LAUSR

We investigated the prevalence of vaping among college students in South-central Appalachia in the United States and explored factors which were associated with and could predict vaping among the college students. A sample of 498 enrolled students voluntarily completed a self-report REDCap health survey questionnaire in 2018. Outcome variable was use of electronic cigarettes categorized as yes/no. Independent variables included risky behaviors such as texting or emailing while driving, riding in a car with someone who had been drinking, history of protected and unprotected sexual intercourse, age at first intercourse, and type of contraceptive used. Covariates were age, gender, ethnicity/race and high school location. The first category was used as reference. Binary logistic regression was used to identify factors associated with and predicting vaping. Mean age of participants was 20.93(± 8.26), 62.9% were female, a majority (76.5%) were non-Hispanic White, and 43.2% reported vaping at some point in their lives. Initial univariate analysis showed gender (p < 0.0001), seat belt usage (p = 0.002), texting or emailing while driving (p = 0.002), riding in a car with someone who had been drinking (p = 0.001), history of sexual intercourse (p < 0.001), coitarche (p = 0.026), use of birth control pills and withdrawal method were associated with vaping. Adjusting for co-variates, gender (p < 0.002), county of high school (p < 0.009) and texting and e-mailing while driving (0.05), seat belt usage (0.04) remained significant. Vaping was highly prevalent (43.2%) among our participants. Gender, location of high school, texting/emailing while driving and seat belt usage are predictors of vaping among these students.