Evidence map›Paper›PMID 35366914›Full record

ArticleThe international journal of behavioral nutrition and physical activity2022

Cross-sectional and longitudinal associations of active travel, organised sport and physical education with accelerometer-assessed moderate-to-vigorous physical activity in young people: the International Children's Accelerometry Database.

Erika Ikeda, Justin M Guagliano, Andrew J Atkin, Lauren B Sherar, Ulf Ekelund, Bjørge Hansen, Kate Northstone, Esther van Sluijs, International Children’s Accelerometry Database (ICAD) Collaborators

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  8. The sleep and activity database for the early years (SADEY) study: design and methods.Journal of activity, sedentary and sleep behaviors · 2024
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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

9 authors at 7 institutions in 3 countries.

Erika IkedaMRC Epidemiology Unit, University of Cambridge, Cambridge, UK. erika.ikeda@mrc-epid.cam.ac.uk.ORCID 0000-0001-6999-3918
Justin M GuaglianoMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Andrew J AtkinSchool of Health Sciences, University of East Anglia, Norwich, UK.
Lauren B SherarSchool of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, UK.
Ulf EkelundDepartment of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Bjørge HansenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Kate NorthstonePopulation Health Sciences, Bristol School of Medicine, University of Bristol, Bristol, UK.
Esther van SluijsMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
International Children’s Accelerometry Database (ICAD) Collaborators
Deakin University · AUUniversity of Bristol · GBUniversity of Agder · NOUniversity of Cambridge · GBLoughborough University · GBNorwegian School of Sport Sciences · NOUniversity of East Anglia · GB

Funding

Medical Research Council G0501294Medical Research Council G0701877Medical Research Council MC_UU_00006/5Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/6Medical Research Council MC_UU_12015/7Wellcome TrustWellcome Trust 217065/Z/19/Z
6 · The paper itself

Abstract

backgroundPhysical activity (PA) declines during childhood. Important sources of PA are active travel, organised sport and physical education (PE), but it is unclear how these domain-specific PA sources contribute to (changes in) daily moderate-to-vigorous PA (MVPA) in young people. This study aimed to examine (1) the cross-sectional association between domain-specific physical activity (i.e., active travel, organised sport and PE) and daily minutes in accelerometer-assessed MVPA; and (2) the longitudinal association between domain-specific physical activity at baseline and change in daily minutes in MVPA.

methodsParticipants (baseline age 11.3 ± .1.2 years) were drawn from three studies in the International Children's Accelerometry Database. The contribution of self-reported standardised active travel, organised sport and PE to accelerometer-measured daily minutes in MVPA was examined using linear regression. In cross-sectional analyses, MVPA was regressed on each PA domain in separate models, adjusted for study, age, sex, maternal education, season, and monitor wear time. In longitudinal analyses, change in MVPA was regressed on each of the baseline PA domains, additionally adjusting for changes in season and wear time, follow-up duration, and baseline MVPA. R-squared was used to compare variance explained by each PA domain.

resultsIn the cross-sectional analyses (n = 3871), organised sport (standardised β = 3.81, 95% confidence interval [95%CI] = 3.06, 4.56) and active travel (β = 3.46, 95%CI = 2.73, 4.19) contributed more to daily MVPA than PE (β = 0.82, 95%CI = -0.02, 1.66). Compared to the base model which included only covariates (R

conclusionsA multi-sectoral approach covering a wide range of PA domains should be promoted to minimise the age-related decline in MVPA during childhood.

Indexed as

Physical Education and TrainingSportsAccelerometryAdolescentChildCross-Sectional StudiesExerciseHumansActive transportAdolescentChildrenICADMVPAOrganized sportPE

Identifiers

PMID35366914
PMCPMC8977036
OpenAlexW4225575572

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.