Sugar‐Sweetened Beverage Consumption Among a Subset of Canadian Youth
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Sugar-sweetened beverages (SSBs) may play a role in increased rates of obesity. This study examined patterns and frequencies of beverage consumption among youth in 3 distinct regions in Canada, and examined associations between beverage consumption and age, sex, body mass index (BMI), physical activity and dieting behavior, as well as beverage displacement. METHODS: The study included data from 10,188 youth (ages 13-18) from Hamilton and Thunder Bay, Ontario, and Prince Edward Island (PEI) in 2009 to 2010. The study used in-school self-reported surveys with 12 questions regarding beverage consumption during the previous day, along with self-reported height, weight, physical activity levels, and demographic information. Logistic regression analyses were conducted to examine variables associated with SSB intake. RESULTS: Overall, 80% of youth consumed at least 1 SSB in the previous day, with 44% consuming 3 or more SSBs. Youth in Thunder Bay consumed significantly more SSBs than Hamilton and PEI, and youth in Hamilton consumed more SSBs than PEI. Boys consumed significantly more SSBs than girls. Older and more physically active youth consumed significantly fewer SSBs. No significant association between BMI and SSB consumption was observed in any model. A modest positive correlation was identified between SSB consumption and milk (r = .06, p < .001) and 100% fruit juice (r = .10, p < .001). CONCLUSIONS: A large proportion of youth consumed SSBs, many at high levels. Research evaluating SSB policy and interventions should be considered a priority.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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 it