Internet is important resource of health-related information and health services. Factors associated with higher level of online health (eHealth) literacy among adolescence have been understudied. The aim of this study was to assess psychometric properties of the eHealth Literacy Scale (eHEALS) in Serbian language and to evaluate eHealth literacy among adolescents in Serbia. The study was carried out in four high schools in Belgrade, Serbia in the period December 2016 to January 2017. A total of 702 students comprised the study sample. The eHEALS was translated according to internationally accepted methodology and its psychometric properties were analyzed. The Cronbach’s alpha coefficient for the entire eHEALS was 0.849. On exploratory factor analysis we obtained two-factorial structure. Our adolescents reported low confidence in knowing what health resources are available online. High confidence was observed for knowing how to use and how to find health information online. There was no difference in eHEALS score between genders or between school years. After adjustment for gender, type of school program, parental marital status, fathers’ education level and household income, being female was associated with higher eHealth literacy (B = 1.12, 95% confidence interval 0.07–2.18; p = 0.036). Serbian version of the eHEALS is a valid instrument in assessment of online health literacy and can be further used in evaluation of eHealth literacy in other population groups in Serbian language. It is advised that some classes in school are dedicated to appraisal and use of online health websites. This could be achieved through peer-education.

The aim of this study was to assess the association between cigarette smoking and health-related quality of life (HRQoL) among students in two different universities, and the potential mediating effect of depression. Participants were students who came for mandatory check-ups at Student Health Care Centers in two Universities in Serbia, differing by socio-politically and economically environments. Students completed socio-demographic questionnaire, Beck Depression Inventory (BDI) and the SF-36 questionnaire for assessment of HRQoL. In both populations, after adjustment for socio-demographic, behavioral and health factors, smoking was associated with poorer Mental Composite Score (MCS) and Physical Composite Score (PCS) (Belgrade 1,624 students: MCS β = 3.38, 95% confidence interval [CI] 1.31, 5.44, PCS β = 1.01, 95% CI -0.50, 2.52; Kosovska Mitrovica 514 students: MCS β = 5.06, 95% CI 1.74, 8.37, PCS β = 3.29, 95% CI 0.75, 5.83). After additional adjustment for BDI score, the observed associations were lost (Belgrade: MCS β = 1.12, 95% CI -0.57, 2.80, PCS β = -0.40, 95% CI -1.71, 0.92; Kosovska Mitrovica: MCS β = 0.77, 95% CI -2.06, 3.60, PCS β = 0.56, 95% CI -1.75, 2.87). Higher BDI score was associated with poorer PCS and MCS across all quintiles. The association of smoking with impairment of HRQoL among university students in two different settings was mediated by higher levels of depressive symptoms. These findings highlight the need for further research on the interaction between smoking, mental health and quality of life, with implications for prevention, diagnosis and treatment.