Association between depression and blood pressure in community-dwelling older adults: focus on Bushehr elderly health (BEH) program
Bibliographic record
Abstract
INTRODUCTION: Depression and increased blood pressure are significant burdens in elderly care. This study was conducted to discover the association between hypertension (HTN) and depression based on data obtained from the Bushehr Elderly Health (BEH) program in a large population of Iranian elderly in Bushehr, southern Iran. METHODS: This study was carried out based on data obtained from the Bushehr Elderly Health (BEH) program in a large population of Iranian elderly in Bushehr, a southern city in Iran. 2419 old adults were included in the study through multi-stage random sampling. Depression was assessed using Patient Health Questionnaire-9 (PHQ-9), and blood pressure was measured using a standard mercury sphygmomanometer. Statistical analysis was conducted via chai-square, analysis of variance (ANOVA), and univariate and multivariate linear regression tests. RESULTS: The mean age of participants was 69.95 ± 6.95 years. The prevalence of depression was 23.8%. Diastolic blood pressure (DBP) decreased with increasing PHQ score (B=-0.001; 95%CI: -0.00 to -0.00, P-value = 0.011). In the final model adjusted for confounding variables, no significant association was found between depression score and DBP (B=-0.00; 95%CI: -0.00 to 0.00, P = 0.13). Conversely, in the final model, which included the confounding variable, SBP was significantly associated with depression. It was deduced that a variable acted as a negative confounder in this association; in a way that with increased depression score, SBP significantly decreased (B=-0.00; 95% CI: -0.00 to -0.00, P = 0.04). CONCLUSION: Depression and its related medications could be significantly associated with controlled SBP. Health practitioners in primary health care centers must monitor the elderly inflicted with HTN for early symptoms of depression to help maintain blood pressure levels using medicinal and non-medicinal interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".