<i>Prevalence of Childhood Obesity</i> In Northeastern Ontario: A Cross-sectional Study
Bibliographic record
Abstract
PURPOSE: In Canada, the incidence of childhood obesity has tripled within the past 20 years. The prevalence of obesity in the Timmins, Ontario, student population was studied to gain knowledge for program planning and resource allocation, and to compare Centers for Disease Control and Prevention (CDC) criteria with Cole's international criteria for childhood obesity. METHODS: Anthropometric measurements of 801 students were taken. Students were chosen from randomly selected schools for each grade. Data were analyzed according to age, gender, and ethnicity. Data were also compared with other studies. Intragroup comparisons were performed using hypothesis testing for significance with the z table and chi-square test. RESULTS: Overweight and obesity prevalence was 28% according to CDC criteria. No statistical difference was found between genders or among ethnic groups, or between this study and other Canadian studies. In comparison with the CDC criteria, Cole's international criteria indicated less obesity and increased overweight prevalence. These differences were not statistically significant. CONCLUSIONS: The findings suggest that in the northern Ontario community of Timmins, the prevalence of childhood obesity is of epidemic proportions. When the findings are shared with different agencies, this study will help the health unit to take necessary public health measures to curb the epidemic.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".