Skip to content

What predicts meditation app engagement? an evaluation of user characteristics and motivation.

Mariah Sullivan, Sara Cloonan, Jennifer Huberty, Chad Stecher

Psychology and Health April 7, 2026 DOI: 10.1080/08870446.2026.2648854 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational cohort Peer reviewed
Sample size 304
Population New meditation app subscribers
Intervention meditation app usage
Duration 8-week intervention
Topics Meditation
Keywords Mindfulness meditation Behaviour maintenance Health behaviours Intrinsic motivation Mobile app engagement
Key findings Strong intrinsic motivation was associated with greater odds of completing any meditation session, more days with meditation sessions, and greater average minutes per day of meditation.

Abstract

Mindfulness meditation apps are associated with significant health benefits, yet many new app subscribers have low engagement and are unlikely to attain these benefits.This study examined the user characteristics that predict meditation app usage during the first eight weeks after subscribing. New meditation app subscribers (N = 304) completed a baseline survey which measured demographics, personality traits, intrinsic motivation for meditation, and symptoms of stress, anxiety, and depression, and objective app usage data were collected over eight weeks. Negative binomial, logistic, and ordinary least squares linear regression models assessed associations between user characteristics and five different outcomes 1) days with any session, 2) average min/day of any session, 3) completing any meditation session, 4) days with any meditation sessions, and 5) average min/day of meditation. Strong intrinsic motivation was associated with greater odds of completing any meditation session (OR = 3.63, p < .01), more days with meditation sessions (IRR = 1.75, p < .01), and greater average min/day of meditation (B = 0.32, p < .01). The effort and pressure subdomains of intrinsic motivation were also significant predictors of app usage. Men had more meditation days (IRR = 2.13, p < .01) than women, and a mental health diagnosis was associated with longer daily meditation durations (B = 0.41, p = .038). Intrinsic motivation is an important mechanism for maintaining an app-based meditation practice, along with gender and chronic health diagnoses. App developers and researchers should consider tailoring content or providing additional support to users based on these characteristics.

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

Citations in the library

Explore topics