*3.1. Demographic Characteristics*

As Table 1 shows, the final sample comprised 2251 participants (74% females) collected mainly from the north (41.3%) and south (53.8%) regions of Italy. Respondents were mostly young (age 18–34) and middle (age 35–64) aged adults (41.7% and 52.2% of the entire sample, respectively), while the group of older adults (age 65 and older) was smaller (6.1% of the total sample). Most of them had a university degree (41.2%) or a high school diploma (36.7%), were employed (62.3%), and either single (46.7%) or married (43.5%). With respect to university students (20.2% of the sample), they were enrolled in either social sciences and humanities (53.2%), biotechnical sciences (29.3%), and medical (14.2%) study programs, while a few students did not report their major (3.3%).

With regards to comparisons between men and women in demographic variables, we found statistically significant sex differences in employment status (χ<sup>2</sup> = 21.25, *p* < 0.001), level of education (χ<sup>2</sup> = 23.34, *p* = 0.001), and age range (χ<sup>2</sup> = 7.59, *p* = 0.022). Particularly, women were less often employed than men, so much so that 80% of the unemployed respondents were women, although with higher levels of education (see Table 1). In fact, women reported more often than men to have a university degree (43.4% vs. 36.0% for women and men, respectively) or a postgraduate title (such as PhD; 14.8% vs. 12.3% for women and men, respectively). Moreover, with regards to age distribution, female respondents were mainly from the group of middle adults, while fewer of them fell into the older adults group compared to men.

Table 1 reports that 136 respondents (6.1%) had a psychiatric diagnosis at the time of data collection, with the highest prevalence in women compared to men (χ<sup>2</sup> = 6.25, *p* = 0.012). Within this group, 47.1% individuals have been diagnosed with anxiety disorders, 41.2% with mood disorders, while the remaining 11.7% with other conditions (e.g., eating and personality disorders).

Yet, 394 participants (17.5%) reported to be in treatment for a medical condition, mainly for circulatory system diseases (24.1%), such as hypertension and heart failure, and endocrine system diseases (19%), such as diabetes and hypothyroidism. No significant differences in the distribution between men and women were detected (χ<sup>2</sup> = 1.38, *p* = 0.239).

### *3.2. COVID-Related Information*

Table 2 shows the results obtained from epidemic-related information. Most participants had their job/study activity moved at home (50.9%), didn't have any family members or friends diagnosed with COVID-19 (93.6%), were always adherent to control and precautions measures against COVID-19 (62.9%), and had a household size of mainly three to four persons (55.3%).

Concerning sex differences among these variables, we found a significantly different distribution of answers between men and women in the adherence to control and precautions measures against COVID-19 (χ<sup>2</sup> = 10.28, *p* = 0.006). Particularly, most women (64.4%) reported to be more inclined to always adhere to control and precautions measures against COVID-19, rather than often or not that much, compared to men (58.8%). We did not find any significant sex difference with regards to the distribution of changes in job/study activity (χ<sup>2</sup> = 5.12, *p* = 0.163), presence of family members or friends infected by COVID-19 (χ<sup>2</sup> = 1.25, *p* = 0.263), and household size during the outbreak of the disease (χ<sup>2</sup> = 6.28, *p* = 0.099).

With respect to age range differences, we found a significantly different distribution of answers in the variables changes in job/study activity (χ<sup>2</sup> = 74.92, *p* < 0.001) and household size during the outbreak of the disease (χ<sup>2</sup> = 80.45, *p* < 0.001). Particularly, young (50.4%) and middle (53.9%) adults reported to have mainly their job activity moved at home, as well as a household size of three to four persons during lockdown (58.7% and 55.0% for young and middle adults, respectively), compared to older adults who reported no changes in job or job moved at home to the same extent (29% for both), and a house composition of mainly two persons (44.2%). No significant age differences in the adherence to control and precautions measures against COVID-19 (χ<sup>2</sup> = 1.57, *p* = 0.815), nor in the presence of family members or friends infected by COVID-19 (χ<sup>2</sup> = 3.62, *p* = 0.163), were detected.
