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Record W4404136237 · doi:10.1016/j.eclinm.2024.102911

The hockey fans in training intervention for men with overweight or obesity: a pragmatic cluster randomised trial

2024· article· en· W4404136237 on OpenAlexafffundabout
Robert J. Petrella, Dawn P. Gill, Nárlon Cássio Boa Sorte Silva, Brendan Riggin, Wendy Blunt, Marisa Kfrerer, Melissa Majoni, Jacquelyn Marsh, Jennifer D. Irwin, Saverio Stranges, Merrick Zwarenstein, Guangyong Zou

Bibliographic record

VenueEClinicalMedicine · 2024
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsConcordia UniversityUniversity of British ColumbiaCentre for Family MedicineWestern University
FundersObesity CanadaMovember FoundationPublic Health AgencyPublic Health Agency of CanadaCanadian Institutes of Health ResearchAstraZeneca CanadaMovember CanadaAstraZeneca
KeywordsMedicineOverweightPhysical therapyIntervention (counseling)Cluster randomised controlled trialCluster (spacecraft)ObesityInternal medicineNursing

Abstract

fetched live from OpenAlex

Background: Obesity disproportionately impacts men's health yet fewer men engage in preventive healthcare. We examined the effectiveness of Hockey Fans in Training (Hockey FIT), a gender-sensitised lifestyle intervention that engages men with overweight/obesity through their passion as fans of a local sports team, on weight change and other health indicators. Methods: ) within 42 community-based sites in Canada and the United States, randomly assigned (1:1) to intervention (Hockey FIT) or control (wait-list) and stratified by region. Sites were selected based on partnerships with local major junior/professional hockey teams and community implementation partners. Intervention participants received exercise and education during a three-month active phase (once-weekly, 90-min sessions) followed by a nine-month minimally-supported phase; control participants continued with usual activities. Primary outcome was weight change at 12 months. Assessment teams were blinded to group assignment including photos of weight measurements on digital scales, to provide proof of values recorded (post COVID-19). Analyses followed intent-to-treat. Trial registration: ClinicalTrials.gov, NCT03636282. Findings: Between November 13, 2018-November 12, 2021, 20 sites (n = 497) were allocated to intervention and 22 sites (n = 500) to control. Participants with baseline weight and weight at 3 or 12 months, were included in the primary analysis (20 intervention sites [n = 354]; 22 control sites [n = 425]). At 12 months, mean weight change was -2.02 kg (95% confidence interval [CI], -2.78 to -1.26) with intervention and -0.92 kg (CI, -1.58 to -0.26) with control (difference, -1.10 kg [CI, -2.11 to -0.09], p = 0.03). There were 22 non-study related serious adverse events (45.5% in intervention; 54.5% in control). Interpretation: Hockey FIT reduced weight in men with overweight or obesity. Hockey FIT is an innovative approach to engage men at increased risk of non-communicable disease in effective health behaviour change, through their passion as fans of their local hockey team. Funding: Public Health Agency of Canada; Canadian Institutes of Health Research.

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)0.005
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.032
GPT teacher head0.337
Teacher spread0.305 · 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
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

Citations8
Published2024
Admission routes3
Has abstractyes

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