Prevalence, Awareness, Treatment, and Control of Hypertension Among Residents in Guangdong Province, China, 2004 to 2007
Bibliographic record
Abstract
BACKGROUND: As a result of the large variation in geographic, demographic, and socioeconomic characteristics in different regions of China, the prevalence and treatment of hypertension in different regions differ widely. However, little is known about the recent trends of hypertension in Guangdong Province in southern China. We assessed the trends in prevalence, awareness, treatment, and control of hypertension in Guangdong Province between 2004 and 2007. METHODS AND RESULTS: The Guangdong Provincial Chronic Disease Risk Factor Surveillance, modeled on the national Chronic Disease Risk Factor Surveillance, was conducted every 3 years beginning in 2004 with a representative sample of Guangdong Province residents ≥18 years of age. Data from the Guangdong Provincial Chronic Disease Risk Factor Surveillance I (2004; n=7633) and II (2007; n=6447) were used to describe the trends in the prevalence of hypertension among Guangdong Province adults. Hypertension outcomes were examined with interview and examination data. From 2004 to 2007, the age-standardized prevalence rate of hypertension in Guangdong Province residents increased from 12.2% to 15.4% (P<0.001), with the largest increases among rural women (from 9.3% to 19.1%; P<0.001). Among hypertensive people, there was no improvement in awareness and treatment between 2004 and 2007; the control rates decreased from 7.1% in 2004 to 4.5% in 2007 (P<0.01). CONCLUSIONS: One in 7 Guangdong Province adults is hypertensive, but only one quarter are aware of the condition. About 22% of hypertensive patients receive treatment, and few have their hypertension effectively controlled. Hypertension has become a major public health problem in southern China. Comprehensive public health measures need to be taken to decrease the incidence of hypertension and to prevent the progression of hypertension to cardiovascular disease.
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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 | 0.001 | 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".