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Record W2921021961 · doi:10.1161/circ.139.suppl_1.p363

Abstract P363: Cardiovascular Health as a Mediator of Psychosocial Influences on CVD

2019· article· en· W2921021961 on OpenAlexaffabout
Sarah Singh, Stephanie J. Frisbee

Bibliographic record

VenueCirculation · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychosocialMedicineSocial supportDiseaseGerontologyStructural equation modelingPopulationCardiovascular healthClinical psychologyPsychiatryEnvironmental healthInternal medicinePsychology

Abstract

fetched live from OpenAlex

Background: Negative psychosocial factors, such as high stress and poor social support, are strongly associated with disease outcomes, including CVD. Conceptually, it is plausible that better cardiovascular health (CVH) may blunt the association between psychosocial factors and incident CVD. However, few studies have investigated whether CVH, which includes biological and behavioral factors, is a potential pathway between psychosocial factors and CVD. Objective: To investigate whether the association between CVD and psychosocial factors is fully or partially mediated by CVH. Setting: This study was carried out in a nationally representative sample of Canadian adults aged 20 years and older. Data and Methods: This study is a cross-sectional design using data from the Canadian Community Health Survey (CCHS) 2015-2016 database. The CCHS is a nationwide, nationally representative survey that collects information on the health status, health care utilization and health determinants of the Canadian population. The study outcome was CVD, as measured by the self-reported presence of physician-diagnosed heart disease. The potential mediator was individual CVH, defined using the AHA CVH Index (CVHI) and determined using self-reported responses in CCHS. Psychosocial factors included self-reported responses to questions on life stress, work stress, sleep, social support and alcohol and drug use. A structural equation modeling (SEM) approach was then used to explore the mediational role of CVH in the association of CVD with psychosocial factors. Analyses were conducted in MPlus Version 8 software. Results: The majority of the population were males (51%), aged 40-60 (37%), with tertiary education (64%) and of the White race (79%). Overall, the mean CVH of the population was 4.5. Results suggested that CVH and all psychosocial factors, except for life stress predicted, CVD. Additionally, all psychosocial factors, except for life stress and drug use, predicted CVH. Standardized coefficients demonstrated that, of all psychosocial factors, work stress had the highest impact on both CVH (std coeff -0.22, p<0.001) and CVD (std coeff -0.07, p<0.0001). Further analyses demonstrated that CVHI partially mediated the association between CVD and work stress (std coeff -0.02, p<0.001), sleep (std coeff -0.002, p<0.001), alcohol use (std coeff -0.009, p<0.001) and social support (std coeff -0.001, p=0.003). None of the associations were fully mediated by CVH. Conclusion: Results indicated that the association between psychosocial factors and CVD was partially mediated by CVH. That is, while better CVH weakened the association between psychosocial factors and CVD, the direct association between psychosocial factors and CVD remained. Further analyses should investigate whether accounting for individual characteristics such as age, sex and race may reveal full mediation through CVH.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.336
Threshold uncertainty score0.669

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.001

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 head0.017
GPT teacher head0.306
Teacher spread0.289 · 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 designNot applicable
Domainnot available
GenreOther

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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Citations0
Published2019
Admission routes2
Has abstractyes

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