Undiagnosed prehypertension/hypertension in Canadian adolescents: The critical role of the public health nurse
Bibliographic record
Abstract
OBJECTIVE: To investigate the prevalence of undiagnosed prehypertension/hypertension and other associated comorbidities in adolescents living in rural and urban settings in a mid-Western Canadian province. DESIGN AND MEASURES: Data reported herein were derived from two cross-sectional studies, whereby adolescents attending either a rural (N = 143) or urban (N = 253) school were screened for blood pressure, anthropometric measures, and blood glucose measurements. Data analysis included descriptive and inferential statistics in addition to chi-square analyses. RESULTS: Notable prevalence of undiagnosed prehypertension/hypertension was found. Adolescents living in urban settings (49%, N = 123) were significantly more likely to have prehypertension/hypertension than rural (23%, N = 33) living adolescents. With regard to other comorbidities, the prevalence of elevated HbA1c in the urban group (32%) was significantly higher than the rural adolescents (19%); however, there was similar prevalence of overweight/obese adolescents between the urban (37%) and rural (36%) groups. CONCLUSIONS: The prevalence of adolescent undiagnosed prehypertension/hypertension, elevated blood glucose measurements, and overweight/obesity is concerning in both urban and rural settings. Public health nurses are uniquely positioned in health care to facilitate interventions focused on preventing and managing adolescent prehypertension/hypertension and its associated comorbidities.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 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) | 0.002 | 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".