Dataset Information

Validation of the Occupational Depression Inventory in Sweden.

ABSTRACT:

Background

The Occupational Depression Inventory (ODI) was recently devised to assess depressive symptoms that individuals specifically attribute to their work. One purpose of the ODI is to overcome limitations in current assessments of job-related distress. This study aimed to validate the Swedish version of the ODI.

Methods

The study involved 365 individuals employed in Sweden. In addition to the ODI, the study included the Satisfaction with Life Scale, the Effort-Reward Imbalance Questionnaire, the Demand-Control-Support Questionnaire, the GAD-2, and the PHQ-9. We inquired into the factorial validity, dimensionality, scalability, test-score reliability, criterion validity, convergent validity, discriminant validity, and measurement invariance of the ODI.

Results

Exploratory structural equation modeling bifactor analysis indicated that the ODI's Swedish version meets the requirements for essential unidimensionality (e.g., explained common variance = 0.872). Measurement invariance held across sexes, age groups, and occupational categories. The instrument exhibited strong scalability (e.g., H = 0.662). The observed total scores thus accurately ranked respondents on the latent continuum underlying the scale. The ODI's total-score reliability was high (e.g., McDonald's ω = 0.929). Speaking to the instrument's criterion validity, we found occupational depression to correlate, in the expected direction, with various work (e.g., job support) and nonwork (e.g., general anxiety) variables. Occupational depression showed large correlations with effort-reward imbalance (r = 0.613) and demand-control imbalance (r = 0.566) at work. Multiple regression analyses supported these associations further. As expected, we observed both a degree of convergent validity and a degree of discriminant validity when examining the ODI against the PHQ-9, an attribution-free measure of depression.

Discussion

This study indicates that the ODI performs well within the Swedish context, consistent with the findings obtained in other linguistic and geographic contexts. The ODI promises to help researchers, practitioners, and public health decision-makers address job-related distress more effectively.

SUBMITTER: Jansson-Frojmark M

PROVIDER: S-EPMC10411009 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Publications

Validation of the Occupational Depression Inventory in Sweden.

Jansson-Fröjmark Markus M Badinlou Farzaneh F Lundgren Tobias T Schonfeld Irvin Sam IS Bianchi Renzo R

BMC public health 20230808 1

<h4>Background</h4>The Occupational Depression Inventory (ODI) was recently devised to assess depressive symptoms that individuals specifically attribute to their work. One purpose of the ODI is to overcome limitations in current assessments of job-related distress. This study aimed to validate the Swedish version of the ODI.<h4>Methods</h4>The study involved 365 individuals employed in Sweden. In addition to the ODI, the study included the Satisfaction with Life Scale, the Effort-Reward Imbalan ...[more]

PMID: 37553626

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Project description:BACKGROUND:Beck Depression Inventory (BDI-II) is a widely used valid instrument to assess the severity of depression in clinical and normal settings. To meet the necessity of a standard scale for measuring depression among above 265 million Bangla speaking population around the world, this scale was translated and validated. METHODS:Two translations of BDI-II into Bangla were prepared, and then, two back translations were done by medical and language experts in parallel. Thereafter, sentence revision followed by pretest on 20 respondents was done to finalize the Bangla version of BDI-II (BDI-II BV). Afterward, a cross-sectional, comparative, and descriptive study was conducted to validate the scale by purposive sampling technique consisting of 111 persons (both clinical and normal) in three tertiary-level hospitals in Bangladesh. Everyone was given to fill up BDI-II BV at first. Then, they were given to fill up BDI-II BV (n = 49), Bangla version of Depression Anxiety Stress Scales 21-item (DASS21-BV, n = 47) and BDI-II (n = 25) 3-7 days later. The diagnosis of depressive disorder was made according to DSM-5. Correlation study and factor analysis were completed. RESULTS:The mean age was 28.83(±8.70) years. The male-female ratio was 1:0.82. Correlation of scores for BDI-II BV with the DASS21-BV depression subscale was .920; BDI-II BV with BDI-II was .985 (Cronbach's ? .993; t test not significant) and BDI-II BV applied first and the second time was .960 (Cronbach's ? .979; z test not significant). The interitem correlation for all the items was found highly significant (p < .01). Patients having depressive disorder or episodes had significantly higher BDI-II BV scores than normal (M + SD 30.18 + 10.127 than 8.34 + 5.910; p < .001). Partial confirmatory factor analysis demonstrated two-factor loading comprising Cognitive and Somatic-affective symptoms. CONCLUSIONS:Through the translation and validation process, a validated Bangla version of BDI-II was produced to measure depression and its severity among the Bengali population.

Project description:ObjectivesThe Network on the Coordination and Harmonisation of European Occupational Cohorts (OMEGA-NET) was set up to enable optimization of the use of industrial and general population cohorts across Europe to advance aetiological research. High-quality harmonized exposure assessment is crucial to derive comparable results and to enable pooled analyses. To facilitate a harmonized research strategy, a concerted effort is needed to catalogue available occupational exposure information. We here aim to provide a first comprehensive overview of exposure assessment tools that could be used for occupational epidemiological studies.MethodsAn online inventory was set up to collect meta-data on exposure assessment tools. Occupational health researchers were invited via newsletters, editorials, and individual e-mails to provide details of job-exposure matrices (JEMs), exposure databases, and occupational coding systems and their associated crosswalks to translate codes between different systems, with a focus on Europe.ResultsMeta-data on 36 general population JEMs, 11 exposure databases, and 29 occupational coding systems from more than 10 countries have been collected up to August 2021. A wide variety of exposures were covered in the JEMs on which data were entered, with dusts and fibres (in 14 JEMs) being the most common types. Fewer JEMs covered organization of work (5) and biological factors (4). Dusts and fibres were also the most common exposures included in the databases (7 out of 11), followed by solvents and pesticides (both in 6 databases).ConclusionsThis inventory forms the basis for a searchable web-based database of meta-data on existing occupational exposure information, to support researchers in finding the available tools for assessing occupational exposures in their cohorts, and future efforts for harmonization of exposure assessment. This inventory remains open for further additions, to enlarge its coverage and include newly developed tools.

Dataset Information

Validation of the Occupational Depression Inventory in Sweden.

Background

Methods

Results

Discussion

Publications

Validation of the Occupational Depression Inventory in Sweden.

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