Assessing the consumption of berries and associated factors in the United States using the National Health and Nutrition Examination Survey (NHANES), 2007–2012
Bibliographic record
Abstract
Intake of berries was assessed relative to other fruit and fruit juices and total fruit intake in the U.S. population age 2 years and older using the National Health and Nutrition Examination Survey, 2007-2012. Average daily intake of total fruit was about 1 cup, and berries comprised approximately 10% of total fruit consumption. Only 18% of the population met the recommendation of at least 2 cups of fruit per day. Children ages 2 to 5 years consumed the most total fruit of which about half was juice and 4% of which was berries. Among adults, the highest berry consumption was by those who were 65 years and older, non-Hispanic White, and had the highest education and income levels. Use of the Nutrition Facts panel and ingredient labeling was associated with greater total fruit and berry intake. Those who were aware of an amount of fruit that is associated with good health and of dietary guidance in general and those who had fruit available in the home consumed about twice as much berries as others. Fruit intake remains below recommendations in the U.S.; berry intake is particularly low. Behavioral indicators provided insight on how fruit and berry consumption might be increased.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".