Article: Videoconferencing-based cognitive behavioral therapy for youth with anxiety and depression during COVID-19 pandemic.
School Psychology International
2022 Volume 43, Issue 4, Page(s) 420–439
Abstract: The need for psychosocial intervention programmes to address the negative consequences of the COVID-19 pandemic and its associated lockdown restrictions on the mental health of young people is evident. Using a within subject pretest-posttest design, this ...
| Abstract | The need for psychosocial intervention programmes to address the negative consequences of the COVID-19 pandemic and its associated lockdown restrictions on the mental health of young people is evident. Using a within subject pretest-posttest design, this study aimed to evaluate the effects of online Cognitive Behavioural Therapy (CBT)-based anxiety and depression management psychoeducation programmes on mental health and coping skills in youth ages 14-20. The Demographic Information Form, Revised Child Anxiety Depression Scale, and KidCope were administered before and after the psychoeducational programme to assess programme outcomes. The results indicate significant decreases in levels of anxiety, significant decreases in avoidance of anxiety-provoking situations and significant increases in coping skills following the online CBT Anxiety Management Psychoeducation Program. A significant decrease in depression scores was noted among the online CBT Depression Management Psychoeducation Program participants. Although these results should be interpreted cautiously due to limitations of the study (e.g., no control group, high attrition), they suggest that psychological prevention or intervention programmes may be beneficial for young people who are physically unable to go to school or who cannot interact face-to-face with social support networks. |
|---|---|
| Language | English |
| Publishing date | 2022-10-17 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 2060753-2 |
| ISSN | 1461-7374 ; 0143-0343 |
| ISSN (online) | 1461-7374 |
| ISSN | 0143-0343 |
| DOI | 10.1177/01430343221097613 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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