Dietary vitamin intake and its association with hypertension (HPT) among Malaysian adults
Bibliographic record
Abstract
This study aims to investigate the association between dietary vitamin (A, B 6 , B 9 , B 12 , C, E, and K) intake and hypertension (HPT) among Malaysian adult population. This is a cross-sectional analysis of baseline data from a population-based cohort of 10,031 participants from the Malaysia arm of the Prospective Urban and Rural Epidemiology (PURE) study. Participants were classified as having HPT if they reported a diagnosis of high blood pressure (systolic blood pressure (SBP)/diastolic blood pressure (DBP) > 140/90). Participants’ usual dietary intake was assessed using a validated food frequency questionnaire. Vitamin (A, B 6 , B 9 , B 12 , C, E, and K) intake was calculated using nutrient databases. The Mann-Whitney U test was used to assess differences in vitamin intake between the HPT groups. This study found that the prevalence of HPT among 10,031 respondents was 43.5%. The overall dietary intake of vitamins A and C was adequate, but the intake of vitamins B 6 , B 9 , B 12 , E, and K was inadequate compared to Malaysia’s Recommended Nutrient Intakes (RNI). The intake of vitamins A, B 6 , B 9 , B 12 , E, and K was significantly lower among patients with HPT compared to those without HPT ( p -value < 0.001). This study found that the Malaysian adult population is not receiving sufficient intake of vitamins B 6 , B 9 , B 12 , E, and K from their diet. Improving vitamin intake can be achieved through nutrition education, a diet that includes a variety of healthy foods, and food fortification and supplementation.
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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 | 0.000 | 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".