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Record W3213582923

Compliance with 24-hour movement recommendations and health in university students during COVID-19 confinement

2021· article· ca· W3213582923 on OpenAlexaboutno aff
Sandra Fonseca, Eduarda Coelho, Isabel Mourão

Bibliographic record

VenueVitae (Universidad de Antioquia) · 2021
Typearticle
Languageca
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsLogistic regressionCoronavirus disease 2019 (COVID-19)MedicinePsychologyPhysical activityScreen timeMental healthGerontologyPhysical therapyPsychiatryDisease
DOInot available

Abstract

fetched live from OpenAlex

Objectives: i) examine the proportion of university students who meet Canadian 24- hour movement guidelines (Sleep + Screen + Physical Activity) during COVID-19 lockdown;ii) determine the physical and mental health risks associated with non-adherence with Canadian 24-hour movement guidelines. Method: a convenience sample of 98 university students (64 boys and 34 girls), aged 18-25 years, attending the Sports Science degree at University of Tras-os-Montes e Alto Douro, Portugal, were include. Self-reported physical activity was measured with the International Physical Activity Questionnaire (IPAQ), screen time was assessed with two questions reporting the total of hours and minutes, per weekday or weekend, the students spend watching videos and playing video games, as well as the duration and quality of sleep during the weekdays or on weekends. Results: only 30.6% of the students meet the guidelines for sleep plus physical activity and sedentary behavior. Multivariate logistic regression shows that the variables associated with non-compliance with any of the recommendations are: father's professional status, unemployed or lay-off (OR=10.412, 95% CI: 1.256-86.325), poor and average health perception (OR=24.213, 95%CI: 1.323-443.074) and the quality of sleep, who never and sometimes sleeps well (OR=8.896, 95%CI: 1.807-43.788). Conclusion: students who did not meet with the guidelines were at higher risk of having disturbed sleep and lower self-perception of health.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.103
GPT teacher head0.423
Teacher spread0.319 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueVitae (Universidad de Antioquia)Same topicCOVID-19 and Mental HealthFrench-language works237,207