| Literature DB >> 34909261 |
Chris Whatman1, Carla van den Berg2, Luz Palacios-Derflingher3, Carolyn Emery4.
Abstract
BACKGROUND: Youth sports participation is encouraged for proposed physical and psychological benefits. However early sport specialization and the potentially negative consequences may be a cause for concern.Entities:
Keywords: athletic; injury; physical performance; sport specialization; youth
Year: 2021 PMID: 34909261 PMCID: PMC8637261 DOI: 10.26603/001c.29590
Source DB: PubMed Journal: Int J Sports Phys Ther ISSN: 2159-2896
Table 1. Proportions in each specialization category
| Low Specialization (n=113, 48%) | Moderate Specialization (n=82, 34%) | High Specialization (n=43, 18%) | |
|---|---|---|---|
| Sex | |||
| Girls | 58 (48%) | 41 (34%) | 23 (19%) |
| Boys | 55 (47%) | 41 (35 %) | 20 (17%) |
| School size | |||
| Small | 48 (43%) | 37 (33%) | 27 (24%) |
| Large | 65 (52%) | 45 (36%) | 16 (13%) |
| School grade | |||
| 7 | 52 (50%) | 35 (34%) | 17 (16%) |
| 8 | 40 (50%) | 24 (30%) | 16 (20%) |
| 9 | 21 (39%) | 23 (43%) | 10 (19%) |
Values are reported as n(%).
Table 2. Injury and Primary Sport Characteristics
| Body part | n (%) | Injury type | n (%) | Primary sport | n (%) |
|---|---|---|---|---|---|
| Ankle | 17 (34%) | Sprain | 25 (50%) | Soccer | 35 (25%) |
| Knee | 9 (18%) | Fracture | 9 (18%) | Basketball | 19 (14%) |
| Foot | 7 (14%) | Strain | 5 (10%) | Hockey | 16 (11%) |
| Finger | 3 (6%) | Dislocation | 3 (6%) | Dance | 14 (10%) |
| Leg | 3 (6%) | Tendonitis | 3 (6%) | Swimming | 9 (6%) |
| Back | 2 (4%) | Contusion | 2 (4%) | Baseball | 6 (4%) |
| Wrist | 2 (4%) | Missing | 2 (4%) | Badminton | 5 (4%) |
| Arm | 1 (2%) | Other | 1 (2%) | Figure Skating | 4 (3%) |
| Elbow | 1 (2%) | Football | 4 (3%) | ||
| Groin | 1 (2%) | Gymnastics | 3 (2%) | ||
| Shoulder | 1 (2%) | Horseback riding | 3 (2%) | ||
| Trunk | 1 (2%) | Lacrosse | 3 (2%) | ||
| Toe | 1 (2%) | Mixed Martial Arts | 3 (2%) | ||
| Missing | 1 (2%) | Taekwondo | 3 (2%) | ||
| Cheerleading | 2 (1%) | ||||
| Ringette | 2 (1%) | ||||
| Skateboarding | 2 (1%) | ||||
| Karate | 2 (1%) | ||||
| Martial Arts | 2 (1%) | ||||
| Parkour | 2 (1%) | ||||
| Rock climbing | 2 (1%) | ||||
| Sprinting | 2 (1%) | ||||
| Tennis | 2 (1%) | ||||
| Volleyball | 2 (1%) | ||||
| Missing | 7 | ||||
| No primary sport | 91 |
Table 3. Ordinal multivariable logistic regression demonstrating odds of being in a more highly specialized sport category by sex, school size, and grade
| Cumulative ORs (95% CI) | |
| Sex | |
| Girls | Reference |
| Boys | 0.9 (0.6 to 1.4) |
| School size | |
| Small | Reference |
| Large | 0.6 (0.4 to 1.1) |
| School grade | |
| 7 | Reference |
| 8 | 1.1 (0.4 to 2.6) |
| 9 | 1.4 (0.6 to 3.4) |
OR=odds ratio comparing high to moderate and low specialization, and moderate to low specialization, given the other variables held constant; CI=confidence interval
Table 4. Multivariable logistic regression showing odds ratios of reporting a history of injury
| Adjusted Odds Ratio (95% CI) | |
| Specialization category | |
| Low | Reference |
| Moderate | 1.94 (0.86 to 4.35) |
| High | 2.21 (0.43 to 11.37) |
| Sex | |
| Boys | Reference |
| Girls | 2.70 (1.69 to 4.35)* |
| Total sport Hours | |
| Per hour increase (per year) | 1.0010 (1.0005 to 1.0020)* |
Multivariable logistic regression with variables sports specialization, sex, total sport hours over one year, and clustering by school; *p≤0.05, CI=confidence interval
Table 5. Multivariable linear regression showing mean performance outcomes by specialization group, and mean differences compared to low specialized group as reference.
