Dietary Quality Index and Cardiometabolic Risk Factors among Adult Women
Bibliographic record
Abstract
Background: The prevalence of cardiovascular disease is dramatically increasing particularly in developing countries. Among the different factors, diet has an important role in the pathogenesis of these diseases. This study aimed to assess the relationship between dietary quality index-international (DQI-I) and cardiovascular risk factors in adult Iranian women. Methods: This was a cross-sectional study of 371 participants, aged 20-50 yr, and recruited from 10 health centers from health centers affiliated with Tehran University of Medical Sciences (TUMS), Tehran, Iran in 2018. Usual dietary intake was evaluated by a validated and reliable 168-items food frequency questionnaire (FFQ). To assess overall quality of diet, the Dietary Quality Index-International (DQI) was used. Anthropometric measurements, blood pressure, and fasting blood of samples were taken to assess biochemical parameters related to cardiovascular disease. Results: The results of linear regression showed that DQI-I score was inversely and directly associated with serum level of total cholesterol (TC) (0.27, confidence interval (CI): 0.13-0.58; P<0.001) and high-density lipoprotein cholesterol (HDL-C) (2.53, CI: 1.42-4.52; P=0.001), respectively. However, there was no significant association between DQI-I and other cardiovascular risk factors. Conclusion: A greater DQI-I score was associated with preferable lipid profile including TC and HDL-C. Future large-scale, prospective cohort or clinical studies are required to confirm these findings.
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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 | 0.002 | 0.001 |
| 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".