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Predicting Treatment Outcomes, Attrition, and Enrolment Suitability in Mindfulness-integrated Cognitive Behavior Therapy: Machine Learning and Survival Analyses

Sarah Strohmaier, Bruno Cayoun, Alice Shires, Christian U. Krägeloh, Oleg N. Medvedev

July 18, 2026 preprint DOI: 10.31234/osf.io/gzahr_v1 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational cohort
Sample size 326
Population Adults assessed at two psychology clinics
Intervention Mindfulness-integrated Cognitive Behavior Therapy
Topics Meditation
Keywords Distress Life satisfaction Logistic regression Depression economics Cognition Personality Discontinuation Cognitive therapy Cognitive flexibility Cognitive behavioral therapy Clinical psychology Medical diagnosis Baseline sea Multiple baseline design
Key findings MiCBT produced large treatment effects on stress and equanimity, with depression severity, PTSD, ADHD, age, life satisfaction, and personality disorder diagnosis predicting different aspects of enrolment, improvement, and retention.

Abstract

Objectives: Mindfulness-integrated Cognitive Behavior Therapy (MiCBT) is an evidence-based, structured, transdiagnostic program. This study investigated three interrelated questions: (a) which characteristics predict initial enrolment suitability following intake assessment. (b) which baseline characteristics predict clinical improvement during MiCBT, (c) which characteristics predict treatment retention.Method: Participants were 326 adults (195 male; Mage = 41.4, SD = 14.0) assessed at two psychology clinics. Of 326 assessed at intake (baseline), 190 engaged in MiCBT (pre-treatment). Mixed-effects growth models, Elastic Net, logistic regression, and XGBoost estimated enrolment and treatment outcomes, while Cox regression, Random Survival Forests, and Accelerated Failure Time estimated retention.Results: Large treatment effects were observed (Stress d = 1.47, Equanimity d = 1.71). More severe Depression and PTSD diagnoses moderated faster distress reduction, while PTSD and ADHD predicted greater life satisfaction gains. Equanimity improvement was strongly correlated with distress reduction (r = –0.47) and life satisfaction gains (r = 0.39). For retention, younger age (HR = 0.81, p = 0.027), lower life satisfaction at baseline (HR = 0.83, p = 0.041), and personality disorder diagnosis (HR = 1.84, p = 0.042) were significant predictors. Critically, prior meditation experience predicted higher likelihood of enrolment (χ² = 9.44, p = 0.002) but not subsequent retention (p = 0.885), while diagnosis of ADHD predicted non-enrolment (χ² = 6.69, p = 0.010) but not discontinuation among those who had commenced.

Comparable studies

Other observational and cohort studies on meditation, most cited first.

Study Year Design Participants
Using Self-Report Assessment Methods to Explore Facets of Mindfulness Undergraduate students 2006 Observational cohort
Effectiveness of a meditation-based stress reduction program in the treatment of anxiety disorders Patients with generalized anxiety disorder or panic disorder with or without agoraphobia 1992 Observational cohort n = 22
Meditation experience is associated with increased cortical thickness Participants with extensive Insight meditation experience and matched controls 2005 Observational cohort n = 20
Meditation experience is associated with differences in default mode network activity and connectivity Experienced meditators and matched meditation-naive controls 2011 Observational cohort
Long-term meditators self-induce high-amplitude gamma synchrony during mental practice Long-term Buddhist practitioners and controls 2004 Observational cohort

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