Evidence map›Paper›PMID 41272787›Full record

ArticleThe international journal of behavioral nutrition and physical activity2025

Digital assessment of real-world walking in people with impaired mobility: How many hours and days are needed?

Joren Buekers, Julia Chernova, Sarah Koch, José Marchena, Jorge Lemos, Clemens Becker, Tecla Bonci, Julia Braun, Gavin Brittain, Ellen Buckley and 16 more

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Real-world walking and activity patterns in community-dwelling older adults: a cross-sectional analysis of baseline data from the SMART-AGE trial.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

26 authors.

Joren BuekersBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain. joren.buekers@isglobal.org.
Julia ChernovaBayer plc, Reading, UK.
Sarah KochBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
José MarchenaBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Jorge LemosBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Clemens BeckerRobert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany.
Tecla BonciSchool of Mechanical, Aerospace and Civil Engineering & INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Julia BraunEpidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Hirschengraben 84, Zurich, 8001, Switzerland.
Gavin BrittainNIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Ellen BuckleyNIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Brian CaulfieldInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
Silvia Del DinTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Heleen DemeyerDepartment of Rehabilitation Sciences & Pulmonary Rehabilitation, Respiratory Division, KU Leuven, University Hospital Gasthuisberg, Leuven, Belgium.
Anja FreiEpidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Hirschengraben 84, Zurich, 8001, Switzerland.
Eran GazitCenter for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Jeffrey M HausdorffCenter for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Anisoara IonescuLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Carl-Philipp JansenRobert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany.
Jochen KlenkRobert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany.
Michael LongDepartment of Computer Science, The University of Sheffield, Sheffield, UK.
Basil SharrackNIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
David SingletonInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
Thierry TroostersDepartment of Rehabilitation Sciences & Pulmonary Rehabilitation, Respiratory Division, KU Leuven, University Hospital Gasthuisberg, Leuven, Belgium.
Alison J YarnallTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Lynn RochesterTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Judith Garcia-AymerichBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.

Funding

FWO Flanders 12ZW822NInnovative Medicines Initiative 2 Joint Undertaking (IMI2 JU) 853981Michael J Fox Foundation MJFF-022735 & MJFF-022737MICIU/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR FJC2021-046458-IMICIU/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR IJC2020-044363-INIHR HTA NIHR129175UK Engineering and Physical Sciences Research Council (EPSRC) EP/X036146/1UK Research and Innovation (UKRI) Engineering and Physical Sciences Research Council (EPSRC) (Grant Ref: EP/W031590/1, Grant Ref: EP/X031012/1 and Grant Ref: EP/X036146/1)
6 · The paper itself

Abstract

backgroundImpaired mobility increases falls and mortality risk. However, guidelines to reliably assess real-world walking activity and gait remain undefined. We aimed to (i) determine the minimum daily wear time during waking hours (7:00–22:00) for a valid measurement day, (ii) identify the minimum number of valid days, and (iii) weekend days, to reliably assess weekly walking activity and gait parameters, and (iv) provide recommendations for reliable real-world walking assessments.

methodsParticipants with chronic obstructive pulmonary disease (n = 565), multiple sclerosis (n = 558), Parkinson’s disease (n = 543) or proximal femoral fracture (n = 487) from 10 countries were asked to wear a single wearable device on the lower back, 24 h/day for seven days, resulting in 13,191 measurement days. The Mobilise-D processing pipeline was used to obtain 24 daily walking activity and gait parameters. Minimum daily wear time was determined as the highest wear time category that did not statistically change parameter values. Intraclass correlation coefficients ≥ 0.80 determined the minimum number of valid measurement and weekend days.

resultsThe minimum daily wear time varied between “no requirement” (13% of parameter-condition combinations) and > 14 h (19%), with higher requirements for walking activity than gait parameters. The minimum number of days ranged from 1 (17%) to > 7 days (6%), and was higher for parameters that are yet to be clinically validated. There was no evidence of a weekend nor health condition effect on parameter reliability.

conclusionsFor studies involving multiple walking activity and gait parameters or health conditions, expert consensus recommends a minimum of > 12 h of daily wear time across ≥ 3 days. For studies that involve specific parameters or health conditions, individual recommendations are provided within the manuscript.

Indexed as

Mobility LimitationWalkingWearable Electronic DevicesAgedDigital HealthFemaleGaitHumansMaleMiddle AgedMultiple SclerosisParkinson DiseasePulmonary Disease, Chronic ObstructiveReproducibility of ResultsTime FactorsDigital healthGaitReliabilityWalking activityWearable sensors

Identifiers

PMID41272787
PMCPMC12639672

What Socratic 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 Socratic graph.