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Psychological Distress and Risk of Myocardial Infarction and Stroke in the 45 and Up Study

2018· article· en· W2948375763 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

VenueCirculation Cardiovascular Quality and Outcomes · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsCentre for Global Health Research
FundersNew South Wales GovernmentNSW Ministry of HealthCancer Council NSWNational Heart Foundation of Australia
KeywordsMedicineHazard ratioMyocardial infarctionStroke (engine)DistressPsychological distressPopulationConfidence intervalInternal medicineProspective cohort studyProportional hazards modelPhysical therapyMental healthPsychiatryClinical psychology

Abstract

fetched live from OpenAlex

Background The interplay between mental and physical health remains poorly understood. We investigated whether psychological distress is associated with risk of myocardial infarction (MI) and stroke in a population-based prospective study. Methods and Results We included participants without prior stroke/MI from the New South Wales 45 and Up Study. We categorized baseline psychological distress as low, medium, and high/very high on the 10-item Kessler Psychological Distress scale and identified stroke and MI through linkage to hospital admission and mortality records. We obtained sex and age-stratified adjusted and unadjusted hazard ratios for the association between psychological distress and MI and stroke. We investigated for interaction between psychological distress and each of age and sex. Among 221 677 participants, 16.2% and 7.3% had moderate and high/very high psychological distress at recruitment, respectively. During 4.7 (±0.98 SD) years of follow-up, 4573 MIs and 2421 strokes occurred. Absolute risk of MI and stroke increased with increasing psychological distress level. In men aged 45 to 79 years, high/very high versus low psychological distress was associated with a 30% increased risk of MI (fully adjusted hazard ratios, 1.30; 95% CI, 1.12-1.51), with weaker estimates in those aged ≥80 years. Among women, high/very high psychological distress was associated with an 18% increased risk of MI (adjusted hazard ratio, 1.18; 95% CI, 0.99-1.42) with similar findings across age groups. In the age group of participants aged 45 to 79 years, high/very high psychological distress and male sex had a supra-additive effect on MI risk. Similar estimates were observed for stroke, with high/very high psychological distress associated with a 24% and 44% increased stroke risk in men and women, respectively, with no evidence of interaction with age or sex. Conclusions Psychological distress has a strong, dose-dependent, positive association with MI and stroke in men and women, despite adjustment for a wide range of confounders.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.067
GPT teacher head0.399
Teacher spread0.333 · 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