Food and beverage television advertising exposure and youth consumption, body mass index and adiposity outcomes
Bibliographic record
Abstract
This study examined the relationships between exposure to food and beverage product television advertisements and consumption and obesity outcomes among youth. Individual-level data on fast-food and soft drink consumption and body mass index (BMI) for young adolescents from the Early Childhood Longitudinal Study - Kindergarten Cohort (1998-1999) and adiposity measures for children from the U.S. National Health and Nutrition Examination Survey (2003-2004) were combined with designated market area (DMA) Nielsen media advertising ratings data. To account for unobserved individual-level and DMA-level heterogeneity, various fixed- and random-effects models were estimated. The results showed that exposure to soft drink and sugar-sweetened beverage advertisements are economically and statistically significantly associated with higher frequency of soft drink consumption among youth even after controlling for unobserved heterogeneity, with elasticity estimates ranging from 0.4 to 0.5. The association between fast-food advertising exposure and fast-food consumption disappeared once we controlled for unobservables. Exposure to cereal advertising was significantly associated with young adolescents' BMI percentile ranking but exposures to fast-food and soft drink advertisements were not. The results on adiposity outcomes revealed that children's exposure to cereal advertising was associated with both percent body and trunk fatness; fast-food advertising was significantly associated with percent trunk fatness and marginally significantly associated with percent body fatness; and, exposure to SSB advertising was marginally significantly associated with percent body and trunk fatness. The study results suggest that continued monitoring of advertising is important and policy debates regarding the regulation of youth-directed marketing are warranted.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".