Advanced search×

Anxiety prevalence and affecting factors among university students.

Audio, Transactions of the IRE Profession... 22(1):127-33 (2010) PMID 20032042

This study provides insight into the prevalence and correlates of anxiety among university students in Bursa, Turkey. A total of 4850 students participated in the study. Students completed Spielberger's State-Trait Anxiety Inventory, as well as a questionnaire designed to determine risk factors of anxiety. About 29.6% and 36.7% of the students in the study reported state and trait anxiety scores of more than 45 points, respectively. Controlling for gender and family socioeconomic status, the following characteristics predict both state and trait anxiety: the status of family relationships, difficulty understanding lectures, difficulty adapting to university life, having to solve problems independently, a vision of self-sufficiency in problem solving, negative life experience, and satisfaction with their department of study. The following factors are predictive of only state anxiety: boarding conditions, having a chronic disease, and exam periods. The risk factors for trait anxiety scores include the following: anxiety about the future, preparation for work life, class of study, private relationships, and attitude of the family toward their child. Families, secondary education institutions, and universities should cooperate to eliminate risk factors for anxiety among university students.

DOI: 10.1177/1010539509352803
Version: za2963e q8za6 q8zb4 q8zcf q8zd5 q8ze1 q8zfd q8zg1

Similar articles you may find interesting…

  1. Detecting qualitative interaction: a Bayesian approach.

    Stat Med 29(4):455-63 (2010) PMID 19950107

    Differences in treatment effects between centers in a multi-center trial may be important. These differences represent treatment by subgroup interaction. Peto defines qualitative interaction (QI) to occur when the simple treatment effect in one subgroup has a different sign than in a...
  2. Facial asymmetry in young healthy subjects evaluated by statistical shape analysis.

    J Anat 213(6):663-9 (2008) PMID 19094182

    We aimed to identify normal facial asymmetry between the right and the left sides of the face. Facial landmark data were collected from two-dimensional digital images of 321 young healthy subjects (150 males and 171 females). These data were analysed using Euclidean distance matrix analysis. The num...