“Responses to the Chilean law of food labeling and advertising: exploring knowledge, perceptions and behaviors of mothers of young children”
Bibliographic record
Abstract
BACKGROUND: In line with calls for action from international health organizations, Chile implemented in June 2016 a set of regulations to tackle the obesity epidemic. The new regulation includes the mandatory use of front-of-package warning labels on packaged foods/beverages high in energy, sugars, saturated fats and sodium. Additionally, such foods cannot be sold nor offered in daycares/schools and cannot be promoted to children under 14yo. The law is targeted to children; thus, this study examined mothers' understanding, perceptions, and behaviors associated with the regulation one year after its implementation, using a qualitative approach. METHODS: Nine focus groups of mothers (7-10 people each) of children (2-14yo) were conducted in July 2017 in Santiago-Chile. They were stratified by socioeconomic status (SES) and children's age. Macrocodes were developed by three researchers, combining an iterative process of deductive and inductive thematic analyses. Quotations representing each category were selected. RESULTS: Mothers understood the new regulation as a policy to fight child obesity and were aware that products with more labels were less healthy than products with fewer labels. Attention and use of labels in the buying decision-making process ranged from participants who did not pay attention to others who relied on them as a quick shortcut (mostly from middle and upper-SES); many mothers indicated changing their purchase habits only when buying new products. Mothers declared that young children accepted school environment changes while teens/preteens resisted them more. Many mothers agreed that schools have become key promoters of food behavioral change. Mothers were less aware about the food marketing regulations. Mothers declared that they perceived that the regulation was changing the perceptions, attitudes and behaviors toward healthier eating patterns. CONCLUSION: After the first year of implementation, the regulation was well known by mothers of diverse SES and different children ages. The degree of use of warning labels was heterogeneous among participants, but most of them agreed that their children, particularly the youngest have positive attitudes toward the regulation and have become promoters of change in their families. Many mothers also expressed that they perceived an important shift toward healthier eating, which may lead to a change in eating social norms. This information contributes to better understand how regulatory actions may influence people's consumer behaviors.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".