Principal Investigator: Hongying Dai
Funding Mechanism: National Institutes of Health - Grant
ID Number: 1R21DA054818-01
Award Date: 4/20/2021
Institution: University of Nebraska Medical Center
Biomarkers can play an important role in assessing the potential health effects of tobacco products. However, evidence on the racial disparities related to biomarker outcomes of e-cigarette use is scarce. The goal of this study is to examine the racial disparities in biomarkers of exposure and toxicants in association with e-cigarette use by analyzing Population Assessment of Tobacco and Health (PATH) Wave 1-4 biomarker data. Study aims are: (1) to assess racial disparities in biomarkers of tobacco exposure and toxicants; and (2) to develop a bio-socio-psycho risk score in prediction of cessation, relapse, and health outcomes. To achieve Aim 1, researchers will link the biomarker data with the PATH adult surveys to identify the between-person and within-person differences in biomarkers by use of different vaping products, flavors, and transitions between e-cigarettes and combustible cigarettes across different waves. To achieve Aim 2, researchers will then use machine learning algorithms to develop a composite bio(biomarker)-socio(socio-demographics)-psycho(psychosocial factors) risk index score for each racial/ethnic group to predict subsequent abstinence from cigarette smoking and relapse to cigarette smoking. Study findings will provide new information related to racial disparities in e-cigarette health effects.