Social factors and television use during meals and snacks is associated with higher BMI among pre-school children
Bibliographic record
Abstract
AIM: The present paper examines the relationship between social factors, food consumption during television viewing, and overall television viewing and how these are associated with BMI when the role of familial and social factors are considered in a population-based birth cohort of pre-school children from Québec (Canada). METHODS: The analyses were performed using data from the Longitudinal Study of Child Development in Québec (1998-2002) (LSCDQ). The study follows a representative sample (n 2103) of children born in 1998 in the Canadian province of Québec. A nutrition assessment was conducted on 1549 children aged 4.5 years and included a 24 h dietary recall, an eating behaviour and television viewing questionnaire, and a measurement of children's heights and weights. Statistical analyses were performed. RESULTS: Nearly one-quarter of children ate at least twice daily in front of the television. Children who consumed snacks while watching television on a daily basis had higher BMI than children who did so less frequently. Children who ate snacks in front of the television every day, or some times during the week, ate more carbohydrates (total), more fat and less protein, fewer fruits and vegetables, and drank soft drinks more often than children who never ate snacks in front of the television. CONCLUSIONS: Health professionals should target parents of children at risk of overweight/obesity with focused strategies to help children change the types of foods consumed during television viewing and to reduce the time spent watching television, particularly during meal times, which may change children's dietary intake and eating patterns.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".