The relations between socio-demographic information and negative symptoms, mental health, and quality of life: a latent profile analysis with psychotic patients in Kosovo.

The current study aims to identify meaningful psychotic patients' profiles by examining certain combinations of patient's demographic and socio-economic variables (sex, age, marital status, number of children, cohabitant and level of education). Moreover, we aim to assess whether there is any significant effect of class membership (profile) on negative symptoms, health state, and quality of life among psychotic patients. A convenience sample of 103 patients (age: M = 22, SD = 1.75), was drawn from the clinical populations of Kosovo. Demographic and socio-economic data was obtained through individual interviews, meanwhile a battery of questionnaires was used to assess negative symptoms, mental health, and quality of life of patients. The 4-class solution was selected as the best fitting model and used in subsequent analyses. Results indicated a significant effect of class membership on health state, quality of life and negative symptoms. Practical implications are discussed.

Anxiety and depression among Kosovar university students during the initial phase of outbreak and lockdown of COVID-19 pandemic.

Background and Purpose: Measures taken to prevent COVID-19 infections, aside from causing disruptions in many facets of our daily life, have impeded education, including the higher education process, as never seen before on a global scale. Recent studies have indicated the potential negative impact of the COVID-19 pandemic on the mental health trajectory of university students. Anxiety and depression can seriously hamper students' quality of life and educational achievement. This study explored anxiety and depression among university students in Kosovo during the lockdown as a result of COVID-19 pandemics. The study was implemented during the initial phase of the pandemic. This study also explored the impact of selected determinants on the reported mental health of students. Methods: In total, 904 university students from the largest public university in Kosovo were enrolled in a web-based cross-sectional study during the early phase of the national lockdown due to the COVID-19 pandemic. Results: The first and second hierarchical regression models indicated that the anxiety and depression scores of students were predicted by gender, knowing someone who was infected with COVID-19, concerns about the potential financial impact of measures taken by governments to respond to the COVID-19 pandemic and excessive information seeking about COVID-19. The third model improved significantly when the variables concerns about family members' health, concerns about being lonely, problems with online lectures and requests for help from the university related to online lectures were added to the model. Overall, the findings indicated that situational variables associated with measures taken to respond to the COVID-19 pandemic appeared to predict anxiety and depression among students. Conclusion: These findings indicate that universities and public health institutions need to support students, especially the more vulnerable students, in enhancing their skills to cope with mental health problems and distress related to the pandemic and the shift to online learning.