Ecuadorian Andean Women's Nutrition Varies with Age and Socioeconomic Status
Bibliographic record
Abstract
An agricultural project in Highland Ecuador provided a model context to better understand the nutrition of rural women. The adequacy of women's nutrition and the strength of associations with age and socioeconomic status were studied in 104 rural households over four rounds (two seasons) during the 1995-1996 agricultural year using a cross-sectional with repeated-measures design. Women were at high risk for micronutrient deficiencies (calcium, iron, riboflavin, and vitamin B12) due to low intakes of animal products. Two distinct constructs representing socioeconomic status were identified: modern lifestyle and farming wealth. In multivariate models, farming wealth was associated with quality of women's diet (animal protein adjusted for energy, p = 0.01). Diet quality, in turn, was positively associated with anthropometric status (p = 0.02). Women over the age of 50 weighed approximately 3.7 kg less than younger women and consumed less energy (300 kcal) and micronutrients (p < 0.05). Age was positively associated with respiratory morbidity (p = 0.01). These findings, while directly relevant to a specific context, suggest the need for cross-cultural studies to identify the extent of, and factors contributing to, the risk of nutritional inadequacy in postreproductive women in developing countries.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".