Lifestyle factors and other health measures in a Canadian university community
Bibliographic record
Abstract
With the increasing prevalence of obesity, there is a continuous search for effective obesity-prevention and health-promotion interventions. These interventions should be based on factors that have the potential to influence body weight and health. This study describes various health-related factors in a Canadian university community with the aim of developing more specific obesity interventions. A total of 3143 individuals completed an online questionnaire made up of 3 sections--on physical activity (PA), food habits, and other relevant lifestyle factors. The sampling error was +/-3.3% with a 95% confidence interval. Results showed that 22.9% of students and 37.3% of staff members were either overweight or obese. Students had less desirable eating patterns than staff members in terms of fish, energy drink, and regular milk product intake, and both groups reported undesirable breakfast consumption and quality. Nevertheless, results also showed that a high percentage of individuals in both groups did not meet the recommendations for vegetable, fruit, and fish intake, or PA. Only a few gender differences were observed in eating habits. Soft drink and energy drink consumption was higher and breakfast consumption was lower in men, whereas a higher percentage of women did not meet the recommendations for vegetable, fruit, or fish consumption. Dieting behaviours, disinhibition susceptibility, and moderate-intensity (MIPA) were the 3 lifestyle factors most highly associated with overweight and obesity in both groups. Results also suggest that female students were highly preoccupied with their body weight. This study shows that overweight and obesity are problems in a university community, and that they are associated with many health-related lifestyle behaviours. Although most of the lifestyle factors and health measures examined are similar across groups and genders, some differences call for the development of health-promotion programs with specific targeting strategies.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".