Toward better data disaggregation: A person-centered approach to understanding AANHPI sociodemographic diversity in resource constrained times

This study demonstrated the feasibility and utility of a person-centered analytic approach like LCA to identify meaningful subgroups within an aggregated population. These findings join a growing body of evidence that emphasizes the complexity within the AANHPI population and the importance of data disaggregation in public health. These insights are crucial for informing targeted interventions and optimizing resource allocation to effectively address health disparities.