MétaCan
Menu
Back to cohort
Record W4412779572 · doi:10.4236/ape.2025.153023

24-Hour Movement Behaviors of Grade 9 Costa Rican Students: A Pilot Study

2025· article· en· W4412779572 on OpenAlexaff
Elisa B. Sosa Nicora, Viviene A. Temple

Bibliographic record

VenueAdvances in Physical Education · 2025
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPuerto ricanMovement (music)MedicinePsychologyPhysical medicine and rehabilitationSociologyArt

Abstract

fetched live from OpenAlex

Meeting individual 24-hour movement behavior guidelines of physical activity, sedentary behavior, and sleep is independently and collectively associated with positive physical, psychosocial, and mental health outcomes. The aim of this pilot study was to examine the feasibility of the study and to provide preliminary evidence of the 24-hour movement behaviors of Grade 9 Costa Rican students. Cross-sectional data were collected using the physical activity sub-section of the Global School-Based Student Health Survey with n = 118 students (male = 51) in the Guápiles region of Costa Rica. The proportion of students meeting individual guidelines was: MVPA = 11.0%, strength exercises = 40.7%, sedentary time = 32.2%, and sleep = 39.8%. There were no gender-based differences based on chi-squared analyses of the proportion of males and females meeting each health guideline. One student met all four guidelines examined, and 37 students (31.4% of the sample) did not meet any of the guidelines. Our findings demonstrated that many Grade 9 students in the Guápiles region were not meeting individual 24-hour movement behaviors or combinations of those movement guidelines. These findings demonstrate a need to concurrently examine the 24-hour movement behaviors of Costa Rican youth. Additionally, assessing health and academic outcomes associated with meeting individual and integrated 24-hour movement behavior guidelines is needed.

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)0.000
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 score0.333
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.392
Teacher spread0.377 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Physical EducationSame topicChildren's Physical and Motor DevelopmentFrench-language works237,207