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Psychosocial Correlates of Cardiovascular Reactivity to Anticipation of an Exercise Stress Test Prior to Attending Cardiac Rehabilitation: A Preliminary Test<sup>1</sup>

2008· article· en· W1999226567 on OpenAlexaff
Shawn N. Fraser, Wendy M. Rodgers, Bill Daub

Bibliographic record

VenueJournal of Applied Biobehavioral Research · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsGlenrose Rehabilitation HospitalUniversity of Alberta
Fundersnot available
KeywordsAnticipation (artificial intelligence)Reactivity (psychology)Blood pressureHeart rateAnxietyPsychosocialPsychologyInternal medicineRehabilitationClinical psychologyMedicinePhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

We examined social and psychological correlates of cardiovascular reactivity (CVR), or exaggerated heart rate (HR) and blood pressure (BP) responses to mental stress, in 45 men (mean age = 60.1, SD = 9.9) and 17 women (mean age = 9.9, SD = 11.8) prior to cardiac rehabilitation. HR and BP increased from rest to anticipation, and women had higher resting and preexercise BP. Anxiety was positively related to HR reactivity. HR reactivity was negatively related to self‐efficacy in women and positively related to self‐efficacy in men. Men and women with more self‐efficacy had lower systolic blood pressure (SBP) reactivity, and anxiety was positively related to SBP reactivity in women. Results suggest that the relationship among psychosocial factors and CVR might differ among men and women.

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)0.002
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0000.001
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 head0.072
GPT teacher head0.421
Teacher spread0.349 · 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

Citations6
Published2008
Admission routes1
Has abstractyes

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