Evidence map›Paper›PMID 38680510›Full record

ArticleIbrain2023

The mediating role of anxiety and depression in the relationship between coping styles and life satisfaction among frontline medical workers during the COVID-19 pandemic: A cross-sectional study.

Gui-Fang Chen, Ye-Ping Zhang, Zhi-Jie Wei, Xin-Lan Zhang, Jun Liu, Juan Peng, Zu-Cai Xu, Chang-Yin Yu, Jun Zhang

Abstract read
In one paragraph

Article in Ibrain, 2023. 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

9 authors.

Gui-Fang ChenDepartment of Psychiatry Zunyi Medical University Zunyi Guizhou China.ORCID 0000-0003-4809-0706
Ye-Ping ZhangDepartment of Psychiatry Zunyi Medical University Zunyi Guizhou China.
Zhi-Jie WeiDepartment of Psychiatry Zunyi Medical University Zunyi Guizhou China.
Xin-Lan ZhangDepartment of Psychiatry Zunyi Medical University Zunyi Guizhou China.
Jun LiuDepartment of Psychiatry Zunyi Medical University Zunyi Guizhou China.
Juan PengDepartment of Psychiatry Zunyi Medical University Zunyi Guizhou China.
Zu-Cai XuDepartment of Neurology Zunyi Medical University Zunyi Guizhou China.
Chang-Yin YuDepartment of Neurology Zunyi Medical University Zunyi Guizhou China.
Jun ZhangDepartment of Psychiatry Zunyi Medical University Zunyi Guizhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine the mediating role of anxiety and depression in the relationship between coping styles and life satisfaction among frontline medical workers during the COVID-19 pandemic. Five hundred and fourteen frontline medical workers from Zunyi were recruited to complete questionnaires, including the Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), Satisfaction with Life Scale (SWLS), and Simplified Coping Style Questionnaire (SCSQ). SPSS 24.0 was used to measure the characteristics of anxiety, depression, life satisfaction, and coping styles. We found that the prevalence rates of anxiety and depression among study participants were 22.57% and 18.29%, respectively. Besides, anxiety was positively correlated with depression; anxiety and depression were positively correlated with passive coping style but negatively correlated with life satisfaction and active coping style; life satisfaction was positively correlated with active coping style and negatively correlated with passive coping style (all

Indexed as

anxietycoping styleCOVID‐19depressionlife satisfactionmediation effect

Identifiers

PMID38680510
PMCPMC11045195

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.