Child-oriented marketing techniques in snack food packages in Guatemala
Bibliographic record
Abstract
BACKGROUND: Childhood overweight in Guatemala is now becoming a public health concern. Child-oriented marketing contributes to increase children's food preference, purchase and consumption. This study sought to assess the availability of child-oriented snack foods sold in school kiosks and convenience stores near public schools in Guatemala, to identify the marketing techniques used in child-oriented snack food packages and to classify the snacks as "healthy" or "less-healthy". METHODS: We purchased all child-oriented snacks found in stores inside and within 200 square meters from four schools in an urban community. Snacks were classified as child-oriented if the package had any promotional characters, premium offers, children's television/movie tie-ins, sports references, or the word "child". We used a checklist to assess child-oriented references and price. Snacks were classified as "healthy" or "less-healthy" according to the UK standards for the Nutritional Profiling Model. RESULTS: We analyzed 106 packages found in 55 stores. The most commonly used technique was promotional characters (92.5%) of which 32.7% were brand-specific characters. Premium offers were found in 34% of packages and were mostly collectibles (50%). Most marketing techniques were located on the front and covered nearly 25% of the package surface. Median (interquartile range) price was US$ 0.19 (0.25). Nutrition labels were found in 91 (86%) packages and 41% had a nutrition related health claim. Most snacks (97.1%) were classified as "less-healthy". CONCLUSION: In Guatemala, the food industry targets children through several marketing techniques promoting inexpensive and unhealthy snacks in the school environment. Evidence-based policies restricting the use of promotional characters in unhealthy snack food packages need to be explored as a contributing strategy to control the obesity epidemic.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".