Evidence map›Paper›PMID 24244433›Full record

Trial reportPloS one2013

Predictive validity and classification accuracy of ActiGraph energy expenditure equations and cut-points in young children.

Xanne Janssen, Dylan P Cliff, John J Reilly, Trina Hinkley, Rachel A Jones, Marijka Batterham, Ulf Ekelund, Søren Brage, Anthony D Okely

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 4 pooled it
11.7field-weighted citation impact, top 1% 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

81 citing papers in PubMed, 4 syntheses or guidelines pooled it, 201 citations in OpenAlex.

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  3. Determinants of change in accelerometer-assessed sedentary behaviour in children 0 to 6 years of age: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
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  15. Validity of Research-Grade Actigraphy Unit for Measuring Exercise Intensity.International journal of environmental research and public health · 2017
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21 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 3 countries.

Xanne JanssenInterdisciplinary Educational Research Institute, University of Wollongong, Wollongong, New South Wales, Australia.
Dylan P Cliff
John J Reilly
Trina Hinkley
Rachel A Jones
Marijka Batterham
Ulf Ekelund
Søren Brage
Anthony D Okely
University of Wollongong · AUAddenbrooke's Hospital · GBDeakin University · AUUniversity of Strathclyde · GB

Funding

Medical Research Council MC_U106179473
6 · The paper itself

Abstract

objectivesEvaluate the predictive validity of ActiGraph energy expenditure equations and the classification accuracy of physical activity intensity cut-points in preschoolers.

methodsForty children aged 4-6 years (5.3±1.0 years) completed a ∼150-min room calorimeter protocol involving age-appropriate sedentary, light and moderate-to vigorous-intensity physical activities. Children wore an ActiGraph GT3X on the right mid-axillary line of the hip. Energy expenditure measured by room calorimetry and physical activity intensity classified using direct observation were the criterion methods. Energy expenditure was predicted using Pate and Puyau equations. Physical activity intensity was classified using Evenson, Sirard, Van Cauwenberghe, Pate, Puyau, and Reilly, ActiGraph cut-points.

resultsThe Pate equation significantly overestimated VO2 during sedentary behaviors, light physical activities and total VO2 (P<0.001). No difference was found between measured and predicted VO2 during moderate-to vigorous-intensity physical activities (P = 0.072). The Puyau equation significantly underestimated activity energy expenditure during moderate-to vigorous-intensity physical activities, light-intensity physical activities and total activity energy expenditure (P<0.0125). However, no overestimation of activity energy expenditure during sedentary behavior was found. The Evenson cut-point demonstrated significantly higher accuracy for classifying sedentary behaviors and light-intensity physical activities than others. Classification accuracy for moderate-to vigorous-intensity physical activities was significantly higher for Pate than others.

conclusionAvailable ActiGraph equations do not provide accurate estimates of energy expenditure across physical activity intensities in preschoolers. Cut-points of ≤25 counts⋅15 s(-1) and ≥420 counts⋅15 s(-1) for classifying sedentary behaviors and moderate-to vigorous-intensity physical activities, respectively, are recommended.

Indexed as

Models, BiologicalAdolescentChildChild, PreschoolEnergy MetabolismFemaleHumansMale

Identifiers

PMID24244433
PMCPMC3823763
OpenAlexW2166309218

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.