Differences in Dairy Intake Among Americans by Ethnicity and Age: NHANES 2015–2018
Bibliographic record
Abstract
Consuming dairy foods helps Americans meet recommendations for calcium, vitamin A, vitamin D, and protein. The Healthy U.S.-Style Dietary Pattern in the 2020 Dietary Guidelines for Americans (DGA) recommends 3 daily servings of low-fat or fat-free milk, cheese, and yogurt for those 9 years and older, 2.5 servings for children 4–8 years and 2 servings for children 2–3 years. The objective of this study was to assess dairy consumption by Americans 2 years of age and older to identify population groups at higher risk for underconsumption. Using data from the National Health and Nutrition Examination Survey (NHANES) 2015–2016 and 2017–2018, we evaluated the daily intake of total dairy foods, milk (total, white, flavored), cheese (total and cottage cheese separately), yogurt (regular and Greek), and milk substitutes (soy, rice, almond and others) by Americans, separating into groups by age (2 + years, 2–4 years, 4–8 years, 9–13 years, 14–18 years, 19 + years) and ethnicity (Asian, Hispanic, non-Hispanic Black, non-Hispanic White). Dairy serving amounts were defined as MyPlate serving size cup-equivalents. Regardless of age or ethnicity, Americans did not meet the DGA's dairy intake recommendations. Average total daily dairy intake for Americans ages 2 + was 1.57 ± 0.03 cup-equivalents, with 0.73 servings coming from milk and 0.73 from cheese. Children ages 2–4 and 4–8 years came the closest to meeting recommendations, consuming an average of 1.93 ± 0.06 and 1.93 ± 0.05 servings, respectively, of dairy foods daily. Intake fell to 1.83 ± 0.06 daily servings among children ages 9–13, more than 30% below the recommendation that children begin consuming 3 daily servings at age 9. Daily dairy intake continued to decrease among those 14–18 years (1.75 ± 0.07 servings) and among adults 19+ (1.48 ± 0.03 servings). Among those ages 2 and older, non-Hispanic Black Americans had the lowest average intake (1.18 ± 0.04 servings daily) and non-Hispanic White Americans (1.67 ± 0.03) had the highest. Across all ethnic groups, plain milk was consumed in greater quantities than any other dairy food. Both age and ethnic disparities exist in dairy intake for Americans. Improving adherence to dairy recommendations from the DGA could help Americans move closer to nutrient recommendations and overall healthy dietary patterns. National Dairy Council.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".