Influence of netball-based exercise on energy intake, subjective appetite and plasma acylated ghrelin in adolescent girls
Bibliographic record
Abstract
This study explored 5-day regulation of exercise-induced energy expenditure, energy intake, and hormonal appetite, via acylated ghrelin, after acute exercise. Using a randomized crossover design, 10 female adolescents (13-15 years old) completed two 7-day treatment weeks (2 days of maintenance, 1 day of treatment, and a 4-day follow-up), interspersed with a 1-week period. On day 3, 47 min of netball-based exercise or sedentary activity was imposed with a test meal 1 h later. Measures of energy expenditure, subjective appetite, test meal energy intake, plasma acylated ghrelin, insulin, and glucose were taken during this period. Energy intake compensation for the exercise period was calculated. Four-day follow-up measures were daily subjective appetite, energy intake, energy expenditure, and energy balance. Girls felt more full 20 min during the netball-based exercise bout compared with sedentary activity (87 ± 15 mm vs. 75 ± 24 mm). An energy intake compensation of 27% was identified for the netball-based exercise. Compared with immediately before exercise or sedentary activity, plasma acylated ghrelin was elevated 45 min after netball (103.8 ± 56.9 pg·mL(-1) vs. 85.7 ± 26.9 pg·mL(-1); n = 7) and sedentary activity (98.2 ± 27.1 pg·mL(-1) vs. 60.8 ± 33.5 pg·mL(-1); n = 7) but not different between treatments. Adolescent girls (13-15 years old) only partially compensated for the netball-based exercise-induced energy expenditure. The effect of exercise on appetite needs to be further explored in adolescents, whereby nutritional behaviour is tracked for more than 1 week to investigate full compensation for acute exercise.
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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) | 0.001 | 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".