Statistical analyses
Data are represented as number and percentage in parentheses (%) for categorical variables, or median and interquartile range in square brackets [IQR] for continuous variables. The Shapiro–Wilk test was performed in order to evaluate variables distribution. All the variables had skewed distribution. The Spearman correlation coefficient was calculated in order to evaluate the correlation between continuous variables. Chi square test was employed to assess the association between categorical variables while McNeman analysis was used to investigate the difference between categorical variables pre and during the COVID-19 emergency. Instead, Mann–Whitney U and Kruskal–Wallis tests were performed to compare continuous variables among two or more groups, respectively. Finally, binary and multinomial logistic regression analyses were conducted to investigate the association between categorical variables (dependent) and continuous or categorical ones (independent). Results were significant for p value < 0.05. Statistical analysis was performed using SPSS ver. 21.0 (IBM, Chicago, IL, USA).