Abstract
Conceptualizing own symptoms as potential signs of a mental illness is an important, yet under-researched step towards appropriate help. Few validated measures address recognition and identification of own mental illness. Aim of this study is to investigate performance and correlates of the 'self-Identification as Having a Mental Illness’ scale (SELF-I) in a group of 229 currently untreated individuals with mental health problems, predominantly depression. Measures included: self-identification with having a mental illness (SELF-I), depressive and somatic symptom severity (PHQ-9 and PHQ-15), illness perceptions (B-IPQ-R-C), and sociodemographic variables. Principal-component analysis revealed in a unidimensional factor structure. The SELF-I showed good reliability in terms of internal consistency (Cronbach's alpha, 0.85–0.87) and re-test reliability over three months (Intraclass correlation coefficient, 0.74). Associations with depressive symptoms, previous treatment experiences and self-labelling demonstrated construct and criterion validity. Low associations with somatic symptoms and with illness-perceptions as measured by the B-IPQ-R-C indicated discriminant validity. We did not observe any floor or ceiling effects. The SELF-I scale is a brief, unidimensional and reliable measure of self-identification as having a mental illness that offers useful research perspectives.
| Original language | English |
|---|---|
| Journal | Psychiatry Research |
| Volume | 273 |
| Pages (from-to) | 303-308 |
| Number of pages | 6 |
| ISSN | 0165-1781 |
| DOIs | |
| Publication status | Published - 03.2019 |
Funding
This work was supported by the Deutsche Forschungsgemeinschaft (DFG) [Grant-ID SCHO 1337/4 – 1 and SCHM 2683/4 – 1 ].
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 10 Reduced Inequalities
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
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