Predicting university students’ life satisfaction by their anxiety and depression level

Abstract

The aim of this study is to determine to what extent the university students’ level of life satisfaction can be predicted by their anxiety and depression level, sex, socio-economic level, satisfaction with their department, patents’ education level and living quarters. The sample of the study comprises 348 students studying in different faculties in Cyprus International University in the academic year 2008-2009. The data collection tools employed in the study were the Life Satisfaction Scale, the Trait Anxiety Scale and the Beck Depression Inventory. Data were analyzed by using progressive regression analysis. The results of the analysis revealed that the students’ level of life satisfaction could be significantly predicted by their anxiety, depression, satisfaction with their department and socio-economic level. “anxiety, depression and socio-economic level” were found to be the most important predictors of their life satisfaction of students.