Evidence map›Paper›PMID 33603692›Full record

ArticleFrontiers in psychology2020

Comparing Depressive Symptoms, Emotional Exhaustion, and Sleep Disturbances in Self-Employed and Employed Workers: Application of Approximate Bayesian Measurement Invariance.

Louise E Bergman, Claudia Bernhard-Oettel, Aleksandra Bujacz, Constanze Leineweber, Susanna Toivanen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Louise E BergmanSection for Work and Organizational Psychology, Department of Psychology, Stockholm University, Stockholm, Sweden.
Claudia Bernhard-OettelSection for Work and Organizational Psychology, Department of Psychology, Stockholm University, Stockholm, Sweden.
Aleksandra BujaczDivision of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden.
Constanze LeineweberDepartment of Psychology, Stress Research Institute, Stockholm University, Stockholm, Sweden.
Susanna ToivanenSchool of Health, Care and Social Welfare, Mälardalen University, Västerås, Sweden.
Stockholm University · SEKarolinska Institutet · SEMälardalen University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies investigating differences in mental health problems between self-employed and employed workers have provided contradictory results. Many of the studies utilized scales validated for employed workers, without collecting validity evidence for making comparisons with self-employed. The aim of this study was (1) to collect validity evidence for three different scales assessing depressive symptoms, emotional exhaustion, and sleep disturbances for employed workers, and combinators; and (2) to test if these groups differed. We first conducted approximate measurement invariance analysis and found that all scales were invariant at the scalar level. Self-employed workers had least mental health problems and employed workers had most, but differences were small. Though we found the scales invariant, we do not find them optimal for comparison of means. To be more precise in describing differences between groups, we recommend using clinical cut-offs or scales developed with the specific purpose of assessing mental health problems at work.

Indexed as

approximate measurement invariancedepressive symptomsemotional exhaustionEntrepreneurshipmental health problemsself-employedsleep disturbancesSweden

Identifiers

PMID33603692
PMCPMC7884631
OpenAlexW3128454923

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.