Evidence map›Paper›PMID 29431128›Full record

Observational studyBMJ open2018

Correlates of intensity-specific physical activity in children aged 9-11 years: a multilevel analysis of UK data from the International Study of Childhood Obesity, Lifestyle and the Environment.

Hannah J Wilkie, Martyn Standage, Fiona B Gillison, Sean P Cumming, Peter T Katzmarzyk

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01722500 (International Study of Childhood Obesity, Lifestyle and the Environment), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

NCT01722500 completednot on this map

International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE)

TypeobservationalSponsorPennington Biomedical Research CenterRan2010 to 2014Enrolled7,806ConditionsChildhood Obesity
3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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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

5 authors.

Hannah J WilkieDepartment for Health, Centre for Motivation and Health Behaviour Change, University of Bath, Bath, UK.
Martyn StandageDepartment for Health, Centre for Motivation and Health Behaviour Change, University of Bath, Bath, UK.
Fiona B GillisonDepartment for Health, Centre for Motivation and Health Behaviour Change, University of Bath, Bath, UK.
Sean P CummingDepartment for Health, Centre for Motivation and Health Behaviour Change, University of Bath, Bath, UK.
Peter T KatzmarzykPennington Biomedical Research Center, Baton Rouge, Louisiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPhysical activity (PA) can provide numerous physical and psychological health gains, yet a low proportion of children in England are sufficiently active to accrue benefit. Analysing the correlates of PA from a socioecological perspective may help to identify factors that promote versus discourage PA. The purpose of the present study was to: (1) assess the relationships between a wide range of potential correlates and intensity-specific PA and (2) explore which correlates are associated with meeting government PA guidelines. DESIGN, SETTING AND

participantsCross-sectional study on children aged 9-11 years from the South West of England (n=425; 183 males). OUTCOME MEASURES: A mixture of self-reported and objective measures (eg, body mass index (BMI), accelerometer-derived PA, self-reported sport participation, etc) were collected from child participants, parents and school teachers. After adjusting for covariates (ie, age, sex and accelerometer wear time), multilevel modelling techniques were employed to examine the relationships between potential correlates and light-intensity, moderate-intensity and vigorous-intensity PA, as measured with an ActiGraph GT3X+ accelerometer. Generalised linear mixed modelling was used to analyse the correlates associated with government-recommended levels of PA.

resultsComputer use shared a negative association whereas parent support for PA showed a positive relationship with light-intensity PA. In terms of moderate-intensity PA, computer use and BMI z-score shared a negative association whereas positive relationships were found for sport participation, active transport and for outdoor time after school. Children at schools with 25%-49% of pupils attending school sport/PA clubs did more moderate-intensity PA than those attending schools with lower participation rates. For vigorous-intensity PA, a negative relationship was observed for BMI z-score, and positive associations for self-efficacy, active transport, parent support and the presence of crossing guards on routes to school. Correlates associated with meeting the PA guidelines were BMI z-score (negative), sport participation, active transport and outdoor time after school (all positive).

conclusionResults demonstrate that factors pertaining to the individual, home and school environment may play an important role in understanding the correlates of differing PA intensities in children. TRIAL REGISTRATION NUMBER: NCT01722500.

Indexed as

ExerciseSportsBody Mass IndexChildCross-Sectional StudiesEnglandFemaleHumansLife StyleLinear ModelsMaleMultilevel AnalysisPediatric ObesitySchoolsSelf ReportStudentschildcorrelatesmultilevel analysisphysical activity

Identifiers

PMID29431128
PMCPMC5829668

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.