Contribution of Dairy Foods to Energy and Nutrient Intakes in Children and Adults: Analysis of Nhanes 2015–2018
Bibliographic record
Abstract
Dairy foods are foundational foods in healthy eating patterns. Consumption of dairy foods helps both children and adults meet the recommendations of a variety of essential nutrients. Accordingly, the objective of this study was to determine the contribution of total dairy, milk, cheese, and yogurt to energy and nutrient intake in children and adults. Twenty-four-hour dietary recall data from children age 2–18 (n = 5038) and adults age 19–99 (n = 9813) participating in the National Health and Nutrition Examination Survey (NHANES) 2015–2016 and 2017–2018 were analyzed. Intakes (both absolute amounts and as a percentage of total intake) of energy and nutrients were determined for all food groups using the USDA food category system. Data were generated on an as consumed basis and on a disaggregated basis; the latter approach reallocated energy and nutrients from milk and cheese found in other foods (e.g., pizza) back to the respective dairy food group. Total dairy was defined as milk, cheese, and yogurt in this analysis. On a disaggregated basis, total dairy provided 14.2% and 9.7% of total kcal/d in children and adults, respectively. At current consumption levels, milk, cheese, and yogurt contributed 61.6% of calcium, 65.8% of vitamin D, 22.8% of potassium, 23.7% of protein, 38.5% of vitamin A, 38.3% of vitamin B12, 31.1% of riboflavin, 36.3% of phosphorus, 22.7% of zinc, and 18.1% of magnesium in children, on average. Dairy foods also contributed 19% of total fat, 31.1% of saturated fat, 13.9% of sodium, and 4.7% of added sugar to the diets of children. Similarly, in adults, milk, cheese, and yogurt contributed 49.5% of calcium, 45.9% of vitamin D, 11.6% of potassium, 15.7% of protein, 26.6% of vitamin A, 24.9% of vitamin B12, 18.6% of riboflavin, 25% of phosphorus, 15.5% of zinc, and 9.4% of magnesium to the diet, on average. Total dairy also provided 14.2% of total fat, 24.8% of saturated fat, and 10.1% of sodium in adults. Milk was the top source of calcium and vitamin D in both children and adults. Milk, cheese, and yogurt remain significant sources of key nutrients for children and adults, including three out of the four underconsumed nutrients of public health concern (vitamin D, calcium, and potassium) as defined by the 2020 Dietary Guidelines for Americans. National Dairy Council.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| 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".