*2.3. Procedure*

Every student that asked to participate received a personal account on NoiBene [29] and provided informed consent about data protection and privacy according to the General Data Protection Regulation (GDPR; EU 2016/679). Then, they answered the SCL-90-R questionnaire. Students with elevated levels of symptomatology were contacted for a diagnostic interview. If severe ongoing clinical conditions (e.g., mood disorders, psychotic disorders) or suicidal ideation were confirmed, the student received feedback about their symptomatology and was directed towards the treatment suited to their needs. In this case, NoiBene was used as a support for their therapy. Otherwise, each student was contacted by a tutor. An experienced psychotherapist supervised the activity of the tutors during the duration of the program. Students could meet the tutor once a week; the meetings were held on video-call platforms, guaranteeing a private space. Every meeting started with a mood check. Then, the tutor introduced specific contents regarding psychological well-being or cognitive vulnerability and discussed any issues with the students. Between meetings, every student was asked to complete the module regarding the topic discussed previously. Indeed, except for the first one, every meeting included a revision about homework (see Table S1 in Supplementary Materials for more details).

#### **3. Statistical Analyses**

Statistical analyses were performed using SPSS version 27.0 for Windows (IBM Corp., Armonk, NY, USA). A series of descriptive analyses were conducted on participant characteristics (i.e., demographic variables, academic data, symptomatology, and help-seeking behaviour). A Chi-Squared Test was run to examine whether there was a difference between groups in the proportion of male and female participants. It showed a significantly different distribution of males and females across groups. For this reason, group comparison analyses were conducted considering males and females differently. A series of one-way analysis of variances (ANOVAs) were conducted to investigate differences between four female groups (BeforeCOVID vs. Quarantine vs. SecondPhase vs. ThirdPhase). Considering that the males' symptomatology rating was non-normally distributed, as measured by the Shapiro–Wilk test (*p* values ranged from <0.001 to 0.02), a series of nonparametric Kruskal–Wallis analyses were conducted to investigate differences between four male groups (BeforeCOVID vs. Quarantine vs. SecondPhase vs. ThirdPhase). The level of significance was set at *p* < 0.05. Effect sizes were calculated using partial eta squared (partial-η2) for ANOVAs and eta squared (η2) for Kruskal–Wallis analyses. Both were interpreted based on benchmarks suggested by Cohen [37]: η<sup>2</sup> = 0.01, small effect size; η<sup>2</sup> = 0.06, medium effect size; η<sup>2</sup> = 0.14, large effect size. The post hoc analyses of significant interactions were conducted using the Fisher LSD post hoc test.
