Evidence map›Paper›PMID 39455956›Full record

ArticleHuman resources for health2024

Comparison of depressive symptoms among emergency physicians and the general population in China: a cross-sectional study based on national data.

Nan Jiang, Hongmei Chen, Xiaoxv Yin, Jing Wang, Yafei Wu, Mengge Tian, Jiali Zhang, Zhenyuan Chen, Jianxiong Wu, Chuanzhu Lv and 2 more

Abstract readComparative Study
In one paragraph

Article in Human resources for health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

12 authors.

Nan JiangDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Hongmei ChenSchool of Nursing, Wuchang University of Technology, Wuhan, People's Republic of China.
Xiaoxv YinDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Jing WangDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Yafei WuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Mengge TianDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Jiali ZhangDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Zhenyuan ChenDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Jianxiong WuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Chuanzhu LvDepartment of Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
Fengjie YangDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China. yangfjml@126.com.
Yanhong GongDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China. gongyanhong@hust.edu.cn.ORCID 0000-0002-7838-1996

Funding

Department of Science and Technology of Hainan Province, Key Research and Development Program ZDYF2020112Department of Science and Technology of Hainan Province, Major Science and Technology Projects ZDKJ202004
6 · The paper itself

Abstract

backgroundWhile physicians are considered to be more susceptible to developing depressive symptoms, empirical data are lacking. The study aims to compare the risk of depressive symptoms between emergency physicians and the general population in China based on national data.

methodsThis was a national cross-sectional study. 10 457 emergency physicians and 101 120 participants from the general population were investigated from July 2018 to August 2018 and January 2019 to February 2019, respectively. PHQ-9 was used to measure depressive symptoms, and a score ≥ 10 indicates major depression. Propensity score matching was adopted to balance the characteristics between emergency physicians and the general population. Multinomial logistic regression model was used to examine the association between occupational groups and the severity of depressive symptoms. Binary logistic regression model was performed to explore the risk factors of major depression among emergency physicians.

resultsThe prevalence of major depression among emergency physicians was 35.7%, whereas among the general population was 13.9%. Emergency physicians had a 3.65 times higher risk of major depression than the general population. And emergency physician was significantly associated with mild (OR: 3.12, 95% CI 2.95-3.30), moderate (OR: 4.94, 95% CI 4.60-5.30), moderately severe (OR: 9.48, 95% CI 8.61-10.44), and severe depressive symptoms (OR: 14.18, 95% CI 12.47-16.13) compared with none depressive symptoms. Even after matching, the results remained consistent. Factors associated with major depression among emergency physicians included bachelor degree or above (OR: 1.22, 95% CI 1.06-1.40), worked long years (OR: 1.26, 95% CI 1.08-1.46 for 1-5 years; OR: 1.56, 95% CI 1.32-1.84 for ≥ 6 years), experienced workplace violence (OR: 2.51, 95% CI 2.16-2.94), worked more night shifts per month (OR: 1.33, 95% CI 1.16-1.51 for 6-10 times; OR: 1.83, 95% CI 1.58-2.11 for ≥ 11 times), smoked (OR: 1.64, 95% CI 1.47-1.84), and effort-reward imbalance (OR: 4.18, 95% CI 3.62-4.85).

conclusionsEmergency physicians had a higher risk of depressive symptoms than the general population. There is a need for greater awareness of the mental health issues faced by emergency physicians.

Indexed as

DepressionPhysiciansAdultChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMajor Depressive DisorderMaleMiddle AgedPrevalenceRisk FactorsDepressive symptomsEmergency physicianGeneral populationPropensity score matching

Identifiers

PMID39455956
PMCPMC11515197

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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.