Evidence map›Paper›PMID 31841535›Full record

ArticlePloS one2019

Gender differences in the interaction effect of cumulative risk and problem-focused coping on depression among adult employees.

Shi-Min Chen, Pei-Zhen Sun

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
0.8field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  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 at 2 institutions in 1 country.

Shi-Min ChenSchool of Public Administration, China University of Mining and Technology, Xuzhou, China.ORCID 0000-0002-6231-8976
Pei-Zhen SunSchool of Educational Science, Jiangsu Normal University, Xuzhou, China.
China University of Mining and Technology · CNJiangsu Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adult employees suffer from various pressure and their mental health has been paid more and more attention to. This study has two purposes, namely, (1) to investigate the gender differences in the stressors and utilization frequency of problem-focused coping among adult employees and (2) to explore the gender differences in the interaction effect of cumulative risk and problem-focused coping on depression among adult employees. The cumulative risk of employees was assessed in the following six ways: health pressure, family economic pressure, love and marriage problems, conflicts among family members, work stress and friend support. Problem-focused coping was measured by the three dimensions of active coping, planning, and using instrumental support from the Brief COPE scale, and depression was assessed by the Self-rating Depression Scale. The participants consisted of 406 Chinese employees. The results showed that (1) the cumulative risk of male employees was marginally significantly higher than that of female employees; (2) there was no significant difference in the utilization frequency of problem-focused coping between male and female employees; and (3) problem-focused coping moderated the relationship between cumulative risk and depression for male employees but not for female employees. This study indicates that problem-focused coping has a stronger effect on depression for male employees than for female employees.

Indexed as

Adaptation, PsychologicalAdolescentAdultDepressionFemaleHumansMaleOdds RatioRisk FactorsSeverity of Illness IndexSex FactorsStress, PsychologicalSurveys and QuestionnairesYoung Adult

Identifiers

PMID31841535
PMCPMC6913914
OpenAlexW2994975989

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.