Evidence map›Paper›PMID 29662048›Full record

ArticleSensors (Basel, Switzerland)2018

"What Is a Step?" Differences in How a Step Is Detected among Three Popular Activity Monitors That Have Impacted Physical Activity Research.

Dinesh John, Alvin Morton, Diego Arguello, Kate Lyden, David Bassett

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Physical activity measurements in individuals with interstitial lung disease: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2023
    Pooled it
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  17. Linking Gait Biomechanics and Daily Steps After ACL Reconstruction.Medicine and science in sports and exercise · 2022
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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

5 authors at 2 institutions in 1 country.

Dinesh JohnDepartment of Health Sciences, Northeastern University, Boston, MA 02115, USA. d.john@neu.edu.
Alvin MortonDepartment of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, TN 37996 USA. amorto16@vols.utk.edu.ORCID 0000-0003-2177-8148
Diego ArguelloDepartment of Health Sciences, Northeastern University, Boston, MA 02115, USA. arguello.d@husky.neu.edu.
Kate LydenKAL Research/Consulting, Denver, CO 80206, USA. katelyden6@gmail.com.
David BassettDepartment of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, TN 37996 USA. dbassett@utk.edu.
Northeastern University · USUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: This study compared manually-counted treadmill walking steps from the hip-worn DigiwalkerSW200 and OmronHJ720ITC, and hip and wrist-worn ActiGraph GT3X+ and GT9X; determined brand-specific acceleration amplitude (g) and/or frequency (Hz) step-detection thresholds; and quantified key features of the acceleration signal during walking. (2) Methods: Twenty participants (Age: 26.7 ± 4.9 years) performed treadmill walking between 0.89-to-1.79 m/s (2-4 mph) while wearing a hip-worn DigiwalkerSW200, OmronHJ720ITC, GT3X+ and GT9X, and a wrist-worn GT3X+ and GT9X. A DigiwalkerSW200 and OmronHJ720ITC underwent shaker testing to determine device-specific frequency and amplitude step-detection thresholds. Simulated signal testing was used to determine thresholds for the ActiGraph step algorithm. Steps during human testing were compared using bias and confidence intervals. (3) Results: The OmronHJ720ITC was most accurate during treadmill walking. Hip and wrist-worn ActiGraph outputs were significantly different from the criterion. The DigiwalkerSW200 records steps for movements with a total acceleration of ≥1.21 g. The OmronHJ720ITC detects a step when movement has an acceleration ≥0.10 g with a dominant frequency of ≥1 Hz. The step-threshold for the ActiLife algorithm is variable based on signal frequency. Acceleration signals at the hip and wrist have distinctive patterns during treadmill walking. (4) Conclusions: Three common research-grade physical activity monitors employ different step-detection strategies, which causes variability in step output.

Indexed as

Motor ActivityAccelerationAccelerometryAdultHumansWalkingWristYoung AdultaccelerationActiGraphPedometerphysical activityStep-detection

Identifiers

PMID29662048
PMCPMC5948774
OpenAlexW2796769655

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.