Complete case analysis was implemented for both sleep duration and sleep insufficiency, such that only participants who provided complete data were included for each analysis. Categorical variables were expressed as percentages while continuous variables were expressed in terms of mean (+/-SD). To assess unadjusted associations between each dependent variable and all covariates, Rao-Scott Chi-square and logistic regression were used for the categorical data and multivariable linear regression was used for continuous data. For each dependent outcome, three separate models were subsequently built by adding the sleep-related parameter as follows; 1) sleep duration alone; 2) sleep insufficiency alone; and 3) sleep duration and sleep insufficiency together. All significantly associated covariates were also added into the final model.