ArticleJMIR human factors2025
Design Preferences, Routines, and Well-Being of Older Adults Using Voice-Guided Digital Mindfulness: Qualitative Interview Study.
Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Digital Asceticism and Transcendent Aging: Reframing late Life through Monastic Wisdom and Humanistic Psychology.Journal of religion and health · 2026Article
- Using a Digital-Based Mindfulness Curriculum to Enhance Healthy Aging Outcomes in Community-Dwelling Older Adults in Taiwan: Mixed Methods Feasibility Study.JMIR human factors · 2026Article
- Lived Experiences of Older Adults Using Wearables With Real-Time Feedback: Phenomenological Study.JMIR mHealth and uHealth · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMindfulness-based interventions have been demonstrated to be effective in improving bodily and emotional well-being. However, only a few studies have explored individual differences in the application and use of digital mindfulness among adults aged ≥65 years. Voice-guided mindfulness technologies can increase the accessibility of mindfulness training, but the expected benefits may not be similar in all user groups.
objectiveThis study aims to understand how older adults incorporate mindfulness into their habits and routines, explore the digital mindfulness design preferences of older adults, and understand if and how digital mindfulness can facilitate self-perceived well-being among older adults.
methodsA qualitative interview study built on an interpretive-constructivist paradigm was conducted among older adults in Sweden who used a voice-guided mindfulness app for a 3-week period in their homes (N=15). Semistructured interviews were conducted one-on-one with participants after using the app. Qualitative thematic analysis was used to explore the lived experiences of digital mindfulness, as articulated by participants, which allowed an open exploration of the subjective experiences of digital mindfulness and their possible effects and outcomes.
resultsFrom the coding stage, 23 codes describing the digital mindfulness experience were identified from the data. These codes were thematized to group the codes together, resulting in 7 subthemes. From these 7 subthemes, three main themes were formed to answer the research objectives: (1) the embeddedness of digital mindfulness in older adults' daily routines and habits, (2) heterogeneity in older adults' design preferences for digital mindfulness, and (3) the consequences of digital mindfulness on the self-perceived well-being of older adults.
conclusionsThis study concludes that digital mindfulness offers a possibility to enhance the self-perceived well-being of older adults by fostering resilience and self-care. However, adverse effects of mindfulness, such as frustration and discomfort, can also be experienced by older adults. The digital mindfulness experiences and preferences of older adults are highly individual, diverse, and manifold, which indicates that personalized approaches are essential for effective engagement. By acknowledging and addressing the heterogeneous design preferences within this demographic, developers can create more personalized and adaptive voice-guided mindfulness apps.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.