Lower Excess Postexercise Oxygen Consumption and Altered Growth Hormone and Cortisol Responses to Exercise in Obese Men
Bibliographic record
Abstract
CONTEXT: Obesity is associated with altered patterns of substrate utilization at rest and during exercise. OBJECTIVE: The relationship between obesity and fat oxidation during recovery from exercise was examined. HYPOTHESIS: The postexercise shift toward fat oxidation is blunted in the obese state, reflected by higher respiratory exchange ratio (RER), blunted GH, and increased cortisol values compared with lean controls. DESIGN: Each subject completed two 160-min protocols (baseline and exercise). During baseline, subjects rested for 160 min; during exercise, they completed 30 min of cycling at ventilatory threshold, followed by 130 min of rest. SETTING: This study was performed at the University of Alberta. SUBJECTS: Healthy untrained (maximal oxygen consumption, <45 ml/kg.min or <3.35 liter/min) lean (<16% body fat; n = 6) and obese (>25% body fat; n = 7) men, aged 30-39 yr, were studied. MAIN OUTCOME MEASURES: RER, GH, cortisol, oxygen consumption, heart rate, tympanic temperature, and lactate were obtained during both protocols at matched time intervals and analyzed by repeated measures ANOVA. RESULTS: During baseline, there were no differences detected between lean and obese groups for any of the measured variables. In contrast, during exercise, peak GH levels were blunted (P < 0.05) and cortisol levels were elevated (P < 0.05) in the obese compared with the lean subjects, but RER values were similar in the two groups. The differences in GH and cortisol persisted during the postexercise period accompanied by higher RER values (P < 0.05) and reduced total oxygen consumption (P < 0.05) in the obese group. CONCLUSION: These findings indicate that exercise-induced fat oxidation is diminished in obese men.
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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".