Evidence map›Paper›PMID 27566897›Full record

ArticleJournal of science and medicine in sport2017

Validation of thigh-based accelerometer estimates of postural allocation in 5-12 year-olds.

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

Abstract readValidation Study
In one paragraph

Article in Journal of science and medicine in sport, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Validity and Reliability of the activPAL4Sensors (Basel, Switzerland) · 2023
    Article
  2. Article
  3. Article
  4. Comparability of ActivPAL-Based Estimates of Meeting Physical Activity Guidelines for Preschool Children.International journal of environmental research and public health · 2019
    Article
  5. 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

10 authors.

Christiana M T van LooEarly Start Research Institute and Illawarra Health and Medical Research Institute, Faculty of Social Sciences, University of Wollongong, Australia. Electronic address: cmtvl646@uowmail.edu.au.
Anthony D OkelyEarly Start Research Institute and Illawarra Health and Medical Research Institute, Faculty of Social Sciences, University of Wollongong, Australia.
Marijka J BatterhamSchool of Mathematics and Applied Statistics, University of Wollongong, Australia.
Trina HinkleyDeakin University, Geelong, Australia, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences.
Ulf EkelundNorwegian School of Sports Sciences, Norway; MRC Epidemiology Unit, University of Cambridge, United Kingdom.
Søren BrageMRC Epidemiology Unit, University of Cambridge, United Kingdom.
John J ReillyUniversity of Strathclyde, School of Psychological Sciences and Health, Scotland.
Rachel A JonesEarly Start Research Institute and Illawarra Health and Medical Research Institute, Faculty of Social Sciences, University of Wollongong, Australia.
Xanne JanssenUniversity of Strathclyde, School of Psychological Sciences and Health, Scotland.
Dylan P CliffEarly Start Research Institute and Illawarra Health and Medical Research Institute, Faculty of Social Sciences, University of Wollongong, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo validate activPAL3™ (AP3) for classifying postural allocation, estimating time spent in postures and examining the number of breaks in sedentary behaviour (SB) in 5-12 year-olds.

designLaboratory-based validation study.

methodsFifty-seven children completed 15 sedentary, light- and moderate-to-vigorous intensity activities. Direct observation (DO) was used as the criterion measure. The accuracy of AP3 was examined using a confusion matrix, equivalence testing, Bland-Altman procedures and a paired t-test for 5-8y and 9-12y.

resultsSensitivity of AP3 was 86.8%, 82.5% and 85.3% for sitting/lying, standing, and stepping, respectively, in 5-8y and 95.3%, 81.5% and 85.1%, respectively, in 9-12y. Time estimates of AP3 were equivalent to DO for sitting/lying in 9-12y and stepping in all ages, but not for sitting/lying in 5-12y and standing in all ages. Underestimation of sitting/lying time was smaller in 9-12y (1.4%, limits of agreement [LoA]: -13.8 to 11.1%) compared to 5-8y (12.6%, LoA: -39.8 to 14.7%). Underestimation for stepping time was small (5-8y: 6.5%, LoA: -18.3 to 5.3%; 9-12y: 7.6%, LoA: -16.8 to 1.6%). Considerable overestimation was found for standing (5-8y: 36.8%, LoA: -16.3 to 89.8%; 9-12y: 19.3%, LoA: -1.6 to 36.9%). SB breaks were significantly overestimated (5-8y: 53.2%, 9-12y: 28.3%, p<0.001).

conclusionsAP3 showed acceptable accuracy for classifying postures, however estimates of time spent standing were consistently overestimated and individual error was considerable. Estimates of sitting/lying were more accurate for 9-12y. Stepping time was accurately estimated for all ages. SB breaks were significantly overestimated, although the absolute difference was larger in 5-8y. Surveillance applications of AP3 would be acceptable, however, individual level applications might be less accurate.

Indexed as

AccelerometryChildChild, PreschoolHumansMovementPostureAccelerometryactivPALBreaksChildPhysical activitySedentary behaviour

Identifiers

PMID27566897
PMCPMC5361055

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.