Modifiable health risks in Atlantic Canadian employees: a 5-year report
Bibliographic record
Abstract
A number of modifiable health risks, such as smoking, inactivity and obesity have been linked to increased employer costs, including decreased productivity and increased absenteeism and health claims. The purpose of this paper is to report on the health profile and prevalence of modifiable health risks in an Atlantic Canadian Employee Database. Data were collected over a 5-year period (2001-2006) by the Atlantic Health and Wellness Institute, the research arm of Creative Wellness Solutions, in Halifax, Nova Scotia, Canada. Each employee of 51 workplaces (n = 6067; 2665 males, 3402 females; average age 41.3 years) completed a Health Risk Assessment questionnaire on smoking, nutrition and physical activity behaviours. Clinical data measurements were blood pressure, blood cholesterol, weight and height. Data were compared for private, public and health sectors. Sixteen percent had elevated blood pressure (≥ 140/90 mmHg), 20% smoked cigarettes, 70% were overweight [body mass index (BMI) ≥ 25 kg/m(2)], 31% were obese (BMI ≥ 30 kg/m(2)), 38% had elevated non-fasting cholesterol levels (≥ 5.20 mmol/l) and 49% were inactive (<20-30 min, three to five times per week). Moreover, 50% had two to four major modifiable health risks (i.e. daily tobacco smoking, physical inactivity, overweight and high blood pressure). Health care sector employees were healthier overall, but there was substantial room for improvement. The present analysis identified an alarming prevalence of modifiable health risks in Atlantic Canadian employees. Workplaces need to invest in workplace wellness to reduce the risks and promote better health among employees, thus increasing productivity and decreasing the financial burden on employers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".