| Literature DB >> 32232067 |
Patrick S Buckley1, Michael C Ciccotti2, Meghan Bishop2, Patrick Kane3, Stephen Selverian1, Dominique Exume1, John D'Angelo4, William Emper2, Kevin B Freedman2, Sommer Hammoud2, Steven B Cohen2, Michael G Ciccotti2.
Abstract
BACKGROUND: An increasing number of youth baseball athletes are specializing in playing baseball at younger ages.Entities:
Keywords: baseball; injury; sport specialization; youth; single
Year: 2020 PMID: 32232067 PMCID: PMC7092410 DOI: 10.1177/2325967120907875
Source DB: PubMed Journal: Orthop J Sports Med ISSN: 2325-9671
Level and Position of All Players
| n (%) | |
|---|---|
| Level | |
| Rookie | 336 (20.7) |
| A | 578 (35.6) |
| AA | 224 (13.8) |
| AAA | 166 (10.2) |
| MLB | 320 (19.7) |
| Total | 1624 |
| Position | |
| Pitcher | 902 (55.4) |
| Starting pitcher | 413 |
| Relief pitcher | 482 |
| Infield | 333 (20.4) |
| Outfield | 249 (15.3) |
| Catcher | 145 (8.9) |
| Total | 1629 |
MLB, Major League Baseball.
Characteristics of All Players
| Value | |
|---|---|
| No. of responses | 1673 |
| Age, y | 23.60 ± 8.63 |
| Quit other sports to focus on 1 sport, n (%) | 717/1613 (44.5) |
| Age at which player quit other sports, y | 14.09 ± 2.79 |
| Trained in sport at age of specialization, mo/y | 8.21 ± 3.51 |
| Competed in sport at age of specialization, mo/y | 7.30 ± 2.80 |
| Sustained an injury that player attributed to specializing in 1 sport, n (%) | 181/703 (25.7) |
Values are presented as mean ± SD unless otherwise indicated. Percentages are presented based on the number of responses for each individual question.
Survey Responses for Single-Sport Specialization Questions
| All Players | Non-US | US |
| |
|---|---|---|---|---|
| No. of responses | 1673 | 515 | 1106 | |
| Age, y | 23.60 ± 8.63 | 21.37 ± 3.41 | 24.57 ± 10.05 |
|
| Age at which player first started to participate in competitive sports, y | 6.85 ± 3.10 | 8.93 ± 3.77 | 5.91 ± 2.16 |
|
| Quit other sports during childhood/adolescence to play only baseball, n (%) | 717 (44.5) | 225 (44.1) | 489 (44.5) | .829 |
| Age at which player quit other sports to focus on baseball, y | 14.09 ± 2.79 | 12.30 ± 3.07 | 14.89 ± 2.24 |
|
Values are presented as mean ± SD unless otherwise indicated. Bolded values indicate a statistically significant difference. Percentages are presented based on the number of responses for each individual question.
Survey Responses Comparing US-Raised and Non–US-Raised Players
| All Players | Non-US | US |
| |
|---|---|---|---|---|
| Trained for main baseball season (fitness, skills training, weight training, etc), mo/y | 8.21 ± 3.51 | 6.68 ± 3.87 | 8.91 ± 3.09 |
|
| Competed in baseball games (ie, school team, winter ball, AFL, instructional league, etc), mo/y | 7.30 ± 2.80 | 5.78 ± 3.30 | 7.97 ± 2.25 |
|
| Sustained an injury that player attributed to specializing in 1 sport, n (%) | 181 (25.7) | 45 (20.6) | 134 (27.7) |
|
| Glad that player focused on only 1 sport at age of specialization, n (%) | 626 (88.8) | 205 (93.6) | 419 (86.6) |
|
| Thought that specializing in 1 sport helps to play sport at a higher level, n (%) | 979 (61.6) | 446 (88.8) | 532 (49.1) |
|
| Wanted children to specialize in only 1 sport during their adolescent years, n (%) | 357 (22.4) | 278 (55.4) | 78 (7.1) |
|
Values are presented as mean ± SD unless otherwise indicated. Bolded values indicate a statistically significant difference. Percentages are presented based on the number of responses for each individual question. AFL, Arizona Fall League.
Reasons for Single-Sport Specialization
| % | |
|---|---|
| Love/enjoyment of the sport | 34.5 |
| Professional opportunities | 15.8 |
| Was the sport that player was best at | 12.5 |
| Collegiate scholarship | 12.1 |
| To be the best | 9.6 |
| Time/schedule conflicts | 6.0 |
| To improve in the sport | 4.8 |
| Other: write in (required) | 2.1 |
| Advice of coach | 1.3 |
| Advice of parent | 1.0 |
| Unsure | 0.4 |
Figure 1.Heat map showing the geographic breakdown within the United States of the state of residence at the time of specialization for Major League Baseball athletes.
Survey Responses for Pitching-Specific Questions
| All Players | Non-US | US |
| |
|---|---|---|---|---|
| Age at which player started adjusting pitching schedule based on pitch count limits, y | 13.82 ± 3.30 | 14.60 ± 3.04 | 13.78 ± 3.32 | .149 |
| Age at which player started throwing off-speed pitches (ie, curveball, slider), y | 13.56 ± 2.36 | 13.85 ± 2.63 | 13.41 ± 2.22 |
|
| Age at which player focused primarily on pitching rather than a fielding position, y | 16.13 ± 2.47 | 14.28 ± 2.87 | 16.89 ± 1.82 |
|
Values are presented as mean ± SD. Bolded values indicate a statistically significant difference.
Pitchers’ Responses for Little League Pitch Count Limits
| Athlete Responses | |||||
|---|---|---|---|---|---|
| All Players | Non-US | US |
| Pitch Smart Recommendations (Daily Maximum Pitches/Game) | |
| For 10-year-old players | 47.03 ± 17.86 | 31.98 ± 15.67 | 52.53 ± 15.31 |
| 75 |
| For 13-year-old players | 61.39 ± 19.21 | 43.47 ± 19.57 | 67.84 ± 14.43 |
| 95 |
| For 16-year-old players | 77.93 ± 21.01 | 58.11 ± 23.47 | 85.47 ± 13.95 |
| 95 |
Values are presented as mean ± SD. Bolded values indicate a statistically significant difference.
Differences in Specialization Based on Player Position
| Position | Specialized, n (%) |
| Age of Specialization, Mean ± SD, y |
|
|---|---|---|---|---|
| Pitcher | 391/887 (44.1) | .122 | 14.82 ± 2.33 | .279 |
| Starting pitcher | 182/409 (44.5) | .8389 | 15.01 ± 1.81 | .2154 |
| Relief pitcher | 209/478 (43.7) | 14.66 ± 2.68 | ||
| Infield | 158/330 (47.9) | 14.81 ± 2.40 | ||
| Outfield | 94/244 (38.5) | 15.26 ± 2.10 | ||
| Catcher | 69/144 (47.9) | 14.61 ± 1.96 |
Analysis of variance: F 3,701 = 1.28; P = .279. P values listed for “pitcher” compare the results of all 4 positions (pitcher, infield, outfield, and catcher). The P values listed next to “starting pitcher” reflect the comparison between only starting and relief pitchers.