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Network analysis of physical and psychiatric symptoms of hospital discharged patients infected with COVID-19
- Source :
- Journal of Affective Disorders, 294, 707-713. Elsevier, Journal of Affective Disorders
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- In the current study, we aimed to investigate the network structure of COVID-19 symptoms and its related psychiatric symptoms, using a network approach. Specifically, we examined how COVID-19 symptoms relate to psychiatric symptoms and highlighted potential pathways between COVID-19 severity and psychiatric symptoms. With a sample of six hundred seventy-five recovered COVID-19 patients recruited 1 month after hospital discharge, we respectively integrated COVID-19 symptoms with PTSD, depression, and anxiety symptoms and analyzed the three network structures. In all three networks, COVID-19 severity and ICU admission are not linked directly to COVID-19 symptoms after hospitalization, while COVID-19 severity (but not ICU admission) is linked directly to one or more psychiatric symptoms. Specific pathways between COVID-19 symptoms and psychiatric symptoms were discussed. Finally, we used directed acyclic graph estimation to show potential causal effects between COVID-19 related variables and demographic characteristics.
- Subjects :
- medicine.medical_specialty
Coronavirus disease 2019 (COVID-19)
Network structure
Anxiety
Stress Disorders, Post-Traumatic
Hospital discharge
medicine
Humans
Psychiatry
Depression (differential diagnoses)
Symptom network
Depression
SARS-CoV-2
business.industry
Causal effect
COVID-19
PTSD
Hospitals
Patient Discharge
Anxiety, Depression
Icu admission
Psychiatry and Mental health
Clinical Psychology
medicine.symptom
business
Network approach
Research Paper
Subjects
Details
- Language :
- English
- ISSN :
- 01650327
- Volume :
- 294
- Database :
- OpenAIRE
- Journal :
- Journal of Affective Disorders
- Accession number :
- edsair.doi.dedup.....26d37326231d33f80d1f9458af158611