Short Communication: Recommended Dietary Allowance for School-Aged Children in Cambodia
Bibliographic record
Abstract
Nutrient standards have not been developed for school-aged children in Cambodia, which has led to a lack of basic nutritional education and feeding programs in schools. This article highlights the recommended dietary allowance (RDA) for school-aged children in Cambodia, which was developed by the Ministry of Health in 2016 with the participation of representatives from relevant government agencies, international organizations, and non-governmental organizations. Because of the limited amount of data and scientific knowledge specified for Cambodia, this new RDA (CAM-RDA) was based on Southeast Asian RDAs (SEA-RDA) and used extrapolation methods shown in various guidelines such as those of the World Health Organization/Food and Agriculture Organization/United Nations, Japan, or the USA/Canada. First, the Foundation for International Development/Relief (FIDR) conducted a nutritional survey using a 24-h dietary method combined with anthropometric measurements among 2,020 children aged 6–17 years throughout Cambodia between November 2014 and July 2015 (CAM-data). The body weight and height values recorded were much lower than the reference values used in SEA-RDA. Therefore, an estimated ideal weight was determined as the reference value for CAM-RDA; that is, the intermediate value between of the reference value from SEA-RDA and the median value from the CAM-data was set to the reference weight values to calculate the requirements for energy and 19 nutrients in the CAM-RDA. Because an increase in body weight of Cambodian children is expected in the future due to nutrition transition, the reference values should be reviewed. We hope that the CAM-RDA will help in guiding the national nutritional policies in Cambodia.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".