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Record W3011323676 · doi:10.1080/1612197x.2020.1735257

Tackling childhood obesity through a school-based physical activity programme: a cluster randomised trial

2020· article· en· W3011323676 on OpenAlexafffund
Tania Santina, Dominique Beaulieu, Camille Gagné, Laurence Guillaumie

Bibliographic record

VenueInternational Journal of Sport and Exercise Psychology · 2020
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité du Québec à RimouskiUniversité Laval
FundersUniversité Laval
KeywordsWaistPsychosocialChildhood obesityBody mass indexPhysical therapyObesityIntervention (counseling)CircumferenceMedicinePhysical activityRandomized controlled trialCluster (spacecraft)PsychologyOverweightNursingInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

The present study aimed to evaluate the efficacy of a theory- and evidence-based intervention for promoting physical activity (PA) among children by changing PA-related psychosocial variables and reducing obesity and screen time outside school hours. A cluster randomised trial was conducted on two Lebanese elementary schools involving 374 children aged 10–12 years. While a control group received the standard curriculum, an intervention group received a 14-week school-based intervention comprising changes in the school environment, increased opportunities for PA provided by educational staff and PA-related learning activities. Measures included PA, psychosocial and obesity-related variables [body mass index (BMI), waist circumference and screen time outside school hours]. Measures were evaluated before the first week and in the last week of the intervention. Compared with the control group, significant increases were observed in the general PA levels and proportion of physically active children within 1 week. The proportion of children engaged in ≥30-min daily school-based moderate-to-vigorous PA MVPA increased from 0% to 67%. The intervention group showed significant improvement in almost all psychosocial variables. The children’s BMI class and waist circumference significantly reduced with the intervention. The intervention was effective in increasing the children’s general PA levels and school-based MVPA and in decreasing BMI and waist circumference.

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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.754

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.334
Teacher spread0.310 · 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 designRandomized trial
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

Citations21
Published2020
Admission routes2
Has abstractyes

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