Evidence map›Paper›PMID 37667391›Full record

ArticleThe international journal of behavioral nutrition and physical activity2023

Gender differences in the distribution of children's physical activity: evidence from nine countries.

Luke Kretschmer, Gul Deniz Salali, Lars Bo Andersen, Pedro C Hallal, Kate Northstone, Luís B Sardinha, Mark Dyble, David Bann, 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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
35.9field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 124 citations in OpenAlex.

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14 more citing papers are in PubMed but not listed here.

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 6 institutions in 4 countries.

Luke KretschmerCentre for Longitudinal Studies, Social Research Institute, UCL, London, UK. luke.kretschmer.18@ucl.ac.uk.ORCID http://orcid.org/0000-0002-0603-6472
Gul Deniz SalaliDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.
Lars Bo AndersenDepartment of Sport, Food and Natural Sciences, Faculty of Teacher Education and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.
Pedro C HallalDepartment of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana-Champaign, USA.
Kate NorthstoneBristol School of Medicine, Population Health Sciences, University of Bristol, Bristol, UK.
Luís B SardinhaExercise and Health Laboratory, Faculdade de Motricidade Humana, CIPER, Universidade de Lisboa, Cruz Quebrada, Portugal.
Mark DybleDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.
David BannCentre for Longitudinal Studies, Social Research Institute, UCL, London, UK.
International Children’s Accelerometry Database (ICAD) Collaborators
University of Lisbon · PTUniversity College London · GBUniversity of Bristol · GBWestern Norway University of Applied Sciences · NOUniversities UK · GBUniversity of Illinois Urbana-Champaign · US

Funding

Biotechnology and Biological Sciences Research CouncilBritish Heart FoundationCancer Research UKChief Scientist OfficeDepartment of HealthMedical Research Council G0701877Medical Research Council MC_UU_00006/5Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/7Medical Research Council MR/V002147/1
6 · The paper itself

Abstract

backgroundPhysical activity in childhood is thought to influences health and development. Previous studies have found that boys are typically more active than girls, yet the focus has largely been on differences in average levels or proportions above a threshold rather than the full distribution of activity across all intensities. We thus examined differences in the distribution of physical activity between girls and boys in a multi-national sample of children.

methodsWe used the harmonised International Children Accelerometry Database (ICAD), including waist-worn accelerometry data from 15,461 individuals (Boys: 48.3%) from 9 countries. Employing Generalised Additive Models of Location, Shape, and Scale (GAMLSS) we investigated gender differences in the distribution of individuals, including comparisons of variability (SD) and average physical activity levels (mean and median) and skewness. We conducted this analysis for each activity intensity (Sedentary, Light, and Moderate-to-Vigorous (MVPA)) and a summary measure (counts per minute (CPM)).

resultsSizable gender differences in the distribution of activity were found for moderate to vigorous activity and counts per minute, with boys having higher average levels (38% higher mean volumes of MVPA, 20% higher CPM), yet substantially more between-person variability (30% higher standard deviation (SD) for MVPA, 17% higher SD for CPM); boys' distributions were less positively skewed than girls. Conversely, there was little to no difference between girls and boys in the distribution of sedentary or light-intensity activity.

conclusionsInequality in activity between girls and boys was driven by MVPA. The higher mean volumes of MVPA in boys occurred alongside greater variability. This suggests a need to consider the underlying distribution of activity in future research; for example, interventions which target gender inequality in MVPA may inadvertently lead to increased inequality within girls.

Indexed as

AccelerometryExerciseChildDatabases, FactualFemaleHumansMaleSex FactorsAccelerometerALSPACChildhoodGAMLSSGenderICADPhysical activity

Identifiers

PMID37667391
PMCPMC10478357
OpenAlexW4386422787

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.