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Record W3022627509 · doi:10.1136/bmjopen-2019-035241

Cow’s Milk Fat Obesity pRevention Trial (CoMFORT): a primary care embedded randomised controlled trial protocol to determine the effect of cow’s milk fat on child adiposity

2020· article· en· W3022627509 on OpenAlexafffundabout
Shelley Vanderhout, Mary Aglipay, Catherine S. Birken, Patricia Li, Deborah L. O’Connor, Kevin E. Thorpe, Evelyn Constantin, Marie-Adele Davis, Mark Feldman, Geoff D.C. Ball, Magdalena Janus, Peter Jüni, Anne Junker, Andreas Laupacis, Mary R. L’Abbé, Heather Manson, Myla E. Moretti, Nav Persaud, Jessica Omand, Clare Relton, Peter Wong, Hirotaka Yamashiro, Erika Tavares, Shannon Weir, Jonathon L. Maguire

Bibliographic record

VenueBMJ Open · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsMcMaster UniversityUniversity of AlbertaCentre for Family MedicineCanadian Paediatric SocietyMcGill UniversityInstitute for Clinical Evaluative SciencesUniversity of TorontoOntario Medical AssociationSickKids FoundationPublic Health OntarioUniversity of British ColumbiaHospital for Sick ChildrenSt. Michael's Hospital
FundersCanadian Institutes of Health ResearchDairy Farmers of Canada
KeywordsMedicineObesityWaistBody mass indexRandomized controlled trialChildhood obesityPhysical therapyInternal medicineOverweight

Abstract

fetched live from OpenAlex

INTRODUCTION: Cow's milk is a dietary staple for children in North America. Though clinical guidelines suggest children transition from whole (3.25% fat) milk to reduced (1% or 2%) fat milk at age 2 years, recent epidemiological evidence supports a link between whole milk consumption and lower adiposity in children. The purpose of this trial is to determine which milk fat recommendation minimises excess adiposity and optimises child nutrition and growth. METHODS AND ANALYSIS: Cow's Milk Fat Obesity pRevention Trial will be a pragmatic, superiority, parallel group randomised controlled trial involving children receiving routine healthcare aged 2 to 4-5 years who are participating in the TARGet Kids! practice-based research network in Toronto, Canada. Children (n=534) will be randomised to receive one of two interventions: (1) a recommendation to consume whole milk or (2) a recommendation to consume reduced (1%) fat milk. The primary outcome is adiposity measured by body mass index z-score and waist circumference z-score; secondary outcomes will be cognitive development (using the Ages and Stages Questionnaire), vitamin D stores, cardiometabolic health (glucose, high-sensitivity C-reactive protein, non-high density lipoprotein (non-HDL), low density lipoprotein (LDL), triglyceride, HDL and total cholesterol, insulin and diastolic and systolic blood pressure), sugary beverage and total energy intake (measured by 24 hours dietary recall) and cost effectiveness. Outcomes will be measured 24 months postrandomisation and compared using analysis of covariance (ANCOVA), adjusting for baseline measures. ETHICS AND DISSEMINATION: Ethics approval has been obtained from Unity Health Toronto and The Hospital for Sick Children. Results will be presented locally, nationally and internationally and published in a peer-reviewed journal. The findings may be helpful to nutrition guidelines for children in effort to reduce childhood obesity using a simple, inexpensive and scalable cow's milk fat intervention. TRIAL REGISTRATION NUMBER: NCT03914807; pre-results.

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)0.018
metaresearch head score (Gemma)0.016
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 score0.076
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.016
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0120.004
Bibliometrics0.0020.002
Science and technology studies0.0030.004
Scholarly communication0.0030.004
Open science0.0030.002
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0760.011

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 head0.023
GPT teacher head0.321
Teacher spread0.298 · 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

Citations7
Published2020
Admission routes3
Has abstractyes

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