<i>Widespread Micronutrient Inadequacies</i> Among Adults in Prince Edward Island
Bibliographic record
Abstract
PURPOSE: The prevalence of micronutrient inadequacies was assessed among adult residents of Prince Edward Island (PEI) in the PEI Nutrition Survey. METHODS: A peer-reviewed protocol was used in this cross-sectional survey, in which 24-hour recalls were administered during in-home interviews. A stratified random sample of 1,995 adults aged 18 to 74 participated. Median nutrient intakes with and without supplements were calculated; intakes were adjusted for day-to-day variability. Chi-square testing was used to assess differences in prevalence of inadequacy by age and sex. RESULTS: Most of the sample (more than 90%) had folate intakes below the Estimated Average Requirement (EAR). Magnesium and vitamin C intakes were low in more than 50% of the sample. Iron intakes were adequate in all groups except women aged 19 to 50, 29% of whom had intakes below the EAR. Women were more likely than men to have inadequate intakes. Median calcium intakes fell below recommendations for all age and sex groups. Supplement use had little impact on dietary adequacy in this sample. CONCLUSIONS: This study underscores the need for public health interventions designed to reduce the very high prevalence of nutrient inadequacies in the PEI adult population. In addition, education is needed on the selection of appropriate vitamin and mineral supplements.
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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 | 0.001 |
| 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".