Evidence map›Paper›PMID 42525576›Full record

SynthesisJMIR mHealth and uHealth2026

Perceptions of Adults Aged 50 Years and Older Regarding the Use of Wearable mHealth Technologies to Promote Physical Activity: Systematic Review and Meta-Ethnography.

Beatriz Rodríguez-Martín, Diego González-Arroyo, Susana Priego-Jiménez, María Lopez-González, María Medrano-Echeverría, Marta Carolina Ruiz-Grao, Celia Álvarez-Bueno

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Beatriz Rodríguez-Martín *Faculty of Health Sciences, Department of Nursing, Physiotherapy and Occupational Therapy, University of Castilla-La Mancha, Talavera de la Reina, Spain.ORCID 0000-0003-3939-0299
Diego González-Arroyo *University Hospital Nuestra Señora del Prado, Health Service of Castilla-La Mancha, Talavera de la Reina, Spain.ORCID 0009-0006-8237-5528
Susana Priego-JiménezABC-Age Research Group, University of Castilla-La Mancha, Cuenca, Spain.ORCID 0000-0002-7468-5626
María Lopez-GonzálezABC-Age Research Group, University of Castilla-La Mancha, Cuenca, Spain.ORCID 0009-0001-7494-7534
María Medrano-EcheverríaDepartment of Health Sciences, Institute for Innovation & Sustainable Food Chain Development, Public University of Navarra, Pamplona, Spain.ORCID 0000-0001-7048-642X
Marta Carolina Ruiz-GraoABC-Age Research Group, University of Castilla-La Mancha, Cuenca, Spain.ORCID 0000-0003-1165-3448
Celia Álvarez-BuenoABC-Age Research Group, University of Castilla-La Mancha, Cuenca, Spain.ORCID 0000-0002-6176-1618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite advances in wearable mobile health (mHealth) technologies and their associated apps designed to promote physical activity, and the importance of adapting them to users, little is known about older adults' perceptions of these technologies. Objective: This review aimed to synthesize and analyze qualitative evidence exploring the perceptions of adults aged 50 years and older regarding areas to improve, barriers to, and facilitators of wearable mHealth technologies (activity trackers and companion apps) to promote physical activity. Methods: A qualitative systematic review and meta-ethnography was conducted. Comprehensive searches were performed across 8 databases (MEDLINE, Scopus, Web of Science, CINAHL, The Cochrane Library Plus, PsycINFO, ProQuest, and ÍnDICEs-CSIC) for articles published in English or Spanish between January 2013 and January 2024. The synthesis followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and ENTREQ (Enhancing Transparency in Reporting the Synthesis of Qualitative Research) guidelines. Results: Ten articles met the inclusion criteria and were synthesized using meta-ethnography. Three main themes emerged: (1) barriers to promoting physical activity caused by wearable mHealth technologies: personal barriers (physical aspects, perceptions about technology, and personal preferences), technological barriers (functionality, content, design, alarms, availability, and accessibility), and environmental barriers (season of the year); (2) personal facilitators (consideration that these apps improve health, perceptions about technology, and personal preferences), technological facilitators (functionality, content, and design), relational facilitators (technological and social support), environmental facilitators (seasonal variations), and health care professionals (support and monitoring by health care services); and (3) personal areas (perceptions about technology and personal preferences), technological areas (functionality, content, and design), and relational areas (technological support). Conclusions: Although older adults acknowledge the potential of wearable mHealth technologies to promote physical activity, their effective engagement is hindered by distinct personal, technological, and environmental barriers. Bridging the digital divide requires designers to prioritize user-centered, age-friendly interfaces that are integrated with continuous support from health care professionals. To promote genuine health equity, future research must rigorously report intersectional demographics to ensure that mHealth interventions mitigate, rather than inadvertently exacerbate, existing disparities.

Indexed as

ExerciseHealth PromotionPerceptionWearable Electronic DevicesAgedAnthropology, CulturalDigital HealthFemaleHumansMaleMiddle AgedQualitative ResearchTelemedicineappapplicationdigital healthdigital interventiondigital technologyeHealthelectronic devicesexerciseexercisingmeta-ethnographymHealthmobile appmobile healtholder peoplephysical activityphysical exercisequalitativereviewsmartphonesystematic review

Identifiers

PMID42525576
PMCPMC13420493

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.