Evidence map›Paper›PMID 36412125›Full record

ArticleEuropean journal of translational myology2022

Effects of workload and job stress on the shift work disorders among nurses: PLS SEM modeling.

Keivan Saedpanah, Mohammad Ghasemi, Hesam Akbari, Amir Adibzadeh, Hamed Akbari

Abstract read
In one paragraph

Article in European journal of translational myology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Observational
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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.

Keivan SaedpanahHealth Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran. Keivan.Saedpanah@gmail.com.
Mohammad GhasemiHealth Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran. mghmed@yahoo.com.
Hesam AkbariHealth Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran. hesam120@yahoo.com.
Amir AdibzadehDepartment of Environmental Health Engineering, School of Public Health, Baqiyatallah University of Medical Sciences, Tehran. adibzadeh_251@yahoo.com.
Hamed AkbariHealth Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran. ha.akbari727@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nurses, as the largest forces in the health system, are always challenged with various work responsibilities such as long working hours, lack of manpower and death of patients. This study aimed at providing a model of the relationship between workload and physical and mental health, sleep disorders, and individual and family problems by the mediation role of job stress. The present study is a cross-sectional study that was conducted on 300 nurses in a specialty and sub-specialty hospital in Tehran. For this reason, various questionnaires including demographic, survey of shift workers (SOS) and job stress questionnaires were used to collect the desired data. The proposed model was presented using structural equation modeling method based on Smart-PLS and SPSS-20 software. The results show that workload has an effect on job stress (β=0.747), mental health (β=-0.291), Physical health (β=-0.253), sleep quality (β=-0.234) and personal and family problems (β=-0.206). Also the results of this study show that job stress has an effect on mental health (β=-0.295), Physical health (β=-0.349), sleep quality (β=-0.295) and Personal and family problems (β=-0.441). In conclusion, results showed that the data fitted well with the model and that workload is associated with physical and mental problems, sleep disorders and individual and family problems both directly and indirectly through job stress mediation.

Identifiers

PMID36412125
PMCPMC10141747

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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.