Evidence map›Paper›PMID 29224176›Full record

ArticleEuropean journal of applied physiology2018

Validation of a method for estimating energy expenditure during walking in middle-aged adults.

Nathan Caron, Teddy Caderby, Nicolas Peyrot, Chantal Verkindt, Georges Dalleau

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2018. 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
0.5field-weighted citation impact, top 33% 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, 5 citations in OpenAlex.

  1. Real-Time Tracking of Human Neck Postures and Movements.Healthcare (Basel, Switzerland) · 2021
    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

5 authors at 2 institutions in 2 countries.

Nathan CaronIRISSE Laboratory (EA4075), UFR SHE, University of La Réunion, 117 rue du General Ailleret, 97430, Le Tampon, La Réunion, France.ORCID http://orcid.org/0000-0001-9986-7605
Teddy CaderbyIRISSE Laboratory (EA4075), UFR SHE, University of La Réunion, 117 rue du General Ailleret, 97430, Le Tampon, La Réunion, France.
Nicolas PeyrotIRISSE Laboratory (EA4075), UFR SHE, University of La Réunion, 117 rue du General Ailleret, 97430, Le Tampon, La Réunion, France.
Chantal VerkindtIRISSE Laboratory (EA4075), UFR SHE, University of La Réunion, 117 rue du General Ailleret, 97430, Le Tampon, La Réunion, France.
Georges DalleauIRISSE Laboratory (EA4075), UFR SHE, University of La Réunion, 117 rue du General Ailleret, 97430, Le Tampon, La Réunion, France. georges.dalleau@univ-reunion.fr.
Centre Hospitalier Universitaire de La Réunion · FRUniversity of Reunion Island · RE

Funding

Réunion Region D2015033168
6 · The paper itself

Abstract

purposeThe aim of this study was to test the validity of a method using an inertial measurement unit for estimating activity-related energy expenditure (AEE) during walking in middle-aged adults.

methodsTwenty healthy middle-aged participants completed different treadmill walking trials with an inertial measurement unit adhered to their lower back. Gas exchange was monitored with indirect calorimetry. Mechanical data were used to estimate AEE from an algorithm developed by Bouten et al. (Med Sci Sport Exer 26(12):1516-1523, 1994). Three methods for removing the gravitational component were proposed and tested: mean subtraction method (MSM), high-pass filter method (HPM) and free acceleration method (FAM).

resultsThe three methods did not differ significantly from the indirect calorimetry [bias = - 0.08 kcal min

conclusionThis study proposed an accurate method for estimating AEE in middle-aged adults for a large range of walking intensities, from slow to brisk walking, based on Bouten's algorithm.

Indexed as

Energy MetabolismAccelerometryAgedAge FactorsExercise TestFemaleGravitationHumansMaleMiddle AgedWalkingAccelerometryActivity monitoringFiltering processNet metabolic rate

Identifiers

PMID29224176
OpenAlexW2774904829

What OpenQuestion holds

Textmetadata
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.