Mental health in hypertension: assessing symptoms of anxiety, depression and stress on anti-hypertensive medication adherence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Patients with chronic conditions like hypertension may experience many negative emotions which increase their risk for the development of mental health disorders particularly anxiety and depression. For Ghanaian patients with hypertension, the interaction between hypertension and symptoms of anxiety, depression and stress remains largely unexplored. To fill this knowledge gap, the study sought to ascertain the prevalence and role of these negative emotions on anti-hypertensive medication adherence while taking into account patients' belief systems. METHODS: The hospital-based cross-sectional study involving 400 hypertensive patients was conducted in two tertiary hospitals in Ghana. Data were gathered on patient's socio-demographic characteristics, anxiety, depression and stress symptoms, spiritual beliefs, and medication adherence. RESULTS: Hypertensive patients experienced symptoms of anxiety (56%), stress (20%) and depression (4%). As a coping mechanism, a significant relation was observed between spiritual beliefs and anxiety (x (2) = 13.352, p = 0.010), depression (x (2) = 6.205, p = 0.045) and stress (x (2) = 14.833, p = 0.001). Stress among patients increased their likelihood of medication non-adherence [odds ratio (OR) = 2.42 (95% CI 1.06 - 5.5), p = 0.035]. CONCLUSION: The study has demonstrated the need for clinicians to pay attention to negative emotions and their role in medication non-adherence. The recommendation is that attention should be directed toward the use of spirituality as a possible mechanism by which negative emotions could be managed among hypertensive patients.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it