Sleep has a key role in the development of adolescents. Sleep is effective not only in physical growth, but also in behavior, emotion, cognition, attention, and school performance of adolescents. The purpose of the present study was to investigate the quality of sleep and the prevalence of sleep disorders in adolescents of Gonabad city. The statistical sample consisted of 1153 adolescents studying in the secondary high schools of Gonabad city. A demographic questionnaire, the pittsburgh sleep quality scale, and global sleep assessment questionnaire were used to collect data. 75.3% of the adolescents had low and inappropriate sleep quality. In addition, disturbances in beginning of sleep (16.7%), Disturbances in maintaining sleep (11.5%), daytime fatigue (31.6%), daytime sleepiness (24.7%), sleep disorder due to daily intense activity (27.8%), Breathing pause (10.2%), snoring (9.4%), restless leg syndrome (16.9%), periodic movements limb (11.7%), sleepwalking disorder (11%), having nightmare (8.5%), secondary insomnia (18.2%), feelings of anxiety and worry (26.4%), and Disturbances in daily work (26%) were the other obtained results. According to the poor quality of sleep and prevalence of sleep disorders in them, it is essential to respect the causes of the issue to reduce the negative consequences.

Therapist related factors and also patient has many effects on phenomenon of successful termination of psychotherapy. Factor and growing a combination of these factors causes the patient to prematurely leave the psychotherapy sessions. This study aimed to investigate the role of demographic factors in predicting of successful termination of individual psychotherapy. Population study contained all of patients who referred to psychiatry and psychology clinics. Researcher made demographic questionnaire and outcome questionnaire were used to collect data. Stepwise regression analysis revealed that referral source, severity problem, income, access treatment, gender, level of education, therapist's level of education and type of therapy were predictors of successful termination and the final research model can predict 61% of the variance in the criterion for the successful termination of psychotherapy. There was no significant relationship between the cost of the treatment and the clinical diagnosis with successful termination of individual psychotherapy. The results showed that demographic factors are important predictors of successful termination of individual psychotherapy. Keywords: Demographic, Drop Out, Psychotherapy, Successful, Termination Journal of Research & HealthSocial Development & Health Promotion Research Center Vol. 8, No. 3, May & Jun 2018 Pages: 198-209 DOI: 10.29252/jrh.8.3.198 Original Article

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Background: With the invention of the Internet and its widespread popularity, in addition to the many benefits, it was accompanied by many damages and problems. The biggest damage tousing this technology is addiction. Internet addiction can be a chronic, pervasive, recurring, and very damaging disorder. This study aimed to determine the prevalence of internet addiction and its relation with demographic factors among the students of Gonabad Universities in the academic year 2015-2016. Methods: The study design was cross-sectional. The sample of the study was all students of Azad and Payam Noor University of Gonabad. A total of 1182 students of Azad and Payam Noor University of Gonabad participated in the research process by simple random sampling. To collect data, the demographic questionnaire and Young’s Internet addiction scale was used. Data was analyzed using SPSS descriptive statistics software version 19, and the chi-squared test. Results: The prevalence rate of Internet addiction was 14.3%. The prevalence rate in male and female samples was 14.1% and 14.5%, respectively. A total of 33.9% of students in the sample were at risk of Internet addiction disorder. The results of chi-square test results showed no significant relationship between gender, marital status, the field of study, and Internet addiction (P>0.05). However, the results of the analysis indicated a significant relationship between age, place of residence, level of education, and type of university with the prevalence of Internet addiction (P<0.05). Conclusion: According to the high prevalence of Internet addiction among students, appropriate treatment interventions are required for Internet addiction students.