Skip to main content
Top
Published in: BMC Psychiatry 1/2021

Open Access 01-12-2021 | Suicide | Research

Network structure of depression and anxiety symptoms in Chinese female nursing students

Authors: Lei Ren, Yifei Wang, Lin Wu, Zihan Wei, Long-Biao Cui, Xinyi Wei, Xinyu Hu, Jiaxi Peng, Yinchuan Jin, Fengzhan Li, Qun Yang, Xufeng Liu

Published in: BMC Psychiatry | Issue 1/2021

Login to get access

Abstract

Background

Comorbidity between depressive and anxiety disorders is common. From network perspective, mental disorders arise from direct interactions between symptoms and comorbidity is due to direct interactions between depression and anxiety symptoms. The current study investigates the network structure of depression and anxiety symptoms in Chinese female nursing students and identifies the central and bridge symptoms as well as how other symptoms in present network are related to depression symptom “thoughts of death”.

Methods

To understand the full spectrum of depression and anxiety, we recruited 776 Chinese female nursing students with symptoms of depression and anxiety that span the full range of normal to abnormal. Depression symptoms were measured by Patient Health Questionnaire-9 while anxiety symptoms were measured by Generalized Anxiety Disorder 7-Item Questionnaire. Network analysis was used to construct networks. Specifically, we computed the predictability, expected influence and bridge expected influence for each symptom and showed a flow network of “thoughts of death”.

Results

Nine strongest edges existed in network were from the same disorder. Four were between depression symptoms, like “sleep difficulties” and “fatigue”, and “anhedonia” and “fatigue”. Five were between anxiety symptoms, like “nervousness or anxiety” and “worry too much”, and “restlessness” and “afraid something will happen”. The symptom “fatigue”, “feeling of worthlessness” and “irritable” had the highest expected influence centrality. Results also revealed two bridge symptoms: “depressed or sad mood” and “irritable”. As to “thoughts of death”, the direct relations between it and “psychomotor agitation/retardation” and “feeling of worthlessness” were the strongest direct relations.

Conclusions

The current study highlighted critical central symptoms “fatigue”, “feeling of worthlessness” and “irritable” and critical bridge symptoms “depressed or sad mood” and “irritable”. Particularly, “psychomotor agitation/retardation” and “feeling of worthlessness” were identified as key priorities due to their strongest associations with suicide ideation. Implications for clinical prevention and intervention based on these symptoms are discussed.
Appendix
Available only for authorised users
Literature
15.
go back to reference Borsboom D, Cramer AOJ, Kalis A. Brain disorders? Not really: why network structures block reductionism in psychopathology research. Behav Brain Sci. 2019;42(e2):1–63. Borsboom D, Cramer AOJ, Kalis A. Brain disorders? Not really: why network structures block reductionism in psychopathology research. Behav Brain Sci. 2019;42(e2):1–63.
34.
go back to reference Melissa-Halikiopoulou C, Tsiga E, Khachatryan R, Papazisis G. Suicidality and depressive symptoms among nursing students in northern Greece. Health Sci J. 2011;5:90–7. Melissa-Halikiopoulou C, Tsiga E, Khachatryan R, Papazisis G. Suicidality and depressive symptoms among nursing students in northern Greece. Health Sci J. 2011;5:90–7.
42.
go back to reference Foygel R, Drton M. Extended Bayesian information criteria for Gaussian graphical models. Adv Neural Inform Process Syst. 2010;23:2020–8. Foygel R, Drton M. Extended Bayesian information criteria for Gaussian graphical models. Adv Neural Inform Process Syst. 2010;23:2020–8.
44.
go back to reference Epskam S, Cramer AOJ, Waldorp LJ, Schmittmann VD, Borsboom D. Qgraph: network visualizations of relationships in psychometric data. J Stat Softw. 2012;48(4):1–18. Epskam S, Cramer AOJ, Waldorp LJ, Schmittmann VD, Borsboom D. Qgraph: network visualizations of relationships in psychometric data. J Stat Softw. 2012;48(4):1–18.
56.
go back to reference De Beurs D, Fried EI, Wetherall K, Cleare S, O’ connor DB, Ferguson E, et al. Exploring the psychology of suicidal ideation: a theory driven network analysis. Behav Res Ther. 2019;120:103419.CrossRef De Beurs D, Fried EI, Wetherall K, Cleare S, O’ connor DB, Ferguson E, et al. Exploring the psychology of suicidal ideation: a theory driven network analysis. Behav Res Ther. 2019;120:103419.CrossRef
61.
go back to reference Shim EJ, Ha H, Park JE, Kim BS, Chang SM, Hong JP, et al. Gender-based examination of the association between individual symptoms of alcohol use disorder, major depressive disorder, and suicidal behaviors: a network analysis of data from the Korean epidemiologic catchment area study. J Affect Disord. 2020;272:432–9. https://doi.org/10.1016/j.jad.2020.03.162.CrossRefPubMed Shim EJ, Ha H, Park JE, Kim BS, Chang SM, Hong JP, et al. Gender-based examination of the association between individual symptoms of alcohol use disorder, major depressive disorder, and suicidal behaviors: a network analysis of data from the Korean epidemiologic catchment area study. J Affect Disord. 2020;272:432–9. https://​doi.​org/​10.​1016/​j.​jad.​2020.​03.​162.CrossRefPubMed
Metadata
Title
Network structure of depression and anxiety symptoms in Chinese female nursing students
Authors
Lei Ren
Yifei Wang
Lin Wu
Zihan Wei
Long-Biao Cui
Xinyi Wei
Xinyu Hu
Jiaxi Peng
Yinchuan Jin
Fengzhan Li
Qun Yang
Xufeng Liu
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Psychiatry / Issue 1/2021
Electronic ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-021-03276-1

Other articles of this Issue 1/2021

BMC Psychiatry 1/2021 Go to the issue