Association between health literacy and cardiac secondary prevention behaviours and health outcomes among culturally and linguistically diverse populations
Notice bibliographique
Résumé
Abstract Introduction Culturally and linguistically diverse (CALD) populations can encounter challenges in managing coronary artery disease due to lower health literacy, cultural differences, and language barriers. These factors may impact adherence to recommended cardiac secondary prevention (CSP) interventions, such as attendance at cardiac rehabilitation. Purpose To explore associations between health literacy and CSP behaviours and health outcomes within CALD groups. Methods Data from a multicentre, prospective observational study (ENHEARTEN) conducted across three metropolitan and one regional hospital in Victoria, Australia were collected for 440 adults (>18 years) with their first myocardial infarction. The study explored associations between health literacy and CSP outcomes such as medication adherence, physical activity, cardiac rehabilitation, anxiety and depression. Data were collected via survey and medical records. Health literacy was measured using the 12-item European Health Literacy Survey (HLS-Q12) and four scales of the Health Literacy Questionnaire (HLQ): scale 3 (Actively managing my health), scale 4 (Social support for health), scale 6 (Engaging with healthcare providers) and scale 7 (Navigating the healthcare system). Descriptive statistics and univariate logistic regression were used to identify whether health literacy predicted CSP outcomes. Results CALD participants were more likely than non-CALD participants to have a higher level of education (10.4% vs. 5%; p<0.001), less likely to be a current smoker (29.4% vs. 36.5%; p=0.02), and were more likely to have high cholesterol (44.1% vs. 27.3%; p<0.01). Among CALD participants, higher scores on HLQ scales 6 and scale 7 were associated with improved medication adherence (OR=2.88, 95% CI:1.21, 6.90), (OR=2.16, 95% CI: 1.21, 3.86), respectively. Higher scores on HLQ scale 4 were associated with increased cardiac rehabilitation attendance in CALD participants (OR=2.69, 95% CI:1.21, 5.97). Higher scores on HLQ scales 4 were also associated with less likelihood of anxiety or depression (OR=0.21, 95% CI: 0.07, 0.61) (OR=0.29, 95% CI: 0.10, 0.86), respectively, as were higher scores on scale 6 (OR=0.37, 95% CI: 0.20, 0.72) (OR=0.43, 95% CI: 0.22, 0.84), and scale 7 (OR=0.46, 95% CI: 0.25, 0.84) (OR=0.40, 95% CI: 0.21, 0.77), respectively. No significant associations were found between health literacy and physical activity. And no significant associations were found between the HLS and CSP outcomes. Conclusion Higher health literacy in CALD participants was associated with improved CSP behaviours and health outcomes, including reduced depression and anxiety, greater medication adherence, and increased likelihood to attend cardiac rehabilitation. These findings highlight the importance of health literacy in managing cardiovascular health and suggest that targeted health literacy interventions may enhance secondary prevention and reduce health disparities in CALD populations.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».