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Validity of the mental health component scale of the 12-item Short-Form Health Survey (MCS-12) as measure of common mental disorders in the general population
Abstract This study assessed the screening utility of the 12-item Short-Form Health Survey's (SF-12) mental health component scale (MCS-12) for diagnosable depression and anxiety disorders in a general population sample, and thus, the validity of this scale as a measure of mental health in epid...
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Published in: | Psychiatry research 2007-07, Vol.152 (1), p.63-71 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Abstract This study assessed the screening utility of the 12-item Short-Form Health Survey's (SF-12) mental health component scale (MCS-12) for diagnosable depression and anxiety disorders in a general population sample, and thus, the validity of this scale as a measure of mental health in epidemiological research. Data were from the Australian National Survey of Mental Health and Wellbeing ( N = 10,504). Diagnoses were made using the Composite International Diagnostic Interview. The MCS-12 was compared to other brief scales: the RAND Mental Health Component scale (RAND MHC-12, an alternative scoring method for the MCS-12), the 12-item General Health Questionnaire (GHQ-12), the Kessler Psychological Distress Scale (K10 and K6), and an estimate of the Mental Health Inventory (MHI-5). The MCS-12 and RAND MHC-12 were equally able to discriminate respondents with the target diagnoses. The MCS-12 performed better than the GHQ-12, and equally to the K6 for diagnoses of depression, though not anxiety disorders, where the K6 showed greater utility. The K10 out-performed the MCS-12 for all diagnoses. Areas under receiver operating characteristics curves (AUC) indicated that the MCS-12 is valid measure of mental health in epidemiological research, and a useful screening tool for both depression (AUC = 0.92) and anxiety disorders (AUC = 0.83). |
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ISSN: | 0165-1781 1872-7123 |
DOI: | 10.1016/j.psychres.2006.11.005 |