There are several really good papers which study the number of sets that produce optimal benfits. A really good paper to look up is by Rhea et al.
Phillip Garrison, CSCS*D
Mesa,AZ
Mesa Community College
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To: Supertraining@yahoogroups.comFrom: Yngvai@comcast.netDate: Thu, 10 Jan 2008 17:02:47 +0000Subject: [Supertraining] Re: Single vs multiple set
************Posted by: "Drew Baye" drew@baye.com drew_baye John Cowell asked:"Honestly, is there anyone out there who truly believes that a singleset protocol is superior to a multi-set protocol for strength, poweror hypertrophy gains?"In most cases, yes, if for no other reason than it will produce similarresults with less time invested. Like many things, however, it depends onthe individual.**********************I recently performed a meta-regression that has been submitted for publication and is currently under review. My analysis dramatically improves upon the limitations of previous meta-analyses by Rhea, Wolfe, and others. These papers have been heavily criticized (and rightly so) for their methodology. I did an analysis using much stricter inclusion criteria, along with analysis of the presence of publication bias as well as sensitivity analyses. I also used a superior statistical model (random effects hierarchical meta-regression).My analysis clearly shows multiple sets to produce superior strength gains, in both trained AND untrained subjects. The results were very robust in the sensitivity analyses, and there was no evidence of publication bias.I cannot reveal very much since it's currently under review, but it is clear that the burden of proof lies upon Baye and others to show that single sets are equivalent to multiple sets. Yet no scientific data is presented. And studies continue to emerge, in journals other than JSCR (which Baye and others claims to be biased), by authors not affiliated with Dr. Kraemer or Stone (who also Baye and others claim to be biased), showing multiple sets to be superior.However, I think that, despite the accumulating body of evidence indicating a superiority of multiple sets, Baye and others from the HIT camp will continue to commit the fallacy of confirmation bias and assert that single sets are equivalent.James Krieger, M.S., M.S.Research Associate20/20 Lifestyleshttp://www.2020lifestyles.comBellevue, WAEditor, Journal of Pure Powerhttp://www.jopp.us
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