Evidence map›Paper›PMID 40576241›Full record

ArticleChild: care, health and development2025

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.

David Janda, Jan Dygrýn, František Chmelík, Lukáš Rubín, Tereza Juřicová, Michal Vorlíček, Ondřej Vencálek, Aleš Gába

Abstract read
In one paragraph

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

David JandaFaculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic.ORCID https://orcid.org/0000-0002-8431-4351
Jan DygrýnFaculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic.ORCID https://orcid.org/0000-0003-1026-1784
František ChmelíkFaculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic.ORCID https://orcid.org/0000-0002-5758-3783
Lukáš RubínFaculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic.ORCID https://orcid.org/0000-0003-4920-1113
Tereza JuřicováFaculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic.ORCID https://orcid.org/0009-0009-1921-1338
Michal VorlíčekFaculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic.ORCID https://orcid.org/0000-0002-8317-9266
Ondřej VencálekFaculty of Science, Palacký University Olomouc, Olomouc, Czech Republic.ORCID https://orcid.org/0000-0002-8340-1429
Aleš GábaFaculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic.ORCID https://orcid.org/0000-0002-7236-9072

Funding

Czech Science Foundation 22-02392SMinistry of Education, Youth and Sports CZ.02.01.01/00/22_008/0004583Palacký University Olomouc IGA_FTK_2024_008Palacký University Olomouc JG_2023_007
6 · The paper itself

Abstract

backgroundAdolescents' 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.

methodsThis 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.

resultsFour 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.

conclusionThis study underscores the dynamic nature of adolescents' 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. SUMMARY: We observed a contrast in 24-h MB between schooldays and weekends: 29.7% of adolescents were in the Excellent on schooldays, but only 5.8% did so on weekends, while the prevalence of the Poor profile rose from 1.6% on schooldays to 27.7% on weekends. Adolescents who maintained the Excellent profile across the whole week recorded the highest scores for HRQoL and well-being. Moving into the Poor profile on weekend was associated with about 9 points poorer HRQoL and 14 points lower well-being, compared with peers who remained in the Excellent profile. Behaviour change strategies should target the entire week to preserve PA, reduce SB and protect sleep.

Indexed as

Adolescent BehaviorExerciseQuality of LifeAccelerometryAdolescentCross-Sectional StudiesCzech RepublicFemaleHumansMaleSedentary BehaviorSleepTime Factorsaccelerometrylatent class analysisphysical activitysedentary behavioursleep

Identifiers

PMID40576241
PMCPMC12203759

What Socratic 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 Socratic graph.