Evaluating current egg consumption patterns: Associations with diet quality, nutrition and health status in the UK National Diet and Nutrition Survey
Bibliographic record
Abstract
Abstract Dietary habits are constantly evolving with changes in culture, economics and the food supply. In the UK, red meat intakes have been declining for more than a decade, while egg consumption has increased in tandem with interest in healthy, sustainable diets. To explore current dietary habits of egg consumers and non‐consumers and potential implications for nutrition and health, we analysed dietary records from 647 adults participating in Year 9 (2017) of the UK National Diet and Nutrition Survey (NDNS). Mean consumption of eggs and egg dishes was 29 g/day (3.5 eggs/week). Female egg consumers (n = 224; mean 46 g/day, 5 eggs/week) ate more fruit, vegetables and fish and had significantly higher dietary intakes of protein, monounsaturated fatty acids, n‐3 polyunsaturated fatty acids and most micronutrients, notably vitamin D, most B vitamins, vitamin C, iron, zinc and selenium, compared with non‐consumers (n = 150). They also had higher plasma levels of 25‐hydroxyvitamin D, total carotenoids, selenium and ferritin and were less likely to be anaemic. Female egg consumers had a lower mean body mass index and waist circumference, despite reporting a higher mean energy intake than non‐consumers. Male egg consumers (n = 159; mean 54 g/day, 6 eggs/week) had higher dietary intakes of vitamin D, biotin, iodine and selenium but similar micronutrient status and bodyweight to non‐consumers (n = 114). There were no significant differences in cardiometabolic risk factors for either sex. Egg consumption appears to be associated with signs of higher dietary quality, better nutritional status, and slightly lower body mass index among women participating in the latest NDNS.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.002 | 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".