Jorjani Biomedicine Journal

Background & Objective: Using internet have had a significant impact on the lifestyle changes of internet clients which can affect their health. The aim of this study was to survey the relationship between lifestyle related to internet with loneliness and social support of the internet clients in Ilam University of medical sciences.

Methods: This study was a cross sectional study which was performed in 2014 on 400 university students and personnel of Ilam University of medical sciences using stratified random sampling method.Data collection instrument was a questionnaire comprising of four sections: demographic information, lifestyle related to internet questionnaire , loneliness and social supports questionnaires.All data were analyzed using SPSS software by Mann Withney and Kruscall- Wallis tests and linear regression test.

Results: The linear regression results showed that there was a significant relationship between loneliness and lifestyle related to the internet, gender, marital status, occupational statues and age (P<0.01). There was also a significant relationship between social support and lifestyle related to the internet and age (P<0/05). The results showed that there was a significant relationship between loneliness and social support with marital status, educational degree and internet usage (P<0/01).

Conclusion: According to the significant relation between loneliness and social support with the lifestyle related to the internet, and regarding the inevitability of Internet, it seems more supporting the students and implementing the educational programs for university clients about suitable using of internet is necessary.

Background and objective: According to the high and increasing prevalence of internet addiction, and the fact that little research has been done on the predictors of internet addiction in Iran, the purpose of this study was to examine the role of predictor variables of mental health and personality subscales in internet addiction of students in medical and non-medical universities of Sanandaj in 2014.

Methods: The Method of this research was correlation and the statistical population were all of medical and non-medical students of Sanandaj Universities in 2014. In this study, 250 students (125 female and 125 male), were randomly selected, and completed the checklist of mental health symptoms, NEO personality questionnaire, and internet addiction questionnaire. Data were analyzed using Pearson Correlation, stepwise regression, and T test by SPSS software version 20.

Results: The results indicated that obsession-compulsion, openness, consciousness, aggression and somatization subscales had predictor roles in internet addiction, and totally 51 percent of variances predicted the internet addiction (F=29.97; P=0.001).

Conclusion: The internet addiction of university students is dependent upon their mental health and personality, and one can predict the internet addiction of students via subscales of mental health and personality.