JOURNAL ARTICLE
Mindfulness Interventions in Older Adults for Mental Health and Well-Being: A Meta-Analysis.
Published In: Journals of Gerontology Series B: Psychological Sciences & Social Sciences, 2025, v. 80, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Verhaeghen, Paul; Aikman, Shelley N; Mirabito, Grazia 3 of 3
Abstract
This meta-analysis evaluates the effectiveness of mindfulness interventions on the mental health and well-being of older adults (average age 60+), analyzing 46 controlled studies involving 2,442 participants. Mindfulness-Based Cognitive Therapy (MBCT) and other non-MBSR (Mindfulness-Based Stress Reduction) protocols showed small but statistically significant benefits (Hedges' g ≈ 0.33–0.36), whereas MBSR effects were not significant. Positive effects were observed primarily for mental functioning, depression, sleep, anxiety, stress, and mindfulness, with stronger outcomes when interventions targeted specific symptoms. Despite these modest benefits, the overall effect size (Hedges' g = 0.25) is smaller than that typically found in younger adults or other psychological interventions, and adaptations made to standard protocols for older adults have not been empirically validated. The findings suggest mindfulness interventions are safe and may modestly improve mental health in older adults, but their clinical utility remains limited pending further research on optimized, age-appropriate protocols.
Additional Information
- Source:Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2025/04, Vol. 80, Issue 4, p1
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:1079-5014
- DOI:10.1093/geronb/gbae205
- Accession Number:184297331
- Copyright Statement:Copyright of Journals of Gerontology Series B: Psychological Sciences & Social Sciences is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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