| Low Specialization | Moderate Specialization | High Specialization | |||
|---|---|---|---|---|---|
| Vertical jump height (cm) | Girls | Mean (98.75% CI) | 31.0 (23.6 to 38.3) | 30.5 (22.5 to 38.6) | 31.9 (26.1 to 37.7) |
| Mean difference (98.75% CI) | Reference | -0.4 (-9.8 to 8.9) | 1.0 (-1.4 to 3.3) | ||
| Boys | Mean (98.75% CI) | 35.9 (27.6 to 49.4) | 38.0 (26.6 to 49.4) | 35.6 (30.3 to 40.9) | |
| Mean difference (98.75% CI) | Reference | 2.1 (-9.7 to 13.8) | -0.3 (-12.7 to 12.0) | ||
| Predicted VO2max (mL/kg/min) | Girls | Mean (98.75% CI) | 41.7 (36.9 to 46.4) | 44.7 (42.5 to 47.0) | 44.2 (36.9 to 51.6) |
| Mean difference (98.75% CI) | Reference | 3.1 (-3.5 to 9.7) | 2.6 (-6.3 to 11.4) | ||
| Boys | Mean (98.75% CI) | 45.3 (41.9 to 48.8) | 48.2 (45.0 to 51.5) | 47.6 (37.6 to 57.5) | |
| Mean difference (98.75% CI) | Reference | 2.9 (-3.0 to 8.8) | 2.2 (-6.4 to 10.8) | ||
| Foam pad unipedal eyes-closed dynamic balance time (sec) | Girls | Mean (98.75% CI) | 6.8 (1.7 to 11.8) | 7.5 (4.1 to 10.9) | 7.6 (5.2 to 10.0) |
| Mean difference (98.75% CI) | Reference | 0.8 (-1.4 to 2.9) | 0.8 (-2.9 to 4.5) | ||
| Boys | Mean (98.75% CI) | 6.0 (2.9 to 9.1) | 7.9 (4.3 to 11.6) | 6.5 (3.1 to 9.9) | |
| Mean difference (98.75% CI) | Reference | 1.9 (-4.3 to 8.2) | 0.5 (-1.0 to 2.0) | ||
| Y-balance normalized composite reach distance (%) | Girls | Mean (98.75% CI) | 84.2 (68.9 to 99.4) | 85.4 (71.1 to 99.7) | 86.8 (65.4 to 108.1) |
| Mean difference (98.75% CI) | Reference | 1.2 (-6.5 to 9.0) | 2.6 (-13.4 to 18.7) | ||
| Boys | Mean (98.75% CI) | 84.0 (78.8 to 89.1) | 91.0 (74.9 to 107.1) | 84.5 (78.3 to 90.8) | |
| Mean difference (98.75% CI) | Reference | 7.0 (-10.1 to 24.1) | 0.6 (-5.8 to 7.0) | ||
Multivariable linear regression adjusting for total sport participation hours over the previous year, interaction by sex and clustering by school; CI=confidence interval