ABSTRACT
People with anxiety and depression are more worried. This worry can weaken their immune system and make them vulnerable to diseases. This study attempted to evaluate the effectiveness of CFT on depression and anxiety in patients with COVID-19. The study had a quasi-experimental pretest-posttest design with a control group. The statistical population included 30 men who underwent quarantine for COVID-19 in 2021. Participants were chosen through convenience sampling and then were randomly assigned to experimental and control groups. In the experimental group, CFT treatment was performed in 10 sessions of 90 minutes. Beck Depression and Anxiety Questionnaires were used to collect the required data. Data were analyzed using SPSS 21 software and multivariate covariance analysis (MANCOVA). The results showed a significant difference between the mean scores of depression and anxiety in the experimental and control groups (p <0.05). The effect of this treatment on reducing the scores of depression and anxiety was 51% and 68%, respectively. Based on the results, CFT can reduce anxiety and depression in patients with COVID-19 disease. It is suggested that this intervention can be used in psychological treatment programs. © 2022, Mahidol University - ASEAN Institute for Health Development. All rights reserved.
ABSTRACT
Aims: One of the important causes of anxiety in COVID-19 is the inability to regulate emotion and lack of self-control during threatening conditions. Psychotherapy techniques have been effective in reducing psychological disorders. This study aimed at evaluating the effectiveness of dialectical behavior therapy on emotional regulation and self-control of these patients. Materials & Methods: It was a quasi-experimental pretest-posttest study with a control group. The statistical population included 30 men who were undergoing COVID-19 quarantine. Available sampling was used and individuals were randomly assigned to experimental and control groups. In the experimental group, the dialectical behavior therapy was performed in 10 sessions of 90 minutes. Tangi self-control and Garnofsky emotion regulation questionnaires were used. Data were analyzed using SPSS 21 software and multivariate analysis of covariance. Findings: There was a significant difference between the mean scores of emotional regulation and self-control variables in the experimental and control groups (p< 0.05) The effect of this treatment on increasing the emotional regulation score was 27% and on increasing the self-control score was 15%. Conclusion: Dialectical behavior therapy can increase cognitive regulation and improve self-control in patients with COVID-19. It is suggested that this intervention be used in psychological treatment programs. © 2022, Tarbiat Modares University. All rights reserved.
ABSTRACT
Introduction: Circadian rhythms have critical roles in human health. We quantified the effect of time-of-day of COVID-19 vaccination and other covariates on self-reported side effects post vaccination. Methods: The dataset was created from MassGeneralBrigham (MGB) electronic health records and REDCap survey that collected self-reported symptoms for 1-3 days after each immunization. Variables are demographics (age, sex, race, and ethnicity), vaccine manufacturer, clock time of vaccine administration/appointment, any COVID-19 diagnosis/positive test prior to vaccination, any history of allergy, and any note of epinephrine self-injection (e.g., EpiPen) medication. Time of day groupings were morning (6 am10 am), midday (10 am2 pm), late afternoon (2 pm6 pm) or evening (6 pm10 pm). Side effects were classified as Allergic (Rash;Hives;Swollen lips, tongue, eyes, or face;Wheezing) and Non-Allergic (New Headache, New Fatigue, Arthralgias, Myalgias, Fever) symptoms. The study was approved by the MGB IRB.Machine learning (ML) techniques (e.g., extreme gradient boosting) were applied to the variables to predict the occurrence of side effects. Stratified k-fold cross validation was used to validate the performance of the ML models. Shapley Additive Explanation values were computed to explain the contribution of each of the variables to the prediction of the occurrence of side effects. Results: Data were from 54,844 individuals. On day 1 after the first vaccination, (i) females, people who received the Moderna vaccine, and those with any allergy history were more likely to report Allergic side effects;and (ii) females, people who received the Janssen vaccine, those who had prior COVID-19 diagnosis ,and those who received their vaccine in the morning or midday and were more likely to report Non-Allergic symptoms. Older persons had fewer side effects of any type. Conclusion: ML techniques identified demographic and time-ofday- of-vaccination effects on side effects reported on the first day after the first dose of a COVID-19 vaccination. We will use these techniques to test for changes on days 2 and 3 after the first dose, and the first 3 days after the second dose and for the influence of recent night or shiftwork. Future work should target underlying physiological reasons.