Factors associated with health-related quality of life among Belgrade University students

• Published in: Quality of life research 2011-04, Vol.20 (3), p.391-397
• Main Authors: Pekmezovic, Tatjana, Popovic, Aleksandra, Tepavcevic, Darija Kisic, Gazibara, Tatjana, Paunic, Mila
• Format: Article
• Language: English
• Subjects: Alcohol; Alcohol abuse; CLINICAL AND POLICY APPLICATIONS; College students; Cross-Sectional Studies; Depression - diagnosis; Depression - physiopathology; Depressive disorders; Education; Exercise; Family income; Female; Health; Health Behavior; Health care; Health Status; Humanities; Humans; Male; Medical sciences; Medical students; Medicine; Medicine & Public Health; Mental depression; Mental health; Parents; Preventive medicine; Public Health; Quality of Life; Quality of Life Research; Questionnaires; Risk Factors; Serbia; Smoking; Social sciences; Sociodemographics; Sociology; Statistical significance; Students - psychology; Universities; University students; Vitality; Young Adult
• ISSN: 0962-9343; 1573-2649
• DOI: 10.1007/s11136-010-9754-x

Purpose The aims of the study were to evaluate healthrelated quality of life (HRQoL) among students of University of Belgrade (Serbia) and to identify factors that might have associated with their HRQoL including relationship with depression. Methods Between April and June, 2009, 1624 students were enrolled in the cross-sectional study. HRQoL was assessed by using SF-36 questionnaire and general depressive status by Beck Depression Inventory (BDI). In statistical analysis, ANOVA (Bonferroni adjustment), ÷ 2 test, and correlation analysis were performed. Results In our study, the highest SF-36 scale score was obtained for Physical Functioning. All SF-36 domains significantly (P < 0.01) negatively correlated with BDI. Students of medical sciences had the lowest scores in almost all SF-36 domains. Students who lived with parents had statistically significantly higher scores of majority of SF-36 domains. The total SF-36 score significantly correlated with average monthly family income (P = 0.002). Smokers and non-smokers significantly differed in the total SF-36 score (P = 0.001). Based on the comparison across the physical activity categories, there is a clear pattern of differences in the total SF-36 scores (P = 0.001). Conclusion Our findings indicate that multiple factors are adversely associated with students' HRQoL. Appropriate health education programs to target modifiable risk factors may improve students' HRQoL.