| Literature DB >> 34223431 |
Tsuyoshi Sasaki1, Hitoshi Shitara1, Tsuyoshi Tajika1, Takuro Kuboi1, Tsuyoshi Ichinose1, Daisuke Shimoyama1, Noritaka Hamano1, Masataka Kamiyama1, Ryosuke Miyamoto1, Kurumi Nakase1, Atsushi Yamamoto1, Tsutomu Kobayashi1, Kenji Takagishi1, Hirotaka Chikuda1.
Abstract
BACKGROUND: Shoulder and elbow injuries are the main cause of throwing disability among high school baseball pitchers. However, longitudinal studies on shoulder and elbow injuries among competitive-level high school baseball pitchers have been insufficient. This study aimed to investigate shoulder and elbow injuries in competitive-level high school baseball pitchers over a four-year period and elucidate the effects of implementing medical checkups on the incidence of shoulder and elbow injuries.Entities:
Keywords: Epidemiology; High school baseball pitchers; Injury prevention; Medical checkups; Pitching-related disorders; Shoulder and elbow injuries
Year: 2021 PMID: 34223431 PMCID: PMC8245981 DOI: 10.1016/j.jseint.2021.04.006
Source DB: PubMed Journal: JSES Int ISSN: 2666-6383
Player characteristics at the medical checkups.
| Yr (number of participants) | 2012 (N = 133) | 2013 (N = 131) | 2014 (N = 133) | 2015 (N = 135) | |
|---|---|---|---|---|---|
| Age; mean ± SD (yr) | 16.47 ± 0.62 | 16.47 ± 0.62 | 16.48 ± 0.59 | 16.46 ± 0.66 | .813 |
| Height; mean ± SD (cm) | 172.5 ± 5.1 | 172.6 ± 5.1 | 172.8 ± 5.7 | 172.7 ± 5.7 | .981 |
| Body weight; mean ± SD (kg) | 66.6 ± 7.4 | 67.3 ± 6.9 | 65.7 ± 8.3 | 65.8 ± 7.7 | .265 |
| Baseball experience; mean ± SD (yr) | 8.5 ± 1.7 | 8.0 ± 2.1 | 8.4 ± 1.8 | 8.1 ± 2.0 | .211 |
| Pitching side (no. [%]) | .352 | ||||
| Right | 105 (78.9) | 93 (71.0) | 106 (79.7) | 103 (76.3) | |
| Left | 28 (21.1) | 38 (29.0) | 27 (20.3) | 32 (23.7) |
SD, standard deviation.
Demographic data for each year (age, height, weight, baseball experience, and pitching side) were compared by a one-way analysis of variance for continuous variables and a chi-squared test for categorical variables to test the differences in background factors among the groups (grouped as per the year). The background factors of the groups did not differ to a statistically significant extent.
Figure 1Comparison of the number of shoulder and elbow injuries between the 2012 and 2015 seasons. The distribution of the number of cases with and without shoulder and elbow injuries was compared by a chi-squared test. The number of shoulder and elbow injuries that during the 2015 season was significantly decreased in comparison with the 2012 season (P = .013).
Figure 2Trend in the incidence of shoulder and elbow injuries during the four seasons. The trend in the incidence from 2012 to 2015 was analyzed using the Cochran-Armitage trend test. Shoulder and elbow injuries showed a linear downward trend (P = .007).