Knowledge and Synthesis Gaps in Men’s Health: Type 2 Diabetes and Depression in Northern British Columbia, Canada
Bibliographic record
Abstract
The workplace is notable as an optimal setting for health promotion programs. The workplace offers a natural convenient environment to support the promotion of health and wellness of workers in organizations. Adult men (18 years of age or over) in natural resource industries who work full-time spend more of their waking hours at work, away from their families due to shift work, hectic hours, and busy lifestyles. The workplace setting can therefore be harnessed to offer workers frequent and sustained exposure to effective interventions during prime hours. The purpose of this Scopus review paper is to assess the magnitude of type 2 diabetes (T2D) and depression among working men in resource-based occupations (trucking; logging; mining; oil and gas; and forestry). The paper proposes a settings-based workplace health promotion (WHP) framework to be adapted from a community-based perspective. We argue the proposed framework can be applied to effect individual worker’s lifestyle behaviours, and from a socio-ecological perspective to influence organizational change and health policy. We propose WHP programs for men recognizing that gender has an important role in influencing one's lifestyle and overall health. From a socio-ecological perspective, the environment also plays a pivotal role in affecting lifestyle choices by supporting or hindering behaviours that occur in 'settings' such as family, school, workplace, or community environments. While arguing for WHP interventions, the paper recognizes the importance of upstream policy initiatives that should enhance and cultivate such interventions at organizational and community levels.
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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 | 0.011 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.020 | 0.031 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".