Evidence map›Paper›PMID 36524140›Full record

ArticleIranian journal of nursing and midwifery research

Analysis the Effect of Job Strain on Nurses' Quality of Work-Life: A Mediating and Moderating Model.

Sara Mohammadi, Belghis Bavarsad, Amin Hendighomashi

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Sara MohammadiDepartment of Management, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
Belghis BavarsadDepartment of Management, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
Amin HendighomashiDepartment of Management, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
Shahid Chamran University of Ahvaz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One of the most important issues in all organizations is to improve performance of human resources to achieve goals. Therefore, it is necessary plans and solutions to reduce Job Strain (JS) and then increase Organizational Citizenship Behaviors (OCB), and Quality of Work-Life (QWL). The purpose of this study is to investigate the effect of JS on QWL with mediating role of OCB and moderator of employment status. Materials and Methods: This cross-sectional study was conducted on 300 nurses who were non-randomly voluntary selected among nurses working in seven educational hospitals in Ahvaz, Iran. Data were collected using demographic and occupational characteristics questionnaire and JS questionnaire with 12 items, OCB with 16 items & QWL with 26 items in the 5-point Likert scale. Data analysis was performed in SPSS22 using descriptive and inferential statistics, and structural equation modeling with SmartPLS3. Results: The results indicated the mean (SD) score of 49.56 (6.68) for JS (more than normal) and 58.84 (5.94) and 49.88 (7.69) for QWL and OCB, respectively. Spearman correlation coefficients show that JS has a negative relationship with QWL (r = -0.69, Conclusions: According to the results, job stress in nurses of Ahvaz hospitals was high and QWL was moderate (or less). Therefore, increased job stress leads to reduced QWL and OCBs of nurses. Also the employment Status and job security that it provides can modify this impact.

Indexed as

Irannursesoccupational stressquality of life

Identifiers

PMID36524140
PMCPMC9745850
OpenAlexW4311825935

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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.