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Musculoskeletal care · 2025

Diagnostic and Clinical Utility of the Generalised Anxiety Disorder-2 (GAD-2) for Screening Anxiety Symptoms in Individuals With Persistent Musculoskeletal Pain Attending Physiotherapy.

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Vancampfort Davy, McGrath Ryan L, Dankaerts Wim, Van Assche Dieter, Lambrechts Monica, Stubbs Brendon, Van Damme Tine

Аннотация

INTRODUCTION: This cross-sectional study assesses the diagnostic and clinical utility of the 2-item Generalised Anxiety Disorder Scale (GAD-2) for screening anxiety symptoms in individuals with persistent musculoskeletal pain attending physiotherapy.

METHODS: In total, 450 patients (mean age = 53.3 ± 12.2 years; 109 male; mean illness duration = 0.5 ± 8.8 years) with persistent musculoskeletal pain were recruited in 84 private physiotherapy practices. Patients completed the Generalised Anxiety Disorder-7 (GAD-7) and GAD-2. Internal consistency was calculated for both measures. Area under the receiver operating characteristics curve (AUC) and Youden's J were calculated to determine the optimal GAD-2 cutoff score for identifying clinically significant anxiety symptoms, as defined by the previously validated GAD-7 cutoff score of ≥ 11 for persistent pain patients.

RESULTS: Internal consistency was good for the GAD-7 (Cronbach α = 0.89) and acceptable for the GAD-2 (α = 0.71). Both measures were moderately correlated (r = 0.39, p < 0.001). GAD-2 had moderate overall accuracy for identifying clinically significant anxiety (AUC = 0.70; 95% confidence interval, 0.66-0.74). A GAD-2 cutoff score of ≥ 3 provided the most optimal balance of sensitivity (59%) and specificity (75%). Alternatively, a cutoff score of ≥ 2 provided a better sensitivity (70%) but worse specificity (56%).

DISCUSSION: The GAD-2 is a clinically useful and psychometrically acceptable tool for screening anxiety symptoms in patients with persistent pain attending physiotherapy.

CONCLUSION: The GAD-2 has the potential to identify patients with persistent pain who are at risk of anxiety disorders and who may benefit from additional mental health support.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты