Cardiovascular risk and disease among people with mental illness in Canada
Notice bibliographique
Résumé
Objective: People with mental illness have poorer physical health and to suffer from higher rates of morbidity and mortality due to cardiovascular disease (CVD) than the general population. However, this has not been confirmed in a large, unselected community-based Canadian sample. The purpose of this study is to ascertain the association between mental illness and a history of heart disease and stroke, and 10-year and 30-year cardiovascular risk. Methods: Cross-sectional data of 36,984 respondents collected via the Canadian Community Health Survey Cycle 1.2 were analyzed. Mood and anxiety disorders were assessed with the World Mental Health – Composite International Diagnostic Interview instrument. Respondents’ self-reported diagnostic histories of schizophrenia, cardiovascular disease (CVD) (including heart disease and stroke), and cardiovascular risk (including diabetes, hypertension, treatment for hypertension, tobacco use and body mass index) were also ascertained. Framingham 10-year and 30-year risk prediction algorithms were used to calculate cardiovascular risk. A stratified multistage cluster sampling design was used. Descriptive statistics were used to estimate the prevalence of CVD across a range of mental illness and accounted for psychiatric comorbidity. Bivariate associations between mental illness and cardiovascular risk, heart disease and stroke were analyzed with logistic regression models. Results: Respondents who reported having any lifetime mental illness were twice as likely to have a history of heart disease (OR=2.0 [95% CI: 1.8, 2.2]) or stroke (OR = 2.3 [95% CI: 1.7, 3.0]), after controlling for sociodemographic differences, compared to people without a mental illness. Respondents with any mood or any anxiety disorder were one and a half times (OR = 1.5 [95% CI: 1.3, 1.8], OR = 1.5 [95% CI: 1.2, 1.8], respectively) more likely to have heart disease and almost two times (OR = 1.8 [95% CI: 1.1, 2.7], OR = 1.8 [95% CI: 1.1, 2.8], respectively) more likely to have had a stroke compared with people without mood or anxiety disorders, after adjusting for sociodemographic differences. When pairings were examined between psychiatric disorders, the association with heart disease and stroke was stronger compared with having the specific disorder alone. Respondents who were identified as having any lifetime mental disorder were less likely (OR = 0.8 [95% CI: 0.8, 0.9]) to be at high risk of developing CVD within 10 years. This same group was slightly more likely (OR = 1.2 [95% CI: 1.1, 1.4]) to be at high risk of developing CVD within 30 years. Conclusion: This descriptive study underscores the association between mental illness, CVD and cardiovascular risk and highlights some novel methods to examine cardiovascular health at a population level. The findings also serve as a call to action for all Canadian health professionals to work to improve the cardiovascular health of this population.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».