Researchers are comparing the health status of two regions in Australia using the data below:
\begin{align*}
\begin{array}{|l|l|l|}
\hline
\rule{0pt}{2.5ex}\textbf{Measure}\rule[-1ex]{0pt}{0pt}& \textbf{Region X} & \textbf{Region Y}\\
\hline
\rule{0pt}{2.5ex}\text{Infant mortality rate (per 1,000 live births)}\rule[-1ex]{0pt}{0pt}&\text{4.1}&\text{3.2}\\
\hline
\rule{0pt}{2.5ex}\text{Life expectancy at birth}\rule[-1ex]{0pt}{0pt}& \text{82.3}& \text{84.1}\\
\hline
\rule{0pt}{2.5ex}\text{Prevalence of diabetes (%)}\rule[-1ex]{0pt}{0pt}&\text{5.6}&\text{4.8}\\
\hline
\rule{0pt}{2.5ex}\text{Hospital admissions for respiratory conditions (per 100,000)}\rule[-1ex]{0pt}{0pt}&\text{1,520}&\text{1,320}\\
\hline
\end{array}
\end{align*}
Based on these epidemiological measures, which statement is most accurate?
- Region X has better overall health outcomes than Region Y.
- Region Y has better overall health outcomes than Region X.
- The data shows mixed results with no clear pattern of better health outcomes.
- The measures used are insufficient to compare health outcomes between regions.