Accuracy of the Athlete Psychological Strain Questionnaire (APSQ) compared to common screening tools for mental health disorders

焦虑 心理健康 自杀意念 运动员 精神科 萧条(经济学) 医学 临床心理学 睡眠障碍 饮食失调 感觉 病人健康调查表 饮酒量 饮食失调 物理疗法 一般健康问卷 心理测试 心理学 酒精使用障碍鉴定试验 广泛性焦虑症 惊恐障碍 药物滥用 梅德林
作者
Bridget M. Whelan,Camilla Astley,Lauren Paladino,Katherine F Wainwright,Daniel J. Taylor,Alisa Huskey,Kelly N. Kim,Kimberly G. Harmon
出处
期刊:British Journal of Sports Medicine [BMJ]
卷期号:: bjsports-2025
标识
DOI:10.1136/bjsports-2025-110185
摘要

Objective The Athlete Psychological Strain Questionnaire (APSQ) is a 10-item mental health screen in the International Olympic Committee Sport Mental Health Assessment Tool 1. This study evaluated its accuracy compared to six validated mental health screening tools in collegiate athletes. Methods Division I collegiate athletes (n=2758) completed the APSQ alongside validated screening tools for anxiety (Generalised Anxiety Disorder-7 (GAD-7)), depression (Patient Health Questionnaire-9 (PHQ-9)), sleep disturbance (Athlete Sleep Screening Questionnaire-Sleep Difficulty Score (ASSQ-SDS)), alcohol use (Alcohol Use Disorders Identification Test-Consumption (AUDIT-C)), substance use (Cutting down, Annoyance by Criticism, Guilty feelings and Eye openers Adapted to Include Drugs (CAGE-AID) and disordered eating (Eating Disorder Examination—Questionnaire Short (EDE-QS)) between June 2020 and June 2023. The APSQ’s performance was assessed using sensitivity, specificity and area under the curve (AUC). Results Of 2758 completed APSQ, 720 (26.1%) screened positive. The rates of positive screens for other measures were GAD-7=7.7%, PHQ-9=11.6% (3.1% reported suicidal ideation on item 9), ASSQ-SDS=21.0%, AUDIT-C=14.5%, CAGE-AID=2.9% and EDE-QS=4.8%. Compared with the APSQ, we observed high accuracy for anxiety (GAD-7: AUC=0.92, sensitivity=90%, specificity=83%) and depression (PHQ-9: AUC=0.91, sensitivity=82%, specificity=84%). There was moderate accuracy for disordered eating (EDE-QS: AUC=0.85, sensitivity=82%, specificity=81%), while accuracy was lower for sleep disturbance (ASSQ-SDS: AUC=0.72, sensitivity=52%, specificity=84%), substance use (CAGE-AID: AUC=0.69, sensitivity=61%, specificity=79%) and alcohol use (AUDIT-C: AUC=0.64, sensitivity=46%, specificity=81%). False-negative rates ranged from 9.9% (GAD-7) to 55% (AUDIT-C). Conclusion The APSQ accurately identifies athletes at risk for anxiety and depression but is less accurate for detecting other mental health issues. Adding more specific questions on sleep disturbance and alcohol use to the APSQ could further improve its accuracy.

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