Evidence map›Paper›PMID 42111370›Full record

ArticleERJ open research2026

The construct validity of real-world digital mobility outcomes in people with COPD.

Dimitrios Megaritis, Michael Long, Martí de Las Heras, Victoria Alcaraz-Serrano, Paula Alvarez, Clemens Becker, Julia Braun, Joren Buekers, Sara Buttery, Brian Caulfield and 24 more

Abstract read
In one paragraph

Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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 · 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

34 authors.

Dimitrios MegaritisFaculty of Health and Life Sciences, Northumbria University Newcastle, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0001-6786-4346
Michael LongSchool of Computer Science, The University of Sheffield, Sheffield, UK.
Martí de Las HerasBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Victoria Alcaraz-SerranoBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Paula AlvarezBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID https://orcid.org/0009-0005-3425-701X
Clemens BeckerRobert Bosch Foundation for Medical Research, Stuttgart, Germany.
Julia BraunEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zürich, Switzerland.ORCID https://orcid.org/0000-0001-8359-6177
Joren BuekersBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID https://orcid.org/0000-0003-4866-5741
Sara ButteryNational Heart and Lung Institute, Imperial College London, London, UK.
Brian CaulfieldInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
Andrea CereattiDepartment of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
Nikolaos ChynkiamisRehabilitation Unit, 1st University Department of Respiratory Medicine, "Sotiria" Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.ORCID https://orcid.org/0000-0002-9595-6974
Silvia Del DinTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0003-1154-4751
Laura Delgado-OrtizBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID https://orcid.org/0000-0003-0311-7661
Heleen DemeyerDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Anja FreiEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zürich, Switzerland.ORCID https://orcid.org/0000-0002-7134-1000
Elena Gimeno-SantosBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Nicholas S HopkinsonNational Heart and Lung Institute, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-3235-0454
Anisoara IonescuLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Carl-Philipp JansenRobert Bosch Foundation for Medical Research, Stuttgart, Germany.
Alícia Josa-CulleréBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Anne KirstenVelocity Clinical Research Germany, formerly Pulmonary Research Institute at Lungen Clinic Grosshansdorf, Airway Research Center North, German Center for Lung Research (DZL), Grosshansdorf, Germany.
Sarah KochBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Jorge LemosBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Keir E J PhilipNational Heart and Lung Institute, Imperial College London, London, UK.
Lynn RochesterTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0001-5774-9272
Basil SharrackDepartment of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
David SingletonInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
Beatrix VereijkenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0002-2231-8138
Ioannis VogiatzisFaculty of Health and Life Sciences, Northumbria University Newcastle, Newcastle upon Tyne, UK.
Henrik WatzVelocity Clinical Research Germany, formerly Pulmonary Research Institute at Lungen Clinic Grosshansdorf, Airway Research Center North, German Center for Lung Research (DZL), Grosshansdorf, Germany.
Vita LanfranchiSchool of Computer Science, The University of Sheffield, Sheffield, UK.
Thierry TroostersDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Judith Garcia-AymerichBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID https://orcid.org/0000-0002-7097-4586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent advances in wearable technologies make it possible to accurately quantify real-world mobility performance through technically validated digital mobility outcomes (DMOs). The aim of the present study was to evaluate the construct validity (convergent, divergent, and known-groups validity) of 24 DMOs quantifying walking activity (amount and pattern) and gait (pace, rhythm and bout-to-bout variability) in people with COPD. Methods: Part of the Mobilise-D observational cohort study, people with COPD, recruited from seven European sites, wore an activity monitor for 7 days during daily life. Functional capacity, health status, dyspnoea, lung function, quadriceps torque and experience of difficulty with physical activity were used as constructs for convergent validity testing (Pearson/Spearman correlation coefficients). Diastolic blood pressure was used as an unrelated construct for divergent validity (criterion: |r|<0.2). Known-groups validity was evaluated across Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages (I-IV), GOLD ABE and modified Medical Research Council dyspnoea grades (linear models with p-for-trend). Results: 549 participants (37% females), had mean±sd age of 68±8 years, post-bronchodilator forced expiratory volume in 1 s (FEV Conclusions: Construct validity was supported for all walking activity (amount and pattern) DMOs, and most of the gait (pace, rhythm, and bout-to-bout variability) DMOs, indicating the clinical utility of these measures.

Identifiers

PMID42111370
PMCPMC13152379

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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 OpenQuestion graph.