Evidence map›Paper›PMID 42103879›Full record

ArticleScientific reports2026

The Occupational Depression Inventory performs well in Norway.

Renzo Bianchi, Ingvild Andersen, Lars M Rimol, Bendik Ola Larsen, Synøve Marie Gjaevran, Dorthe Bjergene Lyngbø, Kaja Bretteville Myhrvold, Allissa Mylan Nguyen, Thea Marie Otnes, Ada Fredrikke Hvidsten Roaldsøy and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Renzo BianchiDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. renzo.bianchi@ntnu.no.ORCID http://orcid.org/0000-0003-2336-0407
Ingvild AndersenOslo Business School, Oslo Metropolitan University (OsloMet), Oslo, Norway.
Lars M RimolDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Bendik Ola LarsenDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Synøve Marie GjaevranDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Dorthe Bjergene LyngbøDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Kaja Bretteville MyhrvoldDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Allissa Mylan NguyenDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Thea Marie OtnesDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Ada Fredrikke Hvidsten RoaldsøyDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Gunnar Vade SødalDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Aurora ViggenDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Maia Eriksen ZaguryDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Irvin Sam SchonfeldDepartment of Psychology, The City College of the City University of New York, New York City, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the psychometric and structural properties of the Norwegian version of the Occupational Depression Inventory (ODI). Three independent samples of employees were recruited. Sample 1 included 382 individuals (50.8% female); Sample 2, 485 individuals (67.8% female); and Sample 3, 353 individuals (51.8% female). The ODI met the requirements for essential unidimensionality, strong scalability, and high total-score reliability. The instrument's total score accurately ranked respondents on the latent dimension underlying the measure. The ODI showed a balance of convergent and discriminant validity when examined against a classical (i.e., an attribution-free) measure of depressive symptoms. Supporting the ODI's criterion validity, occupational depression evinced a meaningful pattern of relations with work addiction, antidepressant intake, work motivation, physical assault at work, verbal abuse at work, workplace ostracism, sick leave, workplace bullying, and socioeconomic optimism. Work-attributed depressive symptoms were strongly linked to turnover intention. Measurement invariance held across samples, sexes, and age segments. The prevalence of occupational depression was estimated at 2.1% in Sample 1, 2.3% in Sample 2, and 2.0% in Sample 3. We conclude that occupational health specialists can rely on the ODI to assess job-related distress in the Norwegian working population.

Indexed as

DepressionAdultFemaleHumansMaleMiddle AgedNorwayPsychometricsReproducibility of ResultsSurveys and QuestionnairesWorkplaceFactor analysisMokken scalingOccupational healthWorkaholismWork motivationWorkplace bullyingWorkplace ostracism

Identifiers

PMID42103879
PMCPMC13342518

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.