Evidence map›Paper›PMID 40238925›Full record

ArticleChild: care, health and development2025

Clustering of 24-H Movement Behaviours and Its Associations With Eating Behaviours and Adiposity Among Mongolian Preschool Children: A Cross-Sectional Study.

Ankhmaa Byambaa, Rachel A Jones, Kar Hau Chong, Oyundelger Dechinjamts, Bayasgalan Jambaldorj, Anthony D Okely

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Article in Child: care, health and development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ankhmaa ByambaaSchool of Social Sciences, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia.ORCID https://orcid.org/0000-0003-2504-0239
Rachel A JonesSchool of Social Sciences, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia.ORCID https://orcid.org/0000-0002-5384-1941
Kar Hau ChongSchool of Social Sciences, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3893-4306
Oyundelger DechinjamtsNational Centre for Public Health, Ulaanbaatar, Mongolia.ORCID https://orcid.org/0009-0000-5880-6216
Bayasgalan JambaldorjNational Centre for Public Health, Ulaanbaatar, Mongolia.ORCID https://orcid.org/0009-0005-1211-9409
Anthony D OkelySchool of Social Sciences, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, New South Wales, Australia.ORCID https://orcid.org/0000-0002-1626-8170

Funding

Australia Awards MongoliaNational Health and Medical Research Council, Australia GNT1176858
6 · The paper itself

Abstract

backgroundObesity-related behaviours such as physical activity, sedentary behaviour, sleep, screen time and diet often cluster in children. There is limited evidence on the clustering of movement behaviours among young children from low- and middle-income countries. This paper reports how 24-h movement behaviours cluster in Mongolian preschool children and their associations with eating behaviours and adiposity.

methodsCross-sectional study involved 201 children aged 3-4 years attending kindergartens in urban and rural areas of Ulaanbaatar city, Tuv and Uvurkhangai provinces, Mongolia. Children wore accelerometers to measure physical activity, sedentary behaviour and sleep. Parents completed a questionnaire to report screen time and eating behaviours. To derive clusters, hierarchical and k-means cluster analyses were performed sequentially. Associations between clusters, eating behaviours and BMI z-score were analysed using ANOVA. Logistic regression was applied to estimate the odds of being overweight depending on cluster membership.

resultsThree clusters were identified: All-rounders, Non-active Sleepers and Screeners. We found that around half the children exhibited at least one unhealthy behaviour and were classified into clusters with a mix of healthy and unhealthy behaviours. The clusters did not differ by sociodemographic characteristics. No significant association was found between cluster membership and BMI z-score of children. The cluster at highest risk for being overweight was Screeners (odds ratio = 1.7, 95% CI: 0.67-4.33), who exhibited two obesogenic behaviours simultaneously, screen time for > 4 h per day and regular consumption of unhealthy snacks (53%, p = 0.033) and sugary drinks (53%, p = 0.014).

conclusionObesity prevention measures should begin in early childhood and target high-risk clusters, considering the co-occurrence of healthy and unhealthy behaviours. More research is needed in Mongolia to provide evidence for obesity prevention policies and inform targeted interventions to promote healthy behaviours from a young age.

Indexed as

AdiposityExerciseFeeding BehaviorPediatric ObesityAccelerometryBody Mass IndexChild, PreschoolCluster AnalysisCross-Sectional StudiesFemaleHealth BehaviorHumansMaleMongoliaScreen TimeSedentary Behaviorbehavioureatingobesityphysical activitysleep

Identifiers

PMID40238925
PMCPMC12002562

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