Testing the Efficacy of a Multicomponent, Self-Guided, Smartphone-Based Meditation App: Three-Armed Randomized Controlled Trial (Preprint)
Open accessPreprint — published as 10.2196/23825 · Paper page
Abstract
BACKGROUND: A growing number of randomized controlled trials (RCTs) suggest psychological benefits associated with meditation training delivered via mobile health. However, research in this area has primarily focused on mindfulness, only one of many meditative techniques. OBJECTIVE: This study aims to evaluate the efficacy of 2 versions of a self-guided, smartphone-based meditation app—the Healthy Minds Program (HMP)—which includes training in mindfulness (Awareness), along with practices designed to cultivate positive relationships (Connection) or insight into the nature of the self (Insight). METHODS: A three-arm, fully remote RCT compared 8 weeks of one of 2 HMP conditions (Awareness+Connection and Awareness+Insight) with a waitlist control. Adults (≥18 years) without extensive previous meditation experience were eligible. The primary outcome was psychological distress (depression, anxiety, and stress). Secondary outcomes were social connection, empathy, compassion, self-reflection, insight, rumination, defusion, and mindfulness. Measures were completed at pretest, midtreatment, and posttest between October 2019 and April 2020. Longitudinal data were analyzed using intention-to-treat principles with maximum likelihood. RESULTS: A total of 343 participants were randomized and 186 (54.2%) completed at least one posttest assessment. The majority (166/228, 72.8%) of those assigned to HMP conditions downloaded the app. The 2 HMP conditions did not differ from one another in terms of changes in any outcome. Relative to the waitlist control, the HMP conditions showed larger improvements in distress, social connectedness, mindfulness, and measures theoretically linked to insight training (d=–0.28 to 0.41; P s≤.02), despite modest exposure to connection- and insight-related practice. The results were robust to some assumptions about nonrandom patterns of missing data. Improvements in distress were associated with days of use. Candidate mediators (social connection, insight, rumination, defusion, and mindfulness) and moderators (baseline rumination, defusion, and empathy) of changes in distress were identified. CONCLUSIONS: This study provides initial evidence of efficacy for the HMP app in reducing distress and improving outcomes related to well-being, including social connectedness. Future studies should attempt to increase study retention and user engagement. CLINICALTRIAL: ClinicalTrials.gov NCT04139005; https://clinicaltrials.gov/ct2/show/NCT04139005
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Generative Multi-Sensory Meditation: Exploring Immersive Depth and Activation in Virtual Reality
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Xie, Q., Amo, V., Nahum-Shani, I. B., & Goldberg, S. B. (2024) · doi:10.31234/osf.io/nrma6
Self-citationAlternative and holistic approaches to neuro-oncological healthcare
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Adverse Experiences in Brief Meditation Practices: Randomized Controlled Trial
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- Authors
- Goldberg, S. B., Imhoff-Smith, T., Bolt, D. M., Wilson-Mendenhall, C. D., Dahl, C. J., Davidson, R. J., & Rosenkranz, M. A.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Goldberg, Simon B
- ORCID
- Venue
- JMIR Mental Health
- Publisher
- JMIR Publications Inc.
- Published
- 2020-08-28
- Volume
- 7
- Issue
- 11
- Pages
- e23825-e23825
- ISSN
- 2368-7959 (ISSN-L)
- PMC
- PMC7732708
- OpenAlex
- W3107022472
- Cited by
- 97
- References
- 135
- Citations by year
- 2026: 18 · 2025: 24 · 2024: 13 · 2023: 18 · 2022: 13 · 2021: 10 · 2020: 1
- FWCI
- 4.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Mental Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (UL1TR002373)
- National Center for Advancing Translational Sciences
- National Center for Complementary and Integrative Health (K23AT010879)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- meditation apps, mobile health, mindfulness, psychological distress, depression, anxiety, stress, social connectedness, empathy, compassion, self-reflection, rumination, defusion, app engagement, user retention, meditation training, well-being, mediating and moderating effects, remote intervention, mobile application, insight
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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