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Psychometric evaluation of a 33-item subset of MOODS-SR for distinguishing bipolar disorder
Published online by Cambridge University Press: 23 March 2020
Abstract
The MOODS-SR is a self-report instrument consisting of 161 dichotomous items. It is designed to assess lifetime presence of mood spectrum psychopathology. Recently, it has been proposed that a subset of 33 items can be used to distinguishing bipolar disorder.
To evaluate psychometric properties of a 33-item subset and to propose a clinically relevant cut-off for screening for bipolar disorder.
Patients with mood disorders were recruited from outpatient services at Sahlgrenska University Hospital. Patients and a convenience sample of healthy controls were offered to fill in the MOODS-SR. A post-hoc analysis was conducted for the 33-items subset of the MOODS-SR.
The subset showed high internal consistency (Cronbach α = 0.95). The mean scores of patients with bipolar disorder (22.7 ± 6.4) were significantly higher than those of the unipolar (11.3 ± 4.9) and control group (7.0 ± 7.0, P < 0.005). A significant correlation was found between YMRS (r = 0.50, P < 0.005) and the 33-item subset, but not with MADRS (r = –0.22, P = 0.223).
The 33-item subset of MOODS-SR showed promising psychometric properties, including good known-group validity. It discriminated bipolar patients from unipolar patients and healthy subjects. The clinical usefulness of these finding needs further investigation.
The authors have not supplied their declaration of competing interest.
- Type
- EW430
- Information
- European Psychiatry , Volume 33 , Issue S1: Abstracts of the 24th European Congress of Psychiatry , March 2016 , pp. s223
- Copyright
- Copyright © European Psychiatric Association 2014
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