Evidence map›Paper›PMID 41525017›Full record

ArticleJournal of religion and health2026

Personality Perspective on Moral Injury Among Chinese Healthcare Workers: A Network Analysis.

Lei Ren, Kuiliang Li

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of religion and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

2 authors.

Lei RenMilitary Psychology Section, Logistics University of PAP, Huizhihuan Road 1, Tianjin, China. rl_fmmu@163.com.ORCID http://orcid.org/0000-0002-5770-3271
Kuiliang LiSchool of Psychology, Shaanxi Normal University, South Chang'an Road 199, Xi'an, 710062, China. risyaiee@msn.cn.ORCID http://orcid.org/0000-0002-1653-5419

Funding

Dr. Lei Ren's Start-up Fund at Logistics University of PAP WHB202501
6 · The paper itself

Abstract

Existing research has established a high prevalence of moral injury (MI) among healthcare workers and its association with severe negative outcomes, underscoring the need to elucidate its underlying mechanisms. Although personality traits are theorized to predispose individuals to MI, direct empirical evidence for this relationship remains scarce. This study recruited 439 physicians (240 female) and 562 nurses (527 female) from three hospitals in southern China. Participants were assessed for MI symptoms, Big Five (BF) personality traits, Light Triad (LT) traits, and Dark Triad (DT) traits. Using network analysis, we constructed the BF-LT-DT-MI network to identify the trait-to-symptom connections. Bridge expected influence (BEI) was computed to quantify the bridging role of these traits toward the MI symptoms cluster. In the BF-LT-DT-MI network, trait-to-symptom connections were distinct (e.g., Agreeableness-Loss of trust; Neuroticism-Loss of meaning; Conscientiousness-Loss of faith; Faith in Humanity-Loss of trust; Humanism-Loss of faith; Kantianism-Loss of faith; Machiavellianism-Self-condemnation; Psychopathy-Feeling betrayed; Psychopathy-Self-condemnation). Neuroticism, Machiavellianism and Psychopathy had the highest positive BEIs, whereas Conscientiousness, Agreeableness, Extraversion, and Faith in Humanity had the highest negative BEIs. Our findings provide novel insights into MI through the lens of personality and may offer empirical targets for early screening, prevention, and intervention among healthcare workers. The clinical implications are discussed.

Indexed as

Health PersonnelMoralsNursesPersonalityPhysiciansAdultChinaFemaleHumansMaleMiddle AgedBig Five personality traitsDark Triad traitsHealthcare workersLight Triad traitsMoral injuryNetwork analysis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.