Evidence map›Paper›PMID 42865880›Full record

ReviewFrontiers in digital health2026

Recommendations for the development, implementation, and evaluation of technology-assisted physical activity interventions to support healthy aging: insights from PhysAgeNet.

Nadja Schott, Jana Pelclová, Eleftheria Giannouli, Antoine Langeard, Christopher McCrum, Rosemary Dubbeldam, Rafael A Bernardes, Arben Boshnjaku, David Beckwée

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 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

9 authors.

Nadja SchottDepartment of Psychology and Human Movement Science, Institute for Sport and Movement Science, University of Stuttgart, Stuttgart, Germany.
Jana PelclováFaculty of Physical Culture, Palacký University Olomouc, Olomouc, Czechia.
Eleftheria GiannouliRehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Antoine LangeardCOMETE U1075, Université de Caen Normandie, INSERM, CYCERON, Caen, France.
Christopher McCrumDepartment of Nutrition and Movement Sciences, Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, Netherlands.
Rosemary DubbeldamDepartment of Movement Science, Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany.
Rafael A BernardesNursing Research Innovation and Development Centre of Lisbon (CIDNUR), School of Nursing of the University of Lisbon (ESEUL), Lisbon, Portugal.
Arben BoshnjakuFaculty of Medicine, University "Fehmi Agani" in Gjakova, Gjakovë, Kosovo.
David BeckwéeRehabilitation Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health technologies offer substantial potential to support physical activity among older adults, yet their development and implementation often remain driven by technological possibilities rather than clinical evidence and user needs. This position paper, developed within the PhysAgeNet COST Action, synthesizes current evidence and expert consensus to provide recommendations for designing, evaluating, and implementing technology-assisted physical activity interventions for older adults. We first outline key technology categories and functions relevant to physical activity promotion, including wearables, exergames, mobile applications, telehealth platforms, and smart environments, and highlight critical technical requirements such as accuracy, reliability, connectivity, interoperability, and data security. We then emphasize the need to align digital interventions with established clinical guidelines for physical activity, falls prevention, frailty, and sarcopenia, including explicit specification of exercise dose according to FITT-VP principles and robust monitoring of dual adherence to both physical activity and technology use. Building on technology acceptance models and behavior change theories, we describe how user-centered and co-creative design processes can translate theoretical constructs into concrete digital features that enhance motivation, enjoyment, and long-term engagement. Finally, we propose stakeholder-specific guidance for developers, researchers, and clinicians, including recommendations on user assessment, recruitment of vulnerable groups, implementation frameworks, and clinically grounded evaluation of outcomes and usability. Together, these recommendations provide a pragmatic roadmap for moving from a technology-push paradigm toward evidence-based, acceptable, and equitable technology-assisted physical activity interventions that can be sustainably integrated into routine practice for older adults.

Indexed as

behavior changedigital healthFITT-VP principleshealthy agingolder adultsphysical activitytechnology acceptancetechnology-assisted interventions

Identifiers

PMID42865880
PMCPMC13655530

What OpenQuestion holds

Textmetadata
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.