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Network structure of depression and anxiety symptoms in Chinese female nursing students
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 str...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168020/ https://www.ncbi.nlm.nih.gov/pubmed/34059013 http://dx.doi.org/10.1186/s12888-021-03276-1 |
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author | Ren, Lei Wang, Yifei Wu, Lin Wei, Zihan Cui, Long-Biao Wei, Xinyi Hu, Xinyu Peng, Jiaxi Jin, Yinchuan Li, Fengzhan Yang, Qun Liu, Xufeng |
author_facet | Ren, Lei Wang, Yifei Wu, Lin Wei, Zihan Cui, Long-Biao Wei, Xinyi Hu, Xinyu Peng, Jiaxi Jin, Yinchuan Li, Fengzhan Yang, Qun Liu, Xufeng |
author_sort | Ren, Lei |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03276-1. |
format | Online Article Text |
id | pubmed-8168020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81680202021-06-02 Network structure of depression and anxiety symptoms in Chinese female nursing students Ren, Lei Wang, Yifei Wu, Lin Wei, Zihan Cui, Long-Biao Wei, Xinyi Hu, Xinyu Peng, Jiaxi Jin, Yinchuan Li, Fengzhan Yang, Qun Liu, Xufeng BMC Psychiatry Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03276-1. BioMed Central 2021-05-31 /pmc/articles/PMC8168020/ /pubmed/34059013 http://dx.doi.org/10.1186/s12888-021-03276-1 Text en © The Author(s) 2021 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 Ren, Lei Wang, Yifei Wu, Lin Wei, Zihan Cui, Long-Biao Wei, Xinyi Hu, Xinyu Peng, Jiaxi Jin, Yinchuan Li, Fengzhan Yang, Qun Liu, Xufeng Network structure of depression and anxiety symptoms in Chinese female nursing students |
title | Network structure of depression and anxiety symptoms in Chinese female nursing students |
title_full | Network structure of depression and anxiety symptoms in Chinese female nursing students |
title_fullStr | Network structure of depression and anxiety symptoms in Chinese female nursing students |
title_full_unstemmed | Network structure of depression and anxiety symptoms in Chinese female nursing students |
title_short | Network structure of depression and anxiety symptoms in Chinese female nursing students |
title_sort | network structure of depression and anxiety symptoms in chinese female nursing students |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168020/ https://www.ncbi.nlm.nih.gov/pubmed/34059013 http://dx.doi.org/10.1186/s12888-021-03276-1 |
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