Recruitment and characteristics of men with overweight/obesity from a trial of a gender-sensitized healthy lifestyle program
Bibliographic record
Abstract
Context: Engaging men in chronic disease prevention is critical as rates of obesity in men continue to increase, coupled with men being less likely to proactively seek preventative health care services. Objective: To report on the recruitment and baseline characteristics of a healthy lifestyle program using the power of sport (hockey) to engage men. Study Design and Analysis: Cluster randomized controlled trial where 42 sites were randomly assigned to either the intervention or wait-list control group. The intervention group received the Hockey Fans in Training (Hockey FIT) program (3-month active phase; 9-month minimally-supported phase) while the control group continued with usual activities for 12 months. Setting: Sites were located across 40 cities in Canada and the U.S., selected based on the availability/interest of both a local major junior/professional hockey team and an implementation partner. Population Studied: Men aged 35-65 years with a body mass index (BMI) ≥ 27 kg/m2 and who were fans of the local hockey team. Participants were recruited through the hockey team (i.e., social media, email blasts, website) and using other traditional recruitment methods. Intervention: Hockey FIT is a gender-sensitized, off-ice, healthy lifestyle program, designed to appeal to hockey fans through support from their local team and based on men’s preferences (e.g., group-based competition, humour, being with like-minded and -sized men). Outcome Measures: In-person assessments (weight, height, waist circumference, blood pressure, glycated hemoglobin, fitness) and online questionnaires (physical activity, sedentary time, healthy eating, health-related quality of life, and demographics) were completed at baseline, 3, and 12 months. Accelerometry-based step counters were also used to measure steps over 7 days at each time point. Results: 1,397 individuals were assessed for eligibility and 997 men were enrolled. Most participants heard about Hockey FIT through social media and team email blasts (41% and 29%, respectively). Participants averaged 48.6 years of age (± 8.3 SD), had mean BMI values of 35.3 kg/m2 (± 6.1), were predominately white, and had varying levels of education. Conclusions: By partnering with local hockey teams, we were able to engage men in a healthy lifestyle program. While participants were among the target audience intended for the study, targeted recruitment is needed to attract more diverse populations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".