Cited by 2Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPsychological Treatments and Assessments

Cerina—Cognitive Behavioral Therapy–Based Mobile App for Managing Generalized Anxiety Disorder Symptoms Among University Students: Results From a Pilot Feasibility Randomized Controlled Trial

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Eylem-van Bergeijk, Ozlem, Robinson, Tony, Manktelow, Matthew, Olympios, Michail, Poulter, Siobhan, Mane, Prasannajeet, Panagioti, Maria, Condell, Joan +1 more·2025·JMIR mHealth and uHealth

Published version of a preprint

Abstract

Background: Generalized anxiety disorder (GAD) is common among university students due to academic pressure and financial uncertainty, among other challenges. Despite the need, the receipt of available psychological services is often low. Objective: This study investigates the feasibility of a digital unguided cognitive behavioral therapy (CBT)–based mobile app, Cerina, and examines the likely effects of this intervention in reducing GAD symptoms compared to the waitlist control group. Methods: Eligible students (n=158) with mild to moderate GAD symptoms were self-assessed through web-based questionnaires and were randomly allocated to the intervention group (n=79) or to the waitlist control group (n=79) following their informed consent. The intervention group had direct access to Cerina and followed CBT-based interactive sessions for 6 weeks. The waitlist control group participants had access to optional on-campus well-being services, and they were given access to Cerina 6 weeks after their randomization. Participants completed assessments on anxiety, depression, worry, and usability at three time points. Additionally, upon completing the intervention, they were invited to a web-based interview to understand the implementation of the intervention in more depth. Results: On average, 13% (10/79) intervention group participants dropped out, 61% (36/69) completed the core clinical content (2 sessions), and 12% (7/69) completed the desired number of sessions (6 or 7 sessions). Analyses of the completers (2 or more sessions) revealed significant group differences in GAD (mean 8.4, SD 3.7; t42=–2.25; P=.03; d=–0.7) and worry symptoms (mean 42.3, SD 10.8; t42=–2.50; P=.02; d=–0.8), as well as functional impairment (mean 16.7, SD 2.44; t42=–2.12; P=.04; d=–0.6) in favor of the intervention group at posttest with medium to large effect sizes. The intention-to-treat analyses confirmed significant group differences in GAD (mean 8.47, SD 2.7; t156=–2.23; P=.03; d=–0.4), and there were marginally nonsignificant group differences in worry symptoms (mean 41.5, SD 8.40; t156=–1.94; P=.05; d=–0.3) in favor of the intervention group at posttest with medium effect sizes. These results suggest that the intervention had a meaningful impact on reducing GAD symptoms and a modest impact on reducing worry symptoms among participants. Conclusions: The Cerina app showed promising results in reducing GAD symptoms among students. This result supports findings from other randomized controlled trials showing that digital CBT-based interventions are effective and feasible for a wide range of age groups and populations experiencing GAD symptoms. The low number of participants completing the recommended number of sessions suggests a usability issue. To address this, the intervention could be refined through an iterative design process informed by user feedback, and the long-term impact of specific engagement features in improving usability and retention could be assessed through extended evaluations. Trial Registration: ClinicalTrials.gov NCT06146530; https://clinicaltrials.gov/study/NCT06146530 International Registered Report Identifier (IRRID): RR2-10.1136/bmjopen-2023-083554

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References 89 · Cited by 2

Authors
Eylem-van Bergeijk, O., Robinson, T., Manktelow, M., Olympios, M., Poulter, S., Mane, P., Panagioti, M., Condell, J., & Leavey, G.
Affiliations
  • University of Ulster (GB)
  • Utrecht University (NL)
  • University of Manchester (GB)
Venue
JMIR mHealth and uHealth
Published
2025-10-09
Volume
13
Pages
e70691
ISSN
2291-5222 (ISSN-L)
OpenAlex
W4412999201
Cited by
2
References
89
Citations by year
2026: 1 · 2025: 1
FWCI
1.60
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JMIR mhealth and uhealth (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Ulster University Research Portal (Ulster University) (submittedVersion, cc-by)
Funders
  • European Commission
  • Ulster University
  • Interreg
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Assessments
Keywords
generalized anxiety disorder, cognitive behavioral therapy, mobile health apps, digital mental health interventions, university students, feasibility, worry, functional disability, depression, usability, self-help intervention, academic stress, waitlist control, intention-to-treat analysis, financial uncertainty
MeSH terms
Generalized Anxiety Disorder, Adult, Anxiety Disorders, Feasibility Studies, Female, Humans, Male, Pilot Projects, Surveys and Questionnaires, Students, Universities, Cognitive Behavioral Therapy, Young Adult, Mobile Applications

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