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

Mariah Sullivan, Sara Cloonan, Jennifer Huberty, Chad Stecher

Psychology & health April 7, 2026 DOI: 10.1080/08870446.2026.2648854 (opens in new tab) via PubMed

Summary

AI-generated from the abstract

Intrinsic motivation predicts sustained engagement with mindfulness meditation apps. Among 304 new subscribers followed for eight weeks, those with strong intrinsic motivation had 3.63 times greater odds of completing any meditation session, 1.75 times more days with meditation, and 0.32 more minutes of meditation per day. Men meditated on more days than women, and a mental health diagnosis was associated with longer daily meditation durations. The effort and pressure subdomains of intrinsic motivation also predicted app usage. The authors suggest that app developers and researchers consider tailoring content or providing additional support based on these user characteristics.

Study at a glance

Characteristics Observational cohort Peer reviewed
Sample size 304
Population New meditation app subscribers
Intervention meditation app usage
Duration 8-week intervention
Keywords Mindfulness meditation Behaviour maintenance Health behaviours Intrinsic motivation Mobile app engagement
Key finding 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.

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