A SYSTEMATIC REVIEW OF THE EFFICACY OF DIGITAL THERAPEUTICS (DTx) UTILIZING COGNITIVE BEHAVIORAL THERAPY (CBT) FOR LONG-TERM OBESITY MANAGEMENT IN ADULTS
DOI:
https://doi.org/10.31435/ijitss.2(50).2026.5033Keywords:
Obesity, Digital Therapeutics, Cognitive Behavioral Therapy, mHealth, Systematic Review, Long-term ManagementAbstract
Introduction: Obesity remains a critical global health challenge requiring scalable and sustainable intervention strategies. Digital Therapeutics (DTx) based on Cognitive Behavioral Therapy (CBT) offer a promising technological solution to overcome the limitations of traditional face-to-face treatments.
Objective: This systematic review evaluated the long-term efficacy (minimum 6–12 months) of CBT-based DTx interventions in reducing Body Mass Index (BMI) and improving metabolic health in adults with obesity.
Methods: Following PRISMA guidelines, a systematic search was conducted in PubMed, Scopus, and Web of Science for Randomized Controlled Trials (RCTs) published between 2015 and 2025. Ten high-quality studies meeting the inclusion criteria were analyzed.
Results: The synthesis of the included RCTs (n=10) demonstrates that DTx solutions utilizing self-monitoring, goal setting, and cognitive restructuring lead to clinically significant weight loss (up to -7.02 kg) and BMI reduction (e.g., -1.82kg/m2) compared to standard care. Long-term results indicate that while efficacy is high in the initial 6 months, user engagement significantly declines over time (attrition). However, blended care models combining digital tools with occasional human coaching showed superior sustainability (-6.8 kg at 12 months). Additionally, a "legacy effect" was observed, where metabolic benefits, such as improved blood pressure and reduced proteinuria, persisted despite partial weight regain.
Conclusion: CBT-based DTx are effective tools for obesity management, particularly when implemented via hybrid models. Future research should focus on minimizing digital attrition and exploring the long-term cost-effectiveness of these interventions within public health systems.
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Copyright (c) 2026 Norbert Grabias, Radosław Gryko , Maria Rajkowska, Aleksandra Włodarczyk , Paulina Jarząbek, Julia Weronika Mieszkowska , Anna Kinga Tejchma , Łukasz Dominik Woźniak , Bernard Myszewski , Jędrzej Piotrowski

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