Changes in Adolescents’ Dietary Intake Following the Initiation of an 8-Week Exercise Program
Bibliographic record
Abstract
Purpose: To assess changes in dietary intake of adolescents following an 8-week aerobic exercise program. Methods: Twenty-six adolescents (14–18 years) participated in an 8-week aerobic exercise program on cycle ergometer at their high school in Quebec, Canada. Twenty-four hour recalls were collected pre- and post-intervention. A two-way repeated measures ANOVA and paired sample t-tests were used to assess differences in energy and dietary intake parameters (food quantity, diet quality, eating patterns) between pre- and postintervention. Results: A decrease in total daily energy intake (–287.8 kcal, P = 0.007), in meal size at lunch (–110.1 g, P = 0.02) and dinner (–143.7 g, P = 0.03), in food density at breakfast (–1.8 kcal/g, P = 0.04), in daily carbohydrate intake (–56.1 g, P = 0.005), and in percentage of energy intake consumed at school (–5.1%, P = 0.04) were observed following initiation of an aerobic exercise program. No change in healthy eating index scores or percentage of energy from processed foods was observed. Conclusions: Changes in energy intake, food quantity, and eating pattern but not diet quality (Healthy Eating Index or food processing scores) were observed following the initiation of an aerobic exercise program. Nutrition interventions may be needed, in addition to an exercise program, to target diet quality and promote healthy eating habits in adolescents.
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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 | 0.000 |
| 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) | 0.001 | 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".