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Record W1965612872 · doi:10.1007/s12160-009-9104-9

Depressed Affect is Associated with Poorer Cardiovascular Recovery in Young Women Following a Mental Stressor

2009· article· en· W1965612872 on OpenAlexafffund
Brenda L. Key, Kharah M. Ross, Simon Bacon, Kim Lavoie, Tavis S. Campbell

Bibliographic record

VenueAnnals of Behavioral Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversité du Québec à MontréalMontreal Heart InstituteHôpital du Sacré-Cœur de MontréalConcordia UniversityUniversity of Calgary
FundersUniversity of CalgaryHeart and Stroke Foundation of Canada
KeywordsAffect (linguistics)StressorMental healthPsychologyHealth psychologyClinical psychologyMedicinePsychiatryPublic health

Abstract

fetched live from OpenAlex

Depressed mood has been prospectively associated with hypertension. Altered ANS function, as reflected in poor CV recovery, may be one mechanism that underlies this relationship. The purpose of this study was to investigate the relationship between depressed mood and cardiovascular recovery following a standard mental stress task in healthy young women. Depressed mood was assessed in 63 young women. Cardiovascular data were collected during a 5-min baseline period, 5-min public speaking stress task, and 15-min recovery period. Depressed mood accounted for 9.6% of the variation in HR reactivity (F(1,58) = 6.513, p = 0.013) and 4.5% of DBP recovery (F(1,58) = 4.538, p = 0.037). Greater depressed mood was associated with greater HR reactivity and poorer DBP recovery. This is the first study to directly investigate associations between depressed mood and CV recovery following mental stress.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.057
GPT teacher head0.383
Teacher spread0.326 · 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 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

Citations7
Published2009
Admission routes2
Has abstractyes

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