Movement behaviour typologies and their associations with adiposity indicators in children and adolescents: A latent profile analysis of 24-h compositional data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F24%3A73625202" target="_blank" >RIV/61989592:15310/24:73625202 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15510/24:73625202

Result on the web

<a href="https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-19075-8" target="_blank" >https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-19075-8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s12889-024-19075-8" target="_blank" >10.1186/s12889-024-19075-8</a>

Result language

angličtina

Original language name

Movement behaviour typologies and their associations with adiposity indicators in children and adolescents: A latent profile analysis of 24-h compositional data

Original language description

Objectives: Growing evidence supports the important role of 24-hour movement behaviours (MB) in preventing childhood obesity. However, research to understand the heterogeneity and variability of MB among individuals and what kind of typologies of individuals are at risk of developing obesity is lacking. To bridge this gap, this study identified typologies of 24-hour MB in children and adolescents and investigated their associations with adiposity indicators.Methods: In this cross-sectional study, 374 children and 317 adolescents from the Czech Republic wore wrist-worn accelerometers for seven consecutive days. Time spent in moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), sedentary behaviour (SB), and sleep was quantified using raw accelerometery data. Adiposity indicators included body mass index (BMI) z-score, fat mass percentage (FM%), fat mass index (FMI), and visceral adipose tissue (VAT). Bias-adjusted latent profile analysis was used on the 24-hour MB data to identify MB typologies and their associations with adiposity indicators. The models were adjusted for potential confounders. The identified typologies were labelled to reflect the behavioural profiles of bees to aid interpretability for the general public.Results: Two typologies were identified in children: highly active Workers characterised by high levels of MVPA and LPA, and inactive Queens characterised by low levels of MVPA and LPA, high levels of SB and longer sleep duration compared to Workers. In adolescents, an additional typology labelled as Drones was characterised by median levels of MVPA, LPA, SB and longest sleep duration. After controlling for covariates, we found that children labelled as Queens were associated with 1.38 times higher FM%, 1.43 times higher FMI, and 1.67 times higher VAT than Workers. In adolescents, Drones had 1.14 times higher FM% and Queens had 1.36 higher VAT in comparison with Workers, respectively.Conclusion: Our study highlights the importance of promoting active lifestyles in children and adolescents to potentially reduce adiposity. These findings can provide insights for interventions aimed at promoting healthy MB and preventing childhood obesity.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30304 - Public and environmental health

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

BMC PUBLIC HEALTH

ISSN

1471-2458

e-ISSN

1471-2458

Volume of the periodical

24

Issue of the periodical within the volume

June

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

1-11

UT code for WoS article

001262529600002

EID of the result in the Scopus database

2-s2.0-85195629223