Sport Specialization and Sport Motivation in Middle School-Aged Athletes.

Kevin M Biese, Madeline Winans, Grace Rudek, Lisa Cadmus-Bertram, Susan Andreae, M Alison Brooks, Stephanie Kliethermes, Timothy A McGuine, David R Bell
Author Information
  1. Kevin M Biese: Department of Kinesiology, University of Wisconsin-Oshkosh.
  2. Madeline Winans: Department of Kinesiology, University of Wisconsin-Madison.
  3. Grace Rudek: Department of Kinesiology, University of Wisconsin-Madison.
  4. Lisa Cadmus-Bertram: Department of Kinesiology, University of Wisconsin-Madison.
  5. Susan Andreae: Department of Kinesiology, University of Wisconsin-Madison.
  6. M Alison Brooks: Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison.
  7. Stephanie Kliethermes: Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison.
  8. Timothy A McGuine: Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison.
  9. David R Bell: Department of Kinesiology, University of Wisconsin-Madison.

Abstract

CONTEXT: Sport specialization has been assumed to have psychosocial ramifications for athletes, especially autonomous motivation, which has been associated with continued sport participation. Sport dropout is common in youth athletes, yet it is unknown how sport specialization may affect this population psychosocially.
OBJECTIVE: To determine the association of sport specialization with autonomous and controlled motivation and amotivation in middle school-aged athletes.
DESIGN: Cross-sectional study.
SETTING: An anonymous online questionnaire was distributed to athletes via schools, club sports, and social media.
PATIENTS OR OTHER PARTICIPANTS: A total of 178 athletes (male = 59%; private school = 51%; grade: sixth = 20%, seventh = 32%, eighth = 48%) completed the questionnaire.
MAIN OUTCOME MEASURE(S): The questionnaire assessed demographics, sport participation, and motivation using the Youth Behavioral Regulation in Sport Questionnaire. Sport specialization was defined using a modified 3-point scale (low, moderate, or high) and multisport versus single-sport athletes. Nonparametric tests were used to analyze the differences among the types of motivation and specialization levels and between multisport and single-sport athletes.
RESULTS: Sport specialization categories were not significantly associated with autonomous motivation, controlled motivation, or amotivation. No significant associations were present between multisport or single-sport athletes and any type of motivation. However, multisport athletes had higher scores for intrinsic motivation, a subscale of autonomous motivation, compared with single-sport athletes (single sport: median = 5.00, 25th-75th quartile = 4.50-5.00; multisport: median = 5.00, 25th-75th quartile = 5.00-5.00; P = .04).
CONCLUSIONS: Sport motivation did not differ between sport specialization groups in middle school athletes. Dropout from sport is common in this age group but is multifactorial in nature. A lack of sport motivation could be a factor for some athletes, but all specialization groups appeared to have similar outcomes. Our exploratory analysis suggests that clinicians may consider having an open dialogue with single-sport athletes, their parents or guardians, and coaches to ensure that athletes are enjoying their sport.

Keywords

References

  1. Sports Health. 2022 Jan-Feb;14(1):135-141 [PMID: 34668454]
  2. Prim Care. 2014 Sep;41(3):465-87 [PMID: 25124201]
  3. J Sport Health Sci. 2017 Dec;6(4):423-433 [PMID: 30356602]
  4. Sports Health. 2017 Mar/Apr;9(2):148-153 [PMID: 27807260]
  5. Front Pediatr. 2020 Nov 05;8:535705 [PMID: 33224905]
  6. Orthop J Sports Med. 2016 Apr 28;4(4):2325967116644241 [PMID: 27169132]
  7. J Sport Exerc Psychol. 2001 Dec;23(4):281-306 [PMID: 28682196]
  8. Int J Behav Nutr Phys Act. 2013 Aug 15;10:98 [PMID: 23945179]
  9. Sports Health. 2020 Jan/Feb;12(1):36-42 [PMID: 31724908]
  10. J Athl Train. 2021 Nov 1;56(11):1239-1251 [PMID: 33787895]
  11. BMC Public Health. 2013 Dec 01;13:1100 [PMID: 24289060]
  12. J Phys Act Health. 2015 Mar;12(3):424-33 [PMID: 24770788]
  13. Sports Health. 2022 Nov-Dec;14(6):849-858 [PMID: 34913390]
  14. Am J Sports Med. 2016 Jun;44(6):1469-74 [PMID: 26920433]
  15. J Athl Train. 2019 Oct;54(10):1083-1088 [PMID: 31633410]
  16. Am Psychol. 2000 Jan;55(1):68-78 [PMID: 11392867]
  17. Sports Health. 2021 Jan/Feb;13(1):25-30 [PMID: 32631208]
  18. Am J Sports Med. 2015 Apr;43(4):794-801 [PMID: 25646361]
  19. Med Sci Sports Exerc. 2002 Apr;34(4):689-94 [PMID: 11932580]
  20. J Sport Rehabil. 2015 Feb;24(1):31-5 [PMID: 24622506]
  21. Pediatrics. 2016 Sep;138(3): [PMID: 27573090]
  22. J Sport Exerc Psychol. 2008 Jun;30(3):323-55 [PMID: 18648109]
  23. Orthop J Sports Med. 2020 Mar 02;8(3):2325967120907579 [PMID: 32166094]

MeSH Term

Adolescent
Humans
Male
Child
Cross-Sectional Studies
Motivation
Athletic Injuries
Risk Factors
Athletes

Word Cloud

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