Total body skeletal muscle mass and diet in children aged 6–8 years: ANIVA Study
Bibliographic record
Abstract
The objective was to assess if there was any relationship between the amount of skeletal muscle mass (SMM) in children aged 6–8 years and their nutritional intake. The Valencian Anthropometry and Child Nutrition (ANIVA) study is a cross-sectional study with children aged between 6–8 years (n = 1988) from schools in Valencia. Children were distributed into 4 groups for comparison: normal and high SMM and by sex. Anthropometric data were obtained following World Health Organization protocols. Nutritional intake was measured using a prospective 3-day food journal and the KIDMED questionnaire. Of the whole child sample, 63.9% had high SMM values. No differences were found in adherence to a Mediterranean diet or absolute energy intake. Significant differences were found in the proportion of energy intake in relation to estimated energy requirements and between nutritional intake of certain macro or micronutrients with SMM. This study provides values of SMM for children. Children’s adherence to a Mediterranean diet was not related to total SMM. At the same time, the consumption of excess calories or overeating is associated with SMM, with those children overeating more having lower SMM values. The differences in the intake of the other macro- and micronutrients were not associated with children’s SMM.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".