Evidence map›Paper›PMID 37514849›Full record

ArticleSensors (Basel, Switzerland)2023

Beyond the Clinic: Maximum Free-Living Stepping as a Potential Measure of Physical Performance.

Craig Speirs, Mark D Dunlop, Marc Roper, Malcolm Granat

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Craig SpeirsPAL Technologies Ltd., Glasgow G4 0TQ, UK.
Mark D DunlopDepartment of Computer and Information Sciences, University of Strathclyde, Glasgow G1 1XH, UK.ORCID 0000-0002-4593-1103
Marc RoperDepartment of Computer and Information Sciences, University of Strathclyde, Glasgow G1 1XH, UK.
Malcolm GranatSchool of Health and Society, University of Salford, Salford M6 6PU, UK.ORCID 0000-0002-0722-2760
University of Strathclyde · GBUniversity of Salford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measures of physical performance captured within a clinical setting are commonly used as a surrogate for underlying health or disease risk within an individual. By measuring physical behaviour within a free-living setting, we may be able to better quantify physical performance. In our study, we outline an approach to measure maximum free-living step count using a body-worn sensor as an indicator of physical performance. We then use this approach to characterise the maximum step count over a range of window durations within a population of older adults to identify a preferred duration over which to measure the maximum step count. We found that while almost all individuals (97%) undertook at least one instance of continuous stepping longer than two minutes, a sizeable minority of individuals (31%) had no periods of continuous stepping longer than six minutes. We suggest that the maximum step count measured over a six-minute period may be too sensitive to the adults' lack of opportunity to undertake prolonged periods of stepping, and a two-minute window could provide a more representative measure of physical performance.

Indexed as

Physical Functional PerformanceWalkingAgedHumansaccelerometeractivPALiDataphysical activitystepping

Identifiers

PMID37514849
PMCPMC10383089
OpenAlexW4385070154

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.