Cardiovascular risk and disease among people with mental health disorders in Canada
Notice bibliographique
Résumé
Although research has revealed that there is excess cardiovascular morbidity among persons with mental health disorders (MHD), there is limited evidence specific to the Canadian context. It is also unclear if elevated rates of cardiovascular disease (CVD) can be attributed to MHDs themselves or to exposure to psychoactive medications. Moreover, few researchers have extended their investigations to account for psychiatric comorbidity or have applied cardiovascular risk prediction algorithms to conduct comprehensive assessments of this population’s heart health. Three studies were undertaken utilizing cross-sectional data obtained via the Canadian Community Health Survey Cycle 1.2. MHDs were assessed using the World Mental Health Composite International Diagnostic Interview. Frequency of psychoactive medication use, the presence of heart disease, and stroke and cardiovascular risk factors were also assessed. Framingham risk prediction algorithms were used to calculate cardiovascular risk. Descriptive statistics were employed to estimate the prevalence of CVD in people with a range of MHDs and psychoactive medication use. Associations between MHDs, psychoactive medication use, and cardiovascular risk and CVD were analyzed with logistic regression. Confidence intervals for the proportions and odds ratios were calculated using weighted bootstrapped estimates to take into account the complex survey design and nonresponse. Our examination of psychiatric comorbidity revealed that a small proportion of Canadians suffer from a heavy burden of MHDs and that disorders often co-occur. Respondents with any lifetime MHD were twice as likely to have a history of heart disease or stroke, and those without heart disease or stroke were more likely to be at high risk of developing CVD within 30-years compared to people without a diagnosis of a MHD. Similarly, people reporting psychoactive medication use were twice as likely to have heart disease, three times as likely to report having had a stroke, and more likely to be in the highest 30-year risk category for CVD compared to people not reporting psychoactive medication use. Negligible confounding was found between the effects of psychoactive medication use and having a MHD on heart health. These findings underscore the need for continued monitoring of CVD among Canadians with MHDs and development of effective preventative strategies.
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 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,003 | 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 ».