MétaCan
Menu
Back to cohort
Record W2074007716 · doi:10.1080/08964289.2010.543194

Effects of School-based Interventions Targeting Obesity-Related Behaviors and Body Weight Change: A Systematic Umbrella Review

2011· review· en· W2074007716 on OpenAlexfundno aff
Magdalena Safron, Aleksandra Cisłak, Tânia Gaspar, Aleksandra Łuszczyńska

Bibliographic record

VenueBehavioral Medicine · 2011
Typereview
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
FundersUniversity of Lethbridge
KeywordsPsychological interventionObesityMeta-analysisMedicineSystematic reviewPopulationWeight lossBehavior changePhysical therapyClinical psychologyGerontologyMEDLINEEnvironmental healthPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

This umbrella review analyzed the effectiveness of school-based interventions, applying body weight or behavioral outcomes. Twelve systematic reviews and five meta-analyses (examining 196 trials) were included. Results indicated that the effectiveness was usually referred to body weight or BMI change, with 1/3 of trials (per review) indicating significant changes in BMI or obesity prevalence. Meta-analyses yielded mixed effects (three showed significant changes in weight, BMI, or obesity). Interventions were more effective if they aimed at a reduction of sedentary behaviors, incorporated moderate-to-vigorous physical activity, and parental involvement. The inclusion of a nutrition component moderated the long-term effects of interventions. More efficient interventions lasted at least 3 months, did not aim solely at environmental changes, and were implemented in general population. Female and younger participants may benefit more from the interventions. The role of psychological theories and behavioral or cognitive mediators was rarely investigated.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.029
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.009
Bibliometrics0.0100.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.112
GPT teacher head0.403
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations79
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueBehavioral MedicineSame topicObesity, Physical Activity, DietFrench-language works237,207