Association between prehypertension and psychological distress among adults in Saudi Arabia: A population-based survey
Bibliographic record
Abstract
BACKGROUND: Prehypertension is a precursor to hypertension status. Psychological distress has been identified earlier among hypertensives; however, there is little evidence for the presumptive relationship between prehypertension and psychological distress. OBJECTIVE: The study aimed to assess the psychological wellbeing of the Al-Kharj, Saudi Arabia population, using the General Health Questionnaire (GHQ-12) and correlating it with prehypertensive patients in the same population. METHODS: A cross-sectional analysis of the population of Al-Kharj, Saudi Arabia, was carried out between January and June of 2016. With an 85 percent response rate, a total of 1016 participants participated in the study. A multiple linear regression analysis was performed to assess the relationship between prehypertension and psychological distress. RESULTS: The findings of the adjusted analysis demonstrated that, on average prehypertensive patients were more distressed psychologically than non-hypertensive patients (unstandardized Beta regression coefficient = 3.600; P-value 0.025). Similarly, on average women were found to be more psychologically distressed than men (unstandardized Beta = 1.511, P-value 0.002). Civil workers and unemployed individuals were more psychologically distressed than employed individuals (unstandardized Beta = 1.326, P-value 0.041) while adjusting for the sociodemographic and other variables such as BMI, diabetes status, cholesterol, and smoking status. CONCLUSION: The current study shows that as compared to normotensive patients, self-rated mental wellbeing and psychological wellbeing are all considerably poorer among prehypertensive patients. To prevent individuals from having negative psychological outcomes and their long-term complications, the Government of Saudi Arabia needs to concentrate on prehypertensive, female, and unemployed individuals. Well-designed longitudinal studies, primarily in Saudi Arabia, are needed in the future to research the cause and impact of poor mental health and prehypertension.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".