<i>Dietary Practices of Women</i> Diagnosed with Environmental Sensitivity
Bibliographic record
Abstract
PURPOSE: Food avoidance is central to the treatment of environmental sensitivity (ES), a chronic, often debilitating, multisystem disorder characterized by adverse reactions to non-noxious levels of environmental substances. Because prolonged food avoidance could impact nutritional health, the purpose of this research was to assess adequacy and quality of diets consumed by women diagnosed with ES. METHODS: Twelve women aged 37 to 50 recruited from the Nova Scotia Environmental Health Clinic completed a four-day food record during the spring and summer of 1998. RESULTS: When adequacy of nutrient intake was assessed by comparison to the Estimated Average Requirement, the most limited nutrients in the diet were folate, vitamin B6, vitamin B12, and magnesium. Only one woman exceeded the Adequate Intake for calcium. When diet quality was assessed using the Healthy Eating Index, the majority of women (75%) scored in the "needs improvement" category; intake of milk and dietary variety scored the lowest. Women consumed very few servings from "other foods", defined in the food guide as foods containing mostly sugar and mostly fat. CONCLUSIONS: The results of this study suggest that women diagnosed with ES would benefit from counselling on ways to increase dietary variety, which would lead to improved nutrient intake, and ways to increase calcium intake.
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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 | 0.000 | 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) | 0.001 | 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".