Evidence map›Paper›PMID 41039642›Full record

ArticleHealth promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals2025

Physical Activity, Sedentary Behaviour, and Screen Time Amongst Culturally and Linguistically Diverse Australian Children and Adolescents: A Scoping Review of Quantitative and Qualitative Studies.

Ana Maria Contardo Ayala, Kate Parker, Natalie Lander, Lauren Arundell, Niamh O'Loughlin, Nicola D Ridgers, Susan Paudel, Anthony Walsh, Jo Salmon

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Ana Maria Contardo AyalaInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0002-6192-0033
Kate ParkerSchool of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0002-8301-1391
Natalie LanderInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0002-0279-3724
Lauren ArundellInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0002-8178-4104
Niamh O'LoughlinSchool of Education, Deakin University, Geelong, Australia.
Nicola D RidgersInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0001-5713-3515
Susan PaudelInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0001-7536-9476
Anthony WalshInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0002-4901-429X
Jo SalmonInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Australia.ORCID https://orcid.org/0000-0002-4734-6354

Funding

Australian Research Council - Discovery Early Career Researcher Award DE220100847Australian Research Council - Discovery Early Career Researcher Award DE240100452National Health and Medical Research Council APP 2034498
6 · The paper itself

Abstract

objectivesThis scoping review synthesised evidence on the prevalence of, and factors influencing, physical activity (PA), sedentary behaviour (SB), and screen time (ST) among Culturally and Linguistically Diverse (CALD) children and adolescents in Australia.

methodsFive databases were searched in May 2025. Eligible studies examined prevalence and factors influencing PA, SB and ST among CALD youth. Quantitative data were summarised descriptively. Qualitative findings were synthesised thematically using the socio-ecological model.

resultsTwenty-six studies (11 quantitative, 15 qualitative) were included. Quantitative findings showed that CALD youth generally had lower PA and ST than their peers; some groups reported higher SB. There was diversity across cultures, with each group facing unique factors influencing movement behaviours. PA barriers included cultural and gender norms, academic priorities, safety concerns and limited facilities, while facilitators included PA enjoyment, peer/parental support, and school-based opportunities. For SB and ST, facilitators of more ST included enjoyment, stress relief, lack of alternatives, social connections and safety concerns, while barriers included parental awareness of harms and imposed restrictions.

conclusionsCALD youth face culturally specific barriers to increasing PA and reducing SB, with limited research on ST determinants.

Indexed as

Cultural DiversityExerciseScreen TimeSedentary BehaviorAdolescentAustraliaChildFemaleHumansMaleQualitative Researchadolescentchildcultural diversityphysical activitysedentary behaviour

Identifiers

PMID41039642
PMCPMC12491648

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.