Factors influencing the dietary response to a nutritional intervention promoting the Mediterranean food pattern in healthy women from the Quebec City metropolitan area
Bibliographic record
Abstract
The purpose of this study was to evaluate the influence of sociodemographic characteristics and baseline food habits on the dietary response to a nutritional intervention promoting the Mediterranean food pattern and maintenance of dietary modifications in 73 healthy women. The 12-week nutritional intervention in free-living conditions consisted of two group courses and seven individual sessions with a dietitian. A follow-up visit was performed 12 weeks after the end of the intervention (week 24). A Mediterranean dietary score was derived from a food frequency questionnaire, administered at 0, 6, 12 and 24 weeks. Marital status, socioeconomic level, educational level and household size did not seem to influence the dietary response, whereas women without children followed more closely dietary advice than women with children (OR, 3.6; 95% CI, 1.3-10.0). Planning food purchases in function of weekly discounts was also associated with better dietary response to the intervention (OR, 3.3; 95% CI, 1.3-8.8). Nutritional intervention promoting the Mediterranean food pattern was effective in modifying food habits of healthy women. The fact of having children or not and food purchase habits seem to influence the response to a nutritional intervention promoting the Mediterranean food pattern.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".