Evidence map›Paper›PMID 26674410›Full record

ArticleApplied ergonomics2016

Evaluation of four sensor locations for physical activity assessment.

Mark C Schall, Nathan B Fethke, Howard Chen

Open access · greenAbstract readComparative Study
In one paragraph

Article in Applied ergonomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 26 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Mark C SchallDepartment of Industrial and Systems Engineering, Auburn University, Auburn, AL, USA. Electronic address: mark-schall@auburn.edu.
Nathan B FethkeDepartment of Occupational and Environmental Health, University of Iowa, Iowa City, IA, USA. Electronic address: nathan-fethke@uiowa.edu.
Howard ChenDepartment of Occupational and Environmental Health, University of Iowa, Iowa City, IA, USA. Electronic address: howard-chen@uiowa.edu.
University of Iowa · USAuburn University · US

Funding

Healthier Workforce Center of the MidwestU19OH008868 · OH · UNIVERSITY OF IOWA · PI ROHLMAN, DIANE S · 2006 to 2025
$19.8M
NIOSH CDC HHS U19OH008858NIOSH CDC HHS U19 OH008868
6 · The paper itself

Abstract

Direct measurements of physical activity (PA) obtained with inertial measurement units (IMUs) secured to the upper arms and trunk of 36 registered nurses working a full shift were compared to measurements obtained with a commercially-available PA monitor (ActiGraph wGT3X-BT) worn at the waist. Raw accelerations from each device were summarized into PA counts/min and metabolic equivalent (METs) categories using standard definitions. Differences between measurements were examined using repeated measures one-way analyses of variance (ANOVA) and agreement was assessed using Bland-Altman plots. Statistically significant differences were observed between all sensor locations for all PA summary metrics except for between the left and right arm for percentages of work time in the light and moderate counts/min categories. Bland-Altman plots suggested limited agreement between measurements obtained with the IMUs and measurements obtained with the wGT3X-BT waist-worn PA monitor. Results indicate that PA measurements vary substantially based on sensor location.

Indexed as

Nursing StaffAccelerationActigraphyAdultArmBackFemaleHumansMetabolic EquivalentMotor ActivityOccupational ExposurePostureYoung AdultAccelerometerLow backMusculoskeletal disordersPhysical activityPostureShoulder

Identifiers

PMID26674410
PMCPMC9774999
OpenAlexW1811913911

What OpenQuestion holds

Textmetadata
LicenceTDM
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.