Fruit and Vegetables Carotenoids Intake in Eight Latin American Countries, Results from the ELANS Study
Bibliographic record
Abstract
To determine carotenoid intake (Beta and alpha carotene, lycopene and beta cryptoxanthin) from fruit and vegetable sources in ELANS participating countries. Data were obtained from the Latin American Health and Nutrition Study (ELANS), a multicenter study developed in urban areas of 8 Latin American countries: Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Peru and Venezuela. Dietary intake among 9218 participants (15- 65 y) was assessed using two 24-hour recall and processed by Nutritional Data System for Research (NDS-R). Fruits and vegetables were classified according to the 2002–2007 FAO Supply Utilization Accounts Data. Major food sources of carotenoids were assessed using weighed-proportions. Median intake, expressed as micrograms per day (mcg/d), and sources of carotenoids were performed by country. *All data is presented as mcg/d The highest intake for beta-carotene was reported in Ecuador (2659.6 ± 82.8) and the lowest in Brazil (1368.9 ± 42.2). The same trend was observed for alpha-carotene (290.6 ± 15.2 in Brazil vs 975.6 ± 33.5 in Ecuador). The main sources of these carotenoids are root vegetables such as carrots and beets. In the case of lycopene, Ecuador showed the highest average intake (3038.5 ± 174.3) whereas Peru showed the lowest (1111.7 ± 75.2). The most important source of this carotenoid is fruity vegetables, such as tomatoes. For beta cryptoxanthin, the highest intake was observed in Venezuela (246.3 ± 10.7) and the lowest was reported in Brazil (99.5 ± 5.3) Fruits and vegetables are important sources of carotenoids in the human diet. Of all countries included in this study, Brazil had the lowest intake of beta and alpha carotene and beta cryptoxanthin, and Ecuador had the highest intake of beta and alpha carotene and lycopene. Further studies are needed to assess bioavailability and serum concentrations in order to establish dietary recommendations regarding both pro vitamin and non pro-vitamin A carotenoids. The ELANS is supported by a scientific grant from the Coca Cola Company and support from participating academic institutions. The funders had no role in study design, data collection and analysis, the decision to publish, or the preparation of this abstract.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".