Prevalence of cardiovascular risk factors in grade nine students.
Bibliographic record
Abstract
BACKGROUND: The Niagara Schools' Healthy Heart Program (NSHHP) is a health education and intervention program offered to students enrolled in a grade nine physical education course. The program involves completion of a family history and a self-report lifestyle survey, measurements of height, weight, blood pressure, and random total cholesterol levels, a heart education class, and CPR training. PURPOSE: The purpose of this study was to report the prevalence of cardiovascular risk for adolescents enrolled in the program. METHODS: A secondary analysis was conducted using data collected by the NSHHP staff to determine the prevalence of cardiovascular risk factors in grade nine students for the school year 2006. Specific risk factors studied were smoking, body mass index, total cholesterol level and blood pressure. RESULTS: A total of 3,639 students from 30 schools participated. Almost 14% of students had at least one cardiovascular risk factor. Body mass index was found to be the highest risk factor (13.7%) and total random cholesterol level (5%) was found to be the lowest risk factor in this sample. There were differences in prevalence rates between male and female students for all risk factors except elevated blood pressure. Five per cent of the students were referred to a family physician for follow-up, mostly for high cholesterol readings. CONCLUSIONS: The findings suggest that adolescents do have cardiovascular risk factors and prevention could be targeted to this population. These risk factors were already established by the time the students reached adolescence. The findings support conducting early prevention with younger children and 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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".