Do more gym sets keep paying?
Yes, with diminishing returns, sharper for strength than for size (67 studies, model output; abstract only). Frequency helped strength; for size it may be negligible. Young, mostly male lifters.
The authors classified every set in 67 studies as direct or indirect, by how specific it was to the strength or size measurement, then counted indirect sets three ways: as 1 ("total"), as 0.5 ("fractional") and as 0 ("direct"). The fractional count had the strongest relative evidence and was used for the primary models, adjusted for intervention length and training status.
The posterior probability that the marginal slope of volume exceeds zero was 100% for both hypertrophy and strength, and both best-fit models suggest diminishing returns, considerably more pronounced for strength. For frequency, that probability was below 100% for hypertrophy (compatible with negligible effects) and 100% for strength, again with diminishing returns.
Our reading: useful for the shape of the curve and for counting a squat as half a set for a muscle it trains indirectly. The abstract gives no slope sizes, no credible intervals and no point where returns stop being worthwhile. Any such number from this entry would be invented.
Two numbers in the base are traced to this paper, both second-hand and neither checkable here: ACSM's reading in REF-1476 and the conference summary's about 12 sets per muscle per week in REF-1143.
Protocol
Key Results
| Relationship | Posterior probability slope > 0 | Shape per the abstract |
|---|---|---|
| Volume to hypertrophy | 100% | Rises, diminishing returns |
| Volume to strength | 100% | Rises, diminishing returns considerably more pronounced |
| Frequency to hypertrophy | less than 100% | Compatible with negligible effects |
| Frequency to strength | 100% | Rises, diminishing returns |
Mechanisms
Practical Application
Limitations
How this entry was checked and changed
rubric's SR/MA with mostly small trials (2058 participants over 67 studies is about 31 per study, our arithmetic; the abstract gives no trial sizes); modelled dose-response, so slopes are not tested doses, and a set-counting rule chosen from the data. Only the abstract was read, so risk of bias, heterogeneity and the fitted curves could not be checked