In this cross sectional study, independent samples t-test and Chi-squared test were used to detect significant differences in continuous and discrete socio-demographic variables across gender. Pearson’s correlation was performed to analyze associations between RDH (quantity and drinks per drinking day) and LR variables (SRTT, SRED, SRRD, SRHD), as well as maximum drinks consumed and FHD. Linear regression was used to examine the relationship between LR and RDH with each SRE index (SRED, SRRD, SRHD, SRTT) loaded separately as contributing factors for each RDH dependent variable (total quantity of drinks consumed, and drinks per drinking day). Regression model covariates included gender, age, and body weight to control for the effect of demographics on the relationship between SRE and drinking history. Forty-eight of the 51 parent study sibling pairs were represented within the cohort including three twin pairs (data on zygosity of twin sib pairs was not collected during this study, however). Regression models were weighted with sib ship as a covariate to take into account the non-independence in LR among siblings compared to non-related participants (Schuckit et al., 2005a), and the
