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Record W4224247196 · doi:10.1117/12.2628087

Cross-sectional study of association between social support, job strain and cardiovascular disease

2022· article· en· W4224247196 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021) · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsJob strainConfoundingJob controlSocial supportConfidence intervalCross-sectional studyAssociation (psychology)DiseaseDemographyPopulationGerontologyMedicinePsychologyEnvironmental healthWork (physics)Internal medicinePsychiatrySocial psychologyPathologyEngineering

Abstract

fetched live from OpenAlex

This cross-sectional study examines the association between workplace social support, job strain, and cardiovascular disease prevalence ratio and rate in a random sample of 13,779 in Sweden's working population which contains both males and females. Self-reported psychological work control, job demands, and workplace social support combined, is greater than multiplicatively relations to cardiovascular disease prevalence. Modified demand-control-support model is used for calculating prevalence ratio and prevalence rate. In comparison to the reference group, employees have high expectations, little control, and limited social support, demonstrates an age-adjusted prevalence ratio of 2.17 with a 95% confidence interval from 1.32 to 3.56. After controlling for age and 11 other potential confounding factors, the PRs for this group was around 2.00. By this study, when social support falls, cardiovascular disease prevalence rate and ratio rise in each combination. Limitations of the data accuracy and methodology weakness of cross-sectional design are discussed in this study.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.096
GPT teacher head0.407
Teacher spread0.311 · 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