Evidence map›Paper›PMID 38311767›Full record

ArticleBMC nursing2024

A network analysis bridging the gap between the big five personality traits and burnout among medical staff.

Yifei Wang, Lin Wu, Chang Liu, Kuiliang Li, Mei Wang, Tingwei Feng, Qingyi Wang, Wu Chao, Lei Ren, Xufeng Liu

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.1field-weighted citation impact, top 6% 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, 8 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Yifei Wang *Department of Military Medical Psychology, Air Force Medical University, 169 Street, 710032, Xi'an, China.
Lin Wu *Department of Military Medical Psychology, Air Force Medical University, 169 Street, 710032, Xi'an, China.
Chang LiuBrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 3168, Clayton, Australia.
Kuiliang LiDepartment of Psychology, Army Medical University, 400038, Chongqing, China.
Mei WangDepartment of infectious diseases, Juxian Hospital of Traditional Chinese Medicine, Shandong Traditional Chinese Medicine University, 23 Street, 276500, Rizhao, China.
Tingwei FengDepartment of Military Medical Psychology, Air Force Medical University, 169 Street, 710032, Xi'an, China.
Qingyi WangDepartment of Foreign Language Teaching and Research of Basic Ministry, Air Force Medical University, 169 Street, 710032, Xi'an, China.
Wu ChaoSchool of Nursing, Air Force Medical University, 169 Street, 710032, Xi'an, China.
Lei RenMilitary Psychology Section, Logistics University of PAP, 300309, Tianjin, China. rl_fmmu@163.com.
Xufeng LiuDepartment of Military Medical Psychology, Air Force Medical University, 169 Street, 710032, Xi'an, China. lxf_fmmu@163.com.
Air Force Medical University · CNAcademy of Military Transportation · CNAir Force Engineering University · CNArmy Medical University · CNMonash University · AU

Funding

Research on the characteristics of attention network based on multi-modal indicators 2023KXKT061The Development Mechanism and Adustment Strategy of Nursing Staff Burnout in the post-epidemic Era 2023KXKT018The Key Project of Air Force Equipment Comprehensive Research KJ2022A000415
6 · The paper itself

Abstract

backgroundBurnout is a common issue among medical professionals, and one of the well-studied predisposing factors is the Big Five personality traits. However, no studies have explored the relationships between these traits and burnout from a trait-to-component perspective. To understand the specific connections between each Big Five trait and burnout components, as well as the bridging effects of each trait on burnout, we employed network analysis.

methodsA cluster sampling method was used to select a total of 420 Chinese medical personnel. The 15-item Chinese Big Five Personality Inventory-15 (CBF-PI-15) assessed the Big Five personality traits, while the 15-item Maslach Burnout Inventory-General Survey (MBI-GS) assessed burnout components. Network analysis was used to estimate network structure of Big Five personality traits and burnout components and calculate the bridge expected influence.

resultsThe study revealed distinct and clear relationships between the Big Five personality traits and burnout components. For instance, Neuroticism was positively related to Doubt significance and Worthwhile, while Conscientiousness was negatively related to Accomplish all tasks. Among the Big Five traits, Neuroticism displayed the highest positive bridge expected influence, while Conscientiousness displayed the highest negative bridge expected influence.

conclusionsThe network model provides a means to investigate the connections between the Big Five personality traits and burnout components among medical professionals. This study offers new avenues for thought and potential targets for burnout prevention and treatment in medical personnel, which can be further explored and tested in clinical settings.

Indexed as

Big five personality traitsBurnoutMedical staffNetwork analysis

Identifiers

PMID38311767
PMCPMC10838458
OpenAlexW4391520469

What OpenQuestion holds

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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.