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Record W4321367207 · doi:10.1186/s12889-023-15210-z

A school-family blended multi-component physical activity program for Fundamental Motor Skills Promotion Program for Obese Children (FMSPPOC): protocol for a cluster randomized controlled trial

2023· article· en· W4321367207 on OpenAlexaff
Lin Zhou, Wei Liang, Yuxiu He, Yanping Duan, Ryan E. Rhodes, Sonia Lippke, Julien S. Baker, Liang Yu, Lin Han, Wan Xin Liu, Qi Liu

Bibliographic record

VenueBMC Public Health · 2023
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of Victoria
FundersNational Office for Philosophy and Social Sciences
KeywordsCluster randomised controlled trialMedicineBiostatisticsRandomized controlled trialHealth promotionPhysical therapyPromotion (chess)Intervention (counseling)Cluster (spacecraft)Session (web analytics)Public healthNursingComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Fundamental motor skills (FMSs) are crucial for children's health and comprehensive development. Obese children often encounter a considerable challenge in the development of FMSs. School-family blended PA programs are considered a potentially effective approach to improve FMSs and health-related outcomes among obese children, however, empirical evidence is still limited. Therefore, this paper aims to describe the development, implementation, and evaluation of a 24-week school-family blended multi-component PA intervention program for promoting FMSs and health among Chinese obese children, namely the Fundamental Motor Skills Promotion Program for Obese Children (FMSPPOC) employing behavioral change techniques (BCTs) and building on the Multi-Process Action Control (M-PAC) framework as well as using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework for improving and evaluating the program. METHODS: Using a cluster randomized controlled trial (CRCT), 168 Chinese obese children (8-12 years) from 24 classes of six primary schools will be recruited and randomly assigned to one of two groups by a cluster randomization, including a 24-week FMSPPOC intervention group and a non-treatment waiting-list control group. The FMSPPOC program includes a 12-week initiation phase and a 12-week maintenance phase. School-based PA training sessions (2 sessions/week, 90 min each session) and family-based PA assignments (at least three times per week, 30 min each time) will be implemented in the initiation phase (semester time), while three 60-min offline workshops and three 60-min online webinars will be conducted in the maintenance phase (summer holiday). The implementation evaluation will be undertaken according to the RE-AIM framework. For intervention effectiveness evaluation, primary outcome (FMSs: gross motor skills, manual dexterity and balance) and secondary outcomes (health behaviors, physical fitness, perceived motor competence, perceived well-being, M-PAC components, anthropometric and body composition measures) will be collected at four time-points: at baseline, 12-week mid-intervention, 24-week post-intervention, and 6-month follow-up occasions. DISCUSSION: The FMSPPOC program will provide new insights into the design, implementation, and evaluation of FMSs promotion among obese children. The research findings will also supplement empirical evidence, understanding of potential mechanisms, and practical experience for future research, health services, and policymaking. TRIAL REGISTRATION: Chinese Clinical Trial Registry; ChiCTR2200066143; 25 Nov 2022.

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)0.025
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.062
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.018
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0130.005
Bibliometrics0.0030.003
Science and technology studies0.0040.004
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0620.008

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 head0.063
GPT teacher head0.414
Teacher spread0.352 · 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 designRandomized trial
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

Citations18
Published2023
Admission routes1
Has abstractyes

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