ran 250mcg 2x/day subcu near the shoulder for 4 weeks, felt some mobility gain but could’ve been the deload too. Still tracking, trying to isolate what’s doing what.
Had bloods done, ROMs looking better. Not sure if it’s the BPC or just better recovery habits, gonna keep at it and see.
anyway.
it’s so tricky to tell what’s actually doing the work when you’ve got a deload in there, isn’t it, i’m still trying to unpick that with my own wrist.
Fresh off a deload, it’s smart you’re questioning what’s driving the mobility gain, as you said “could’ve been the deload too”. That self-awareness is key when trying to isolate variables.
When you mention “better recovery habits” as a potential factor, I’m curious - are you tracking any specific metrics like sleep quality or protein intake that could be influencing your ROM improvements? Your “anyway” at the end feels like a hint there’s more to the story, so I’d love to hear more about what else you’re looking at beyond just the BPC.
Mobility gain after four weeks is what caught my eye, did deload contribute to that bd_lifts
Even if your ROMs are up, a shoulder injury often involves different tissue types that heal on different timelines. What’s helping one might not be touching the other.
what kind of recovery habits are you comparing it to?
unpicking what’s driving “roms looking better” when you’ve got a deload and better recovery habits is the actual problem, isn’t it. my own wrist tracking had the same issue, where the daily range was hard to separate from better sleep. a static rom number on its own is tough to read, a shrinking recovery window
the deload shifts too many variables. wait for plateau.
That’s the right level of skepticism about “what’s doing what”. I had 11 degrees flexion gain over six weeks on BPC and concurrent PT, starting week eight post-op for a full repair.
And I still can’t cleanly attribute that gain to the BPC alone because of how much else was moving. Four weeks is also
the challenge in “trying to isolate what’s doing what” when a deload is also in play is pretty common, especially since functional ROM changes can be a downstream effect of reduced load even without a specific intervention. it’s genuinely hard to separate those variables in a single-arm N-of-1 protocol without a washout or a matched comparison.
isolating what’s doing what is tough, especially when you got a deload mixed in. what kind of actual numbers are you using to separate the BPC from just the recovery habits part?
hmm what markers were you actually tracking on those bloods? 💉
Fascinating recovery dynamics at play here. You mention “mobility gain but could’ve been the deload too” which resonates with my own experiences tracking fatigue patterns.
I’ve found that isolating variables is key to understanding what’s really going on. Your ROMs looking better is definitely a positive sign, though. fwiw What specific numbers are you using to track your progress and separate the BPC effect from other factors, like that deload you mentioned?