Evidence map›Paper›PMID 41727345›Full record

ArticleInternational journal of public health2026

Navigating the Choice Between Wrist-Worn Research- and Consumer-Grade Wearables to Monitor Movement Behaviours: A Perspective.

Fabian Schwendinger, Stefania Iaquinto, Valentin Jaki Waibl, Vasileios Nittas, Oliver Gruebner, Viktor von Wyl

Abstract read
In one paragraph

Article in International journal of public 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

6 authors.

Fabian SchwendingerDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Stefania IaquintoSwiss School of Public Health, Zurich, Switzerland.
Valentin Jaki WaiblSwiss School of Public Health, Zurich, Switzerland.
Vasileios NittasDepartment of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zürich, Switzerland.
Oliver GruebnerSwiss School of Public Health, Zurich, Switzerland.
Viktor von WylSwiss School of Public Health, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wrist-worn wearables are increasingly used to monitor movement behaviours in research and daily life. While consumer- and research-grade devices share overlapping capabilities, guidance on selecting the most appropriate device for specific research contexts remains limited. We provide an expert-opinion-based perspective to support device selection based on three key dimensions: (1) contextual and procedural requirements, (2) scientific requirements, and (3) device and user requirements. The perspective is based on discussions within the Swiss School of Public Health+ 'Big Data in Public Health' workshop and a targeted, non-systematic literature review, as well as expert feedback. It is illustrated using two case examples: monitoring movement in Parkinson's disease and promoting physical activity in older adults. This perspective may help novices in the field of wearable research by providing guidance that could facilitate informed decision-making, balancing scientific rigour with practical feasibility, and supporting the effective integration of wearable technologies in movement behaviour research.

Indexed as

Wearable Electronic DevicesAccelerometryAgedDigital HealthExerciseHumansMovementParkinson DiseaseSwitzerlandWristaccelerometryequipment designresearch methodologysensor technologywearable electronic devices

Identifiers

PMID41727345
PMCPMC12916431

What Socratic holds

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Registered trials

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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 Socratic graph.