Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial

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Опубліковано в::JMIR mHealth and uHealth vol. 13 (2025), p. e60871-e60886
Автор: Yokomitsu, Kengo
Інші автори: Oimatsu, Riki, Sean Han Yang Toh, Sündermann, Oliver
Опубліковано:
JMIR Publications
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LEADER 00000nab a2200000uu 4500
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022 |a 2291-5222 
024 7 |a 10.2196/60871  |2 doi 
035 |a 3227613134 
045 2 |b d20250101  |b d20251231 
100 1 |a Yokomitsu, Kengo 
245 1 |a Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial 
260 |b JMIR Publications  |c 2025 
513 |a Journal Article 
520 3 |a 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 
651 4 |a United States--US 
651 4 |a Asia 
651 4 |a Japan 
653 |a Mental depression 
653 |a Smartphones 
653 |a Telemedicine 
653 |a Cognitive behavioral therapy 
653 |a Mental disorders 
653 |a Clinical trials 
700 1 |a Oimatsu, Riki 
700 1 |a Sean Han Yang Toh 
700 1 |a Sündermann, Oliver 
773 0 |t JMIR mHealth and uHealth  |g vol. 13 (2025), p. e60871-e60886 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3227613134/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3227613134/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3227613134/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch