Objective: This study aims to evaluate whether smartphone addiction (SA) is associated with social media use and alexithymia levels in university students. Methods: A group of 935 students aged between 18 and 45 years (509 females and 426 males) was recruited from different universities in Istanbul. SAs, alexithymia and social media use were assessed using the Smartphone Addiction Scale Short Version (SAS-SV), Toronto Alexithymia Scale-20 (TAS-20), and ad-hoc questions regarding social media use. Results: The mean age of participants was 21.89±3.27 years and 509 of participants were female (54.4%). 455 (48.6%) participants were placed in the “SA” and 198 (21.2%) in the “alexithymia” categories. The study found a high level of positive correlation (p<0.001) between both subscale and total TAS-20 scores and SAS-SV scores. Gender (OR=1.496, 95% CI 1.117–2.002, p=0.007) and number of social media by participants (OR=1.221, 95% CI 1.134–1.315, p<0.001) and TAS (OR=1.074, 95% CI 1.059–1.090, p<0.001) were found to be an independent predictors for SA. Conclusion The study revealed a positive correlation between alexithymia and smartphone use severity, and alexithymia was a significant predictor of SA. Future studies focusing on the causal aspect of this relationship will be useful in planning strategies for treatment.

Objective: This study aims to evaluate whether smartphone addiction (SA) is associated with social media use and alexithymia levels in university students. Methods: A group of 935 students aged between 18 and 45 years (509 females and 426 males) was recruited from different universities in Istanbul. SAs, alexithymia and social media use were assessed using the Smartphone Addiction Scale Short Version (SAS-SV), Toronto Alexithymia Scale-20 (TAS-20), and ad-hoc questions regarding social media use. Results: The mean age of participants was 21.89±3.27 years and 509 of participants were female (54.4%). 455 (48.6%) participants were placed in the “SA” and 198 (21.2%) in the “alexithymia” categories. The study found a high level of positive correlation (p<0.001) between both subscale and total TAS-20 scores and SAS-SV scores. Gender (OR=1.496, 95% CI 1.117–2.002, p=0.007) and number of social media by participants (OR=1.221, 95% CI 1.134–1.315, p<0.001) and TAS (OR=1.074, 95% CI 1.059–1.090, p<0.001) were found to be an independent predictors for SA. Conclusion The study revealed a positive correlation between alexithymia and smartphone use severity, and alexithymia was a significant predictor of SA. Future studies focusing on the causal aspect of this relationship will be useful in planning strategies for treatment.

Objective: The aim of this study was to compare the thickness of the retinal nerve fiber layer (RNFL) with controls in individuals with attention deficit hyperactivity disorder (ADHD) and to examine the relationship between RNFL thickness and the level of performance in disease severity and executive function tests in ADHD cases. Methods: The study included 38 volunteer patients diagnosed with ADHD and 30 healthy volunteers. Adult ADHD self-report scale was used for ADHD symptom severity. Executive functions were evaluated by Digit Span Test, Verbal Fluency Test, Stroop Test, and Trail Making Test. RNFL thickness of all participants was evaluated using optical coherence tomography (OCT). Results: In the comparison of RNFL values, it was found that right mean, right temporal, right temporal inferior, left mean, left nasal, and left nasal inferior quadrant values were statistically thinner in ADHD cases compared to the control group (p<0.05). There was no statistically significant correlation between the mean RNFL thickness values of the right and left eyes of ADHD cases and the symptom severity and performance levels in executive function tests. Conclusion This study is a guide in terms of being the first study investigating the relationship between RNFL thickness, symptom severity, and various neuropsychological tests in adults with ADHD.

Objective: Smartphone addiction is a public health problem increasing with the technologic developments. It particularly affects the university students negatively in terms of psychological, physical, academic achievement and social relations. This study aims to investigate the relation of eating attitudes between smartphone addiction and internet gaming disorder, also the relation of smartphone addiction with obesity. Methods: This cross-sectional and prospective study is consisted of 358 volunteer university students. Socio-demographic data form, Short Form of Smartphone Addiction Scale (SF-SAS), Eating Attitude Test (EAT), and internet gaming disorder scale were administered to the participants. Results: Mean age of the participants was 22.27±3.10 years and 59.8% (n=214) were female. In terms of the variables “body mass index, body weight, faculty of the student, economic status of the family, and the people they live with together” were significantly different from controls. Also “monthly mobile phone invoice, EAT score, SF-SAS scores” were statistically different. A significant difference was found among “body weight groups” in terms of both EAT score and SF-SAS. According to the linear regression model variables of “gender, smartphone addiction, and school year” were determined as the predictors for EAT. Conclusion Our current study has revealed the relation between smartphone addiction and eating attitudes, and obesity. Smartphone addiction may lead to an increase in body weight, by affecting eating attitudes. Therefore, the effect of eating behavior disorders in the emergence of the smartphone addiction should be considered. Multi-disciplinary solutions are required to prevent this addiction that may increase over time.

Objective: This study aims to assess the psychometric values of the Generalized Anxiety Disorder Scale-Revised (GADS-R) which measures the intensity and duration of worry, various coping and avoidance strategies to cope with worrying, and positive and negative metacognitive beliefs about worrying. Methods: 114 patients with generalized anxiety disorder and 198 healthy controls were included in the study. These patients were diagnosed according to DSM-IV TR, and the primary diagnosis of the patients was generalized anxiety disorder which was confirmed via SCID I and II, subsequently. Sociodemographic form, GADS-R total and subscale scores, and Meta-Cognitions Questionnaire-30 (MCQ-30), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Generalized Anxiety Disorder-7 Scale (GAD-7), and Penn State Worry Questionnaire (PSWQ) were used to assess validity, reliability and cut-off point. Results: GADS-R total and subscale scores and MCQ-30, BDI, BAI, GAD-7, and PSWQ were found to be statistically higher in the patients with GAD compared to a healthy control group. GADS-R has five factors and showed relatively acceptable sensitivity and specificity for detecting anxiety disorders at a cut-off point of 1188. Conclusion The GADS-R is a valid and reliable scale that can be used in the Turkish population as an assessment tool.