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Mental health screening: severity and cut-off point sensitivity of the Athlete Psychological Strain Questionnaire in male and female elite athletes
journal contribution
posted on 2020-03-18, 00:00 authored by Simon Rice, Lisa OliveLisa Olive, Vincent Gouttebarge, Alexandra G Parker, Patrick Clifton, Peter Harcourt, Michael Llyod, Alex Kountouris, Ben Smith, Beau Busch, Rosemary PurcellObjectives: To examine the sensitivity/specificity of the Athlete Psychological Strain Questionnaire (APSQ) in both male and female elite athletes, and also assess internal consistency and convergent/divergent validity, and determine discriminative validity relative to current injury status.
Methods: Data were provided by 1093 elite athletes (males n=1007; females n=84). Scale validity and reliability values were benchmarked against validated measures of general psychological distress and well-being. ROC curve analysis determined a range of optimal severity cut-points.
Results: Bias-corrected area under curve (AUC) values supported three APSQ cut-points for moderate (AUC=0.901), high (AUC=0.944) and very high (AUC=0.951) categories. APSQ total score Cronbach coefficients exceeded those observed for the Kessler 10 (K-10). Gender ×injury status interactions were observed for the APSQ total score and K-10, whereby injured female athletes reported higher scores relative to males and non-injured female counterparts.
Conclusion: By providing a range of cut-off scores identifying those scoring in the marginal and elevated ranges, the APSQ may better facilitate earlier identification for male and female elite athletes vulnerable to mental health symptoms and developing syndromes. Use of the APSQ may support sports medicine practitioners and allied health professionals to detect early mental ill health manifestations and facilitate timely management and ideally, remediation of symptoms.
Methods: Data were provided by 1093 elite athletes (males n=1007; females n=84). Scale validity and reliability values were benchmarked against validated measures of general psychological distress and well-being. ROC curve analysis determined a range of optimal severity cut-points.
Results: Bias-corrected area under curve (AUC) values supported three APSQ cut-points for moderate (AUC=0.901), high (AUC=0.944) and very high (AUC=0.951) categories. APSQ total score Cronbach coefficients exceeded those observed for the Kessler 10 (K-10). Gender ×injury status interactions were observed for the APSQ total score and K-10, whereby injured female athletes reported higher scores relative to males and non-injured female counterparts.
Conclusion: By providing a range of cut-off scores identifying those scoring in the marginal and elevated ranges, the APSQ may better facilitate earlier identification for male and female elite athletes vulnerable to mental health symptoms and developing syndromes. Use of the APSQ may support sports medicine practitioners and allied health professionals to detect early mental ill health manifestations and facilitate timely management and ideally, remediation of symptoms.
History
Journal
BMJ Open Sport & Exercise MedicineVolume
6Issue
1Article number
e000712Pagination
1 - 6Publisher
BMJLocation
London, Eng.Publisher DOI
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2398-9459eISSN
2055-7647Language
EnglishPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2020, The AuthorsUsage metrics
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