Total Daily Water Intake in Guatemalan Children
Bibliographic record
Abstract
BACKGROUND: Water is an essential nutrient, but recommendations for total water requirements only emerged in 2005, in the context of estimated average population targets in the Dietary Reference Intakes (DRIs) for US and Canadian societies. OBJECTIVE: To assess total daily water acquisition, and the contribution of water acquired from all possible sources, among Guatemalan children. METHODS: A total of 449 urban Guatemalan schoolchildren, aged 8 to 11 years, evenly divided between two socioeconomic strata, completed a 1-day pictorial registry of all foods and beverages consumed. Estimated energy intake, total water intake, and the contributions of water from drinking water, beverages, intrinsic and extrinsic water in foods, and the oxidation of macronutrients were assessed. RESULTS: The contribution of water from the examined water sources was 8% for drinking water, 49% for beverages, 29% for all foods, and 14% for metabolism of macronutrients, with only slight variance across sexes and social class. The average total daily water acquisition was 1,841 +/- 572 mL for boys and 1,834 +/- 484 mL for girls, which fall short of the North American DRI recommendations of 2.4 and 2.1 L, respectively There was correspondingly lower average consumption of dietary liquids. CONCLUSIONS: Foods play an important role in the acquisition of water from their hydration and metabolic oxidation, contributing 43.8% of the daily supply to these children. There is still a calculated shortfall of daily water acquisition, as compared with the DRI recommendations, which could be overcome by greater intake of plain water and low-energy fresh produce.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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".