Evidence map›Paper›PMID 42298008›Full record

ArticleWiener klinische Wochenschrift2026

Monitoring physical activity by fitness tracking devices : Usage, acceptance and willingness to share data in patients with multiple sclerosis.

Helly Hammer, Robert Hoepner, Marie Louise Aicher, Sebastian Habernig, Fritz Leutmezer, Paulus Rommer, Tobias Nef, Andrew Chan, Thomas Berger, Gabriel Bsteh

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Article in Wiener klinische Wochenschrift, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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.

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Helly HammerDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland. helly.hammer@insel.ch.ORCID http://orcid.org/0000-0003-3486-3448
Robert HoepnerDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Marie Louise AicherDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Sebastian HabernigDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Fritz LeutmezerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Paulus RommerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Tobias NefARTORG Center for Biomedical Engineering Research, Gerontechnology & Rehabilitation, University of Bern, Bern, Switzerland.
Andrew ChanDepartment of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Thomas BergerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Gabriel BstehDepartment of Neurology, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFitness tracking, facilitated by wearable devices, has emerged as a popular method for monitoring physical activity levels in the general population; however, its usage, acceptance and utility in patients with multiple sclerosis (pwMS) remain understudied.

objectiveTo investigate the prevalence of fitness tracking device usage in pwMS and to explore acceptance and willingness to share data for use in healthcare.

methodsWe surveyed a cohort of consecutively and prospectively included pwMS diagnosed according to revised McDonald criteria 2017 in MS outpatient departments from two centers in Bern, Switzerland and Vienna, Austria.

resultsOut of a total of 200 pwMS (70% female) with a mean age of 43.1 years (SD 12.3 years), 161/200 (80.5%) had relapsing MS. Overall, 34.0% pwMS reported wearing a fitness tracker and when asked how often they actually wear their fitness tracker, 54.4% reported wearing it always and 27.9% reported wearing it often, whereas only 16.2% reported infrequent use. Asked whether they would share the data gathered by their respective fitness tracker, 93.9% reported a willingness to share their health data for both clinical routine care and research.

conclusionIn a representative cohort of pwMS in Central Europe, about one third are already actively and frequently tracking their physical activities with a strong dedication to utilizing their tracking data within healthcare settings including research. This underscores the feasibility and significant potential utility of monitoring physical activity by fitness tracking in the realm of MS care.

Indexed as

Digital biomarkereHealthMonitoringPhysical activityWearables

Identifiers

PMID42298008

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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 OpenQuestion graph.