CONTEXT Mental health is an important component of holistic care in athletic settings. Burnout is one of many factors associated with poor mental health, and clinicians should assess for these… Click to show full abstract
CONTEXT Mental health is an important component of holistic care in athletic settings. Burnout is one of many factors associated with poor mental health, and clinicians should assess for these symptoms. The Athlete Burnout Questionnaire (ABQ) has been proposed as a measure of burnout in athletes; however, design concerns are prevalent within the scale, and psychometric analyses have resulted in inconsistent measurement properties, limiting the usefulness of the scale for accurate assessment of burnout in athletes. The objective of our study was to assess the factor structure of the Alternate Modified ABQ-15v2 using confirmatory factor analysis. If model fit was inadequate, a secondary purpose was to identify a psychometrically sound alternate ABQ model. DESIGN Observational study. METHODS Intercollegiate athletes and dancers pursuing a degree in dance (n = 614) were recruited from programs across the United States. Individuals had varied health statuses (eg, healthy, injured), scholarship support, and participated in a variety of intercollegiate sports. A confirmatory factor analysis was conducted on the modified 15-item ABQ (Alternate Modified ABQ-15v2). Exploratory factor analysis and covariance modeling of a proposed alternate 9-item scale (ABQ-9) was conducted and multigroup invariance analysis was assessed across athlete category, class standing, and student-athlete scholarship status to assess consistency of item interpretation across subgroups. RESULTS The Modified ABQ did not meet recommended model fit criteria. The ABQ-9 met all recommended model fit indices but was not invariant across athlete category. CONCLUSIONS The ABQ-9 may be a viable and efficient option for assessing burnout in the collegiate athletics setting. However, further research is needed to validate the ABQ-9 in a cross-validation study.
               
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