Literature DB >> 31633407

Sport Specialization, Club Sport Participation, Quality of Life, and Injury History Among High School Athletes.

Katherine Dahab1,2, Morgan N Potter2, Aaron Provance1,2, Jay Albright1,2, David R Howell1,2.   

Abstract

CONTEXT: Many factors can affect the injury risk and quality of life among high school athletes. Early sport specialization and club sport participation may be components to consider when assessing the injury risk and quality of life.
OBJECTIVE: To investigate patient-reported quality-of-life and injury-history measures among adolescent athletes at different sport-specialization levels and to compare these measures between those who did and those who did not report participating in club sports.
DESIGN: Cross-sectional study.
SETTING: High school athletic facility. PATIENTS OR OTHER PARTICIPANTS: High school student athletes 13 to 18 years of age were recruited and tested during their annual preseason athletic physical examinations. MAIN OUTCOME MEASURE(S): Our primary grouping variables were sport-specialization level (classified as low, moderate, or high) and club sport participation (organized sport outside of traditional school athletics). Our outcome variables were the Patient-Reported Outcome Measurement Information System Pediatric Profile-37 rating, Severity Measure for Depression-Child score, and injury history.
RESULTS: A total of 97 individuals participated (mean age = 15.2 ± 1.1 years; 38% female). Relatively similar proportions of individuals reported participating at each level of sport specialization (low = 34%, moderate = 40%, high = 26%). Forty-six (48%) participants stated they participated in club sports. No differences were evident in quality of life (P values = .15-.92 across domains), depression (P = .60), or injury history (P > .70) among the specialization groups. Those who described participating in club sports had a higher proportion of time-loss musculoskeletal injuries (63% versus 29%; P = .002) and of injuries requiring imaging, injection, a cast, a brace, or crutches (72% versus 46%; P = .013) than those who did not.
CONCLUSIONS: Although no injury-history differences were found among the sport-specialization groups, a higher proportion of club sport athletes than nonclub sport athletes reported a history of injury. Club sports are generally seen as more competitive, and the higher number of injuries seen in this setting could be related to a higher level of play among club sport athletes.

Entities:  

Keywords:  PROMIS; musculoskeletal injury; pediatric sports medicine; youth sports

Year:  2019        PMID: 31633407      PMCID: PMC6805066          DOI: 10.4085/1062-6050-361-18

Source DB:  PubMed          Journal:  J Athl Train        ISSN: 1062-6050            Impact factor:   2.860


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3.  Prevalence of Sport Specialization in High School Athletics: A 1-Year Observational Study.

Authors:  David R Bell; Eric G Post; Stephanie M Trigsted; Scott Hetzel; Timothy A McGuine; M Alison Brooks
Journal:  Am J Sports Med       Date:  2016-02-26       Impact factor: 6.202

4.  An examination of the PROMIS(®) pediatric instruments to assess mobility in children with cerebral palsy.

Authors:  Anna L Kratz; Mary D Slavin; M J Mulcahey; Alan M Jette; David S Tulsky; Stephen M Haley
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5.  Postinjury anxiety and social support among collegiate athletes: a comparison between orthopaedic injuries and concussions.

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Journal:  J Athl Train       Date:  2014-03-27       Impact factor: 2.860

6.  The patient health questionnaire for adolescents: validation of an instrument for the assessment of mental disorders among adolescent primary care patients.

Authors:  Jeffrey G Johnson; Emily S Harris; Robert L Spitzer; Janet B W Williams
Journal:  J Adolesc Health       Date:  2002-03       Impact factor: 5.012

7.  Sports-specialized intensive training and the risk of injury in young athletes: a clinical case-control study.

Authors:  Neeru A Jayanthi; Cynthia R LaBella; Daniel Fischer; Jacqueline Pasulka; Lara R Dugas
Journal:  Am J Sports Med       Date:  2015-02-02       Impact factor: 6.202

8.  A unique patient population? Health-related quality of life in adolescent athletes versus general, healthy adolescent individuals.

Authors:  Kenneth C Lam; Alison R Snyder Valier; R Curtis Bay; Tamara C Valovich McLeod
Journal:  J Athl Train       Date:  2013-02-20       Impact factor: 2.860

9.  Psychometric properties of the PROMIS ® pediatric scales: precision, stability, and comparison of different scoring and administration options.

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Journal:  Qual Life Res       Date:  2013-10-02       Impact factor: 4.147

Review 10.  Overuse injuries, overtraining, and burnout in child and adolescent athletes.

Authors:  Joel S Brenner
Journal:  Pediatrics       Date:  2007-06       Impact factor: 7.124

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