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The effect of major depression on postexercise cardiovascular recovery

2011· article· en· W1941341296 on OpenAlexafffund
Jennifer L. Gordon, Blaine Ditto, Kim Lavoie, Roxanne Pelletier, Tavis S. Campbell, André Arsenault, Simon Bacon

Bibliographic record

VenuePsychophysiology · 2011
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsHôpital du Sacré-Cœur de MontréalConcordia UniversityUniversity of CalgaryMcGill UniversityMontreal Heart InstituteUniversité du Québec à Montréal
FundersCanadian Institutes of Health Research
KeywordsBlood pressureMajor depressive disorderHeart rateDepression (economics)Dysfunctional familyPsychologyCardiologyInternal medicineAutonomic nervous systemMedicinePsychiatry

Abstract

fetched live from OpenAlex

Major depressive disorder (MDD) is associated with increased cardiovascular (CV) mortality. Dysfunctional autonomic control of the CV system may represent a mechanism explaining this relationship. Poor CV recovery after exercise, indicative of dysfunctional autonomic control of the CV system, predicts CV events and death. This is the first study to examine the association between MDD and postexercise CV recovery. Some 886 patients underwent exercise stress tests. Heart rate (HR), systolic blood pressure, and diastolic blood pressure were measured at rest, peak exercise, 1 min, and 5 min after exercise. Patients with MDD had slower HR recovery (p=.026) 1 min after exercise than non-MDD patients. No other effects of MDD were found. MDD is accompanied by a dysregulation in autonomic control of exercise-related CV recovery, suggesting that depressed individuals have a slow parasympathetic recovery from exercise.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations17
Published2011
Admission routes2
Has abstractyes

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