Abstract

Objective: The coronavirus disease of 2019 (COVID-19) pandemic has been associated with increased levels of distress for college students. This study aimed to assess the efficacy of a COVID-focused expressive writing intervention in reducing symptoms of depression, anxiety, and distress. Methods: A total of 169 college students were assigned either to a COVID-focused expressive writing intervention or to a nonwriting control group. All participants completed a 1-month follow-up assessment, and all study procedures were completed online due to COVID-19 restrictions. Depression was measured with the Beck Depression Inventory-II, anxiety was measured with the Beck Anxiety Inventory, and distress was measured with a Likert-scale question that measured distress specifically related to the COVID-19 pandemic. Results: Results indicated that participants in the expressive writing group demonstrated a significant decrease (b = -1.35) in anxiety symptoms whereas participants in the control group did not. None of the participants in either group demonstrated a significant decrease in depression symptoms. Ratings of distress in the expressive writing group were significantly lower (d = -0.51) at the 1-month follow-up when compared to the control group. Discussion: COVID-focused expressive writing is a relatively brief and inexpensive intervention that has been associated with lower symptoms of anxiety and distress in college students. Theoretical implications are discussed.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.