Evidence map›Paper›PMID 33926402›Full record

ArticleBMC psychiatry2021

Social support and depressive symptoms among physicians in tertiary hospitals in China: a cross-sectional study.

Chang Fu, Guowen Wang, Xiuxin Shi, Fenglin Cao

Abstract read
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

4 authors.

Chang FuDepartment of Health Psychology, School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, No. 44 Wenhuaxilu Rd, Jinan, 250012, Shandong, China.
Guowen WangDepartment of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwuweiqilu Rd., Jinan, 250021, Shandong, China.
Xiuxin ShiOffice of Medical Quality Control, Qilu Hospital, Cheeloo College of Medicine, Shandong University, No. 107 Wenhuaxilu Rd, Jinan, 250012, Shandong, China.
Fenglin CaoDepartment of Health Psychology, School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, No. 44 Wenhuaxilu Rd, Jinan, 250012, Shandong, China. fenglin@sdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial support is an important factor for individual's mental health. However, the association between social support and depressive symptoms among physicians in China' tertiary hospitals has not been explored. This study aimed to investigate its association among physicians stratifying by sex.

methodsSix hundred fifty-six physicians were enrolled from 12 tertiary hospitals of Shandong Province, China. Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale. Social support was evaluated using the Social Support Rating Scale. Multiple linear regression analysis was used to examine the relationship between social support and depressive symptoms among physicians.

resultsThe prevalence of depressive symptoms was 42.3% and the average social support score was 38.82 ± 7.53 among physicians. Lower subjective social support scores (male: β = - 0.317, p < 0.001; female: β = - 0.241, p < 0.001) and lower objective social support scores (male: β = - 0.218, p = 0.038; female: β = - 0.277, p = 0.035) were associated with high depressive symptoms among physicians. Lower support utilization scores (β = - 0.472, p < 0.001) were associated with high depressive symptoms among male physicians.

conclusionsChinese physicians had a higher prevalence of depressive symptoms and lower social support than the Chinese general population. Objective and subjective social support were inversely associated with depressive symptoms among male and female physicians while support utilization was inversely associated with depressive symptoms among male rather than female physicians. It is critical to improve physicians' mental health through strengthening social support in China.

Indexed as

DepressionPhysiciansChinaCross-Sectional StudiesFemaleHumansMalePrevalenceSocial SupportSurveys and QuestionnairesTertiary Care CentersDepressive symptomsPhysiciansSex differenceSocial supportTertiary hospitals

Identifiers

PMID33926402
PMCPMC8082214

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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.