Evidence map›Paper›PMID 40898270›Full record

ArticleBMC nursing2025

The effect of malicious and benign envy on career plateau in nurses: a cross-sectional study.

Şehrinaz Polat, Tuğba Yeşilyurt Sevim, Nilgün Göktepe, Leyla Afşar-Doğrusöz

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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

4 authors.

Şehrinaz PolatDepartment of Nursing Management, Faculty of Nursing, Istanbul University, Istanbul, Türkiye. polats@istanbul.edu.tr.ORCID http://orcid.org/0000-0002-1884-897X
Tuğba Yeşilyurt SevimNursing Department, Faculty of Health Sciences, Istinye University, Istanbul, Türkiye.ORCID http://orcid.org/0000-0002-7626-960X
Nilgün GöktepeNursing Department, Faculty of Health Sciences, Ordu University, Ordu, Türkiye.ORCID http://orcid.org/0000-0003-3567-7399
Leyla Afşar-DoğrusözQuality Department, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.ORCID http://orcid.org/0000-0003-4137-4191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnvy and career plateau are common among nurses. Envy can result from upward social comparisons and negatively affect individuals’ behaviors, emotions, and organizational perceptions. This study aimed to determine the effect of nurses’ personal and professional characteristics and workplace envy levels on perceptions of career plateau.

methodsThis cross-sectional study was conducted using an online survey distributed to nurses working in university, private, and public hospitals in Türkiye. The study’s sample consisted of 431 nurses, and data collection tools included a Nurse Information Form (including demographic and work-related variables), the Career Plateau Survey, and the Benign and Malicious Envy Scale (BeMaS-T). Descriptive statistics, Pearson correlation analysis, and multivariate linear regression analysis (enter) were used to analyze the data.

resultsThe mean scores of the nurses’ job content career plateau, hierarchical career plateau, BeMaS-T malicious envy, and benign envy scales were 3.24 ± 0.66, 3.39 ± 1.17, 4.19 ± 1.42, and 4.12 ± 1.21, respectively. It was found that the nurses’ marital status influenced the perception of job content (R2 = 0.043, F = 3.784, p = 0.002), and the status of voluntarily choosing the nursing profession, the type of institution, and the perception of malicious envy influenced the perception of hierarchical career plateau (R2 = 0.165, F = 8.290, p > 0.001).

conclusionsMalicious envy and high levels of perceived career plateau are not desirable situations in hospitals because they have the potential to negatively affect patient care, nurses, and the organization, and effective interventions should be put in place to reduce them.

Indexed as

Benign envyHierarchical career plateauJob content career plateauMalicious envyNursing

Identifiers

PMID40898270
PMCPMC12403576

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LicenceCC BY-NC-ND
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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.