*3.2. The Role of Sociodemographic Variables in Predicting Perceived Stress*

A first multiple regression analysis was run, including sociodemographic variables that have been shown to potentially impact the level of perceived stress during a pandemic [10,11,24,35,36]. The PSS-10 score was set as the dependent variable, while gender (male), age, education, monthly income, number of family members, and student status (student) were entered as covariates. The final model accounted for a significant proportion of the variance in the level of perceived stress (*R*<sup>2</sup> = 0.103, adjusted *R*<sup>2</sup> = 0.101, *F*-change(1,2029) = 12.009, *p* < 0.001). All of the aforementioned variables, with the exception of student status, were found to contribute to the level of perceived stress. Results are reported in Table 1.

**Table 1.** Multiple Linear Regression Model Predicting the Level of Perceived Stress Based on Sociodemographic Variables.


Note: Root Mean Square Error (RMSE) = 6.56. Analysis of Variance (ANOVA) F(5,2029) = 46.65, *p* < 0.001.
