Content area

Abstract

Background:In Japan, the prevalence of anxiety and depressive symptoms within the working population has risen. This has been accentuated by the economic repercussions of the COVID-19 pandemic and the social isolation resulting from remote work setups. Mobile health apps, particularly those incorporating cognitive behavioral therapy (CBT) features, have shown potential in addressing these symptoms. These self-guided CBT interventions hold promise in alleviating the heightened depressive and anxiety symptoms often observed among Japanese employees.

Objective:Using a randomized controlled trial, we compared the efficacy of the “INTELLECT” app against a no-treatment control group in improving depressive symptoms and CBT skills among Japanese full-time employees at postintervention and 2-month follow-up.

Method:A total of 123 full-time Japanese employees were randomly allocated to either the intervention group (INTELLECT), where they engaged with self-help CBT features, or to a control group receiving no treatment. Intervention participants were required to engage with these features for at least 20 minutes per week over a span of 4 weeks. Weekly self-reported assessments were collected from all participants starting from baseline and continuing until the end of the 4-week intervention period. Subsequent assessments were conducted at 1-month and 2-month follow-up intervals. Linear mixed models were used to evaluate any effects of the self-guided intervention on depressive symptoms, as measured by the Patient Health Questionnaire-4, and cognitive behavioral skills, as measured by the Cognitive Behavioral Therapy Skills Scale. The app’s feasibility, usability, and acceptability ratings were also examined using the Implementation Outcome Scales for Digital Mental Health (iOSDMH).

Results:The final sample (n=73) consisted of 46 (63%) participants who were female, 23 (32%) participants who were male, and 4 (6%) participants who identified as other genders, with a mean age of 40.4 (SD 10.7) years. Significant time × group interactions were found at postintervention and 2-month follow-up, with the intervention group (n=34) reporting significantly lower depressive symptoms than the control group (n=38) at postintervention (t364.7426=−2.243; P=.03; Cohen d=−0.57, 95% CI −1.07 to −0.06) and 2-month follow-up (t364.6948=−3.284; P<.001; Cohen d=−0.85, 95% CI −1.38 to −0.32). In addition, intervention participants reported significantly greater improvements in self-monitoring cognitive skills than control participants at postintervention (t120.7526=2.672; P=.01; Cohen d=0.68, 95% CI 0.17 to 1.18) but not follow-up (t121.5475=1.947; P=.05; Cohen d=0.50, 95% CI −0.01 to 1.02).

Conclusions:This study provides evidence that CBT features on the INTELLECT app are effective in improving depressive symptoms and self-monitoring cognitive skills.

Trial Registration:University Hospital Medical Information Network Center UMIN000051354; https://tinyurl.com/4euwymyb

Details

1009240
Business indexing term
Title
Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial
Publication title
Volume
13
First page
e60871
Number of pages
16
Publication year
2025
Publication date
2025
Section
mHealth for Wellness, Behavior Change and Prevention
Publisher
JMIR Publications
Place of publication
Toronto
Country of publication
Canada
Publication subject
e-ISSN
22915222
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-06-24
Milestone dates
2024-05-29 (Preprint first published); 2024-05-29 (Submitted); 2025-04-11 (Revised version received); 2025-04-11 (Accepted); 2025-06-24 (Published)
Publication history
 
 
   First posting date
24 Jun 2025
ProQuest document ID
3227613134
Document URL
https://www.proquest.com/scholarly-journals/assessing-efficacy-intellect-cognitive-behavioral/docview/3227613134/se-2?accountid=208611
Copyright
© 2025. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-07-18
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic