Evidence map›Paper›PMID 38186729›Full record

ArticleWorld journal of psychiatry2023

Relationship between nightmare distress and depressive symptoms in Chinese emergency department nurses: A cross-sectional study.

Qing-Wen Gan, Ran Yu, Ze-Rong Lian, Yi-Ling Yuan, Yuan-Ping Li, Li-Lan Zheng

Abstract read
In one paragraph

Article in World journal of psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Qing-Wen GanSchool of Nursing, Nanchang University, Nanchang 330006, Jiangxi Province, China.
Ran YuSchool of Nursing, Nanchang University, Nanchang 330006, Jiangxi Province, China.
Ze-Rong LianDepartment of Nursing, Heping Hospital Affiliated to Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
Yi-Ling YuanSchool of Nursing, Nanchang University, Nanchang 330006, Jiangxi Province, China.
Yuan-Ping LiSchool of Nursing, Nanchang University, Nanchang 330006, Jiangxi Province, China.
Li-Lan ZhengDepartment of Nursing, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China. 2737424497@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost of the recent research on nightmare distress and depressive symptoms has focused on adolescents and students, with less research on the nurse population. Emergency department nurses are at high risk for nightmare distress and depressive symptoms, but no studies have been conducted to explore the relationship between the two; thus, further investigation is needed.

aimTo understand the relationship between nightmare distress and depressive symptoms among emergency department nurses in China.

methodsA convenience sampling method was used to select 280 emergency department nurses from nine provinces, including Jiangxi, Sichuan, Jiangsu, and Shanxi Provinces. The Chinese version of the Nightmare Distress Questionnaire and the Center for Epidemiological Studies Depression Scale (CES-D) were administered.

resultsEmergency department nurses' nightmare distress scores were positively associated with depressive symptom scores (

conclusionNightmare distress is closely associated with depressive symptoms in Chinese emergency department nurses, and early intervention is recommended for professionals with this type of sleep disorder to reduce the occurrence of depressive symptoms.

Indexed as

ChinaDepressive symptomsEmergency department nursesNightmare distressObservational studyWorkplace violence

Identifiers

PMID38186729
PMCPMC10768490

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.