Hypertension in youth with metabolic syndrome
Bibliographic record
Abstract
BACKGROUND: Hypertension continues to increase in its prevalence in children and adolescents globally. This evolving health issue has been associated with the concurrent world-wide rise in childhood obesity. SOURCES OF MATERIAL: In this review, we aim to improve the awareness of hypertension in youth with metabolic syndrome (MetS) highlighting key published data. This review examines the interplay between MetS and hypertension during childhood and adolescence, covering its epidemiology, pathophysiology, screening, diagnosis, and potential management strategies. ABSTRACT OF FINDINGS: Hypertension and obesity are integral features of MetS, which describes a clustering of metabolic risk factors hallmarked by insulin resistance that significantly increases the risk of cardiovascular disease in adulthood. Children at risk of developing hypertension and MetS share many modifiable and non-modifiable risk factors, which are derived from common pathophysiological mechanisms. Identifying at-risk individuals through targeted screening is crucial, given their long-term adverse cardiovascular outcomes in young adulthood. CONCLUSION: Management of hypertension and MetS requires a stepwise, multidisciplinary approach, central to which is the recognition that adoption of healthy lifestyle intervention over the lifespan is key to prevention, with consideration for pharmacotherapy and other medical interventions as indicated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".