Association Between Dietary Patterns and the Risk of Hypertension Among General Population in China and America
Bibliographic record
Abstract
Hypertension is one of the risk factors of many diseases such as cardiovascular disease and stroke, and it has become increasingly prevalent worldwide. Although elevated blood pressure is related to many different factors, some studies have found that people's dietary patterns seem to be closely related to the development of hypertension. This paper aimed to compare the dietary patterns in China and America and to explore how they affect the incidence of hypertension in both countries. Through analysis, high sodium diets, substandard vegetable intake, and high-temperature cooking methods in both countries were found to be hazard factors that might increase the prevalence of hypertension. The difference was that the high sodium intake in America mainly comes from processed food, while the sodium intake in China mainly comes from salt added during cooking. In addition, the relatively high intake of whole-grain diet in China may also be one of the reasons for the relatively low prevalence of hypertension in China. In terms of intervention on hypertension, although America has higher compliance with the DASH diet, it is still important to popularize dietary guidelines and hypertension-related knowledge in order to help the public better improve their health status. However, the current research has no definite evidence to prove the relationship between diet and hypertension, so more research and data still need to be found.
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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) | 0.000 | 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 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".