Depression among Jordanian women during pregnancy in COVID-19: Role of social support

Aims: To describe the level of depression , social support experienced by pregnant Jordanian women and assess the role of support and other factors on depression level among a sample of Jordanian women during pregnancy during the COVID-19 pandemic. Method: The study invitation and link to an online survey were shared during November 2021 via social media and through word of mouth. A convenience sample of 434 pregnant women completed the study questionnaire, which included questions on their COVID-19 status, demographics, depression , social. Depression was assessed using the Center for Epidemiologic Studies Depressive Scale (CES-D). Results: The prevalence of depression among women during pregnancy was 28.3%. The mean of depression score among women during pregnancy was 24.3 +/- 4.4. The prevalence of social support among women during pregnancy were (63%). The mean social support score among the participants was 39.3 +/- 9.1. Factors associated with a higher depression score included not get influenza vaccination, not having insurance, described life as poor, having pressure, and not having social support.Conclusion: This is a national study among women during pregnancy in Jordan. The study found that people who took influenza vaccination, having insurance, described life as poor, and having pressure, they experience more depression than other people. Moreover, our study found as social support increased, the depression decreased.

Attitudes Toward Corona Vaccine and Intention Among University Students

In this paper, we used a cross-sectional (correlational design) and snowballing sampling to analyze students' attitudes toward vaccination to identify its relation to their intentions to take the vaccine. We applied a multiple linear regression algorithm to predict the relationship between attitudes and intentions to take the vaccine. We found that participants were having intermediate to high mistrust of vaccine benefits and high worries over unforeseen future effects. Furthermore, we found that only two independent variables (mistrusts of vaccine benefits and the number of flu vaccination) contributed significantly to the prediction of the intention to take the vaccination level.