Sport Specialization’s Impact on Youth Athletes’ Intention of Quitting Sports and Reasons Why Athletes Quit Sports Stratified by Sex and Race or Ethnicity

Background: This study examined (1) the association of sport specialization with the intention of youth athletes quitting sports, and (2) the association of sex with reasons for quitting, while exploring reasons for quitting sports by varying racial and ethnic groups. Hypothesis: Sport specialization will increase the intention of wanting to quit sports and female athletes will report more social reasons for quitting sport compared with male athletes. Study Design: Cross-sectional. Level of Evidence: Level 3. Methods: Online anonymous surveys were distributed via social media. The survey included the Wisconsin Sport Specialization Questionnaire (WISSQ), questions about the intention to quit any or all sports, reasons for quitting, and demographic information. The WISSQ contained 3 scored domains (physical/social/motivational) that were aggregated to an overall score (0-100). Participants rated their intention of quitting sports in the next year on a 5-point Likert scale (“extremely unlikely” to “extremely likely”). Ordinal regressions were used to assess the association of the intention of quitting sport with WISSQ domain and overall scores. Chi-square analyses assessed the association of reasons for quitting with sex (male/female). Results: The study included 266 participants (male, 119 [58%]; White, 139 [68%]; age, 15.3 ± 1.5 years; WISSQ overall score, 48.7 ± 16.1; physical domain, 57.2 ± 27.8; motivational domain, 54.5 ± 23.8; social domain, 48.7 ± 16.1). Most participants answered that they were “extremely” or “somewhat unlikely” to quit any or all sports next year (160 of 266; 60%). The WISSQ motivational domain score showed a significant association with the intention of quitting sport (odds ratio = 0.98; 95% CI, 0.96-0.99). Female athletes selected coaching (male, 11 of 119 (9%); female, 18 of 86 (21%); P = 0.02) and competition (male, 3 of 119 (3%); female, 9 of 86 (11%); P = 0.02) more frequently as reasons for quitting compared with male athletes. Conclusion: The motivation to specialize in sport may improve sport retention for the following year. Clinical Relevance: The motivation to specialize must be balanced with potential negative effects of sport specialization. Further understanding of how coaches and competition negatively impact female youth athletes’ experiences is paramount.

Authors

Institutions

Publication Details

Journal
Sports Health A Multidisciplinary Approach
Published
2026-08-27
DOI
https://doi.org/10.1177/19417381261477258
Primary Topic
Sports, Gender, and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sport Specialization’s Impact on Youth Athletes’ Intention of Quitting Sports and Reasons Why Athletes Quit Sports Stratified by Sex and Race or Ethnicity

Kevin M. Biese, Abigail Godejohn, Christopher Stratton, Lace Luedke
Sports Health A Multidisciplinary Approach
Sports, Gender, and Society
article

Sport Specialization’s Impact on Youth Athletes’ Intention of Quitting Sports and Reasons Why Athletes Quit Sports Stratified by Sex and Race or Ethnicity

Kevin M. Biese, Abigail Godejohn, Christopher Stratton, Lace Luedke
article en

Abstract

Background: This study examined (1) the association of sport specialization with the intention of youth athletes quitting sports, and (2) the association of sex with reasons for quitting, while exploring reasons for quitting sports by varying racial and ethnic groups. Hypothesis: Sport specialization will increase the intention of wanting to quit sports and female athletes will report more social reasons for quitting sport compared with male athletes. Study Design: Cross-sectional. Level of Evidence: Level 3. Methods: Online anonymous surveys were distributed via social media. The survey included the Wisconsin Sport Specialization Questionnaire (WISSQ), questions about the intention to quit any or all sports, reasons for quitting, and demographic information. The WISSQ contained 3 scored domains (physical/social/motivational) that were aggregated to an overall score (0-100). Participants rated their intention of quitting sports in the next year on a 5-point Likert scale (“extremely unlikely” to “extremely likely”). Ordinal regressions were used to assess the association of the intention of quitting sport with WISSQ domain and overall scores. Chi-square analyses assessed the association of reasons for quitting with sex (male/female). Results: The study included 266 participants (male, 119 [58%]; White, 139 [68%]; age, 15.3 ± 1.5 years; WISSQ overall score, 48.7 ± 16.1; physical domain, 57.2 ± 27.8; motivational domain, 54.5 ± 23.8; social domain, 48.7 ± 16.1). Most participants answered that they were “extremely” or “somewhat unlikely” to quit any or all sports next year (160 of 266; 60%). The WISSQ motivational domain score showed a significant association with the intention of quitting sport (odds ratio = 0.98; 95% CI, 0.96-0.99). Female athletes selected coaching (male, 11 of 119 (9%); female, 18 of 86 (21%); P = 0.02) and competition (male, 3 of 119 (3%); female, 9 of 86 (11%); P = 0.02) more frequently as reasons for quitting compared with male athletes. Conclusion: The motivation to specialize in sport may improve sport retention for the following year. Clinical Relevance: The motivation to specialize must be balanced with potential negative effects of sport specialization. Further understanding of how coaches and competition negatively impact female youth athletes’ experiences is paramount.

Sports Health A Multidisciplinary Approach
University of Wisconsin–Oshkosh (US)
Gender equality
Openalex Percentile: Top 5%
Sports, Gender, and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.