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Abstract 4145127: Sex Differences in Everyday Mood States and its Association with Autonomic Physiology

2024· article· en· W4404358976 on OpenAlexaff
Amit Shah, Hua She, Lisa Elon, Qiao Li, Tatum Roberts, Lewam Stefanos, George Haddad, Shishir Gupta, Nitya Tarlapally, Rachel Lampert, Paolo Raggi, Brad D. Pearce, Arshed A. Quyyumi, Reza Sameni, Tené T. Lewis, Samaah Sullivan, J. Douglas Bremner, Gari D. Clifford, Viola Vaccarino

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineAssociation (psychology)MoodPhysiologyGerontologyClinical psychologyInternal medicinePsychotherapist

Abstract

fetched live from OpenAlex

Background: Although CHD incidence is low amongst young and middle-aged women, those who have premature MI are at a high risk of mortality. Greater psychosocial exposures and mental health comorbidities in women may play a role. We hypothesize that women age ≤ 60 years with recent MI have a higher burden of everyday negative psychological experiences, and that these are associated with greater real-time cardiac autonomic dysfunction compared with men. Methods: We examined real-time mood and autonomic function in 239 participants aged ≤ 60 years with an MI within 8 months. We performed smartphone-based ecological momentary assessments of stressful events and negative mood states (anger, anxiety, distress, loneliness, and sadness) at 3 random points throughout the day for one week. Participants simultaneously wore a Holter monitor to measure autonomic function. Our primary exposure was the average negative mood intensity (rated 0 to 10) throughout the week, and our primary outcome was reduced deceleration capacity of heart rate (DC) during sedentary periods as a measure of lower vagal activity. Other measures of dysautonomia included lower high (HF) and low frequency (LF) heart rate variability (HRV). We used multivariable linear regression models to adjust for potential confounders. Results: The mean age was 52 years, 51% were black, and 36% were women; 76% of women reported at least one stressful event in the week of monitoring, vs. 64% of men (p=0.04). Women reported more negative mood than men by 0.39 units (p=0.02) on average. DC, averaged across the week, was 12% lower, LF HRV was 41% lower, and HF HRV was 34% lower in women than in men. As the weekly average of negative mood increased, the weekly average of DC declined in women only (Figure). After adjusting for age, current smoking, diabetes, and beta-blocker use, each 2-point increase in the negative mood score was associated with a 12% (95% CI: 6.12%-17.88%) lower DC in women only. Similar findings were observed for HF and LF HRV. Conclusions: Young and middle-aged post-MI women reported more real-time negative psychological states, which were associated with worse autonomic function compared to men with early MI. Resting autonomic function was also lower in women. Negative mood in daily life has disproportionate impact on cardiac autonomic regulation among women. Psychophysiological mechanisms are important in the examination of sex-based disparities in CHD pathophysiology and outcome.

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)0.001
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 score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0130.001

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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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