Obesity, eating patterns, and physical activity of adolescents: a comparison of two rural communities in Newfoundland
Bibliographic record
Abstract
Adolescent and childhood obesity is on the rise globally. Newfoundland has one of the highest overweight and obesity rates in Canada. The social determinants of health, which are interrelated, influence this trend. These determinants were used as a conceptual framework in an attempt to understand how certain of the determinants influence overweight and obesity in adolescents in two rural communities with differing economic status. The aims of the study were to assess the prevalence of overweight and obesity; how physical activity and dietary intake differ in both communities; and how differences in practices, perceptions, barriers, and benefits related to physical activity differ in both communities. The sample consisted of a total of 107 grade 8 and 9 students ranging from 12-15 years of age who completed a self- administered questionnaire. Actual weight and height measurements were taken and recorded. Descriptive statistics, cross tabulations and logistic regression were used to analyze the data. While the communities varied on a number of characteristics there were few statistically significant differences. A high percentage of the adolescents were overweight (23%) and obese (37%) with males more likely to be obese and females were more likely to be overweight or of normal weight. Many of the students did not follow healthy eating patterns and frequently skipped breakfast, or did not engage in recommended levels of physical activity. In addition, a number of the adolescents had poor or unfounded attitudes towards physical activity. The findings have a number of important implications for community health nurses in areas of practice, education and research in addressing issues of overweight and obesity in adolescents.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".