Evidence map›Paper›PMID 34629068›Full record

ArticleBMC nursing2021

Alexithymia, social support, depression, and burnout among emergency nurses in China: a structural equation model analysis.

Juhong Pei, Xinglei Wang, Haixia Chen, Hongchen Zhang, Ruiling Nan, Jing Zhang, Xinman Dou

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 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

7 authors at 1 institution in 1 country.

Juhong Pei *The first clinical medical college, Lanzhou University, Lanzhou, Gansu, China.
Xinglei Wang *Department of Nursing, Lanzhou University Second Hospital, No. 82, cuiyingmen, Lanzhou, 730000, Gansu, China.
Haixia ChenSchool of Nursing, Lanzhou university, Lanzhou, China.
Hongchen ZhangSchool of Nursing, Lanzhou university, Lanzhou, China.
Ruiling NanSchool of Nursing, Lanzhou university, Lanzhou, China.
Jing ZhangDepartment of Nursing, Lanzhou University Second Hospital, No. 82, cuiyingmen, Lanzhou, 730000, Gansu, China.
Xinman DouSchool of Nursing, Lanzhou university, Lanzhou, China. Douxm@lzu.edu.cn.
Lanzhou University · CN

Funding

lanzhou science and technology development plan project 2020-XG-57
6 · The paper itself

Abstract

backgroundSeveral factors are associated with the incidence of burnout, including alexithymia, social support, and depression. The relative importance of these three key parameters as mediators of burnout, however, is not well understood. In addition, there have been few studies to date specifically examining the association between alexithymia and burnout among nurses in China. PURPOSE: To evaluate the relationship of burnout with alexithymia, social support, and depression across emergency department nurses in China.

methodsThis descriptive, cross-sectional survey was conducted using a convenience sampling methodology to survey nurses responsible for direct emergency care (n = 413) from 18 tertiary hospitals in Western, Eastern, Northern, and Southern China between May 2020 and June 2020. A structural equation modeling approach was then used to assess a hypothetical model wherein alexithymia both directly and indirectly affects burnout among emergency nurses via impacting the incidence of depression and perceived social support.

resultsResults supported all driving hypotheses. Alexithymia was positive direct correlated with burnout (β = 0.35; P < 0.001) and depression (β = 0.50; P < 0.001), and exhibited a negative direct effect on social support (β = - 0.14; P = 0.041). Depression was associated with burnout, both directly (β = 0.24; P < 0.001) and indirectly (β = 0.15; P < 0.001) through its relationship with social support. Alexithymia was the factor most strongly associated with burnout, and it was able to affect burnout indirectly through depression and social support.

conclusionsWe found that among emergency nurses in China, alexithymia was correlated with burnout, depression, and social support. Alexithymia was the factor most strongly associated with burnout. These data suggest that providing better social support and alleviating alexithymia may decrease rates of burnout among emergency nurses.

Indexed as

AlexithymiaBurnoutChinaDepressionNursesSocial supportStructural equation modeling

Identifiers

PMID34629068
PMCPMC8503998
OpenAlexW3205161739

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.