Mental Disorders and Hypertension: Factors Associated With Awareness and Treatment of Hypertension in the General Population of Germany
Bibliographic record
Abstract
Objective: The aim of the present study was to identify the association between mental disorders and awareness and treatment of hypertension in a large representative community sample. Methods: The analysis was based on data from 4149 respondents, ages 18 to 65 years, from the German National Health Interview and Examination Survey, a nationally representative multistage probability survey conducted from 1997 to 1999. Mental disorders were assessed by a modified version of the Composite International Diagnostic Interview. Blood pressure was measured during the medical examination by a health examiner. Results: There was no general association between awareness of hypertension and affective, anxiety, and substance abuse/dependence disorders. Men with acknowledged but untreated hypertension more often experienced affective and substance abuse/dependence disorders than men with treated hypertension. These relationships were stable after adjustment for sociodemographic and clinical characteristics. Conclusions: Our results suggest that it is important to distinguish between treated and acknowledged but untreated hypertension when evaluating the associations between mental disorders and hypertension. BMI = body mass index; CI = confidence interval; CIDI-S = Composite International Diagnostic Screener; CIDI = Composite International Diagnostic Interview; CVD = cardiovascular diseases; DBP = diastolic blood pressure; GHS = German National Health Interview and Examination Survey; OR = odds ratio; SBP = systolic blood pressure.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".