Evidence map›Paper›PMID 40355607›Full record

ArticleScientific reports2025

Latent profiles of job demands and job resources and their association with work wellbeing among nurses in South Korea.

Igor Portoghese, Ari Min, Maura Galletta

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers 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

3 authors.

Igor PortogheseDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Ari MinDepartment of Nursing, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, South Korea. amin@cau.ac.kr.
Maura GallettaDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of underlying profiles of nurses exhibiting different patterns of job demands (JD) and job resources (JR) is critical for developing targeted interventions that promote healthy work practices and enhance overall well-being within the nursing working population. This study aimed to adopt a person-centered approach to investigate patterns of JD and JR and their association with job burnout, work engagement, and general well-being among Korean nurses. Secondary data analysis was conducted using data from the Sixth Korean Working Conditions Survey. In total, 449 nurses were included in the analysis. Preliminary measurement models were assessed, and latent profile analysis was used to extract job profiles. Finally, we investigated the association between the profiles and work-related well-being. Five latent profiles best represented JD/JR configurations: low demanding job (9.7%), poor job (6.6%), balanced job (42.7%), demanding job (21.4%), and severely demanding job (19.5%). In addition, the highest levels of perceived well-being were reported in relation to low demanding and poor job profiles, whereas poor and severely demanding job profiles were associated with a higher risk of low work engagement and high physical and emotional exhaustion. In this study, the findings showed that nurses in demanding or severely demanding work profiles experienced more emotional and physical exhaustion than those in low demanding or poor work profiles. Work engagement was lowest in severely demanding profiles, whereas perceived well-being was highest among nurses in the low demanding work environments. The study findings can be used to support nurse managers and administrators in developing strategies to reduce JD while maintaining an average level of JR support.

Indexed as

Burnout, ProfessionalJob SatisfactionNursesWorkloadAdultFemaleHumansMaleMiddle AgedRepublic of KoreaSurveys and QuestionnairesWork EngagementWorkplaceJob burnoutJob demands–resource modelLatent profile analysisNurse well-beingWork engagement

Identifiers

PMID40355607
PMCPMC12069683

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.