| 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 |
| Network analysis comparison of depression-anxiety symptoms between medical staff and community residents in Dongguan |
DOI：10.11886/scjsws20250618001 |
| English keywords:Occupational mental health Medical staff Depression Anxiety Network analysis |
| Fund projects: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） |
| Author Name | Affiliation | Postcode | | Huang Yuwen | 1Dongguan Seventh People's Hospital, Dongguan 523230, China | 523230 | | Yu Jingya | 1Dongguan Seventh People's Hospital, Dongguan 523230, China | 523230 | | Huang Lunchi | 1Dongguan Seventh People's Hospital, Dongguan 523230, China | 523230 | | Wang Zhizhong | 2School of Public Health, Guangdong Medical University, Dongguan 523808, China | 523808 | | Li Yongsheng* | 1Dongguan Seventh People's Hospital, Dongguan 523230, China | 523230 |
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| 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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