Evidence map›Paper›PMID 39944853›Full record

ArticlemHealth2025

Mobile health interventions for active aging: a systematic review and meta-analysis on the effectiveness of physical activity promotion.

Kim Daniels, Kirsten Quadflieg, Bruno Bonnechère

Abstract read
In one paragraph

Article in mHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  7. Multidimensional determinants of active and healthy aging trajectories: a position paper from the Age-It Research Program.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
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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

3 authors.

Kim DanielsCentre of Expertise in Care Innovation, Department of PXL-Healthcare, PXL University of Applied Sciences and Arts, Hasselt, Belgium.ORCID https://orcid.org/0000-0002-4222-4518
Kirsten QuadfliegCentre of Expertise in Care Innovation, Department of PXL-Healthcare, PXL University of Applied Sciences and Arts, Hasselt, Belgium.ORCID https://orcid.org/0000-0002-3905-3180
Bruno BonnechèreCentre of Expertise in Care Innovation, Department of PXL-Healthcare, PXL University of Applied Sciences and Arts, Hasselt, Belgium.ORCID https://orcid.org/0000-0002-7729-4700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With increasing evidence supporting the benefits of physical activity (PA) for older adults, there is a critical need for effective interventions to promote activity in this population. Mobile health (mHealth) technologies offer innovative approaches to enhance engagement in PA, yet evidence of their effectiveness remains varied and insufficiently synthesized. This systematic review and meta-analysis aims to evaluate the effectiveness of mHealth interventions in improving physical health, quality of life, cognitive function, and mental well-being among community-dwelling older adults aged 65 years and over. Methods: This systematic review and meta-analysis followed the PRISMA guidelines, focusing on studies that utilized mHealth interventions to promote PA among community-dwelling older adults aged 65 years and older. The literature search included electronic databases like PubMed, Web of Science and CENTRAL, with studies published from 2014 onwards. Eligible studies were randomized controlled trials (RCTs), non-RCTs, and single-group studies that provided quantitative and qualitative data on physical health outcomes. Results: The search yielded 4,453 studies, with 22 meeting the inclusion criteria. These studies involved a total of 3,055 participants, primarily from high-income countries. The interventions included the use of an application (n=5), websites (n=7), wearable device (n=3), website + wearable device (n=3), and application + wearable device (n=3). Meta-analysis of 11 RCTs, representing 2,204 participants, showed an overall significant effect of the mHealth intervention [standardized mean difference =0.23; 95% confidence interval: 0.08-0.38], subgroup analysis shows varied effects on PA levels, with some studies reporting significant improvements in PA metrics, while others showed minimal impact. Conclusions: mHealth interventions have the potential to promote PA among older adults, but the effectiveness is highly variable. This variability may be influenced by intervention design, technology used, and participant engagement. Future research should focus on personalized, adaptable mHealth solutions that address the specific needs and preferences of older adults to enhance sustained engagement and effectiveness.

Indexed as

meta-analysisMobile health (mHealth)older adultsphysical activity (PA)systematic review

Identifiers

PMID39944853
PMCPMC11811652

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.