Mood Disorder and Hypertension Among Canadian Older Adults with Different Religious Affiliations: A Cross-sectional Analysis of the Baseline Data from the CLSA
Notice bibliographique
Résumé
Background: The relationship between mood disorder and hypertension is not well understood among Canadian older adults. No research has examined whether religiosity has any impact on this relationship in a Canadian older adult population. Objectives: To examine i) the association between mood disorder and hypertension among older Canadian older adults and ii) if religion had an impact on this association Methods: Baseline data from the CLSA of 44,920 males and females aged 45 years and older was collected. Mood disorder and hypertension were defined by self-reported clinical diagnosis. Religious affiliation was categorized into two groups: no religious affiliation or some religious affiliation. Among religiously affiliated participants, religious attendance was categorized into four groups; daily/weekly, monthly, yearly and never in the past 12 months. Among non-religiously affiliated participants, religious attendance was categorized into two groups; no attendance and any form of attendance in the past 12 months. Logistic regression was used to assess the relationship between mood disorder, religious affiliation, religious attendance and hypertension. Age-related trends were also examined to see if any of the associations differed among different age groups. Results: The odds of reporting hypertension increased with self-reported mood disorder and/or religious affiliation by 27% (OR, [95% CI]: 1.27, [1.16, 1.39]) and 13% (OR, [95% CI]: 1.13, [1.04, 1.23]), respectively. As attendance to religious services and events increased, the magnitude of association between religious affiliation and hypertension decreased (OR, [95% CI]: 1.20 [1.09, 1.33] to 1.02, [0.92, 1.13]). Among religiously affiliated, the decrease in magnitude was more apparent (OR, [95% CI]: 1.01 [0.91, 1.12] to 0.85, [0.77, 0.93]). Conclusion: This study suggests that there is an association between mood disorder and hypertension, with the presence of mood disorder increasing the odds of hypertension. Similarly, being religiously affiliated seems to share a similar relationship with hypertension. To note, it seems as though the magnitude of the association between religious affiliation and hypertension decreases with increased attendance. This study will help to grow the ever-growing body of religious related literature and will be crucial in understanding the multifaceted nuanced nature of religion. Key Words: mood disorder, hypertension, religion, affiliation, CLSA
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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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| 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 ».