Assessment and characterization of the diet of an isolated population in the Bolivian Andes
Bibliographic record
Abstract
OBJECTIVES: The goal of this research is to characterize the composition and nutrient adequacy of the diets in the northern region of the Department of Potosí, Bolivia. Communities in this semiarid, mountainous region are isolated and impoverished having the highest rates of child malnutrition and under-five mortality in the Americas. METHODS: A total of 2,222 twenty-four-hour dietary recalls were conducted in 30 communities during May and November 2006 and May and November 2007. Food composition data were compiled from diverse published sources and integrated with the recall data to estimate intakes of energy, protein, fat, carbohydrates, and seven micronutrients. Diets were characterized in terms of food sources, seasonality, and nutrient adequacy. RESULTS: The diet relies heavily on the potato and other tubers (54% of dietary energy) and grains (30% of dietary energy). Although crop production is seasonal, off-season consumption of chuño helps to minimize seasonal fluctuations in dietary energy intake. Despite relative monotony, intakes of iron, vitamin C, most B vitamins, and vitamin A in adults are probably adequate; riboflavin, calcium, and vitamin A intakes in children are low. Nevertheless, extremely low dietary fat intakes (approximately 3-9% of dietary energy from fat) likely prevent adequate absorption of fat-soluble vitamins as well as lead to deficiencies of essential fatty acids. CONCLUSIONS: Dietary inadequacies, especially of fats, may explain much of the poor health observed in northern Potosí. An improved diet may be possible through increasing production and intake of local fat-rich food sources such as small animals.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".