Evidence map›Paper›PMID 40520027›Full record

ArticleBMJ open sport & exercise medicine2025

Associations between 24-hour movement compositions and cardiometabolic health in children and adolescents: a five-part compositional analysis using data from the International Children's Accelerometery Database (ICAD).

Zoë A Marshall, Adam Runacres, Pedro Curi Hallal, Russ Jago, Soyang Kwon, Kate Northstone, Russell R Pate, Jardena Puder, John J Reilly, Luis B Sardinha and 3 more

Abstract read
In one paragraph

Article in BMJ open sport & exercise medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

13 authors.

Zoë A MarshallInstitute of Sport, Manchester Metropolitan University, Manchester, UK.ORCID 0000-0003-4100-2689
Adam RunacresInstitute of Sport, Manchester Metropolitan University, Manchester, UK.ORCID 0000-0002-8251-2805
Pedro Curi HallalUniversity of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Russ JagoPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Soyang KwonBuehler Center for Health Policy and Economics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Kate NorthstonePopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Russell R PateDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina, USA.
Jardena PuderObstetric Service, Lausanne University Hospital Department of Woman Mother and Child, Lausanne, Switzerland.
John J ReillyDepartment of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.
Luis B SardinhaExercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.ORCID 0000-0002-6230-6027
Niels WedderkoppDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark.
Ester Van SlujisMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
International Children’s Accelerometery Database (ICAD) Collaborators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The benefits of physical activity (PA) and the negative impacts of sedentary time (SED) on health in youth are well established. However, uncertainty remains surrounding how PA and SED jointly influence cardiometabolic risk (CMR) factors. The aim of this study was to determine the joint influence of SED, light-, moderate- and vigorous-intensity PA (LPA, MPA and VPA), and sleep on CMR factors using five-part compositional analyses. Methods: Data were pooled from 16 cohort studies comprising 22 474 children and adolescents from the International Children's Accelerometery Database. PA was measured using hip-mounted accelerometers with sleep self-reported. CMRs included body mass index (BMI), waist circumference (WC), systolic and diastolic blood pressure, fasting high- and low-density lipoprotein cholesterol, triglycerides, insulin and glucose. Time spent for sleep, SED, LPA, MPA and VPA was analysed using a compositional linear regression model. Results: The overall PA composition explained between 3.0 and 27.0% of the variance in CMR factors after accounting for age, sex, ethnicity and seasonal variation. However, when movement behaviours were explored in isolation, only sleep was associated with all CMR factors. In girls, compositions with 10 min more VPA were associated with a 2.5-4.4% greater BMI and WC. However, 10 min reallocations of time in boys had no impact on any CMR factor. Conclusion: These findings highlight that sleep and VPA are significantly associated with all CMR factors in youth, and therefore specific recommendations are needed to improve the current, and future, health of children and adolescents.

Indexed as

AccelerometerAdolescentChildrenPhysical activity

Identifiers

PMID40520027
PMCPMC12164611

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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.