Exploring the role of egocentrism and fear of missing out on online risk behaviours among adolescents in South Africa

The Role of Self-Compassion and Attributions in the Mental Health of Older Adolescents amid the COVID-19 Pandemic

This study aimed to examine the relationship among self-compassion, attributional styles, and mental health and their components in older adolescents in the context of the COVID-19 pandemic. The role of each component of self-compassion (self-kindness, common humanity, mindfulness, self-judgment, isolation, and over-identification) and attributions (globality, stability, self-worth, and negative consequences) in predicting mental health was also analyzed. There were 322 participants aged 18 to 22 that participated in an online survey. The participants filled out a form that consisted of sociodemographic questions, COVID-19-related questions, the Self-Compassion Scale, the Mental Health Continuum-short form-and the Cognitive Styles Questionnaire-very short form. The results indicated moderate levels of self-compassion, attributions, and mental health in participants. Furthermore, gender differences in self-compassion were confirmed, meaning that male participants had higher total levels of self-compassion, and certain differences were observed on attribution subscales, but not on well-being subscales. Self-compassion and mental health were found to be positively correlated with each other and negatively correlated with negative attributions. Of the four attributional components, stability and negative consequences were revealed to be significant negative predictors in the first step but lost their significance with the inclusion of self-compassion components in the second step of the analysis. Regarding the six components of self-compassion, self-kindness, recoded isolation, and common humanity were significant positive predictors in the second step of the analysis. COVID-19-related items did not show any significant intergroup differences. Our findings contribute to a better understanding of the relationship between positive mental health, self-compassion, and attributions in older adolescents so that they can be used as theoretical support for related interventions, especially during and after times of crisis, such as a pandemic.

Social media usage of chinese nursing students: Attitudes, motivations, mental health problems, and self-disclosure

BACKGROUND

Excessive self-disclosure online may risk the reputations, mental health problems, and professional lives of nursing students. This study investigated nursing students' usage of social media, their attitudes towards social media, mental health problems and self-disclosures, and the relationships of these variables.

METHODS

A cross-sectional study was conducted online (n = 1054) with questionnaires of Fear of Missing Out (FoMO), Social Media Fatigue (SMF), Students' Uses and Views of Social Media (SUVSM) and self-disclosure in social media which included self-information shown on social media and information viewed by others.

RESULTS

Although most of them held positive attitudes towards social media, 17.4% of the participants acknowledged that they had posted inappropriate contents online and 37.6% witnessed improper posts from schoolmates or teachers online. SMF was affected by familiar with relevant regulations on the social media usage (β = -.10, p < .001), FoMO (β = .41, p < .001), and SUVSM (β = .17, p < .001). Additionally, nearly 1/3 participants reported their net-friends could view following information: gender, age, occupation, education level and location. Self- disclosure in social media was positively influenced by education (β = .10, p < .001), sharing moments or Weibo, etc. (β = .009, P = 0.009), time spent on social media daily (β = .11, p < .001), accepting stranger's "friend request" (β = .06, P = 0.047), FoMO (β = .14, p < .001) and SMF (β = .19, p < .001). Furthermore, effect of SUVSM on self-disclosure in social media was mediated by FoMO and SMF.

CONCLUSION

Inappropriate contents are posted and witnessed by appreciable proportions of nursing students. Positive attitude towards social media may strengthen FoMO and SMF, which may increase self-disclosure in social media in turn.

Fear of Missing Out Predicts Employee Information Security Awareness Above Personality Traits, Age, and Gender

The role of human factors in employee information security awareness (ISA) has garnered increased attention, with many researchers highlighting a potential link between problematic technology use and poorer online safety and security. This study aimed to present additional evidence for this by exploring the relationship between of Fear of Missing Out (FoMO) and ISA in employees. A total of 718 participants completed an online questionnaire that included a measure of FoMO, ISA, as well as the Big Five personality inventory. Participants who reported higher levels of FoMO had lower overall ISA, as well as having poorer knowledge, a more negative attitude, and engaged in riskier behaviors in relation to ISA. FoMO was also demonstrated to be the largest single negative predictor for ISA, above that of age, gender, and the key personality traits tested. The potential reasons for the influence of FoMO over ISA are discussed, as well as the implications for organizational information security.