**3. Results**

Data are presented as mean ± standard deviation. Anthropometrical differences were found regarding height, weight, and BMI (Table 1).


**Table 1.** Gender differences in sociodemographic factors.

Regarding economic variables, no gender differences were found in how the COVID-19 pandemic has affected employment (Table 2).

**Table 2.** Gender differences in economic variables.


According to the academic variables, no gender differences were found in how the COVID-19 pandemic has affected studies.

According to the psychological profile, females showed a higher perception of danger to the COVID-19 virus than males. Females presented higher values in conscientiousness, neuroticism, openness to experience, and stress than males. However, males presented higher values of extraversion than females. Yet, no gender differences were seen for psychological traits such as depression, loneliness, and experiential avoidance (Table 3). Reliability was estimated through Cronbach's alpha, obtaining 0.729 for Big Five factors, 0.810 for the Acceptance and Action Questionnaire II (AAQII), 0.870 for the UCLA Loneliness Scale (UCLA), 0.854 for the Spielberger State-Trait Anxiety Inventory (STAI), and 0.793 for the Zung Depression Scale (ZUNG).

**Table 3.** Gender differences in psychological profiles.


AAQII (Acceptance and Action Questionnaire II); UCLA (UCLA Loneliness Scale); STAI (Spielberger State-Trait Anxiety Inventory); ZUNG (Zung Depression Scale).

Regarding the health-related factors, males presented a higher weekly consumption of soft drinks, meat, and pasta or rice than females. Females showed higher values in daily tooth brushing and dry mouth than males. No gender differences were found in the physical activity habits analyzed (Table 4).


**Table 4.** Gender differences in the health-related factors.
