Evidence map›Paper›PMID 38956788›Full record

ArticleEuropean journal of sport science2024

Improving the identification of bone-specific physical activity using wrist-worn accelerometry: A cross-sectional study in 11-12-year-old Australian children.

Gemma Brailey, Brad Metcalf, Lisa Price, Sean Cumming, Alex Rowlands, Timothy Olds, Peter Simm, Melissa Wake, Victoria Stiles

Abstract read
In one paragraph

Article in European journal of sport science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gemma BraileyDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0001-7987-5616
Brad MetcalfDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Lisa PriceDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Sean CummingDepartment for Health, University of Bath, Bath, UK.
Alex RowlandsDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK.
Timothy OldsAlliance for Research in Exercise, Nutrition, and Activity, University of South Australia, Adelaide, South Australia, Australia.
Peter SimmMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Melissa WakeMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Victoria StilesDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.

Funding

Australian National Health and Medical Research Council 1041352Australian National Health and Medical Research Council 1109355Collaboration for Leadership in Applied Health Research and Care East MidlandsEconomic and Social Research CouncilFinancial Markets Foundation for Children 2014-055Financial Markets Foundation for Children 2016-310Murdoch Children's Research InstituteNHMCR Principal Research Fellowship 1160906NIHR Leicester Biomedical Research CentreRoyal Children's Hospital Foundation 2014-241University of MelbourneVictorian Deaf Education InstituteWellcome Trust 100660
6 · The paper itself

Abstract

Physical activity (PA) during childhood and adolescence is important for the accrual of maximal peak bone mass. The precise dose that benefits bone remains unclear as methods commonly used to analyze PA data are unsuitable for measuring bone-relevant PA. Using improved accelerometry methods, this study identified the amount and intensity of PA most strongly associated with bone outcomes in 11-12-year-olds. Participants (n = 770; 382 boys) underwent tibial peripheral quantitative computed tomography to assess trabecular and cortical density, endosteal and periosteal circumference and polar stress-strain index. Seven-day wrist-worn raw acceleration data averaged over 1-s epochs was used to estimate time accumulated above incremental PA intensities (50 milli-gravitational unit (mg) increments from 200 to 3000 mg). Associations between time spent above each 50 mg increment and bone outcomes were assessed using multiple linear regression, adjusted for age, sex, height, weight, maturity, socioeconomic position, muscle cross-sectional area and PA below the intensity of interest. There was a gradual increase in mean R

Indexed as

AccelerometryBone DensityExerciseAustraliaChildCross-Sectional StudiesFemaleHumansMaleTibiaTomography, X-Ray ComputedWristaccelerometryadolescentsbone healthcross‐sectional studiesphysical activity

Identifiers

PMID38956788
PMCPMC11235707

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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.