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Record W4401523871 · doi:10.2196/57509

Multidimensional School-Based and Family-Involved Interventions to Promote a Healthy and Sustainable Lifestyle (LIVELY) for Childhood Obesity Prevention: Study Protocol

2024· article· en· W4401523871 on OpenAlexvenueno aff
Sara Basilico, Maria Vittoria Conti, Ilaria Ardoino, Chiara Breda, Federica Loperfido, Elena Klaic, Linda Spialtini, Andreana Foresta, Francesca Orsini, Luisa Ojeda‐Fernández, Stefano Conca Bonizzoni, Elisabetta Modena, Yasamin Tootoonchi Hamedani, Federica Villa, Hellas Cena, Marta Baviera, Carlotta Franchi

Bibliographic record

VenueJMIR Research Protocols · 2024
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsChildhood obesityPsychological interventionProtocol (science)GerontologyMedicinePsychologyObesityAlternative medicineOverweightNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Childhood obesity has become a significant public health concern over the past 2 decades, posing multifactorial challenges, including modifiable factors like dietary habits, physical activity, screen time, and sleeping habits. Prevention efforts require a comprehensive approach comprising educational interventions, collaboration among multidisciplinary teams, and community engagement. Since schools play a central role in children's lives, they are the ideal setting for promoting healthy habits. OBJECTIVE: The LIVELY (Multidimensional School-Based and Family-Involved Interventions to Promote a Healthy and Sustainable Lifestyle) study will assess the prevalence of overweight and obesity in primary school children and identify contributing factors within families. Additionally, it aims to implement and evaluate a multidimensional, multidisciplinary intervention to foster a sustainable and healthy lifestyle, ultimately working toward preventing obesity in school-aged children. METHODS: During the school year, each class will be individually involved in a multidimensional educational intervention covering the topics of healthy, sustainable nutrition and lifestyle. Children will also participate in a multimedia lab where they will create an animated cartoon. The lectures will engage them through various methods, including direct instructions, games, and drawing activities, to stimulate and enhance their learning and involvement. RESULTS: Data collection began in October 2023 and will last until the end of October 2024. A sample of 227 children from 14 classes was included in the study. The mean age was 8.9 (SD 1.2) years, and 48% (n=110) were males. Among the overall sample, 18.1% (n=41; 95% CI 13.7%-23.7%) were overweight, while 5.3% (n=12; 95% CI 3%-9%) had obesity. Males had a higher prevalence of obesity than females (9.1%, n=10 vs 1.7%, n=3, P=.03, respectively). Otherwise, the prevalence of central obesity was similar between the two (P=.329). Data analysis and the presentation of the complete results will be available after the end of 2024. CONCLUSIONS: The study could lead to the structuring of an educational intervention model in school settings aimed at preventing childhood obesity. Moreover, it could help raise awareness of childhood obesity and help prevent this public health issue. TRIAL REGISTRATION: ClinicalTrials.gov NCT05966051; https://clinicaltrials.gov/study/NCT05966051. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57509.

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)0.014
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.057
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.010
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0030.003
Science and technology studies0.0060.002
Scholarly communication0.0030.002
Open science0.0050.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0570.009

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 head0.135
GPT teacher head0.525
Teacher spread0.390 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations10
Published2024
Admission routes1
Has abstractyes

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