The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis

Despite the association between more time spent in MVPA and higher BMI z-scores, promoting a balanced amount of time in each 24-h movement behaviour-more MVPA, less sedentary time, and sufficient sleep-remains important for overall health. Future studies should address methodological challenges (e.g. recruitment bias that may exist in the parents/children willing to participate versus the general population, recall bias in parent reported sleep duration, or other confounding variables such as diet), use larger and more diverse samples, and consider longitudinal designs. Additionally, focusing on other adiposity indicators, such as waist-to-height ratio or fat percentage, could enhance understanding of these relationships.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2025-01-29
DOI
https://doi.org/10.1186/s12889-024-21217-x
Citations
1
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis

Ty Stanford, Marieke De Craemer, Penny Cross, Dorothea Dumuid et al.
1 citations
BMC Public Health
Obesity, Physical Activity, Diet
1.88
article

The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis

Ty Stanford, Marieke De Craemer, Penny Cross, Dorothea Dumuid, Marga Decraene, Greet Cardon, Anthony David Okely, Vera Verbestel, Kar Hau Chong
article en
1 citations

Abstract

Despite the association between more time spent in MVPA and higher BMI z-scores, promoting a balanced amount of time in each 24-h movement behaviour-more MVPA, less sedentary time, and sufficient sleep-remains important for overall health. Future studies should address methodological challenges (e.g. recruitment bias that may exist in the parents/children willing to participate versus the general population, recall bias in parent reported sleep duration, or other confounding variables such as diet), use larger and more diverse samples, and consider longitudinal designs. Additionally, focusing on other adiposity indicators, such as waist-to-height ratio or fat percentage, could enhance understanding of these relationships.

BMC Public HealthVol. 25(1)
University of South Australia (AU), University of Wollongong (AU), Ghent University Hospital (BE), Ghent University (BE), Maastricht University (NL), Illawarra Health and Medical Research Institute (AU)
University of Wollongong, Universiteit Gent, Bijzonder Onderzoeksfonds UGent
Quality Education
Openalex Percentile: Top 19%
Obesity, Physical Activity, Diet
1.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis — Ty Stanford, Marieke De Craemer, et al. · BMC Public Health (2025) | TGRS Research Map | TGRS