First came their pioneering research a few years ago linking burnout and depression. Now City College of New York psychologist Irvin Sam Schonfeld and his University of Neuchâtel collaborator Renzo Bianchi present 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.
Touted by the duo as the first such measure of its kind, the ODI comprises nine symptom items and a subsidiary question assessing turnover intention. A total of 2254 employed individuals in the United States, New Zealand and France participated in the study.
“We examined the psychometric and structural properties of the ODI as well as the nomological network of work-attributed depressive symptoms,” said Schonfeld, describing the methodology.
They adopted an approach centered on exploratory structural equation modeling (ESEM) bifactor analysis and developed a diagnostic algorithm for identifying likely cases of job-ascribed depression. Work-attributed depressive symptoms correlated in the expected direction with other variables of interest―e.g., job satisfaction, general health status―and were markedly associated with turnover intention. Of the 2254 participants, 7.6% (n = 172) met the criteria for a provisional diagnosis of job-ascribed depression.
According to Schonfeld, their study suggests that the ODI constitutes a sound measure of work-attributed depressive symptoms. “It may help occupational health researchers and practitioners identify, track and treat job-ascribed depression more effectively,” he said, adding: “ODI-based research may contribute to informing occupational health policies and regulations in the future.”
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