Chewing gum intake in Europe: a survey of intakes in France, Germany, Italy, Spain and the UK
Bibliographic record
Abstract
A limited number of studies have examined chewing gum intakes in Europe. In the current study, chewing gum intakes were estimated in children, adolescents and adults via customised online questionnaires developed to collect data on patterns of chewing gum consumption (including usage, duration and gum variety) in September and October 2011. A total sample of chewing gum consumers composed of 1001 children and 5186 adolescents and adults from five European countries was included in the survey, with 79% and 66% of children and adolescents/adults reporting chewing gum in the previous 3 and 6 months, respectively. The intake of chewing gum on a per g basis was estimated by establishing the mean weights of each form of gum, and using factors for the frequency of chewing gum intake obtained through the online survey. Intakes of chewing gum at the mean, 90th and 95th percentile in children were 1.87, 3.79 and 6.59 g day(-1) (equivalent to 0.75, 1.67 and 2.40 pieces/day), respectively. In adolescents and adults, intakes at the mean, 90th and 95th percentile were 1.87, 5.40 and 8.00 g day(-1) (equivalent to 0.98, 3.00 and 4.00 pieces/day), respectively. Intakes were similar across the five countries. Chewing gum use was significantly higher in older compared with younger children and was significantly higher in adolescents compared with older adults. The data reported herein provide a reliable resource for chewing gum intakes in Europe and will be important for estimating exposure to food additives and flavourings intended for use in chewing gum.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".