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Transitions of 24-h movement behaviour profiles from schooldays to weekends and their associations with health-related quality of life and well-being in Czech adolescents

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15510%2F25%3A73631132" target="_blank" >RIV/61989592:15510/25:73631132 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15310/25:73631132 RIV/46747885:24510/25:00014466

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1111/cch.70121" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/cch.70121</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/cch.70121" target="_blank" >10.1111/cch.70121</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Transitions of 24-h movement behaviour profiles from schooldays to weekends and their associations with health-related quality of life and well-being in Czech adolescents

  • Original language description

    Background: Adolescents&apos; movement behaviours (MB) vary between schooldays and weekends, potentially impacting health-related quality of life (HRQoL) and well-being. This study aimed to identify transitions between 24-h MB profiles on schooldays and weekends and examine their associations with HRQoL and well-being.Methods: This is a cross-sectional study of 1070 Czech adolescents (average age: 13.8 years and standard deviation: 2.2 years; 56% girls). Participants wore accelerometers for 7 consecutive days to assess physical activity (PA) of different intensities, sedentary behaviour (SB) and sleep. A subsample of 451 participants provided data on HRQoL, which was measured using the Paediatric Quality of Life Inventory, and 484 provided valid well-being data measured with the 5-item World Health Organisation Well-Being Index. Latent transition analysis was used on the MB variables to identify transitions across MB profiles, and linear regression was used to examine associations between transitions and HRQoL or well-being.Results: Four MB profiles were identified: Excellent (high PA, low SB and high sleep duration), Good (average MB values), Fair (below-average PA and sleep, above-average SB) and Poor (low PA and sleep, high SB). Most adolescents transitioned to less favourable profiles on weekends. Those remaining in the Excellent profile had higher HRQoL than those transitioning to less favourable profiles. Transitions to the Poor profile were associated with the lowest HRQoL and well-being scores.Conclusion: This study underscores the dynamic nature of adolescents&apos; MB and the importance of consistent, healthy routines. Interventions optimizing 24-h MB throughout the week and especially on weekends may enhance adolescent HRQoL and well-being, but further evidence from longitudinal and intervention studies is needed.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30304 - Public and environmental health

Result continuities

  • Project

    <a href="/en/project/GA22-02392S" target="_blank" >GA22-02392S: Optimizing the 24-h movement behaviors for obesity prevention in the post-pandemic era</a><br>

  • Continuities

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

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    CHILD CARE HEALTH AND DEVELOPMENT

  • ISSN

    0305-1862

  • e-ISSN

    1365-2214

  • Volume of the periodical

    51

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    1-10

  • UT code for WoS article

    001518162300001

  • EID of the result in the Scopus database

    2-s2.0-105009369460