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Record W2157895045 · doi:10.1186/1471-2431-14-161

The CANadian Pediatric Weight Management Registry (CANPWR): Study protocol

2014· article· en· W2157895045 on OpenAlexafffundabout
Katherine M. Morrison, Samah Damanhoury, Annick Buchholz, Jean‐Pierre Chanoine, Marie Lambert, Mark S. Tremblay, Glenn Berall, Jill Hamilton, A.-M. Laberge, Laurent Legault, Lehana Thabane, Monica Jakymyshyn, Kathryn A. Ambler, Geoff D.C. Ball

Bibliographic record

VenueBMC Pediatrics · 2014
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsNorth York General HospitalMontreal Children's HospitalUniversity of TorontoMcGill UniversityUniversity of OttawaBC Children's HospitalPopulation Health Research InstituteChildren's Hospital of Eastern OntarioUniversity of British ColumbiaStollery Children's HospitalCentre Hospitalier Universitaire Sainte-JustineMcMaster Children's HospitalSickKids FoundationAlberta Health ServicesMcMaster UniversityHospital for Sick ChildrenUniversité de MontréalUniversity of Alberta
FundersCanadian Institutes of Health ResearchUmm Al-Qura UniversitySaudi Arabian Cultural Bureau
KeywordsMedicineWeight managementBody mass indexAnthropometryPsychological interventionObesityContext (archaeology)Childhood obesityPediatricsOverweightCohortFamily medicineGerontology

Abstract

fetched live from OpenAlex

BACKGROUND: Over recent decades, the prevalence of pediatric obesity has increased markedly in developed and developing countries, and the impact of obesity on health throughout the lifespan has led to urgent calls for action. Family-based weight management interventions that emphasize healthy lifestyle changes can lead to modest improvements in weight status of children with obesity. However, these interventions are generally short in duration, reported in the context of randomized controlled trials and there are few reports of outcomes of these treatment approaches in the clinical setting. Answering these questions is critical for improving the care of children with obesity accessing outpatient health services for weight management. In response, the CANadian Pediatric Weight management Registry (CANPWR) was designed with the following three primary aims: 1. Document changes in anthropometric, lifestyle, behavioural, and obesity-related co-morbidities in children enrolled in Canadian pediatric weight management programs over a three-year period; 2. Characterize the individual-, family-, and program-level determinants of change in anthropometric and obesity-related co-morbidities; 3. Examine the individual-, family-, and program-level determinants of program attrition. METHODS/DESIGN: This prospective cohort, multi-centre study will include children (2-17 years old; body mass index ≥85(th) percentile) enrolled in one of eight Canadian pediatric weight management centres. We will recruit 1,600 study participants over a three-year period. Data collection will occur at presentation and 6-, 12-, 24-, and 36-months follow-up. The primary study outcomes are BMI z-score and change in BMI z-score over time. Secondary outcomes include anthropometric (e.g., height, waist circumference,), cardiometabolic (e.g., blood pressure, lipid profile, glycemia), lifestyle (e.g., dietary intake, physical activity, sedentary activity), and psychosocial (e.g., health-related quality of life) variables. Potential determinants of change and program attrition will include individual-, family-, and program-level variables. DISCUSSION: This study will enable our interdisciplinary team of clinicians, researchers, and trainees to address foundational issues regarding the management of pediatric obesity in Canada. It will also serve as a harmonized, evidence-based registry and platform for conducting future intervention research, which will ultimately enhance the weight management care provided to children with obesity and their families.

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)0.001
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 score0.317
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.016
GPT teacher head0.283
Teacher spread0.267 · 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

Citations30
Published2014
Admission routes3
Has abstractyes

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