2022International Journal of Stress ManagementRequires access

Distress in the workplace: Characterizing the relationship of burnout measures to the Occupational Depression Inventory.

Irvin Sam Schonfeld, Renzo Bianchi

Open publisher page 19 citations

Abstract

Burnout has been found to problematically overlap with depression. However, the generalizability of this finding remains disputed. This study examined burnout–depression overlap using the recently developed Occupational Depression Inventory (ODI) and two burnout measures, the Maslach Burnout Inventory (MBI) and the Copenhagen Burnout Inventory (CBI). The study involved two teacher samples employed in France (N = 1,450) and New Zealand (N = 492). We found the correlations of the ODI with (a) the MBI’s emotional exhaustion (EE) subscale and (b) the CBI to reach .80. An explanation of these high correlations based on content overlap in fatigue-related items was ruled out. The ODI–EE and ODI–CBI correlations were significantly stronger than the correlations among the MBI’s subscales. Exploratory structural equation modeling bifactor analyses revealed that the ODI captures what the MBI’s EE subscale and the CBI measure. The general factor explained 86% of the common variance extracted when considering ODI and EE items and 89% when considering ODI and CBI items. The findings indicate that burnout’s exhaustion core is part of a depressive syndrome. Importantly, the ODI not only assesses exhaustion but also each of the other core symptoms of major depression, including suicidal thoughts. In contrast to burnout measures, the ODI allows for both a dimensional and a diagnostic approach to job-related distress, consistent with the history of clinical research on depression. Moreover, the ODI has demonstrated particularly robust psychometric and structural properties in past research. The ODI’s value for occupational medical specialists in replacing burnout measures is discussed.

About this research paper

What this paper is about

Burnout has been found to problematically overlap with depression. However, the generalizability of this finding remains disputed. This study examined burnout–depression overlap using the recently developed Occupational Depression Inventory (ODI) and two burnout measures, the Maslach Burnout Inventory (MBI) and the Copenhagen Burnout Inventory (CBI). The study involved two teacher samples employed in France (N = 1,450) and New Zealand (N = 492). We found the correlations of the ODI with (a) the MBI’s emotional exhaustion (EE) subscale and (b) the CBI to reach .80. An explanation of these high correlations based on content overlap in fatigue-related items was ruled out. The ODI–EE and ODI–CBI correlations were significantly stronger than the correlations among the MBI’s subscales. Exploratory structural equation modeling bifactor analyses revealed that the ODI captures what the MBI’s EE subscale and the CBI measure. The general factor explained 86% of the common variance extracted when considering ODI and EE items and 89% when considering ODI and CBI items. The findings indicate that burnout’s exhaustion core is part of a depressive syndrome. Importantly, the ODI not only assesses exhaustion but also each of the other core symptoms of major depression, including suicidal thoughts. In contrast to burnout measures, the ODI allows for both a dimensional and a diagnostic approach to job-related distress, consistent with the history of clinical research on depression. Moreover, the ODI has demonstrated particularly robust psychometric and structural properties in past research. The ODI’s value for occupational medical specialists in replacing burnout measures is discussed.

Why it matters

OpenAlex reports 19 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Burnout has been found to problematically overlap with depression. However, the generalizability of this finding remains disputed. This study examined burnout–depression overlap using the recently developed Occupational Depression Inventory (ODI) and two burnout measures, the Maslach Burnout Inventory (MBI) and the Copenhagen Burnout Inventory (CBI). The study involved two teacher samples employed in France (N = 1,450) and New Zealand (N = 492). We found the correlations of the ODI with (a) the MBI’s emotional exhaustion (EE) subscale and (b) the CBI to reach .80. An explanation of these high correlations based on content overlap in fatigue-related items was ruled out. The ODI–EE and ODI–CBI correlations were significantly stronger than the correlations among the MBI’s subscales. Exploratory structural equation modeling bifactor analyses revealed that the ODI captures what the MBI’s EE subscale and the CBI measure. The general factor explained 86% of the common variance extracted when considering ODI and EE items and 89% when considering ODI and CBI items. The findings indicate that burnout’s exhaustion core is part of a depressive syndrome. Importantly, the ODI not only assesses exhaustion but also each of the other core symptoms of major depression, including suicidal thoughts. In contrast to burnout measures, the ODI allows for both a dimensional and a diagnostic approach to job-related distress, consistent with the history of clinical research on depression. Moreover, the ODI has demonstrated particularly robust psychometric and structural properties in past research. The ODI’s value for occupational medical specialists in replacing burnout measures is discussed.

Key concepts: Burnout, Occupational stress, Psychology, Occupational burnout, Distress, Emotional exhaustion, Clinical psychology, Depression (economics)

Related papers

Back to paper searchBrowse research topicsOriginal source
Distress in the workplace: Characterizing the relationship of burnout measures to the Occupational Depression Inventory. — Research Paper | ScholarLens