statistical power analysis, which indicated that 39 participants would provide a statistical power of 80% at an α level of 0.05 with an HR of 2.7,4 an accrual interval of 150 days, a follow-up interval of 150 days, and a median time to failure in the group, with the smallest time to failure of 50 days in the Kaplan–Meier analysis.19 Finally, we performed a post-hoc power analysis to verify the statistical power of this study.