Cargando…

Prevalence and predictors of depression among emergency physicians: a national cross-sectional study

BACKGROUND: Physicians' depression can damage their physical and mental health and can also lead to prescribing errors and reduced quality of health care. Emergency physicians are a potentially high-risk community, but there have been no large-sample studies on the prevalence and predictors of...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yueming, Shen, Xin, Feng, Jing, Lei, Zihui, Zhang, Weixin, Song, Xingyue, Lv, Chuanzhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795725/
https://www.ncbi.nlm.nih.gov/pubmed/35090424
http://dx.doi.org/10.1186/s12888-022-03687-8
_version_ 1784641135618031616
author Chen, Yueming
Shen, Xin
Feng, Jing
Lei, Zihui
Zhang, Weixin
Song, Xingyue
Lv, Chuanzhu
author_facet Chen, Yueming
Shen, Xin
Feng, Jing
Lei, Zihui
Zhang, Weixin
Song, Xingyue
Lv, Chuanzhu
author_sort Chen, Yueming
collection PubMed
description BACKGROUND: Physicians' depression can damage their physical and mental health and can also lead to prescribing errors and reduced quality of health care. Emergency physicians are a potentially high-risk community, but there have been no large-sample studies on the prevalence and predictors of depression among this population. METHODS: A nationally representative cross-sectional survey of 15,243 emergency physicians was conducted in 31 provinces across China between July and September 2019. Multivariable logistic regression analysis was performed to identify predictors of depression. RESULTS: A total of 35.59% of emergency physicians suffered from depression. Emergency physicians who were male (OR=0.91) and older [>37 and ≤43 (OR=0.83) or >43 (OR=0.71)], had high (OR=0.63) or middle (OR=0.70) level income, and participated in physical inactivity (OR=0.85) were not more likely to suffer depression. Meanwhile, those who were unmarried (OR=1.13) and smokers (OR=1.12) had higher education levels [Bachelor’s degree (OR=1.57) or Master’s degree or higher (OR=1.82)], long work tenure [>6 and ≤11 (OR=1.15) or >11;11 (OR=1.19)], poorer health status [fair (OR=1.67) or poor (OR=3.79)] and sleep quality [fair (OR=2.23) or poor (OR=4.94)], a history of hypertension (OR=1.13) and coronary heart disease (OR=1.57) and experienced shift work (OR=1.91) and violence (OR=4.94)]. CONCLUSION: Nearly one third of emergency physicians in China suffered from depression. Targeted measures should be taken to reduce the prevalence of depression to avoid a decline in health care quality and adversely impact the supply of emergency medical services.
format Online
Article
Text
id pubmed-8795725
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-87957252022-01-28 Prevalence and predictors of depression among emergency physicians: a national cross-sectional study Chen, Yueming Shen, Xin Feng, Jing Lei, Zihui Zhang, Weixin Song, Xingyue Lv, Chuanzhu BMC Psychiatry Research BACKGROUND: Physicians' depression can damage their physical and mental health and can also lead to prescribing errors and reduced quality of health care. Emergency physicians are a potentially high-risk community, but there have been no large-sample studies on the prevalence and predictors of depression among this population. METHODS: A nationally representative cross-sectional survey of 15,243 emergency physicians was conducted in 31 provinces across China between July and September 2019. Multivariable logistic regression analysis was performed to identify predictors of depression. RESULTS: A total of 35.59% of emergency physicians suffered from depression. Emergency physicians who were male (OR=0.91) and older [>37 and ≤43 (OR=0.83) or >43 (OR=0.71)], had high (OR=0.63) or middle (OR=0.70) level income, and participated in physical inactivity (OR=0.85) were not more likely to suffer depression. Meanwhile, those who were unmarried (OR=1.13) and smokers (OR=1.12) had higher education levels [Bachelor’s degree (OR=1.57) or Master’s degree or higher (OR=1.82)], long work tenure [>6 and ≤11 (OR=1.15) or >11;11 (OR=1.19)], poorer health status [fair (OR=1.67) or poor (OR=3.79)] and sleep quality [fair (OR=2.23) or poor (OR=4.94)], a history of hypertension (OR=1.13) and coronary heart disease (OR=1.57) and experienced shift work (OR=1.91) and violence (OR=4.94)]. CONCLUSION: Nearly one third of emergency physicians in China suffered from depression. Targeted measures should be taken to reduce the prevalence of depression to avoid a decline in health care quality and adversely impact the supply of emergency medical services. BioMed Central 2022-01-28 /pmc/articles/PMC8795725/ /pubmed/35090424 http://dx.doi.org/10.1186/s12888-022-03687-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Yueming
Shen, Xin
Feng, Jing
Lei, Zihui
Zhang, Weixin
Song, Xingyue
Lv, Chuanzhu
Prevalence and predictors of depression among emergency physicians: a national cross-sectional study
title Prevalence and predictors of depression among emergency physicians: a national cross-sectional study
title_full Prevalence and predictors of depression among emergency physicians: a national cross-sectional study
title_fullStr Prevalence and predictors of depression among emergency physicians: a national cross-sectional study
title_full_unstemmed Prevalence and predictors of depression among emergency physicians: a national cross-sectional study
title_short Prevalence and predictors of depression among emergency physicians: a national cross-sectional study
title_sort prevalence and predictors of depression among emergency physicians: a national cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795725/
https://www.ncbi.nlm.nih.gov/pubmed/35090424
http://dx.doi.org/10.1186/s12888-022-03687-8
work_keys_str_mv AT chenyueming prevalenceandpredictorsofdepressionamongemergencyphysiciansanationalcrosssectionalstudy
AT shenxin prevalenceandpredictorsofdepressionamongemergencyphysiciansanationalcrosssectionalstudy
AT fengjing prevalenceandpredictorsofdepressionamongemergencyphysiciansanationalcrosssectionalstudy
AT leizihui prevalenceandpredictorsofdepressionamongemergencyphysiciansanationalcrosssectionalstudy
AT zhangweixin prevalenceandpredictorsofdepressionamongemergencyphysiciansanationalcrosssectionalstudy
AT songxingyue prevalenceandpredictorsofdepressionamongemergencyphysiciansanationalcrosssectionalstudy
AT lvchuanzhu prevalenceandpredictorsofdepressionamongemergencyphysiciansanationalcrosssectionalstudy