Evidence map›Paper›PMID 42170227›Full record

ReviewmHealth2026

A systematic review assessing mobile health (mHealth) physical activity interventions in older adults with and without chronic health conditions.

Maria V Goodwin, Katelynn Slade, Emily Urry, David W Maidment

Abstract readReview
In one paragraph

Review in mHealth, 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

4 authors.

Maria V GoodwinSchool of Psychology, Aston University, Birmingham, UK.ORCID https://orcid.org/0000-0001-5997-0907
Katelynn SladeSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.ORCID https://orcid.org/0000-0002-5872-2757
Emily UrrySonova AG, Stäfa, Switzerland.ORCID https://orcid.org/0000-0001-6935-6513
David W MaidmentSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.ORCID https://orcid.org/0000-0002-8416-519X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Engaging in regular physical activity is a key protective factor for reducing the risk of developing chronic health conditions associated with ageing. However, physical activity declines markedly with increasing age. The aim of this prospectively registered systematic review was to evaluate the effectiveness of mobile health (mHealth) physical activity interventions, and the behaviour change techniques (BCTs) they employ, in older adults. Methods: This review was registered in the International Prospective Register of Systematic Reviews (PROSPERO), CRD42022342016. Eight databases (APA PsycINFO, ClinicalTrials.gov, Cochrane Library, Medline, PubMed, Scopus, SPORTDiscus, Web of Science) were searched up to February 2025. Eligible studies were randomised controlled trials (RCTs) evaluating mHealth interventions (e.g., smartphone apps, wearable devices) designed to increase physical activity in community-dwelling older adults (≥65 years) living with and without chronic health conditions. Primary outcomes included measures of physical activity (both objective and self-reported), functional fitness, and adverse effects. Secondary outcomes were physiological health, psychosocial wellbeing, and cognition. Risk of bias was assessed using the Cochrane Risk of Bias tool version 2, and certainty of the evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Results: Nine RCTs were included, assessing mHealth interventions such as wearable devices, smartphone apps, or virtual coaching. Due to methodological heterogeneity across studies, meta-analyses were not possible. A narrative synthesis revealed limited or inconsistent findings for all primary and secondary outcomes. Interventions incorporated a limited number of the 93 available BCTs, with the most frequently used being self-monitoring of behaviour, information about antecedents, and feedback on behaviour. There was substantial variation in the number and combination of BCTs employed across studies, limiting the ability to evaluate their individual or combined effectiveness. Due to insufficient data, it was not possible to compare the effectiveness of mHealth interventions between healthy older adults and those living with chronic ill-health. Conclusions: The current review highlights that further research in this area is needed, as well as a requirement to optimise the design of mHealth physical activity interventions that incorporate suitable BCTs so that they can adequately address the complex needs of those living with and without chronic health conditions.

Indexed as

behaviour changemobile health (mHealth)older adultsPhysical activityrandomised controlled trials (RCTs)

Identifiers

PMID42170227
PMCPMC13187567

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.