Beverage Consumption in the Diets of Children is Not Consistently Associated with Weight: National Health and Nutrition Examination Survey 2007-2014
Bibliographic record
Abstract
Objectives: The objective of this study was to examine whether there was significant risk associated with types of beverages consumed on the weight status in children.Design: Nationally representative cross-sectional sample.Setting: Demographic information was obtained from the NHANES interviews. Dietary intake data were obtained from Day 1, in-person 24-hour dietary recall interviews administered using an automated multiple-pass method. Height and weight were obtained according to NHANES Anthropometry Procedures Manual.Subjects: Children 2-18 years of age.Results: The likelihood of being overweight or obese was not significant for any of the beverages studied between consumers and non-consumers. For the total sample, for every 29.6 mL of water consumed the risk of being obese was 1%. For ages 6-11 years water consumption increased the risk of being obese and in ages 2-5 years, consumption of sugar sweetened beverages (SSB) increased the risk of being obese. The risk of being obese was significant p <0.05 for Hispanic males for every 29.6 mL of water consumed and for 100% fruit juice and SSB for other males; increased risk was ?3%. The risk of being obese increased for White females for every 29.6 mL of flavored milk consumed and water consumption for both Black females and Hispanic females; the significant p<0.05 increased risk of obesity was ?7%.Conclusions: Beverage consumption was not consistently associated with weight status in the diets of a nationally representative sample of children. In some cases the increased risk was very small.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".