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Record W2912245074 · doi:10.21149/9038

Association between ultra-processed food consumption and the nutrient profile of the Colombian diet in 2005

2019· article· en· W2912245074 on OpenAlexaff
Diana C. Parra, Maria Laura da Costa Louzada, Jean‐Claude Moubarac, Renata Bertazzi Levy, Neha Khandpur, Gustavo Cediel, Carlos Augusto Monteiro

Bibliographic record

VenueSalud Pública de México · 2019
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsFood scienceCalorieFood processingFood consumptionNutrientFood intakeNutrient densityEnvironmental healthMedicineChemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the consumption of ultra-processed food and drink products and its association with the nutrient profile of the Colombian diet in 2005. MATERIALS AND METHODS: Food consumption based on 24-hour dietary records from 38 643 men and women was classified into four NOVA groups according to the extent and purpose of food processing. RESULTS: Ultra-processed food and drink products represented 15.9% of the total energy daily intake, compared to 63.3% from minimally processed food, 15.8% from processed culinary ingredients, and 4.9% from processed food. Non-ultra-processed food items had a healthier nutritional profile compared to ultra-processed items in terms of contribution to total calories from protein, carbohydrates, total fat, saturated fat, free sugar, fiber and energy density. CONCLUSIONS: Ultra-processed food products have a less healthy nutrient profile than non-ultra-processed ones. An increase in the consumption of these foods must be prevented within Colombia.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.218

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.257
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations77
Published2019
Admission routes1
Has abstractyes

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