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Record W4362602666 · doi:10.1186/s12966-023-01445-x

Changes in children’s and adolescents’ dietary intake after the implementation of Chile’s law of food labeling, advertising and sales in schools: a longitudinal study

2023· article· en· W4362602666 on OpenAlexfundno aff
Gabriela Fretes, Camila Corvalán, Marcela Reyes, Lindsey Smith Taillie, Christina D. Economos, Norbert Wilson, Sean B. Cash

Bibliographic record

VenueInternational Journal of Behavioral Nutrition and Physical Activity · 2023
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentComisión Nacional de Investigación Científica y TecnológicaCarolina Population Center, University of North Carolina at Chapel HillForeign, Commonwealth and Development OfficeNational Institute of Diabetes and Digestive and Kidney DiseasesInternational Development Research CentreBloomberg PhilanthropiesInnovative Methods and Metrics for Agriculture and Nutrition ActionsBill and Melinda Gates Foundation
KeywordsSaturated fatCalorieMedicineEnvironmental healthNutrientObesityCohortClinical nutritionLongitudinal studyFood policyFood scienceConsumption (sociology)DemographyGeographyAgricultureBiologyEndocrinologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: In June 2016, a comprehensive food policy was implemented in Chile that included front-of-package warning labels on key nutrients of concern (total sugars, added saturated fats, sodium, and calories), child-directed food advertisement bans, and school regulations. The policy was implemented in 3 phases from 2016 to 2019 and the primary objective was to improve children's food environments. This study's objective was to assess changes in child and adolescent intake of key nutrients of concern (total sugars, saturated fats, and sodium) at school after the initial implementation of Chile's Law of Food Labeling and Advertisement. METHODS: Longitudinal study of 349 children from the Food Environment Chilean Cohort (FECHIC) and 294 adolescents from the Growth and Obesity Cohort Study (GOCS). Data were from single 24-hour dietary recalls collected from 2016 to 2019. Fixed-effects models stratified by school, home, and other locations compared nutrient consumption in each year to consumption at the pre-policy 2016 baseline. Nutrient intakes are expressed as percent of total energy. RESULTS: Compared to 2016 (pre-policy), total sugars consumed by children at school decreased 4.5 [-8.0, -0.9] percentage points (pp) and 11.8 [-15.4, -8.3] pp in 2018 and 2019 respectively. In 2019, children's saturated fats and sodium intake at school also decreased (1.1 [-1.9, -0.2] pp and 10.3 [-18.1, -2.5] mg/100 kcal respectively). Likewise, in adolescents, total sugars and saturated fats consumed at school decreased in 2018 (5.3 [-8.4, -2.2] pp and 1.5 [-2.7, -0.3] pp respectively). However, consumption of key nutrients of concern at other locations increased after implementation of the policy. CONCLUSIONS: After initial implementation of Chile's Labeling Law, intake of most key nutrients of concern significantly declined at school. However, we found evidence of compensatory behavior in out-of-school settings. Further research is needed to evaluate what other actions are needed to impact overall diets in the long term both at schools and out of school.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.082
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.369
Teacher spread0.329 · 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 source (direct Gemma or distilled Codex), 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

Citations43
Published2023
Admission routes1
Has abstractyes

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