Socioeconomic, demographic and lifestyle factors associated with dietary patterns of women living in Southern Brazil
Bibliographic record
Abstract
This study focused on the association between dietary patterns and socio-demographic and lifestyle factors. A population-based cross-sectional study was performed in 1,026 adult women from Southern Brazil. Dietary patterns were identified using principal components analysis. In the multivariable analysis, a Poisson regression model was used to estimate the prevalence ratio and 95%CI. Wealthier women were more likely to follow healthy diets. A Low Cost Healthy Diet was more prevalent among women with a partner, and a High Cost Healthy Diet was more prevalent among women not currently working and who exercised regularly. Women with lower education levels were less likely to follow a Low Cost Healthy Diet, but more likely to follow the Higher-Risk Low Cost Diet. The Low Cost Higher-Risk Diet was more prevalent among women with a lower income. Low and medium cost healthy diets were positively associated with age. The results showed that women's dietary choices are influenced by socioeconomic factors and are not only dependent on food prices.
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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 | 0.002 |
| 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".