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Record W7045890538

Blood Pressure Responses to Physical and Mental Challenges in Adolescent Males and Females

2012· dissertation· en· W7045890538 on OpenAlexfundno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersHeart And Stroke Foundation Of QuebecCanadian Institutes of Health ResearchHospital for Sick ChildrenMcGill UniversityHeart and Stroke Foundation of Canada
KeywordsBlood pressureStressorObesityReactivity (psychology)Visceral fatCYP17A1Genetic predispositionDisease
DOInot available

Abstract

fetched live from OpenAlex

Enhanced blood pressure (BP) reactivity from stressors predicts hypertension, a disease more common in men than women throughout their reproductive age. Visceral obesity and genetic predisposition are major risk factors for hypertension. Here, we investigated whether visceral fat (VF) and one of the best-established loci of hypertension, CYP17A1, contribute to the sex difference in BP reactivity. In a community-based sample of 596 adolescents, we measured beat-by-beat BP during posture and math-stress tests, quantified visceral fat with magnetic resonance imaging, and genotyped all subjects at CYP17A1. Adolescent males versus females demonstrated greater BP reactivity to physical and mental stressors. In males but not females, VF was associated with higher BP reactivity to active standing and a specific variant of CYP17A1 was associated with higher BP reactivity to math stress. VF and CYP17A1 contribute to the observed sex-differences in BP reactivity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.030
GPT teacher head0.288
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

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