| 黄煜文,余静雅,黄轮炽,王志忠,李永胜.东莞市医务人员与社区居民抑郁-焦虑症状的网络分析比较[J].四川精神卫生杂志,2026,(3):274-281.Huang Yuwen,Yu Jingya,Huang Lunchi,Wang Zhizhong,Li Yongsheng,Network analysis comparison of depression-anxiety symptoms between medical staff and community residents in Dongguan[J].SICHUAN MENTAL HEALTH,2026,(3):274-281 |
| 东莞市医务人员与社区居民抑郁-焦虑症状的网络分析比较 |
| Network analysis comparison of depression-anxiety symptoms between medical staff and community residents in Dongguan |
| 投稿时间：2025-06-18 |
| DOI：10.11886/scjsws20250618001 |
| 中文关键词: 职业心理健康 医务人员 抑郁 焦虑 网络分析 |
| 英文关键词:Occupational mental health Medical staff Depression Anxiety Network analysis |
| 基金项目:2022年东莞市社会发展科技项目（项目名称：东莞市医务人员心理健康调查，项目编号：20221800902552） |
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| 中文摘要: |
| 背景 医务人员职业心理健康问题日益受到关注，既往研究多聚焦于流行病学特征及影响因素分析，对医务人员抑郁-焦虑症状网络结构的异质性特征尚缺乏充分认识。目的 比较医务人员与社区居民抑郁-焦虑症状网络的差异，为医务人员心理健康促进提供参考。方法 于2022年6月1日—2024年12月31日，采用分层随机抽样方法，抽取广东省东莞市9个镇街（园区）的公立医院和社区卫生服务中心的1 959名医务人员以及该区域的2 412名社区居民为研究对象。采用一般情况调查表、患者健康问卷抑郁量表（PHQ-9）以及广泛性焦虑障碍量表（GAD-7）进行调查。使用R 4.0.0的qgraph包进行网络可视化，使用networktools包计算网络的中心性指标，使用bootnet包进行网络结构可靠性评估，使用NetworkComparisionTest包比较医务人员与社区居民抑郁-焦虑症状网络的差异。结果 共1 792名医务人员和2 110名社区居民完成调查。医务人员轻、中、重度抑郁症状检出人数分别为381人（21.26%）、217人（12.11%）、169人（9.43%）；社区居民分别为322人（15.26%）、98人（4.64%）、66人（3.13%）。医务人员轻、中、重度焦虑症状检出人数分别为411人（22.94%）、126人（7.03%）、93人（5.19%）；社区居民分别为320人（15.17%）、73人（3.46%）、18人（0.85%）。两组抑郁症状和焦虑症状检出率比较，差异均有统计学意义（χ2=152.012、205.953，P均<0.01）。网络分析结果显示，医务人员的核心症状群为“不能控制的担忧”“精神运动迟缓”“不能放松”“情绪低落”，社区居民的核心症状群为“不能控制的担忧”“不能放松”“自卑感”“情绪低落”；两组人群网络结构差异有统计学意义（M=0.275，P<0.05），医务人员网络结构的整体连接强度低于社区居民（7.523 vs. 7.950，S=0.426，P<0.05）。结论 医务人员的抑郁和焦虑症状检出率均高于社区居民，其抑郁-焦虑症状网络更集中，核心症状更突出。 |
| 英文摘要: |
| Background The mental health issues of medical staff have received increasing attention. Previous studies have mainly focused on the epidemiological characteristics and influencing factors， but there is a lack of sufficient understanding of the heterogeneity characteristics of the depression-anxiety symptoms network among medical staff.Objective To compare the differences in the depression-anxiety symptoms network between medical staff and community residents， so as to provide references for the promotion of the mental health of medical staff.Methods From June 1， 2022 to December 31， 2024， a stratified random sampling method was used to recruit 1 959 medical staff from public hospitals and community health centers in 9 townships （industrial parks） of Dongguan City， Guangdong Province， as well as 2 412 community residents in this area， were selected as the research subjects. The general situation questionnaire， Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， and the Generalized Anxiety Disorder Scale-7 item （GAD-7） were used for investigation. The network visualization was conducted using the qgraph package of R 4.0.0. The centrality indicators of the network were calculated using the networktools package. The reliability of the network structure was evaluated using the bootnet package. The differences in the depression-anxiety symptoms network between medical staff and community residents were compared using the NetworkComparisionTest package.Results A total of 1 792 medical staff and 2 110 community residents completed the survey. The numbers of medical staff with mild， moderate and severe depressive symptoms were 381 （21.26%）， 217 （12.11%） and 169 （9.43%）， respectively， while the numbers of community residents were 322 （15.26%）， 98 （4.64%） and 66 （3.13%）， respectively. The numbers of medical staff with mild， moderate and severe anxiety symptoms were 411 （22.94%）， 126 （7.03%） and 93 （5.19%）， respectively， while the numbers of community residents were 320 （15.17%）， 73 （3.46%） and 18 （0.85%）， respectively. The comparison of the detection rates of depressive symptoms and anxiety symptoms between the two groups showed statistically significant differences （χ2=152.012， 205.953， P<0.01）. The network analysis results showed that the core symptom clusters of medical staff were "uncontrollable worry" "psychomotor retardation" "inability to relax"， and "depression"， while those of community residents were "uncontrollable worry" "inability to relax" "inferiority complex"， and "depression". There was a statistically significant difference in the network structure between the two groups （M=0.275， P<0.05）， and the overall connection strength of medical staff was lower than that of community residents （7.523 vs. 7.950， S=0.426， P<0.05）.Conclusion The detection rates of depression and anxiety symptoms among medical staff were higher than those among community residents. The depression-anxiety symptoms network of medical staff was more concentrated， and the core symptoms were more prominent.［Funded by Social Development and Technology Project of Dongguan City （number， 20221800902552）］ |
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