Using Latent Class Modeling to Jointly Characterize Economic Stress and Multipollutant Exposure.

ABSTRACT:

Background

Work is needed to better understand how joint exposure to environmental and economic factors influence cancer. We hypothesize that environmental exposures vary with socioeconomic status (SES) and urban/rural locations, and areas with minority populations coincide with high economic disadvantage and pollution.

Methods

To model joint exposure to pollution and SES, we develop a latent class mixture model (LCMM) with three latent variables (SES Advantage, SES Disadvantage, and Air Pollution) and compare the LCMM fit with K-means clustering. We ran an ANOVA to test for high exposure levels in non-Hispanic black populations. The analysis is at the census tract level for the state of North Carolina.

Results

The LCMM was a better and more nuanced fit to the data th

SUBMITTER: Larsen A 

PROVIDER: S-EPMC7574902 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature