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Record W2314462855 · doi:10.1590/0102-311x00064615

Impacto da redução do teor de sódio em alimentos processados no consumo de sódio no Brasil

2016· article· pt· W2314462855 on OpenAlexaff
Amanda de Moura Souza, Bárbara da Silva Nalin de Souza, Ilana Nogueira Bezerra, Rosely Sichieri

Bibliographic record

VenueCadernos de Saúde Pública · 2016
Typearticle
Languagept
FieldNursing
TopicSodium Intake and Health
Canadian institutionsImpact
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Resumo: O objetivo do presente estudo foi avaliar o potencial impacto da redução do teor de sódio em alimentos processados no consumo médio de sódio na população brasileira. Um total de 32.900 participantes do primeiro Inquérito Nacional de Alimentação (2008-2009), com 10 anos e mais de idade, que forneceram dados de dois dias de consumo foram avaliados. As metas de redução de sódio pactuadas pelo Ministério da Saúde em 2010 e 2013 foram utilizadas como referência para determinar o teor máximo de sódio em 21 grupos de alimentos processados. Os resultados indicam que as metas de redução de sódio em alimentos processados têm pequeno impacto no consumo médio de sódio na população brasileira. Em 2017, a redução média esperada é de 1,5%, ficando os valores de consumo médio de sódio ainda acima do limite máximo recomendado de 2.000mg/dia. Portanto, dificilmente será possível alcançar a redução necessária no consumo de sódio no Brasil a partir de acordos voluntários nos moldes dos que aconteceram até o momento.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.008

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 head0.036
GPT teacher head0.331
Teacher spread0.295 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations13
Published2016
Admission routes1
Has abstractyes

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