The paper aimed to examine the influence of employees’ COVID-19 fear on their performance through intervening mechanisms such as mental wellbeing and organizational support. A total of 446 workers from the bank completed a self-report survey. Findings from regression analysis conducted with SPSS PROCESS MACRO (Model 7) revealed that employees’ COVID-19 fear did not have any direct negative influence on their performance but instead had an indirect effect on their performance via mental wellbeing (anxiety and depression). The findings also revealed that organizational support was instrumental in buffering the adverse impact of employees’ COVID-19 fear via mental wellbeing (anxiety and depression). Therefore, organizations should increase employee-supportive measures throughout this era of the COVID-19 to help reduce the adverse impact of employees’ COVID-19 fear.

The expression "social media" refers to a software-based platform developed for users’ benefit. People use it to gain social power, market their products, conduct online business, and share information and ideas. This digital ecosystem has become helpful in various ways, but research indicates that it does not come for free. Addiction, depression, and anxiety are some of the adverse conditions discussed in many studies. The purpose of this study is to mark if there is a relationship between using social media networks and the numbering of people with anxiety or depression. Also, by addressing the need to learn more about what makes people use social networks and how that use affects anxiety and depression in Arabic-speaking users in Jordan, we can help people from different cultures understand each other better. This research uses TAM, telepresence, and survey data from 1050 people, mainly from Jordan. The research looks at how the usage of social media is related to supposed usefulness, supposed ease of use, trust, social influence, age, gender, level of education, marital status, the time spent on the internet, preferred social media network, and perceived usefulness of SNS. AMOS 20 methods of confirmatory factor analysis (CFA), structural equation modeling (SEM), and machine learning (ML), such as SMO, ANN, random forest, and the bagging reduced error pruning tree (RepTree), were used to test the proposed model hypotheses. According to the results, the researchers found high correlations between social network usage and depression and anxiety. The use of social networking sites is also affected by how useful they are seen to be, how easy they are to use, trust, social influence, and telepresence. Also, the moderator's age, gender, level of education, marital status, amount of time spent on the internet, experience with the internet, and favorite social networks all affect how they plan to use social networks.

This paper presents an empirical investigation to construct, to validate and to determine normalization factors associated with adolescents depression scale. The study is performed among 750 randomly selected guided and high school students, 364 male and 386 female, who live in city of Zanjan, Iran. Validity of Beck Depression Inventory (BDI), Validity of Simpson-Angus Scale (SAS) and divergence validity of the Coopersmith self- esteem coefficients are 0.72, 0.37 and -0.71, respectively. Result suggests that adolescents’ depression test is a reliable and valid tool for assessing depression, with utility in both research and clinical settings, counseling centers. In addition, the results of correlation test indicate there are some meaningful differences between depression levels of female and male students. In fact, our survey indicates that female students have more depression than male students do (F-value = 33.06, Sig. = 0.000). In addition, there are some meaningful differences between depression levels in various educational levels (F-value = 8.59, Sig. = 0.000). However, the study does not find sufficient evidence to believe there is any meaningful correlation between educational backgrounds and gender.

Many women may have some experiences on having depression after they give birth to their children. When a husband provides continuous support during his wife's pregnancy, his presence may be effective in reducing her dissatisfaction with the childbirth process. This paper presents a survey on measuring the effect of counseling programs for husbands to provide more support for their pregnant wives. The study selects a sample of 60 people from pregnant people who approached Shahid Beheshti hospital in city of Esfahan, Iran in 2012. The findings of the survey indicate that there was no relationship between women’s age, educational background, infant’s gender, pregnancy type and depression. However, the study detects some meaningful relationship between pregnancy type, i.e. surgery or natural, and depression (t-student=3.19 ?=0.003).