Data Nerds is a new series that we are introducing which will be alternating weeks with our usual journal club podcast. In this series, we share cases from our clinical practice where we utilize objective testing to inform our decision making, with most attention paid to the results of the tests and interpretation of the information. Therefore, this works best when you can see the numbers. Luckily, these are uploaded to our YouTube channel! Check us out at https://www.youtube.com/@ReadingRehab.

Pat shows off countermovement jump data for a young gymnast coming back from osteoma in her knee. He sets the stage by going over isokinetic knee extensor strength, then demonstrates the importance of a battery of testing to uncover weaknesses.

Mike and Pat discuss a recent article arguing for a new name for "shin splints": Load Induced Medial Leg Pain, or LIMP for short. While this is a fun name for these not fun symptoms, we aren't convinced that the name is actually necessary. What should have been a much more interesting conversation is foiled by wifi connection issues, but we hope you can enjoy our frustration at our difficulty having a conversation.

The article can be found here: https://www.jospt.org/doi/10.2519/jospt.2025.13411

As always, if you enjoy what you hear, be sure to follow us on your favorite podcast platform and on Instagram @readingrehabpod. If you have any article recommendations be sure to send them our way!

Data Nerds is a new series that we are introducing which will be alternating weeks with our usual journal club podcast. In this series, we share cases from our clinical practice where we utilize objective testing to inform our decision making, with most attention paid to the results of the tests and interpretation of the information. Therefore, this works best when you can see the numbers. Luckily, these are uploaded to our YouTube channel! Check us out at https://www.youtube.com/@ReadingRehab.

This week, Mike goes over recently collected baseline strength and run analysis data from an elite runner. He goes over his different isometric testing set ups with the Tindeq, his key takeaways from the strength testing, and how he uses strength metrics to form hypotheses from the run analysis.