| Literature DB >> 29910386 |
Christopher J Sole1, Ashley A Kavanaugh2, Michael H Stone3.
Abstract
A four-year retrospective analysis of injury data was conducted on a collegiate (NCAA Division I) women's volleyball team. Twenty athletes (Year 1: age = 19.4 ± 0.9 y, height = 175.2 ± 5.1 cm, body mass = 70.5 ± 10.2 kg; Year 2: age = 20.1 ± 1.0 y, height = 175.7 ± 4.7 cm, body mass = 69.5 ± 10.1 kg; Year 3: age = 20.1 ± 1.4 y, height = 173.8 ± 6.3 cm, body mass = 69.9 ± 10.8 kg; Year 4: age = 19.5 ± 1.4 y, height = 174.4 ± 8.6 cm, body mass = 72.7 ± 10.8 kg) participated in this study, accounting for 1483 total training exposures. Injury was defined as any damage to a body part, incurred during volleyball or strength and conditioning-related activities, which interfered with training and/or competition. Injury rate was normalized to the number of athletes and exposure and expressed as injuries per 1000 exposures. A total of 133 injuries were recorded. The most common injury was to the knee (left = 7.5%, right = 12.0%). Injuries occurred most often in volleyball practice (75.2%), followed by competition (20.3%), and strength and conditioning-related activities (4.5%). Non-contact injuries (upper body = 26.3%, lower body = 53.4%) were more common than contact injuries (upper-body = 13.5%, lower-body = 6.8%). An examination of injury rates relative to the training year revealed patterns in injury occurrence. Specifically, spikes in injury rate were consistently observed during periods of increased training volume that were preceded by breaks in organized training, such as the early pre-season and off-season training periods.Entities:
Keywords: athlete monitoring; injury; time-series; volleyball
Year: 2017 PMID: 29910386 PMCID: PMC5968995 DOI: 10.3390/sports5020026
Source DB: PubMed Journal: Sports (Basel) ISSN: 2075-4663
Figure 1A descriptive time-series plot displaying injury rates over four academic years. Data are collapsed into a single academic year and displayed relative to common phases of training and competition found in NCAA Division I women’s volleyball. Note: data are displayed at approximately a 15-day resolution.
Frequency and percentage of total injuries incurred over four academic years.
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| 3.0 | 2.3 | ||
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| 2.0 | 1.5 | ||
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| 3.0 | 2.3 | ||
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| 10.0 | 7.5 | ||
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| 18.0 | 13.6 | ||
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| 5.0 | 3.8 | 11.0 | 8.3 |
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| 1.0 | 0.8 | 0.0 | 0.0 |
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| 1.0 | 0.8 | 1.0 | 0.8 |
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| 2.0 | 1.5 | 2.0 | 1.5 |
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| 4.0 | 3.0 | 9.0 | 6.8 |
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| 5.0 | 3.5 | 6.0 | 4.3 |
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| 3.0 | 2.3 | 4.0 | 3.0 |
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| 10.0 | 7.5 | 16.0 | 12.0 |
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| 4.0 | 3.0 | 1.0 | 0.8 |
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| 1.0 | 0.8 | 3.0 | 2.3 |
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| 7.0 | 5.3 | 10.0 | 7.5 |
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| 4.0 | 3.0 | 5.0 | 3.8 |
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| 47.0 | 35.3 | 68.0 | 51.1 |
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| 133.0 | 100.0 | ||
Figure 2Heat map displaying the relative distribution of injuries per body region over four academic years: (A) Anterior view; (B) Posterior view.
Frequency and percentage of total injuries based on activity.
| Activity | Frequency | % of Total | Injuries per 1000 Exposures |
|---|---|---|---|
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| 100.0 | 75.2 | 11.6 |
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| 27.0 | 20.3 | 6.6 |
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| 6.0 | 4.5 | 1.7 |
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| 133.0 | 100.0 |
Note: An exposure equals 1 h of strength and conditioning related activities, volleyball practice or competition.
Frequency and percentage of total injuries incurred based on type.
| Type | Frequency | % of Total |
|---|---|---|
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| 35.0 | 26.3 |
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| 71.0 | 53.4 |
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| 18.0 | 13.5 |
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| 9.0 | 6.8 |
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| 93.0 | 69.9 |
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| 40.0 | 30.1 |