中国急诊医生与普通人群抑郁症状的比较:基于全国数据的横断面研究。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-25 DOI:10.1186/s12960-024-00952-7
Nan Jiang, Hongmei Chen, Xiaoxv Yin, Jing Wang, Yafei Wu, Mengge Tian, Jiali Zhang, Zhenyuan Chen, Jianxiong Wu, Chuanzhu Lv, Fengjie Yang, Yanhong Gong
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引用次数: 0

摘要

背景:虽然医生被认为更容易出现抑郁症状,但缺乏实证数据。本研究旨在根据全国数据,比较中国急诊医生和普通人群出现抑郁症状的风险:这是一项全国性横断面研究。分别于2018年7月至2018年8月和2019年1月至2019年2月对10 457名急诊医生和101 120名普通人群参与者进行了调查。采用PHQ-9测量抑郁症状,得分≥10分表示重度抑郁。为了平衡急诊医生和普通人群之间的特征,采用了倾向得分匹配法。采用多项式逻辑回归模型研究职业组别与抑郁症状严重程度之间的关系。采用二元逻辑回归模型探讨急诊医生患重度抑郁症的风险因素:结果:急诊医生的重度抑郁症患病率为 35.7%,而普通人群的患病率为 13.9%。急诊医生患重度抑郁症的风险是普通人群的 3.65 倍。与无抑郁症状的人相比,急诊医生与轻度(OR:3.12,95% CI 2.95-3.30)、中度(OR:4.94,95% CI 4.60-5.30)、中度重度(OR:9.48,95% CI 8.61-10.44)和重度抑郁症状(OR:14.18,95% CI 12.47-16.13)明显相关。即使在匹配后,结果仍保持一致。急诊医生中与重度抑郁症相关的因素包括:本科或以上学历(OR:1.22,95% CI 1.06-1.40)、工作年限长(1-5 年 OR:1.26,95% CI 1.08-1.46;≥ 6 年 OR:1.56,95% CI 1.32-1.84)、经历过工作场所暴力(OR:2.51,95% CI 2.16-2.94)、每月上夜班次数较多(6-10 次 OR:1.33,95% CI 1.16-1.51;≥ 11 次 OR:1.83,95% CI 1.58-2.11)、吸烟(OR:1.64,95% CI 1.47-1.84)、努力与回报不平衡(OR:4.18,95% CI 3.62-4.85):结论:与普通人群相比,急诊医生出现抑郁症状的风险更高。有必要提高人们对急诊医生面临的心理健康问题的认识。
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Comparison of depressive symptoms among emergency physicians and the general population in China: a cross-sectional study based on national data.

Background: While 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.

Methods: This 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.

Results: The 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).

Conclusions: Emergency 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.

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