Affiliation:
1. Department of Biostatistics and Medical Informatics, Faculty of Medicine, Erzincan Binali Yıldırım
University, Erzincan, Turkey
2. Department of Neurology, Faculty of Medicine, Erzincan Binali
Yıldırım University, Erzincan, Turkey
3. Department of Neurology, Faculty of Medicine, Kastamonu
University, Kastamonu, Turkey
Abstract
Background:
Considering the previous evidence regarding SARS/MERS outbreaks,
ıt is expected that emergent psychiatric conditions such as mood disorders, anxiety,
and depression disorders may occur in survivors of COVID-19.
Objectives:
In this study, the effects of clinical/neurological symptoms and sociodemographic
characteristics of COVID-19 patients during the infection period on the level
of anxiety/depression after recovery were investigated.
Methods:
Firstly, the socio-demographic characteristics of the participants and their clinical/
neurological symptoms during the infection period were determined. In addition, the
Beck anxiety/depression scale was administered to the participants upon discharge. Then,
the odds ratio of the variables was calculated by applying the Poisson regression method to
determine the predictors affecting the level of anxiety/depression.
Results:
In this study, the clinical/neurological symptoms and the sociodemographic characteristics
affecting the level of anxiety/depression were found to be associated with adults
(mean age 45-years). The number of days of hospitalization was the only clinical feature
that increased both anxiety and depression levels. In addition, post-discharge sleep disorder,
headache, and alcohol use were found to be predictors of increased anxiety levels. In addition,
smoking, the presence of a person with COVID-19 infection in the immediate vicinity,
traveling in the last month before the illness, fever, and loss of smell during the infection
period was found to increase the level of depression. Moreover, asthma was the only significant
comorbidity that increased the anxiety level, while diabetes was the only comorbidity
that increased the depression level.
Conclusion:
It is expected that this study will support social-psychological intervention and
have some effects on reducing depressive/anxiety symptoms, which can vary widely in
adults during stressful events.
Publisher
Bentham Science Publishers Ltd.
Subject
Psychiatry and Mental health
Reference36 articles.
1. Mertoğlu C, Huyut MT, Ölmez H, et al., COVID-19 is more dangerous for older people and its severity is increasing: a case-control study, Med Gas Res 12 (2) (2022) 51-54.
2. Huyut M.T.; Üstündağ H. Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational study. Med Gas Res 2022,12(2),60-66
3. Huyut M.T.; Huyut Z.; Forecasting of Oxidant/Antioxidant levels of COVID-19 patients by using Expert models with biomarkers used in the Diagnosis/Prognosis of COVID-19. Int Immunopharmacol 2021,100,108127
4. Pfefferbaum B.; North C.S.; Mental health and the Covid-19 pandemic. N Engl J Med 2020,383(6),510-512
5. Kang L.; Li Y.; Hu S.; The mental health of medical workers in Wuhan, China dealing with the 2019 novel corona-virus. Lancet Psychiatry 2020,7(3),e14
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献