Evidence map›Paper›PMID 24612726›Full record

ArticleThe international journal of behavioral nutrition and physical activity2014

Combined influence of epoch length, cut-point and bout duration on accelerometry-derived physical activity.

Mark Orme, Katrien Wijndaele, Stephen J Sharp, Kate Westgate, Ulf Ekelund, Soren Brage

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 5 pooled it
–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

51 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Genetic variants related to physical activity or sedentary behaviour: a systematic review.The international journal of behavioral nutrition and physical activity · 2021
    Pooled it
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  4. Association between parent and child physical activity: a systematic review.The international journal of behavioral nutrition and physical activity · 2020
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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

6 authors.

Mark Orme
Katrien Wijndaele
Stephen J Sharp
Kate Westgate
Ulf Ekelund
Soren BrageMedical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Addenbrookes Hospital, Box 285, Cambridge, CB2 0QQ, UK. soren.brage@mrc-epid.cam.ac.uk.

Funding

British Heart Foundation FS/12/58/29709Medical Research Council MC_U106179473Medical Research Council MC_UU_12015/3
6 · The paper itself

Abstract

backgroundIt is difficult to compare accelerometer-derived estimates of moderate-to-vigorous physical activity (MVPA) between studies due to differences in data processing procedures. We aimed to evaluate the effects of accelerometer processing options on total and bout-accumulated time spent in MVPA in adults.

methods267 participants from the ProActive Trial provided 1236 days of valid physical activity (PA) data, collected using a 5-s epoch with ActiGraph GT1M accelerometers. We integrated data over 5-s to 60-s epoch lengths (EL) and applied two-level mixed effects regression models to MVPA time, defined using 1500 to 2500 counts/minute (cpm) cut-points (CP) and bout durations (BD) from 1 to 15 min.

resultsTotal MVPA time was lower on longer EL and higher CP (47 vs 26 min/day and 26 vs 5 min/day on 1500 vs 2500 cpm on 5-s and 60-s epoch, respectively); this could be approximated as MVPA=exp[2.197+0.279*log(CP)+6.120*log(EL) - 0.869*log(CP)*log(EL)] with an 800 min/day wear-time. In contrast, EL was positively associated with time spent in bout-accumulated MVPA; the approximating equation being MVPA=exp[54.679 - 6.268*log(CP)+6.387*log(EL) - 10.000*log(BD) - 0.162*log(EL)*log(BD) - 0.626*log(CP)*log(EL)+1.033*log(CP)*log(BD)]. BD and CP were inversely associated with MVPA, with higher values attenuating the influence of EL.

conclusionsEL, CP and BD interact to influence estimates of accelerometer-determined MVPA. In general, higher CP and longer BD result in lower MVPA but the direction of association for EL depends on BD. Reporting scaling coefficients for these key parameters across their frequently used ranges would facilitate comparisons of population-level accelerometry estimates of MVPA.

Indexed as

AccelerometryMotor ActivityAdultBody Mass IndexData Interpretation, StatisticalFemaleHumansMaleMiddle AgedTime Factors

Identifiers

PMID24612726
PMCPMC4008000

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LicenceCC BY
Read underepoch 390

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.