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Record W7036479370

Beta blockade and thermoregulation during exercise in post menopausal women

2007· other· en· W7036479370 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2007
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsnot available
Fundersnot available
KeywordsThermoregulationBlockadeBlood pressureBETA (programming language)AnginaPhysical exerciseVasomotorPost menopausal
DOInot available

Abstract

fetched live from OpenAlex

Beta blockers have been available for approximately 30 years, and are used for the treatment of angina pectoris, dysrhythmias, and most commonly, hypertension (Kostis & DeFelice, 1984). Ten to 15% of Canadians have controlled or uncontrolled high blood pressure, including 25% of persons 65 and over. Approximately 60% of physician/patient contacts for high blood pressure involve women. Regular exercise has been suggested as a favourable lifestyle change for those with hypertension and can also improve thermoregulation during acute exercise in the heat. While other drugs are now available for the treatment of hypertension (as angiotensin converting enzyme (ACE) inhibitors and calcium channel blockers) beta blockers are well proven and still remain the primary drugs in the treatment of patients with elevated blood pressure. In light of the use of these drugs for the control of such problems, and the research suggesting that they may have a negative effect on thermoregulation, it is unfortunate that older womenhave been practically excluded from the research concerning exercise and heat stress. In this study, we examined the effects of beta blockade on thermoregulation in post-menopausal women during a cycle bout in the heat. (Abstract shortened by UMI.)

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)0.000
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.003
GPT teacher head0.131
Teacher spread0.128 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)Same topicFern and Epiphyte BiologyFrench-language works237,207