Evidence map›Paper›PMID 41219896›Full record

ReviewEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2025

Staying engaged: a scoping review of psychological and motivational drivers of adherence to technology-supported physical activity in older adults.

Sven J G Geelen, Tiia Kekäläinen, Mary Hassandra, Karen Feyen, Solveig A Arnadottir, Salit Bar Shalom, Yael Netz, Erja Portegijs, David Beckwée

Abstract readReview
In one paragraph

Review in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Effectiveness of digital health exercise interventions on muscle function and physical performance in older adults with possible, confirmed, or severe sarcopenia: a systematic review and meta-analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Review
  4. Article
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

9 authors.

Sven J G Geelen *Alliance of Dutch Burn Care (ADBC), Burn Centre, Martini Hospital, Groningen, Netherlands.
Tiia Kekäläinen *Laurea University of Applied Sciences, Vantaa, Finland.
Mary HassandraDepartment of Physical Education and Sport Science, University of Thessaly, Karies, Trikala, Greece.
Karen FeyenRehabilitation Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Solveig A ArnadottirResearch Centre of Rehabilitation and Movement Science, University of Iceland, Reykjavik, Iceland.
Salit Bar ShalomThe Levinsky-Wingate Academic College, Tel Aviv, Israel.
Yael NetzThe Levinsky-Wingate Academic College, Tel Aviv, Israel.
Erja PortegijsDepartment of Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
David BeckwéeRehabilitation Research Group, Vrije Universiteit Brussel, Brussels, Belgium. David.beckwee@vub.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs populations age, maintaining physical activity (PA) is essential to reduce chronic disease risk and preserve functional independence in older adults. Technology-supported interventions, such as wearables, mobile applications, and web-based platforms, have emerged as effective tools to promote PA. However, engagement with technology alone is not sufficient. Effectiveness depends on whether digital tools foster sustained adherence to prescribed PA, since health benefits are dose-dependent on activity levels. In this sense, adherence matters not just for short-term participation but for embedding long-term behaviour change, an especially pressing challenge for older adults, who are typically less active and may experience greater barriers to digital engagement. This scoping review aimed to identify psychological and motivational factors that influence adherence to both the physical activity component and the supporting technology.

methodsA systematic search was conducted across three databases (PubMed, Web of Science, Scopus) for studies published between 2000 and March 2023. Fifty-three studies were included, encompassing qualitative, quantitative, and mixed-methods designs. Behaviour Change Techniques (BCTs) were identified and categorised using the BCT Taxonomy v1, distinguishing between techniques delivered via technology and those delivered through human interaction. Data were synthesised, distinguishing between adherence to physical activity and adherence to technology use.

resultsFrequently used BCTs included self-monitoring, goal setting, action planning, feedback, prompts/cues, and social support, with different techniques emphasised in digital versus human-facilitated delivery modes. From the qualitative data, 417 psychological and motivational factors were identified and grouped into 25 thematic categories. These were structured into five domains: (1) user factors related to technology adherence, (2) technology-related factors influencing technology adherence, (3) context factors related to technology adherence, (4) user factors related to PA adherence, and (5) context factors related to PA adherence. Key facilitators included ease of use, personalised content, motivational feedback, and social support, while key barriers included low digital literacy, repetitive content, and lack of guidance. Quantitative findings revealed 19 associations between psychological/motivational variables and adherence outcomes, of which 12 were statistically significant.

conclusionsThis review provides a comprehensive overview supporting the understanding of what determines adherence in technology-supported PA interventions for older adults from a psychological and motivational perspective. By differentiating between technology adherence and PA adherence, and considering the BCTs that are incorporated in the interventions, our findings offer actionable guidance for researchers and developers to design more inclusive, motivating, and sustainable interventions that promote active ageing.

Indexed as

AdherenceBehaviour changeMotivationPhysical activityPsychologyTechnology

Identifiers

PMID41219896
PMCPMC12604158

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.