ArticleJournal of affective disorders2023
Anxiety and depression played a central role in the COVID-19 mental distress: A network analysis.
Article in Journal of affective disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 18 citations in OpenAlex.
- Post-pandemic changes in anxiety and depression symptom networks among socioeconomically disadvantaged young Adults: A repeated cross-sectional study.SSM - population health · 2025Article
- Anxiety, depression, and post-traumatic stress disorder in nurses exposed to horizontal violence: a network analysis.BMC nursing · 2024Article
- Examining Anxiety and Insomnia in Internship Students and Their Association with Internet Gaming Disorder.Journal of clinical medicine · 2024Article
- Influence of Healthcare Delivery Type on Patients' Mental Health: Is Hospitalization Always a Stressful Factor? Can Allostatic Load Help Assess a Patient's Psychological Disorders?Clinics and practice · 2024Article
- Network analysis on psychopathological symptoms, psychological measures, quality of life and COVID-19 related factors in Chinese psychiatric patients in Hong Kong.BMC psychiatry · 2024Article
- The relation between mental health and career-related stress among prospective graduates in higher education stage during the COVID-19 pandemic: an evidence based on network analysis.Frontiers in psychology · 2024Article
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Authors and funding
20 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPsychological, socio-demographics, and clinical factors play an important role in patients with COVID-19, but their relationship is complex. The network approach might be used to disentangle complex interactions in different systems. Using data from a multicentre, cross-sectional, survey among patients with COVID-19 in Spain (July-November 2020), we investigated the network structure of mental disorders symptoms, social support, and psychological resilience, and changes in network structures according to the presence of a pre-existing mental disorder or hospitalization for COVID-19.
methodsSubjects completed a survey to evaluate sociodemographic characteristics, COVID-19 infection status, resilience, social support, and symptoms of depression, anxiety disorders, post-traumatic stress disorder, panic attacks, and substance use disorder. 2084 patients with COVID-19 were included in the analysis. Network analysis was conducted to evaluate network and bridge centrality, and the network properties were compared between COVID-19 patients with and without a history of lifetime mental disorder, and between hospitalized and non-hospitalized patients. LIMITATIONS: Generalization of our findings may be difficult since differences in network connectivity may exist in different populations or samples.
resultsAnxiety and depression showed high centrality in patients with COVID-19 and anxiety showed the highest bridge influence in the network. Resilience and social support showed a low influence on mental disorder symptoms. Global network estimations show no statistically significant changes between patients with and without pre-existing mental disorders or between hospitalized and non-hospitalized patients.
conclusionsAnxiety might be a key treatment target in patients with COVID-19 since its treatment might prevent other mental health adverse outcomes.
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