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Record W7057459169

Investigating Associations Between Anxiety Sensitivity and Patient Outcomes in a Cardiac Rehabilitation Program: A One Health Approach

2021· article· en· W7057459169 on OpenAlexaff

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsWestern University
Fundersnot available
KeywordsRehabilitationAnxietyBlood pressureSample (material)MEDLINEQuality of life (healthcare)
DOInot available

Abstract

fetched live from OpenAlex

Cardiac Rehabilitation (CR) is an exercise-based program, aimed at improving ones’ cardiovascular health. A substantial majority of patients referred to CR do not enroll, complete, or achieve clinical targets in the program due to patient-level factors. The objective of this thesis was to investigate relationships between anxiety sensitivity (AnxS) and patient outcomes in CR. Self-reported questionnaires were completed across two time points, with patient information being abstracted from medical records. Stakeholders associated with reducing the burden of AnxS in CR were also identified using snow-ball sampling. Findings suggest that resting diastolic blood pressure is associated with the interrelationships between AnxS, anxiety, and depression. A larger sample size is needed to establish concrete relationships between AnxS and patient outcomes in CR. This evidence may support the need to target AnxS for treatment. Stakeholders with high power and influence may also be beneficial in implementing changes to CR guidelines, if necessary.

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)0.009
metaresearch head score (Gemma)0.011
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 score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.330
Teacher spread0.257 · 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
Published2021
Admission routes1
Has abstractyes

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