Evidence map›Paper›PMID 39900710›Full record

ArticleScientific reports2025

Non-linear effects of self-compassion and negative psychological states on nurses' work engagement.

Hongjuan Chang, Rui Zeng, Qianqian Gao, Yu Zhang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Hongjuan ChangSchool of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Rui ZengSchool of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Qianqian GaoThe First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Yu ZhangHenan Provincial Chest Hospital, Zhengzhou, Henan, China. yyyuuu418@163.com.

Funding

Hubei Province Key Laboratory of Occupational Hazard Identification and Control OHIC2023K02
6 · The paper itself

Abstract

The state has formulated relevant policies to improve nurses' work engagement, but the research on work engagement among clinical nurses and related factors is limited and mostly linear. This study used an online questionnaire to investigate responses from 3352 nurses from East, West, South, North, and Central China. Threshold and saturation effects analysis were used to explore the possible non-linear relationship between self-compassion, negative psychological states, and work engagement. When the self-compassion score was ≤ 92, the work engagement level increased by 0.223 points for every 1-point increase of the self-compassion score, and the difference was statistically significant (β = 0.223, P < 0.001). When the negative psychological states scores were ≤ 41 and ≥ 72, for every 1-point decrease in the negative states score, the level of work engagement decreased by 0.430 and 3.660 points, respectively, and the difference between them was statistically significant (β = - 0.430, - 3.660, P < 0.001). In particular, the threshold effect was the most significant after 72 points. This study reveals the non-linear relationships between self-compassion, negative psychological states, and work engagement among clinical nurses, and it suggests nursing managers should target interventions based on cut-off points to maximize the contribution of self-compassion and negative psychological states to work engagement.

Indexed as

EmpathyNursesWork EngagementAdultChinaFemaleHumansJob SatisfactionMaleMiddle AgedSurveys and QuestionnairesYoung AdultNegative psychological statesNon-linear effectsNursesSelf-compassionWork engagement

Identifiers

PMID39900710
PMCPMC11791100

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.