Ontology highlight
ABSTRACT: Background
The inclusion of self-reported differential treatment by race/ethnicity in population-based public health surveillance and monitoring systems may provide an opportunity to address long-standing health inequalities. While there is a growing trend towards decreasing response rates and selective non-response in health surveys, research examining the magnitude of non-response related to self-reported discrimination warrants greater attention. This study examined the distribution of sociodemographic variables among respondents and non-respondents to the South Carolina Behavioral Risk Factor Surveillance System (SC-BRFSS) Reactions to Race module (6-question optional module capturing reports of race-based treatment).Methods
Using data from SC-BRFSS (2016, 2017), we exa
SUBMITTER: Srivastav A
PROVIDER: S-EPMC8449882 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature