JOURNAL ARTICLE
Effects of a Procrastination Intervention for Japanese University Students With Attention-Deficit/Hyperactivity Disorder Tendencies: An Interrupted Time Series Analysis.
Published In: Journal of Cognitive Psychotherapy, 2025, v. 39, n. 3. P. 192 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Oguchi, Mana; Furukawa, Emi; Kumano, Hiroaki 3 of 3
Abstract
University students, especially those with attention-deficit/hyperactivity disorder (ADHD), experience distress due to procrastination. However, the existing treatment for adult ADHD does not adequately address procrastination. A brief procrastination-focused cognitive behavioral therapy program was developed for the current study, and its effects on procrastination, depression, and life satisfaction were assessed. Using a single-case AB design, procrastination behaviors and mood during the baseline and intervention periods were recorded. Data from 24 students with ADHD symptoms (mean age = 20.42 years, SD = 1.50) were analyzed using interrupted time series and counterfactual analyses. The effects of the program on the depressive symptoms and life satisfaction were also examined. The intervention changed the trajectory of the students' procrastination behaviors, significantly reducing them compared with baseline. They also reported improved life satisfaction following the intervention. This novel intervention appears effective in reducing procrastination among university students with ADHD symptoms. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Cognitive Psychotherapy. 2025/07, Vol. 39, Issue 3, p192
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:0889-8391
- DOI:10.1891/JCP-2024-0028
- Accession Number:187821000
- Copyright Statement:Copyright of Journal of Cognitive Psychotherapy is the property of Springer Publishing Company, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.