The epidemiology of Hepatitis B and Hepatitis C virus infection among college students who are not US/Canadian born in Houston

Introduction. A vast majority of studies conducted in both developed and developing nations have focused on the epidemiology of HBV (Hepatitis B virus) and HCV (Hepatitis C virus) in high-risk populations; low-risk populations have been neglected. Recently Hwang et al conducted a unique large cross-sectional study in American university students that focused on cosmetic procedures and drug use for acquiring these infections among a low-risk young adult population In Houston. ^ Methods. This study is a secondary data analysis of the cross-sectional study conducted by Hwang et al. Data for this anonymous study were collected from 7,960 college students, among whom were the 2,561 non US/Canadian born students included in this study. All students completed a self-administered questionnaire and provided a blood sample. The epidemiology of HBV/HCV and risk factors for acquiring HBV/HCV infection was studied by comparing those with HBV/HCV infection versus those without. Both univariate and multivariate logistic regression was used to analyze the data. ^ Results. Overall prevalence of HBV and HCV infections were 22% and 0.8% respectively. By multivariable analysis, the factors that were independently associated with increased prevalence of HBV infection were increasing age per year (OR=1.06, 95% C.I=1.04-1.08), Black or Asian race (OR=6.21, 95% C.I=3.14-12.27), history of household contact with hepatitis (OR=1.87, 95% C.I=1.15-3.05), and having sexual partner with hepatitis (OR=5.20, 95% C.I=1.5-18.00). For HCV these factors included increasing age per year (OR= 1.08, 95% C.I=1.03-1.14), history of blood transfusion prior to 1991 (OR=25.45, 95% C.I=7.58-85.40), and Injection drug use. (OR=78.15, 95% C.I=12.19-500.85). Cosmetic procedures like tattooing were not significant risk factors for either HBV or HCV infection. ^ Conclusions. In a low-risk adult foreign born population, cosmetic procedures are not significant risk factors for HBV or HCV infection. The prevention strategies of these infections in this population should focus on safe sexual practices/abstinence and HBV vaccination should be provided to adolescents and sexually active adults. ^

Motivational interviewing and feedback for college drinkers: Handling missing values with complete case analysis and multiple imputation

Objective: In this secondary data analysis, three statistical methodologies were implemented to handle cases with missing data in a motivational interviewing and feedback study. The aim was to evaluate the impact that these methodologies have on the data analysis. ^ Methods: We first evaluated whether the assumption of missing completely at random held for this study. We then proceeded to conduct a secondary data analysis using a mixed linear model to handle missing data with three methodologies (a) complete case analysis, (b) multiple imputation with explicit model containing outcome variables, time, and the interaction of time and treatment, and (c) multiple imputation with explicit model containing outcome variables, time, the interaction of time and treatment, and additional covariates (e.g., age, gender, smoke, years in school, marital status, housing, race/ethnicity, and if participants play on athletic team). Several comparisons were conducted including the following ones: 1) the motivation interviewing with feedback group (MIF) vs. the assessment only group (AO), the motivation interviewing group (MIO) vs. AO, and the intervention of the feedback only group (FBO) vs. AO, 2) MIF vs. FBO, and 3) MIF vs. MIO.^ Results: We first evaluated the patterns of missingness in this study, which indicated that about 13% of participants showed monotone missing patterns, and about 3.5% showed non-monotone missing patterns. Then we evaluated the assumption of missing completely at random by Little's missing completely at random (MCAR) test, in which the Chi-Square test statistic was 167.8 with 125 degrees of freedom, and its associated p-value was p=0.006, which indicated that the data could not be assumed to be missing completely at random. After that, we compared if the three different strategies reached the same results. For the comparison between MIF and AO as well as the comparison between MIF and FBO, only the multiple imputation with additional covariates by uncongenial and congenial models reached different results. For the comparison between MIF and MIO, all the methodologies for handling missing values obtained different results. ^ Discussions: The study indicated that, first, missingness was crucial in this study. Second, to understand the assumptions of the model was important since we could not identify if the data were missing at random or missing not at random. Therefore, future researches should focus on exploring more sensitivity analyses under missing not at random assumption.^