Evidence map›Paper›PMID 42022861›Full record

ArticleJournal for the measurement of physical behaviour2026

Real-Time Versus Video-Recorded Step Count Validation Among Young Adults.

Sicong Ren, Mariya Boikova, Cayla R McAvoy, Agnes Bucko, Tahmina Begum, Mike Dulin, Spencer Ingoglia, Maha Raya, Leah Patterson, Daheia J Barr-Anderson and 3 more

Abstract read
In one paragraph

Article in Journal for the measurement of physical behaviour, 2026. 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

13 authors.

Sicong RenDepartment of Epidemiology and Community Health, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID 0000-0002-4667-4372
Mariya BoikovaDepartment of Applied Physiology, Health, and Clinical Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA.
Cayla R McAvoyDepartment of Epidemiology and Community Health, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID 0000-0001-7060-9768
Agnes BuckoDepartment of Applied Physiology, Health, and Clinical Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID 0000-0002-9162-7217
Tahmina BegumDepartment of Epidemiology and Community Health, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID 0009-0007-7388-8556
Mike DulinDepartment of Health Management and Policy, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID 0000-0002-2530-9915
Spencer IngogliaDepartment of Applied Physiology, Health, and Clinical Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA.
Maha RayaDepartment of Epidemiology and Community Health, University of North Carolina at Charlotte, Charlotte, NC, USA.
Leah PattersonDepartment of Applied Physiology, Health, and Clinical Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA.
Daheia J Barr-AndersonDepartment of Applied Physiology, Health, and Clinical Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID 0000-0001-5896-4388
Trudy Moore-HarrisonDepartment of Applied Physiology, Health, and Clinical Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID 0000-0002-0854-5975
Catrine Tudor-LockeDepartment of Applied Physiology, Health, and Clinical Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID 0000-0003-4342-5909
Laura H GunnDepartment of Epidemiology and Community Health, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID 0000-0003-3962-4526

Funding

The SKyRoCKeT Study: Surface-Knit and Reformulate CADENCE-Kids for Translation.R01HD105768 · NICHD · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI Daheia Julina Barr-Anderson, Laura H Gunn · 2022 to 2026
$2.9M
NICHD NIH HHS R01 HD105768
6 · The paper itself

Abstract

Background: Consumer Technology Association guidelines recommend two independent researchers review video recordings of treadmill bouts to verify accuracy of the number of steps taken. Performing multiple post hoc validation checks requires significant resources for personnel time and costs, but it is unknown if the burden is necessary. The purpose of this study was to evaluate accuracy and efficiency of step counts assessed during direct observation compared with multiple reviews of video recordings. Methods: Participants ages 18-20 years (n = 72) completed up to twelve 5-min, zero-incline treadmill bouts, speeds ranging 0.2-2.7 m/s (0.5-6.0 mph). Directly observed steps were counted and hand-tallied in real-time. A sex-age stratified random sample of 30 participants' bouts were selected for analysis. Two independent researchers recounted steps from video recordings, producing three independent counts. Intraclass correlation coefficient determined interrater reliability. Mean average percent deviation computed deviation magnitude among the three counts. Correlation tests determined the relationship between absolute count differences and average counts for each pairwise comparison. Results: Interrater reliability was excellent with intraclass correlation coefficients ≥ .995 (p < .001) across all speeds. Average mean average percent deviation was 0.29% with bout-specific deviations ranging from 0.10% to 0.54%, indicating < 1% difference among the three counts for all bouts. Conclusions: A single real-time step count represents a sufficient and efficient approach to measure steps taken in a controlled treadmill setting, while video recounts serve as back-up to allay potential data loss concerns and/or for random selection verification. These data-driven findings are useful for optimizing personnel time and reducing costs associated with collecting quality data in large-scale treadmill-based step-counting studies.

Indexed as

criterion measureinterrater reliabilitymean absolute percent deviation (MAPD)

Identifiers

PMID42022861
PMCPMC13099236

What OpenQuestion holds

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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.