Evidence map›Paper›PMID 37159197›Full record

ArticleJAMA network open2023

Workplace Psychosocial Resources and Risk of Sleep Disturbances Among Employees.

Tianwei Xu, Reiner Rugulies, Jussi Vahtera, Sari Stenholm, Jaana Pentti, Linda L Magnusson Hanson, Göran Kecklund, Jimmi Mathisen, Mads Nordentoft, Mika Kivimäki and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. Error in Author Affiliation.JAMA network open · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 4 countries.

Tianwei XuStress Research Institute, Stockholm University, Stockholm, Sweden.
Reiner RuguliesDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Jussi VahteraDepartment of Public Health, University of Turku, Turku, Finland.
Sari StenholmDepartment of Public Health, University of Turku, Turku, Finland.
Jaana PenttiDepartment of Public Health, University of Turku, Turku, Finland.
Linda L Magnusson HansonStress Research Institute, Stockholm University, Stockholm, Sweden.
Göran KecklundStress Research Institute, Stockholm University, Stockholm, Sweden.
Jimmi MathisenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Mads NordentoftNational Research Centre for the Working Environment, Copenhagen, Denmark.
Mika KivimäkiClinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Naja Hulvej RodDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Stockholm University · SEFinnish Institute of Occupational Health · FINational Research Centre for the Working Environment · DKUniversity of Copenhagen · DKUniversity of Turku · FI

Funding

Medical Research Council MR/K013351/1Medical Research Council MR/S011676/1
6 · The paper itself

Abstract

Importance: Workplace psychosocial resources naturally tend to cluster in some work teams. To inform work-related sleep health promotion interventions, it is important to determine the associations between clustering of workplace resources and sleep disturbances when some resources are high while others are low and to mimic an actual intervention using observational data. Objective: To examine whether clustering of and changes in workplace psychosocial resources are associated with sleep disturbances among workers. Design, Setting, and Participants: This population-based cohort study used data from the Swedish Longitudinal Occupational Survey of Health (2012-2018), the Work Environment and Health in Denmark study (2012-2018), and the Finnish Public Sector Study (2008-2014), collected biennially. Statistical analysis was conducted from November 2020 to June 2022. Exposure: Questionnaires were distributed measuring leadership quality and procedural justice (ie, vertical resources) as well as collaboration culture and coworker support (ie, horizontal resources). Resources were divided into clusters of general low, intermediate vertical and low horizontal, low vertical and high horizontal, intermediate vertical and high horizontal, and general high. Main Outcomes and Measures: Odds ratios (ORs) and 95% CIs were reported from logistic regression models for the associations between the clustering of resources and concurrent and long-term sleep disturbances. Sleep disturbances were measured by self-administered questionnaires. Results: The study identified 114 971 participants with 219 982 participant-observations (151 021 [69%] women; mean [SD] age, 48 [10] years). Compared with participants with general low resources, other groups showed a lower prevalence of sleep disturbances, with the lowest observed in the general high group concurrently (OR, 0.38; 95% CI, 0.37-0.40) and longitudinally after 6 years (OR, 0.52; 95% CI, 0.48-0.57). Approximately half of the participants (27 167 participants [53%]) experienced changes in resource clusters within 2 years. Improvements in vertical or horizontal dimensions were associated with reduced odds of persistent sleep disturbances, and the lowest odds of sleep disturbances was found in the group with improvements in both vertical and horizontal dimensions (OR, 0.53; 95% CI, 0.46-0.62). A corresponding dose-response association with sleep disturbances was observed for decline in resources (eg, decline in both dimensions: OR, 1.74; 95% CI, 1.54-1.97). Conclusions and Relevance: In this cohort study of workplace psychosocial resources and sleep disturbances, clustering of favorable resources was associated with a lower risk of sleep disturbances.

Indexed as

Sleep Wake DisordersWorkplaceCluster AnalysisCohort StudiesFemaleHumansMaleMiddle AgedSleep

Identifiers

PMID37159197
PMCPMC10170336
OpenAlexW4375956073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.