Evidence map›Paper›PMID 40285246›Full record

ArticleSensors (Basel, Switzerland)2025

Association of Cut-Point Free Metrics and Common Clinical Tests Among Older Adults After Proximal Femoral Fracture.

Hananeh Younesian, David Singleton, Beatrix Vereijken, Judith Garcia-Aymerich, Lynn Rochester, Martin Aursand Berge, Monika Engdal, Joren Buekers, Sarah Koch, Jorunn L Helbostad and 7 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

17 authors.

Hananeh YounesianSchool of Public Health, Physiotherapy & Population Science, University College Dublin, D04 V1W8 Dublin, Ireland.ORCID 0000-0002-7695-2417
David SingletonSchool of Public Health, Physiotherapy & Population Science, University College Dublin, D04 V1W8 Dublin, Ireland.
Beatrix VereijkenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7030 Trondheim, Norway.ORCID 0000-0002-2231-8138
Judith Garcia-AymerichBarcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain.ORCID 0000-0002-7097-4586
Lynn RochesterTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE4 5PL, UK.
Martin Aursand BergeDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7030 Trondheim, Norway.ORCID 0000-0001-8741-0739
Monika EngdalDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7030 Trondheim, Norway.ORCID 0009-0007-4854-2561
Joren BuekersBarcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain.ORCID 0000-0003-4866-5741
Sarah KochBarcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain.
Jorunn L HelbostadDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7030 Trondheim, Norway.ORCID 0000-0003-0214-9290
Paula AlvarezBarcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain.
Carl-Philipp JansenDepartment of Clinical Gerontology, Robert Bosch Hospital, D 69115 Stuttgart, Germany.ORCID 0000-0002-2779-7019
Kamiar AminianLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1024 Lausanne, Switzerland.ORCID 0000-0002-6582-5375
Anisoara Paraschiv-IonescuLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1024 Lausanne, Switzerland.ORCID 0000-0002-2341-4383
Clemens BeckerDepartment of Clinical Gerontology, Robert Bosch Hospital, D 69115 Stuttgart, Germany.
Brian CaulfieldSchool of Public Health, Physiotherapy & Population Science, University College Dublin, D04 V1W8 Dublin, Ireland.ORCID 0000-0003-0290-9587
Mobilise-D Consortium

Funding

European Union's Horizon 2020 research and innovation programme-Marie Skłodowska-Curie grant 101034252Innovative Medicines Initiative 820820
6 · The paper itself

Abstract

Wearable and lightweight devices facilitate real-world physical activity (PA) assessments. MX metrics, as a cut-point-free parameter, evaluate acceleration above which the most active X minutes are accumulated. It provides insights into the intensity of PA over specific durations. This study evaluated the association of MX metrics and clinical tests in older adults recovering from proximal femoral fracture (PFF). Analyses were conducted on the PFF cohort from the baseline assessment of the Mobilise-D project using an accelerometer-based device. Participants (N = 396) were categorized into four recovery groups: acute, post-acute, extended recovery, and long-term recovery. Mobility capacity was assessed through the 6 min walking test (6MinWT), Short Physical Performance Battery (SPPB), 4-m walking test (4MWT), and hand grip (HG) strength. Mobility perception was evaluated using the Late-Life Function and Disability Instrument (LLFDI). Eight MX metrics (M1-M90) were calculated using the GGIR package in R. Results showed a moderate to strong positive correlation between M1 and M30 and lower limb mobility capacity tests and mobility perception (Lower Extremity domains) particularly in the extended and long-term recovery groups. MX metrics can be used for measuring PA intensity among older adults recovering from PFF. Hence, MX metrics have a high potential for clinical use as personalized PA targets in PFF rehabilitation.

Indexed as

Femoral FracturesAccelerometryAgedAged, 80 and overExerciseFemaleHand StrengthHumansMaleProximal Femoral FracturesWalkingWearable Electronic Devicesaccelerationclinical assessmentLLFDIMX metricsphysical activity

Identifiers

PMID40285246
PMCPMC12031448

What OpenQuestion 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 OpenQuestion graph.