Frontiers in Medicine | |
Who Is at Risk of Poor Mental Health Following Coronavirus Disease-19 Outpatient Management? | |
article | |
Katharina Hüfner1  Piotr Tymoszuk2  Dietmar Ausserhofer4  Sabina Sahanic3  Alex Pizzini3  Verena Rass5  Matyas Galffy1  Anna Böhm3  Katharina Kurz3  Thomas Sonnweber3  Ivan Tancevski3  Stefan Kiechl5  Andreas Huber6  Barbara Plagg4  Christian J. Wiedermann4  Rosa Bellmann-Weiler3  Herbert Bachler7  Günter Weiss3  Giuliano Piccoliori4  Raimund Helbok5  Judith Loeffler-Ragg3  Barbara Sperner-Unterweger1  | |
[1] Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, University Hospital for Psychiatry II, Medical University of Innsbruck;Data Analytics as a Service Tirol;Department of Internal Medicine II, Medical University of Innsbruck;Institute of General Practice and Public Health;Department of Neurology, Medical University of Innsbruck;Tyrolean Federal Institute for Integrated Care;Institute of General Medicine, Medical University of Innsbruck | |
关键词: COVID-19; SARS-CoV-2; depression; anxiety; mental stress; neurocognitive; long COVID; machine learning; | |
DOI : 10.3389/fmed.2022.792881 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Frontiers | |
【 摘 要 】
Background Coronavirus Disease-19 (COVID-19) convalescents are at risk of developing a de novo mental health disorder or worsening of a pre-existing one. COVID-19 outpatients have been less well characterized than their hospitalized counterparts. The objectives of our study were to identify indicators for poor mental health following COVID-19 outpatient management and to identify high-risk individuals. Methods We conducted a binational online survey study with adult non-hospitalized COVID-19 convalescents (Austria/AT: n = 1,157, Italy/IT: n = 893). Primary endpoints were positive screening for depression and anxiety (Patient Health Questionnaire; PHQ-4) and self-perceived overall mental health (OMH) and quality of life (QoL) rated with 4 point Likert scales. Psychosocial stress was surveyed with a modified PHQ stress module. Associations of the mental health and QoL with socio-demographic, COVID-19 course, and recovery variables were assessed by multi-parameter Random Forest and Poisson modeling. Mental health risk subsets were defined by self-organizing maps (SOMs) and hierarchical clustering algorithms. The survey analyses are publicly available ( https://im2-ibk.shinyapps.io/mental_health_dashboard/ ). Results Depression and/or anxiety before infection was reported by 4.6% (IT)/6% (AT) of participants. At a median of 79 days (AT)/96 days (IT) post-COVID-19 onset, 12.4% (AT)/19.3% (IT) of subjects were screened positive for anxiety and 17.3% (AT)/23.2% (IT) for depression. Over one-fifth of the respondents rated their OMH (AT: 21.8%, IT: 24.1%) or QoL (AT: 20.3%, IT: 25.9%) as fair or poor. Psychosocial stress, physical performance loss, high numbers of acute and sub-acute COVID-19 complaints, and the presence of acute and sub-acute neurocognitive symptoms (impaired concentration, confusion, and forgetfulness) were the strongest correlates of deteriorating mental health and poor QoL. In clustering analysis, these variables defined subsets with a particularly high propensity of post-COVID-19 mental health impairment and decreased QoL. Pre-existing depression or anxiety (DA) was associated with an increased symptom burden during acute COVID-19 and recovery. Conclusion Our study revealed a bidirectional relationship between COVID-19 symptoms and mental health. We put forward specific acute symptoms of the disease as “red flags” of mental health deterioration, which should prompt general practitioners to identify non-hospitalized COVID-19 patients who may benefit from early psychological and psychiatric intervention.
【 授权许可】
CC BY
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