Evidence map›Paper›PMID 36969634›Full record

ArticleFrontiers in public health2023

Association between psychological capital and depressive symptoms during COVID-19: The mediating role of perceived social support and the moderating effect of employment pressure.

Yalian Huang, Xin Lin, Jian Yang, Hefei Bai, Ping Tang, Guangzhe Frank Yuan

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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
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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

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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

10 citing papers in PubMed.

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  2. [Latent profile analysis of psychological capital and antenatal depression among pregnant women].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
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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

6 authors.

Yalian HuangSichuan Research Center of Applied Psychology, Chengdu Medical College, The First Affiliated Hospital, Chengdu, China.
Xin LinSchool of Psychology, Chengdu Medical College, The First Affiliated Hospital, Chengdu, China.
Jian YangSchool of Clinical Medicine, Chengdu Medical College, The First Affiliated Hospital, Chengdu, China.
Hefei BaiSchool of Psychology, Chengdu Medical College, The First Affiliated Hospital, Chengdu, China.
Ping TangSichuan Research Center of Applied Psychology, Chengdu Medical College, The First Affiliated Hospital, Chengdu, China.
Guangzhe Frank YuanDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Coronavirus Disease 2019 (COVID-19) pandemic affects individuals' mental health that can result in fear of getting COVID-19 infection and depression. Prior research has demonstrated that both psychological capital and perceived social support are related to the severity of depression. Yet no study explored the direction of associations between these factors. This undermines the validity of psychological capital as a basis for health interventions. Methods: This study aimed to explore the association between psychological capital, perceived social support, employment pressure, and depressive symptoms during COVID-19. A cross-sectional design was employed in a sample of 708 Chinese senior medical students who were asked to complete an online questionnaire survey. Results: Results indicated that psychological capital negatively predicts depressive symptoms (β = -0.55, Discussion: The current study highlights that it is of great significance to address Chinese medical students' employment pressure and improve their mental health during the COVID-19 epidemic.

Indexed as

COVID-19Cross-Sectional StudiesDepressionEmploymentHumansSocial Supportdepressionemployment pressuremedical studentsmoderated mediationpsychological health

Identifiers

PMID36969634
PMCPMC10033862

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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.