Evidence map›Paper›PMID 35886629›Full record

ArticleInternational journal of environmental research and public health2022

The Physical Behaviour Intensity Spectrum and Body Mass Index in School-Aged Youth: A Compositional Analysis of Pooled Individual Participant Data.

Stuart J Fairclough, Liezel Hurter, Dorothea Dumuid, Ales Gába, Alex V Rowlands, Borja Del Pozo Cruz, Ashley Cox, Matteo Crotti, Lawrence Foweather, Lee E F Graves and 8 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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  7. Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents.The international journal of behavioral nutrition and physical activity · 2023
    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

18 authors.

Stuart J FaircloughMovement Behaviours, Nutrition, Health & Wellbeing Research Group, Department Sport & Physical Activity, Edge Hill University, St Helens Road, Ormskirk L39 4QP, UK.ORCID 0000-0001-8358-1979
Liezel HurterResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.
Dorothea DumuidAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA 5001, Australia.ORCID 0000-0003-3057-0963
Ales GábaFaculty of Physical Culture, Palacký University Olomouc, CZ 779 00 Olomouc, Czech Republic.ORCID 0000-0002-7236-9072
Alex V RowlandsDiabetes Research Centre, Leicester General Hospital, University of Leicester, Gwendolen Road, Leicester LE5 4PW, UK.ORCID 0000-0002-1463-697X
Borja Del Pozo CruzDepartment of Sports Science and Clinical Biomechanics, University of Southern Denmark, 5230 Odense, Denmark.
Ashley CoxMovement Behaviours, Nutrition, Health & Wellbeing Research Group, Department Sport & Physical Activity, Edge Hill University, St Helens Road, Ormskirk L39 4QP, UK.ORCID 0000-0002-4866-4688
Matteo CrottiResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.
Lawrence FoweatherResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.ORCID 0000-0001-9851-5421
Lee E F GravesResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.ORCID 0000-0002-3323-313X
Owen JonesResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.
Deborah A McCannResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.
Robert J NoonanDepartment of Psychology, University of Liverpool, Liverpool L69 7ZA, UK.ORCID 0000-0001-9575-5729
Michael B OwenDepartment of Applied Health and Social Care and Social Work, Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk L39 4QP, UK.ORCID 0000-0002-7960-2404
James R RuddDepartment of Teacher Education and Outdoor Studies, Norwegian School of Sport Sciences, 0863 Oslo, Norway.
Sarah L TaylorResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.
Richard TylerMovement Behaviours, Nutrition, Health & Wellbeing Research Group, Department Sport & Physical Activity, Edge Hill University, St Helens Road, Ormskirk L39 4QP, UK.ORCID 0000-0001-9756-5582
Lynne M BoddyResearch Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool L3 3AF, UK.ORCID 0000-0002-7477-4389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the compositional associations between the intensity spectrum derived from incremental acceleration intensity bands and the body mass index (BMI) z-score in youth, and investigated the estimated differences in BMI z-score following time reallocations between intensity bands. School-aged youth from 63 schools wore wrist accelerometers, and data of 1453 participants (57.5% girls) were analysed. Nine acceleration intensity bands (range: 0−50 mg to ≥700 mg) were used to generate time-use compositions. Multivariate regression assessed the associations between intensity band compositions and BMI z-scores. Compositional isotemporal substitution estimated the differences in BMI z-score following time reallocations between intensity bands. The ≥700 mg intensity bandwas strongly and inversely associated with BMI z-score (p < 0.001). The estimated differences in BMI z-score when 5 min were reallocated to and from the ≥700 mg band and reallocated equally among the remaining bands were −0.28 and 0.44, respectively (boys), and −0.39 and 1.06, respectively (girls). The time in the ≥700 mg intensity band was significantly associated with BMI z-score, irrespective of sex. When even modest durations of time in this band were reallocated, the asymmetrical estimated differences in BMI z-score were clinically meaningful. The findings highlight the utility of the full physical activity intensity spectrum over a priori-determined absolute intensity cut-point approaches.

Indexed as

ExerciseSedentary BehaviorAccelerationAdolescentBody Mass IndexChildFemaleHumansMaleSchoolsaccelerometeradiposityadolescentschildrenCoDaintensity spectrumphysical activity

Identifiers

PMID35886629
PMCPMC9320124

What OpenQuestion holds

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LicenceCC BY
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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.