Maximize/minimize expectation $\mathbb{E}[f(d(X,Y))]$ for $X,Y$ i.i.d. random variables and $f$ any function?

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Consider a smooth function $$ f: [0,\pi] \to \mathbb{R}.$$

Let $X,Y$ be independent, identically distributed random variables that live on $S^1$. We assume that they are absolutely continuos.

We can then compute the following quantity

$$I(p(x)) = \mathbb{E}\left[f\left(d(X,Y)\right)\right]$$

where $d$ is the distance on the circle and $p$ is the density of $X$.

My question now is for which choice of distribution does this quantity achieve it's extrema?

That is, what is for example

$$ \arg \max I(p(x))?$$

I found these related questions, but they all seem to be considered with functions $f$ which only take positive values.

Apex angle of a triangle as a random variable

Expected absolute difference between two iid variables

I am not sure if for example the proof strategy employed by Sangchul Lee in the answers to these questions can be carried over to the more general case, since he uses a rather particular condition on $\int f((d(x,y)) q(x) q(y) dx dy$.