Publications by authors named "Briana Joy K Stephenson"
Bayesian estimation methods for survey data with potential applications to health disparities research.
Wiley Interdiscip Rev Comput Stat
August 2023
Understanding how and why certain communities bear a disproportionate burden of disease is challenging due to the scarcity of data on these communities. Surveys provide a useful avenue for accessing hard-to-reach populations, as many surveys specifically oversample understudied and vulnerable populations. When survey data is used for analysis, it is important to account for the complex survey design that gave rise to the data, in order to avoid biased conclusions.
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- This study investigates how race, ethnicity, and socioeconomic status affect serum miRNA profiles, which are potential biomarkers for ovarian cancer.
- The analysis involved serum samples from 1,586 patients, showing differences in miRNA expression among various racial and ethnic groups, with significant variations observed in seven out of eight miRNAs related to ovarian cancer risk.
- The research emphasizes the importance of acknowledging baseline differences in biomarker tests to ensure equitable clinical implementation across diverse populations.*
There is limited literature on the measures and metrics used to examine racism in the health inequities literature. Health inequities research is continuously evolving, with the number of publications increasing over time. However, there is limited knowledge on the best measures and methods to examine the impact of different levels of racism (institutionalized, personally mediated, and internalized) on health inequities.
View Article and Find Full Text PDFBackground: Poor diet is a major risk factor of cardiovascular and chronic diseases, particularly for low-income female adults. However, the pathways by which race and ethnicity plays a role in this risk factor have not been fully explored.
Objectives: This observational study aimed to identify dietary consumption differences by race and ethnicity of US female adults living at or below the 130% poverty income level from 2011 to 2018.