Publications and Research
Document Type
Article
Publication Date
Fall 10-2020
Abstract
Background: Depressive symptoms induced by insurmountable job stress and sick leave for mental health reasons have become a focal concern among occupational health specialists. The present study introduces the Occupational Depression Inventory (ODI), a measure designed to quantify the severity of work-attributed depressive symptoms and establish provisional diagnoses of job-ascribed depression. The ODI comprises nine symptom items and a subsidiary question assessing turnover intention. Methods: A total of 2254 employed individuals were recruited in the U.S., New Zealand, and France. We examined the psychometric and structural properties of the ODI as well as the nomological network of work-attributed depressive symptoms. We adopted an approach centered on exploratory structural equation modeling (ESEM) bifactor analysis. We developed a diagnostic algorithm for identifying likely cases of job-ascribed depression (SPSS syntax provided). Results: The ODI showed strong reliability and high factorial validity. ESEM bifactor analysis indicated that, as intended, the ODI can be used as a unidimensional measure (Explained Common Variance = 0.891). Workattributed depressive symptoms correlated in the expected direction with our other variables of interest―e.g., job satisfaction, general health status―and were markedly associated with turnover intention. Of our 2254 participants, 7.6% (n = 172) met the criteria for a provisional diagnosis of job-ascribed depression. Conclusions: This study suggests that the ODI constitutes a sound measure of work-attributed depressive symptoms. The ODI may help occupational health researchers and practitioners identify, track, and treat job-ascribed depression more effectively. ODI-based research may contribute to informing occupational health policies and regulations in the future.
All supplemental material 7
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Clinical Epidemiology Commons, Clinical Psychology Commons, Health Psychology Commons, Industrial and Organizational Psychology Commons, Mental Disorders Commons, Occupational Health and Industrial Hygiene Commons
Comments
Bianchi, R., & Schonfeld, I. S. (2020). The Occupational Depression Inventory: A new tool for clinicians and epidemiologists. Journal of Psychosomatic Research, 138, 110249.
The sixth page of the article contains a link, to the supplementary material:
https:// doi.org/10.1016/j.jpsychores.2020.110249. I, however, uploaded those additional files.