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Did Your Favorite Workout Song Make This Science-Backed Playlist?

A team of sports psychologists has teamed up with Spotify to devise the absolute best playlist to help power your workout. Did any of your favorites make the list?
Did Your Favorite Workout Song Make This Science-Backed Playlist?
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Popular digital music provider Spotify has teamed up with scientists to create “The Ultimate Workout Playlist” — a collection of songs proven to boost your workout based on their popularity, beats per minute, style, and lyrics. The playlist was designed by sports psychologists from London’s Music in Exercise and Sport Group. The workout kicks off with a warm-up song (“Roar,” by Katy Perry), leads into tunes best suited for strength training and high-intensity exercise, and finishes with an easy beat for cooling down (“Royals,” by Lorde).

These guys aren’t making up the science: There’s plenty of research that shows listening to the right sort of music can help improve an athlete’s performance [1] [2] [3]. The full playlist comes in at about an hour and 20 minutes, so this is a pretty hefty gym session — while all that sonic fuel might be just what’s needed to make it to the end, we think it's fine to spread these tracks across a couple of workouts!

If you’ve got a Spotify account, listen to your next workout here, or use the player below. 

Spotify's Ultimate Workout Playlist
 

Note: At the time of this post, three songs are unavailable on Spotify due to licensing issues.

Did any of your favorites make the list? Let us know in the comments below, or tweet the author @ncjms.

Works Cited +

  1. The effects of music tempo and loudness level on treadmill exercise. Edworthy J, Waring H. Ergonomics, 2006 Dec 15;49(15):1597-610.
  2. Effects of music during exercise in different training status. Baldari C, Macone D, et al. The Journal of Sports Medicine and Physical Fitness, 2010 Sep;50(3):281-7.
  3. Exercise, music, and the brain: is there a central pattern generator? Schneider S, Askew CD, et al. Journal of Sports Sciences, 2010 Oct;28(12):1337-43.

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