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Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population
Background and Objectives: Prevalent Post-traumatic Stress Disorder (PTSD) negatively affected individuals during the COVID-19 pandemic. Using network analyses, this study explored the construct of PTSD symptoms during the COVID-19 pandemic in China to identify similarities and differences in PTSD s...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654407/ https://www.ncbi.nlm.nih.gov/pubmed/34900121 http://dx.doi.org/10.1080/20008198.2021.1997181 |
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author | Yang, Fan Fu, Mingqi Huang, Ning Ahmed, Farooq Shahid, Muhammad Zhang, Bo Guo, Jing Lodder, Paul |
author_facet | Yang, Fan Fu, Mingqi Huang, Ning Ahmed, Farooq Shahid, Muhammad Zhang, Bo Guo, Jing Lodder, Paul |
author_sort | Yang, Fan |
collection | PubMed |
description | Background and Objectives: Prevalent Post-traumatic Stress Disorder (PTSD) negatively affected individuals during the COVID-19 pandemic. Using network analyses, this study explored the construct of PTSD symptoms during the COVID-19 pandemic in China to identify similarities and differences in PTSD symptom network connectivity between the general Chinese population and individuals reporting PTSD. Methods: We conducted an online survey recruiting 2858 Chinese adults. PTSD symptoms were measured using the PCL-5 and PTSD was determined according to the DSM-5 criteria. Results: In the general population, self-destructive/reckless behaviours were on average the most strongly connected to other PTSD symptoms in the network. The five strongest positive connections were found between 1) avoidance of thoughts and avoidance of reminders, 2) concentration difficulties and sleep disturbance, 3) negative beliefs and negative trauma-related emotions, 4) irritability/anger and self-destructive/reckless behaviours, and 5) hypervigilance and exaggerated startle responses. Besides, negative connections were found between intrusive thoughts and trauma-related amnesia and between intrusive thoughts and self-destructive/reckless behaviours. Among individuals reporting PTSD, symptoms such as flashbacks and self-destructive/reckless behaviours were on average most strongly connected to other PTSD symptoms in the network. The five strongest positive connections were found between 1) concentration difficulty and sleep disturbance, 2) intrusive thoughts and emotional cue reactivity, 3) negative beliefs and negative trauma-related emotions, 4) irritability/anger and self-destructive/reckless behaviour, and 5) detachment and restricted affect. In addition, a negative connection was found between intrusive thoughts and self-destructive/reckless behaviours. Conclusion: Our results indicate similarly positive connections between concentration difficulty and sleep disturbance, negative beliefs and negative trauma-related emotions, and irritability/anger and self-destructive/reckless behaviours in the general and PTSD-reported populations. We argue that self-destructive/reckless behaviours are a core symptom of COVID-19 related PTSD, worthy of more attention in future psychiatric programmers. |
format | Online Article Text |
id | pubmed-8654407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-86544072021-12-09 Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population Yang, Fan Fu, Mingqi Huang, Ning Ahmed, Farooq Shahid, Muhammad Zhang, Bo Guo, Jing Lodder, Paul Eur J Psychotraumatol Basic Research Article Background and Objectives: Prevalent Post-traumatic Stress Disorder (PTSD) negatively affected individuals during the COVID-19 pandemic. Using network analyses, this study explored the construct of PTSD symptoms during the COVID-19 pandemic in China to identify similarities and differences in PTSD symptom network connectivity between the general Chinese population and individuals reporting PTSD. Methods: We conducted an online survey recruiting 2858 Chinese adults. PTSD symptoms were measured using the PCL-5 and PTSD was determined according to the DSM-5 criteria. Results: In the general population, self-destructive/reckless behaviours were on average the most strongly connected to other PTSD symptoms in the network. The five strongest positive connections were found between 1) avoidance of thoughts and avoidance of reminders, 2) concentration difficulties and sleep disturbance, 3) negative beliefs and negative trauma-related emotions, 4) irritability/anger and self-destructive/reckless behaviours, and 5) hypervigilance and exaggerated startle responses. Besides, negative connections were found between intrusive thoughts and trauma-related amnesia and between intrusive thoughts and self-destructive/reckless behaviours. Among individuals reporting PTSD, symptoms such as flashbacks and self-destructive/reckless behaviours were on average most strongly connected to other PTSD symptoms in the network. The five strongest positive connections were found between 1) concentration difficulty and sleep disturbance, 2) intrusive thoughts and emotional cue reactivity, 3) negative beliefs and negative trauma-related emotions, 4) irritability/anger and self-destructive/reckless behaviour, and 5) detachment and restricted affect. In addition, a negative connection was found between intrusive thoughts and self-destructive/reckless behaviours. Conclusion: Our results indicate similarly positive connections between concentration difficulty and sleep disturbance, negative beliefs and negative trauma-related emotions, and irritability/anger and self-destructive/reckless behaviours in the general and PTSD-reported populations. We argue that self-destructive/reckless behaviours are a core symptom of COVID-19 related PTSD, worthy of more attention in future psychiatric programmers. Taylor & Francis 2021-12-06 /pmc/articles/PMC8654407/ /pubmed/34900121 http://dx.doi.org/10.1080/20008198.2021.1997181 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Basic Research Article Yang, Fan Fu, Mingqi Huang, Ning Ahmed, Farooq Shahid, Muhammad Zhang, Bo Guo, Jing Lodder, Paul Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population |
title | Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population |
title_full | Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population |
title_fullStr | Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population |
title_full_unstemmed | Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population |
title_short | Network analysis of COVID-19-related PTSD symptoms in China: the similarities and differences between the general population and PTSD sub-population |
title_sort | network analysis of covid-19-related ptsd symptoms in china: the similarities and differences between the general population and ptsd sub-population |
topic | Basic Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654407/ https://www.ncbi.nlm.nih.gov/pubmed/34900121 http://dx.doi.org/10.1080/20008198.2021.1997181 |
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