MétaCan
Menu
Back to cohort
Record W4291009009 · doi:10.3390/app12168056

Meeting 24 h Movement Guidelines and Health-Related Quality of Life in Youths during the COVID-19 Lockdown

2022· article· en· W4291009009 on OpenAlexaff
José Francisco López‐Gil, Mark S. Tremblay, Miguel Ángel Tapia‐Serrano, Pedro Juan Tárraga López, Javier Brazo‐Sayavera

Bibliographic record

VenueApplied Sciences · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsAgricultural Research Institute of Ontario
Fundersnot available
KeywordsScreen timeMedicineQuality of life (healthcare)SadnessPandemicCoronavirus disease 2019 (COVID-19)PsychologyPhysical activityGerontologyClinical psychologyPhysical therapyAnger

Abstract

fetched live from OpenAlex

Limitations in the use of public spaces have impacted the frequency and duration of movement behaviours (physical activity, sedentary behaviour, sleep) and outdoor activities of children and adolescents. Whether pandemic-induced changes in movement behaviours are related to the health-related quality of life (HRQoL) of children and adolescents is unknown. The aim of the current study was to examine the association between meeting 24 h movement guidelines and HRQoL during the COVID-19 lockdown among children and adolescents. Data from 1099 3–17-year-old children and adolescents from Spain and Brazil were analysed. An online questionnaire was used to collect parent-reported information concerning physical activity, screen time, and sleep duration. For the assessment of HRQoL, the EQ-5D-Y proxy version was used. The highest prevalence of reported problems was related to the ‘worries/sadness/unhappiness’ factor, where 36.3% of participants declared to have at least ‘some problems’. Participants meeting the 24 h guidelines had a higher HRQoL score compared with those who did not (91.9 ± 2.5 vs. 84.3 ± 0.5, respectively; p < 0.05). The current study shows that children and adolescents that met 24 h movement guidelines presented a higher HRQoL during the COVID-19 lockdown, providing support for the promotion of healthy movement behaviours—especially during a pandemic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.268
GPT teacher head0.470
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueApplied SciencesSame topicCOVID-19 and Mental HealthFrench-language works237,207