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Record W4226119960 · doi:10.1161/circ.145.suppl_1.p224

Abstract P224: Optimism And Favorable Cardiovascular Health Maintenance Among African Americans: The Jackson Heart Study

2022· article· en· W4226119960 on OpenAlexaff
Harold Lee, Sakurako S. Okuzono, Claudia Trudel‐Fitzgerald, Peter James, Mario Sims, Laura D. Kubzansky

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsMedicineOptimismBody mass indexConfidence intervalDemographyPoisson regressionGerontologyCovariateInternal medicinePopulationEnvironmental healthPsychology

Abstract

fetched live from OpenAlex

Background: Higher optimism is associated with maintaining favorable cardiovascular health (FCH) among White adults, but evidence for this relationship is limited among African American adults, whose cardiovascular disease risk is higher than Whites. We investigated whether higher optimism is associated with more FCH over ~12 years among African American adults. Methods: Data were drawn from African-American women (n=2,730) and men (n=1,479) in the Jackson Heart Study (age=20-93 years). Participants free of CVD at baseline (2000–2004) were included in the analyses. Optimism was measured using the Life Orientation Test-Revised at the baseline period, and examined as a binary variable due to its skewed distribution. FCH was characterized according to whether participants had healthy status on each of five components of cardiovascular functioning (i.e., blood pressure, lipids, body mass index, type 2 diabetes, and smoking status) repeatedly assessed 3 times over ~ 12 years of follow-up; measures were obtained either from a clinical visit or via self-report. Linear mixed-effects models examined whether optimism predicted FCH level over time or FCH change rate, adjusting for covariates such as sociodemographic characteristics, depressive symptoms, and health behaviors. In secondary analyses, we evaluated potential effect modification by sex and income as well as the likelihood of meeting the recommendation for each FCH component separately in relation to optimism using generalized estimating equations with the Poisson distribution. Results: Adjusting for all covariates, higher (vs. lower) optimism was associated with better FCH pooled across time (β=0.10, 95% confidence interval=0.02–0.17) but not with the rate of change in FCH level. We did not find sufficient evidence for effect modification by sex and income (p-interactions<0.05), which may be due to lack of power. In the analyses examining FCH sub-components, optimism was not associated with the rate of change in meeting the guidelines, except smoking; unexpectedly, participants with higher optimism had a slower rate of change towards non-smoking (p-interaction=0.03). However, this is likely driven by large differences at baseline: optimistic participants’ non-smoking proportion changed from 89.3% (baseline) to 93.2 % (visit 3) vs. 84.8% (baseline) to 92.9% (visit 3) in participants with lower optimism. In the analyses examining FCH sub-components without time-interaction, higher vs. lower optimistic participants had a higher likelihood of not being diabetic (RR=1.03, 95% confidence interval=0.99-1.07) in the fully adjusted model. Conclusions: Optimism may contribute to establishing future patterns of FCH in adulthood, but other factors may be more strongly related to how slowly or quickly favorable FCH declines over time.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.275
Teacher spread0.250 · 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
Published2022
Admission routes1
Has abstractyes

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