Introduction Addiction to the Internet and mobile phones in adolescents could be related to loneliness. However, less research has been conducted on this topic in developing countries. This study aimed to examine addiction to the Internet and mobile phones and its relationship with loneliness in adolescents in Iran. Method This was a cross-sectional and analytic study that was conducted between 2015 and 2016 in Rasht, in the north of Iran. Subjects were selected through cluster sampling from female and male teens who were studying in the public and private schools. The Kimberly’s Internet Addiction Test, Cell phone Overuse Scale (COS), and the University of California , Los Angeles (UCLA) Loneliness Scale were used for data collection. Results The mean age of participants was 16.2 ± 1.1 year. The mean of addiction to the Internet was 42.2 ± 18.2. Overall, 46.3% of the subjects reported some degrees of addiction to the Internet. The mean of addiction to mobile phones was 55.10 ± 19.86. The results of this study showed that 77.6% (n = 451) of the subjects were at risk for addiction to mobile phones, and 17.7% (n = 103) of them were addicted to their use. The mean of loneliness was 39.13 ± 11.46 in the adolescents. Overall, 16.9% of the subjects obtained a score higher than mean in loneliness. A statistically significant direct relationship was found between addiction to the Internet and loneliness in the adolescents (r = 0.199, p = 0.0001). The results also showed a statistically significant direct relationship between addiction to mobile phones and loneliness in the adolescents (r = 0.172, p = 0.0001). Conclusion The results of this study revealed that a high percentage of adolescents who have some degrees of addiction to the Internet and mobile phones experience loneliness, and there are relationships between these variables.

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MtDNA T4216C variation has frequently been investigated in Multiple Sclerosis (MS) patients; nonetheless, controversy has existed about the evidence of association of this variation with susceptibility to MS. The present systematic review and meta-analysis converge the results of the preceding publications, pertaining to association of mtDNA T4216C variation with susceptibility to MS, into a common conclusion. A computerized literature search in English was carried out to retrieve relevant publications from which required data were extracted. Using a fixed effect model, pooled odds ratio (OR), 95 % confidence interval (95 % CI), and P value were calculated for association of mtDNA T4216C variation with susceptibility to MS. The pooled results showed that there was a significant association between mtDNA T4216C variation and MS (OR = 1.38, 95 % CI = 1.13-1.67, P = 0.001). The present systematic review and meta-analysis suggest that mtDNA T4216C variation is a contributory factor in susceptibility to MS.

Background: Addiction is a primary, chronic disease of brain reward, motivation, memory and the related circuitry. Objectives: The purpose of the study was the measurement of effective components in addiction relapse, in Rasht city of Guilan province, Iran. Patients and Methods: This study was done in 2014 that has been performed by using the factor analysis method. In the qualitative stage the process owners were 45 experts, and in the factor analysis stage they were 1850 people who were under treatment at addiction treatment centers. The data collection tool was a Researcher-Made Questionnaire whose content validity was determined through expert panel, and its construct validity was determined through exploratory factor analysis by principal component analysis method with varimax rotation using SPSS16 software. Results: In exploratory component analysis, 4 main components were identified; Individual factors with 6 variables, 25.72% variance, and 17.81 eigenvalue as the most important factor, and Economic factors with 5 variables and 7.64% variance as the less important factor, clarified the Addiction Relapse changes; however, in the fitted model which is the most completely saturated model, 4 factors of Individual factors with ß = 0.48, family factors with ß = 0.23, occupational factors with ß = 0.2, economic factors with ß = 0.12 had the highest predictive power in the order of importance. Conclusions: According to the findings, individual, familial, social, cultural, and economic factors were the most important in relation to the addiction relapse.