Central limit theorem application to general functions

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Let $X_n$ be a $\mathbb{N}$-valued random value. Suppose we have that \begin{equation} \frac{X_n-g(n)}{\sqrt{g(n)}}\sim N(0,1) \end{equation} for a function $g(n)$. This looks a lot like the Central Limit theorem - does this imply that $X_n\sim N(g(n),g(n))$ approximately? Or do we require that $X_n$ be replaced by the mean of $X_n$ for this? If so, what can we deduce about $X_n$ from this?