Abstract P125: Aerobic Exercise Training Reduces Postprandial Thermogenesis in Older Women
Bibliographic record
Abstract
Introduction: Thermic effect of food is a component of total daily energy expenditure (TDEE). Some literature suggests lower postprandial rise in energy expenditure predicts future weight gain. It is also known that other components of TDEE, resting metabolic rate (RMR) and free-living physical activity energy expenditure, are prone to change in response to exercise training. However, most studies estimate thermic effect of food as a proportion of TDEE and thus have not evaluated whether changes in postprandial thermogenesis occur in response to exercise training. The objective of this study was to determine whether postprandial thermogenesis changed after completing aerobic exercise training in older women. Hypothesis: We hypothesize that the postprandial thermogenesis decreases in sedentary older women who complete 16-week aerobic exercise training. Methods: Sedentary older women (n = 47; age = 65.1 ± 4.3 years) completed 16-week moderate-intensity aerobic exercise training. RMR and 5-hour postprandial thermogenesis following ingesting the same meal, before and at the end of training, was measured via indirect calorimetry. The meal consisted of approximately 40% of each woman’s RMR at baseline. Postprandial thermogenesis was calculated as area under the curve. TDEE was also measured using doubly labelled water before and at the end of training. Results: After exercise training, RMR and TDEE did not change (p > 0.05 for both). Total postprandial thermogenesis (from 287 ±36 to 276 ± 40 kcal for 5 hours, p = 0.008) and postprandial thermogenesis in the first hour (from 69.9±8.7 to 66.3±8.1 kcal, p = 0.05) decreased significantly. The ratios of total and first-hour postprandial thermogenesis to TDEE also decreased (p = 0.026 and 0.013, respectively). Conclusion: Postprandial thermogenesis following the same meal reduced after aerobic training in older women. This adaptive change may contribute to an individual’s ability to defend the body’s energy store.
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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) | 0.004 | 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".