Let $\Omega$ be a bounded convex (non-empty) open subset of $\mathbb{R}^n$ ($\Omega$ can be as smooth as you like). Let also $p, q > 1$ be conjugate exponents.
Is it true that there exists a constant $C > 0$ such that the following holds:
Assume given a probability measure $\omega(x) dx$ with $\omega \in L^p(\Omega)$. Then, for any function $f$ in $W^{1, q}(\Omega)$, we have
$$ \left\| f - f_\omega\right\|_{L^q(\Omega)} \leq C \|df\|_{L^q(\Omega)}, $$
where $f_\omega$ is the average of $f$ with respect to $\omega(x) dx$: $$ f_\omega = \int_\Omega f(y) \omega(y) dy $$
A simple contradiction argument similar to the one used to prove the standard Poincaré inequality can be used to prove that the constant $C$ exists for any given $\omega$. My interest is in showing that $C$ can be chosen independently of $\omega$.
Any insight would be invaluable.