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Prior studies on sex addiction have mostly relied on a narrow range of risk factors among small and heterogeneous samples. The purpose of the present study was to examine the psychological markers related to sex addiction in a large-scale community sample of Turkish adults. A total of 24,380 individuals completed a survey comprising the Sex Addiction Risk Questionnaire, the Brief Symptom Inventory, the Positive and Negative Affect Schedule, the Personal-Wellbeing Index Adult Form, the Toronto Alexithymia Scale, and the Experiences in Close Relationships-Revised (50% males; mean age = 31.79 years; age range = 18 to 81 years). Utilizing hierarchical regression analysis, sex addiction was associated with being male, being younger, having a lower education level, being single, being an alcohol and nicotine user, psychiatric distress, low personal wellbeing, positive and negative affect, alexithymia, and anxious attachment. This study suggests that socio-demographic factors and aforementioned detrimental psychological factors exacerbate higher engagement in addictive sexual behaviors among the Turkish community. However, more studies are needed to better understand the factors associated with sex addiction in Turkey., Author(s): Kagan Kircaburun [sup.1] [sup.2] , Hüseyin Ünübol [sup.3] , Gökben H. Sayar [sup.4] , Jaklin Çarkçi [sup.3] , Mark D. Griffiths [sup.1] Author Affiliations: (1) grid.12361.37, 0000 0001 0727 [...]

In this study, direct and indirect effects of self-esteem, daily internet use and social media addiction to depression levels of adolescents have been investigated by testing a model. This descriptive study was conducted with 1130 students aged between 12 and 18 who are enrolled at different schools in southern region of Aegean. In order to collect data, "Children's Depression Inventory", "Rosenberg Self-esteem Scale" and "Social Media Addiction Scale" have been used. In order to test the hypotheses Pearson's correlation and structural equation modeling were performed. The findings revealed that self-esteem and social media addiction predict 20% of the daily internet use. Furthermore, while depression was associated with self-esteem and daily internet use directly, social media addiction was affecting depression indirectly. Tested model was able to predict 28% of the depression among adolescents.

In this study, it was aimed to examine the association between gender, personality traits and Twitter addiction (TA) among undergraduates. Study group consisted of 365 undergraduate students who are enrolled at the state university in western region of Black sea. Big Five Inventory, TA Scale and personal information form were used for data collection. In order to analyze the data, descriptive statistics, t test, Pearson's correlation and multiple regression analyses were utilized. As a result of the study, it was found that while 37.5% of the participants were mildly addicted to Twitter, 14.5% of them were addicted moderately. Another finding suggested that addiction levels of the male students were significantly higher than females. Results also indicated that while gender was positive predictor of TA, agreeableness, conscientiousness and extraversion were significantly negatively predicting the TA levels of the Turkish undergraduates.