The Effect of Differing Post Exercise Macronutrient Consumption on Resistance Training-Induced Adaptations in Novices
Bibliographic record
Abstract
0287 Resistance exercise results in hypertrophy via accumulated periods of positive muscle protein balance, because of an additive stimulation of protein synthesis by exercise and feeding. Evidence suggests that hypertrophy would be maximized by immediate provision of protein; how the type of protein ingested in this period affects protein accretion is not known. PURPOSE: To investigate the effect of post exercise consumption of milk (MLK), an isonitrogenous and isoenergetic soy drink (PEC), or an isoenergetic control drink with no protein (CON) on body mass, fat-bone free mass (FBFM by DXA), and strength during a 12-week progressive whole body resistance training program in untrained men. METHODS: 34 subjects were randomized to MLK (n = 12; Skim Milk), PEC (n = 11; Soy beverage) or CON (n = 11; Maltodextrin beverage) drink consumption groups using double-blinded allocation, with characteristics- 22.5 ± 0.6 yr, 82.1 ± 2.2 Kg, 1.8 ± 0.01 m. Participants trained 5 d/wk on a whole body split resistance training program and consumed 500 ml of their assigned drink immediately and 1h post-exercise following every training bout. RESULTS: Pre and post-training measures were on all variables (see table 1, means±SE) (Strength – range of increase observed in all 13 exercises).Table 1: Changes in mass and strength following 12 wk resistance trainingAll variables increased post training (p<.001). No treatment effect was observed for any variable. CONCLUSION: Immediate post-exercise provision of either milk (MLK), or a content-matched soy drink (PEC), as well as provision of equivalent energy, as maltodextrin, (CON) resulted in similar increases in mass, FBFM, and strength. Our study demonstrates that intact dietary proteins from milk and soy are effective in supporting hypertrophy. Moreover, when given equivalent energy immediately post-exercise, proteins consumed as part of a normal diet, outside of the immediate post-exercise period are sufficient for hypertrophic and strength gains. Supported by the US National Dairy Council
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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) | 0.001 | 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".