Modifiable Risk Factors Mediate Associations Between Socioeconomic Position and Cardiovascular Disease Morbidity and Mortality
Notice bibliographique
Résumé
Morbidity and mortality from cardiovascular diseases (CVDs) are higher among individuals with a lower, compared to those with a higher socioeconomic position (SEP). However, the contribution of modifiable risk factors to these inequities is not known. This study aimed to examine whether and to what extent modifiable risk factors mediate associations between SEP and CVD morbidity and mortality in a nationally representative sample of Canadian adults. We used a population-based prospective observational cohort design whereby participants who completed the Canadian Community Health Survey (2000–2011; n = 289,800) were followed longitudinally for CVD morbidity and mortality using administrative health and mortality data in the Discharge Abstract Database and the Canadian Mortality Database until 31 March 2013. Participants were included if they were at least 35 years of age and did not self-report CVD at the time of survey administration. The exposure of interest was SEP, which was measured as a latent variable consisting of annual household income and educational attainment. Potential mediators included smoking, physical inactivity, obesity, diabetes, and hypertension. The primary outcome of interest was CVD morbidity and mortality, which was defined as the first fatal or nonfatal CVD event that occurred during follow-up (6.2 years). Generalized structural equation modeling was used to test the mediating effects of modifiable risk factors in associations between SEP and CVD morbidity and mortality. SEP was associated with CVD morbidity and mortality. Modifiable risk factors mediated 80% of associations between SEP and CVD morbidity and mortality. Smoking was the most important mediator of these associations. Obesity mediated associations between SEP and CVD individually and jointly with diabetes or hypertension. These findings point to modifiable risk factors as potential targets for interventions to reduce inequities in CVD morbidity and mortality. Knowledge of pathways linking SEP with CVD is essential to inform targeted interventions to reduce socioeconomic inequities in CVD morbidity and mortality. This study was funded by a Libin Cardiovascular Research Institute of Alberta Innovation Seed Grant and the Petro-Canada Young Innovator Award in Community Health.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».