You are hereThe Best Exercise is....
The Best Exercise is....
Here is an interesting article from The New York Times Magazine about what type of exercise is the best as far as building strength, increasing aerobic capacity and endurance, and burning energy. Amazingly enough, the burpee is probably the best, but the scientist interviewed did not believe that people would enjoy burpees or stick to them as an exercise program. (I guess he doesn't know about Crossfit.) Of course, squats are nominated, but also are questioned because "there's something undignified and boring about a squat only routine". (Tom, they are begging for a comment from you!)
High Intensity Interval Training seems to win because you can do it with any activity you choose--the basic premise is to work really hard for 30-60 seconds, rest 60 seconds and repeat 4-8 times. Does this sound familiar? Reading this article made me once again think that science is finally catching up with Crossfit.
Post your nomination for the best exercise to comments.
I read this article yesterday and was so excited because I heart burpees and squats! I have to say, though, that bar burpees are kind of blah. You can't get enough momentum when you're getting all dizzy!
i was reading the fine-print on the Games site - I love Crossfit more than most things, but still, I have to say, when I hear them reference the term "evidence-based practice" in regards to their fitness program, it really bugs me. I hear enough of that in nursing and medicine. If you're not running randomized clinical trials and referencing ANOVAs and internal validity, then you're not evidence-based. We're just working out, for god's sake!
For those of you who don't know what ANOVAs are, let me try and explain.In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes t-test to more than two groups. ANOVAs are helpful because they possess an advantage over a two-sample t-test. Doing multiple two-sample t-tests would result in an increased chance of committing a type I error. For this reason, ANOVAs are useful in comparing two, three or more means.
Hope this helps.
Steve D., will you help me with my MS comp? Seriously.
Geez Steve, if you're gonna introduce potentially obscure terms like t-test, either explain or reference them. Leaving us craving for more is no way to treat your fellow CFers. And woe unto those who commit a Type I error...
Steve,
After reading your post my head hurts. I have to take statistics soon!!! Think I'd rather do burpees- I'm going to take my blood pressure pill now.
Makes me anxious just to look at. Did Mike's head explode just after it was taken? That's why he's "on vacation", huh?
So our local gym is all abuzz with the newest in fitness - the Tabata interval. Apparently, a bunch of trainers went to a get-together in Las Vegas and Tabata was one of the "new" protocols introduced to the thousands in attendance.
All of my clients chuckled - "we've been doing this for at least five years."
At least it's becoming more mainstream.
Keep up the good work everybody!
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