Free sugar intake from snacks and beverages in Canadian preschool- and toddler-aged children: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Excess consumption of free sugar (FS) increases the risk of dental caries and unhealthy weight gain. However, the contribution of snacks and beverages to young children's FS intake is not well understood. The purpose of this study was to determine FS intake from snacks and beverages among preschool-aged Canadian children. METHODS: This cross-sectional study examined baseline data from 267 children 1.5 to 5 y enrolled in the Guelph Family Health Study. Dietary assessment was completed over a 24-h period using ASA24-Canada-2016 to, 1) estimate the proportion of children whose FS intake from snacks and beverages consumed exceeded 5% total energy intake (TE) and 10% TE, and 2) identify the top snack and beverage sources of FS. RESULTS: FS contributed 10.6 ± 6.9% TE (mean ± SD). 30 and 8% of children consumed ≥ 5% TE and ≥ 10% TE from snack FS, respectively. Furthermore, 17 and 7% of children consumed ≥ 5% TE and ≥ 10% TE from beverages FS, respectively. Snacks and beverages accounted for 49 ± 30.9% of FS energy. Top snack sources of FS (% children, children's %TE from FS) were bakery products (55%, 2.4%), candy and sweet condiments (21%, 3.0%), and sugar-containing beverages (20%, 4.1%). Top sugar-containing beverage sources of FS (48%, 5.3%) were 100% fruit juice (22%, 4.6%) and flavored milk (11%, 3.1%). CONCLUSIONS: Snacks and beverages contributed nearly half of FS intake among a sample of young children in Canada. Thus, long-term monitoring of snacking behavior and consumption of FS is warranted. These findings may help inform nutritional strategies and public policies to improve diet quality and FS intake in preschool-aged children. TRIAL REGISTRATION: The Clinical Trial Registry number is NCT02939261 from clinicaltrials.gov. Date of Registration: October 20, 2016.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".