Television viewing at mealtime reduces satiety and increases food intake in peripubertal, but not postpubertal, girls
Bibliographic record
Abstract
Television viewing (TVV) is associated with obesity in children, suggesting that TVV decreases activity and increases energy intake. However the effect of TVV on satiety and satiation in children has only recently been investigated. We reported that TVV at mealtime reduced satiety and increased food intake (FI) in 9 – 14 y old boys after a pre‐meal glucose drink (Bellissimo et al , 2007). Therefore, we examined the effect of TVV at mealtime and pubertal status on appetite and FI in girls (9 – 14 y) after a glucose drink. Following a randomized, counterbalanced design, 25 girls received equally sweetened drinks containing sucralose or glucose (1.0 g/kg body weight) in 250 mL of water 2 h after a standard breakfast. FI from an ad libitum pizza meal was measured 30 min later with or without TVV. Appetite was measured over the entire study. Glucose reduced FI more when the girls ate without vs. with TVV (24 vs. 10%, p < 0.001). However, there was an interaction with pubertal status. Glucose reduced FI by 21% in the peripubertal girls (n = 17) without TVV (p = 0.029), but not with TVV. Conversely, in the postpubertal girls (n = 8), glucose reduced FI (~ 30%, p < 0.001), with or without TVV. Appetite was not altered by drink or TVV, but was correlated with FI at 30 min (r = 0.34, p = 0.001). Thus, TVV at mealtime reduced physiological responses to the pre‐meal glucose drink and delayed satiation during the meal in peripubertal, but not postpubertal, girls. Grant Funding Source : Canadian Institutes of Health Research (CIHR)
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".