Mood Disorder and Hypertension Among Canadian Older Adults with Different Religious Affiliations: A Cross-sectional Analysis of the Baseline Data from the CLSA
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".