Introduction: The media play an important role in the dissemination of information on the 2019 novel coronavirus disease (COVID-19) pandemic. However, it is important to measure whether the population is receiving information that calms it down, as well as whether such news are in accordance with the magnitude of the issue. Objective: To validate a questionnaire that measures the perception of the media and their informative role in the face of COVID-19 pandemic. Methods: A validation process for a questionnaire that measures the perception of the magnitude of this issue and whether it generates fear was carried out. The validation was performed by means of a literature search. Moreover, a first version of the scale was developed, which was assessed by 30 experts (physicians, epidemiologists, among others). After this, an exploratory factor analysis and descriptive statistics were performed. Results: Our scale had 13 initial items; however, one of them was eliminated because of its unsatisfactory level of statistical adequacy. Exploratory factorial analysis and parallel analysis suggested three factors. Results of the KMO coefficient (0.833) and the Bartlett’s test of sphericity (4998.5; gl = 66; p0.4 and robust analyses revealed a satisfactory factorial structure (X2=88.0; p= 0.001; IFC=0.968; GFI=0.992; TLI=0.937; RMSEA=0.123). In the descriptive statistics of the 12 final items, moderate and significant correlations between the items were reported (> 0.5). Conclusion: We generate a scale to validate the perception of how people receive information from the media. Thus, this scale can be used to measure the informative role of the media regarding the COVID-19 pandemic, and may even serve for other similar public health emergencies.

The aim of the study was to explore the relationship between depression, emotional exhaustion, self-esteem, satisfaction with studies, academic self-efficacy, and the use of virtual media in Peruvian university students during the coronavirus disease 2019 (COVID-19) pandemic. A total of 569 college students (61.9% female), with a mean age of 21.73 years (standard deviation = 4.95), responded to the following questionnaires: Academic Self-Efficacy Scale, Single Item Self-Esteem Scale, Brief Scale of Satisfaction with Studies, Scale of Use of Virtual Media, Patient Health Questionnarie-2, and Single Item of Academic Emotional Exhaustion. Correlation statistics, regression models, and structural equation modeling (SEM) were used for data analysis. The results demonstrated a direct and significant correlation between virtual media use, academic self-efficacy, self-esteem, depression, and emotional exhaustion (p < .01). In addition, satisfaction with studies (β = −0.13), academic self-efficacy (β = −0.19), self-esteem (β = −0.14), and emotional exhaustion (β = 0.19) predicted depression significantly, whereas virtual media use (β = 0.17), study satisfaction (β = 0.09), and depression (β = 0.20) predicted emotional exhaustion associated with academics. The SEM model indicated that self-esteem, satisfaction with studies, and academic self-efficacy negatively predict depression, whereas academic self-efficacy positively predicts virtual media use. Finally, both virtual media use and depression positively predict emotional exhaustion. This model presents optimal goodness-of-fit indices (X² = 8.926, df = 6, p = .178; comparative fit = .991, Tucker–Lewis = .979, root mean square error of approximation = .029 [confidence interval 90% = .000–.067], standardized root mean square residual = .022). Thus, academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use predict depression and emotional exhaustion among college students during the COVID-19 pandemic.

Due to the emotional impact of COVID-19 on university students, the goal was to explore the relationship between anxiety, depression, psychological well-being, and life satisfaction among pre-professional interns. The research was carried out using an explanatory cross-sectional design, with the participation of 1011 pre-professional interns of 13 health networks from the department of Puno (Peru). Data were collected using the Satisfaction with Life Scale, Generalized Anxiety Disorder Scale-2, Patient Health Questionnaire 2, and the Psychological Wellbeing Scale. The main data analysis was carried out using the R statistical software, and implementing the confirmatory factor analysis technique, which evidenced that the explanatory model provides an acceptable value. Based on the above, a negative relationship between depression and life satisfaction, (β = −.60, p < .001) and a positive relationship between anxiety and life satisfaction (β = .28, p < .001) was shown, in addition to a mediating effect of the psychological wellbeing related to depression and life satisfaction (p < .001). In conclusion, life satisfaction is explained concerning the degree of depression and anxiety, as well as the moderating effect of psychological well-being. Despite that, there is an urgent need to take preventive actions to strengthen the mental health of the pre-professional health interns, who have also been providing support during the COVID-19 pandemic.

The objective of this research study was to determine if psychological distress, anxiety, and academic self-efficacy predict satisfaction with studies in Peruvian university students during the COVID-19 pandemic. A cross-sectional and predictive design was used, in which 582 Peruvian university students participated, 243 men and 339 women, between the ages of 16 and 41. Student’s t-statistics were used to analyze the differences in scores of psychological distress, anxiety, academic self-efficacy, and satisfaction with studies based on the sex of the participants, Pearson’s R was used for the analysis of correlations between variables, and multiple linear regressions were used to evaluate the predictive model. In the analyses, the significance level was set at 0.05. The results show that men have higher levels of psychological distress, anxiety, and academic self-efficacy than women do (p < 0.01); high levels of psychological distress correlate with high levels of anxiety (r = 0.580, p < 0.01) and low levels of satisfaction with studies (r = –0.178, p < 0.01) and academic self-efficacy (r = −0.348, p < 0.01); high levels of anxiety correlate with low levels of satisfaction with studies (r = −0.122, p < 0.01) and academic self-efficacy (r = –0.192, p < 0.01); and high levels of academic self-efficacy correlate with high levels of satisfaction with studies (r = 0.429, p < 0.01). Academic self-efficacy was also found to predict satisfaction with studies (β = 0.429, p < 0.01). This concludes that, although there are significant correlations between psychological distress, anxiety, academic self-efficacy, and satisfaction with studies, academic self-efficacy is the variable that most predicts satisfaction with studies in Peruvian university students.

The objective of this study was to determine if religiousness and spirituality predict life satisfaction among Peruvian citizens during the COVID-19 pandemic. This is a non-experimental, predictive and cross-sectional study with a sample of 734 people of both sexes (39.5% males and 60.5% females) between 17-75 years of age (M = 32.05). To measure the variables, the Brief Multidimensional Measure of Religiousness/Spirituality (BMMRS) and the Satisfaction with Life Scale (SWLS) were used. A multiple regression analysis was performed to determine the variables that best predict life satisfaction, finding that the spirituality variable explains 10.7 % of the total variance of the life satisfaction variable. In summary, a positive and significant correlation between spirituality and life satisfaction is identified (r = .328, p < .01).

This study explores whether gender differences influence the components of the Dark Triad of personality and moral disengagement on the manifestations of dishonest academic behavior in Peruvian university students. Moreover, it evaluates how moral disengagement mediates the effect that the Dark Triad components have on academic dishonesty. The participants were 591 university students, aged between 18 and 40 years (women = 71.7 %; M_age = 21.5; SD_age = 3.60), to whom the Dirty Dozen Dark Triad, the Propensity to Morally Disengage Scale, and the Scale of Academic Dishonesty, which has 3 dimensions (cheating on exams, plagiarism, and falsification) were applied. The results reveal that only Machiavellianism has a significant and consistent influence on all dimensions of academic dishonesty, in both men and women, while psychopathy influences the dimension of plagiarism in both men and women and falsification only in men. In addition, moral disengagement affects falsification in both groups, cheating on exams only in the men's group, and plagiarism in the women's group. Finally, the mediating role of moral disengagement between the effect of the Dark Triad and the manifestations of academic dishonesty was not demonstrated.