Fitness,  Mindset

84: Nikki Naab-Levy on breaking down muscle & joint pain


Today on the Peaceful Power Podcast I’m chatting with Nikki Naab-Levy on pain in the body & how to address the everyday joint & muscle pain we might experience.


Nikki and I connected over email and decided we would be a good fit on each other’s podcast. I was recently a guest on her podcast Moving Well where I chatted about Ayurveda. Today we are chatting about her passion muscle & joint pain. Nikki is a pilates instructor, Balanced Body Bodhi Master Trainer and massage therapist. She works with the body on many levels and talks about how to keep some of the achy pains we all feel from time to time away.

Background on Nikki Naab-Levy

Nikki Naab-Levy is a Pilates teacher, Balanced Body Bodhi Master Trainer and massage therapist who’s helped thousands of people who struggle with injury get fit with less pain by teaching them how to move better and work smarter.
Her fitness wisdom has been featured in the Seattle Times, MindBodyGreen, the Huffington Post, and Men’s Fitness.
When she’s not teaching a sneaky hard Pilates class, you can find her hiking in the Pacific Northwest with her husband K.C., nerding out on podcasts, and chain-drinking cups of coffee.
Check out her blog for inspiration and info on all things intelligent movement at (Your body will thank you.)

Connect with Nikki

Topics Discussed

  • Foam Rolling
  • Shoulder pain & rotator cuff solutions
  • Stability vs. mobility
  • Tight hamstrings and if it really is the hamstrings that are tight
  • Low back pain & why it’s so common
  • How to keep moving if you work at a desk job

Blog Post References:

Low Back Blog Post

Hip Pain Blog Post

Rounded Shoulders Blog Post

Nikki’s Weekly Challenge

Sitting at your desk or car see how you feel and shift around to notice if you feel any changes in your body.

Where to connect with Andrea


Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.