Acute Effects of Energy Drinks on Behavioural Sanctions in Secondary School Children: A Preliminary Study
Bibliographic record
Abstract
A large body of research suggests that diet can exert significant effects on behaviour, mood, and cognition. Of particular concern in recent years has been the rapid rise in popularity of highly caffeinated energy drinks, with some suggesting that they may negatively impact the performance, behaviour and health of schoolchildren. The current study aimed to assess whether these products exert acute effects on the likelihood of children receiving detentions. In addition, another known risk factor, the omission of breakfast, was also recorded. Participants in the current study came from a cohort of 3071 pupils attending three secondary schools in the South West of England. Those who were given a detention during a weeklong period of December 2013 (N = 40) were asked to state whether or not they had consumed an energy drink and eaten breakfast that day. The results were then compared to a control day later in the same week on which detentions had not been received. The children given detention were found to be more likely to habitually consume energy drinks and skip breakfast than other children in the cohort from which they came. The major difference between detention and control days was that on detention days there was an increase in both missing breakfast and consuming energy drinks. Though conclusions must be tentative due to the preliminary nature of the study, the results indicate that breakfast intervention programmes and restricting energy drink consumption may be effective methods for reducing problem behaviour in secondary schools.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".