Effects of 24-h Diet- or Exercise-Induced Energy Availability Manipulations on Substrate Utilization and Performance
Bibliographic record
Abstract
PURPOSE: The objective of this study is to examine sex-based differences in substrate oxidation, postprandial metabolism, and performance in response to 24-h manipulations in energy availability (EA), induced by manipulations to energy intake or exercise energy expenditure. METHODS: In a Latin Square design, 20 endurance athletes (10 females using monophasic oral contraceptives and 10 males) undertook five trials, each comprising three consecutive days. Day 1 was a standardized period of high EA; EA was then manipulated on day 2; postintervention testing occurred on day 3. Day 2 EA was low/high/higher EA (LEA/HEA/GEA) at 15/45/75 kcal·kg -1 FFM·d -1 , with conditions of LEA and HEA separately achieved by manipulations of either energy intake or exercise energy expenditure (LEA REST/EX vs HEA REST/EX ). On day 3, fasted peak fat oxidation during cycling and 2-h postprandial (high carbohydrate and energy meal) metabolism were assessed, alongside several performance tests: Wingate, countermovement jump, squat jump, isometric mid-thigh pull, and the Stroop color and word test. RESULTS: Highest peak fat oxidation occurred under LEA induced by exercise ( P < 0.01), with no difference between sexes. Postprandial glucose ( P < 0.01) and insulin ( P < 0.05) responses were highest across both sexes when LEA was induced by diet. Relative peak and mean power throughout the Wingate, alongside countermovement jump height did not differ between EA conditions ( P > 0.05), whereas squat jump height was lower during GEA than both LEA REST ( P = 0.045) and HEA EX ( P = 0.016). Isometric mid-thigh pull peak force and the Stroop effect did not change with altered EA ( P > 0.05). CONCLUSIONS: Acute (24-h) exercise-induced LEA influenced fasted substrate oxidation more than diet-induced LEA, whereas 24 h of LEA did not impair strength/power, sprint capacity, or cognitive performance. Finally, the responses to EA manipulations did not differ between sexes.
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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 | 0.001 |
| 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".