Regular physical activity plays a crucial role in health maintenance and disease prevention. However, excessive exercise has the potential to have adverse effects on both physical and mental health. The scholastic and empirical discussion of excessive physical activity focuses on obsessive and compulsive exercising, and uses several labels. However, in this review, we argue that the most appropriate term for this phenomenon is exercise addiction, emphasizing that excessive physical exercise fits the typical and most common characteristics of behavioral addictions. The aim of this review is to synthesize the current knowledge on symptomology, diagnosis, epidemiology, and etiology of exercise addiction.

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Since the millennium, an expanding number of research articles have examined the relationship between emotional intelligence (EI) and physical and mental health. The relationship between EI and addictive disorders has, however, remained relatively well-hidden. We therefore systematically reviewed and critically evaluated the literature on this relationship. We identified 51 articles on the topic of which 36 fulfilled our inclusion criteria. Results indicate that a lower level of EI is associated with more intensive smoking, alcohol use, and illicit drug use and two components of EI play a key role in addictions: "decoding and differentiation of emotions" and "regulation of emotions."

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As the Internet became widely used, problems associated with its excessive use became increasingly apparent. Although for the assessment of these problems several models and related questionnaires have been elaborated, there has been little effort made to confirm them. The aim of the present study was to test the three-factor model of the previously created Problematic Internet Use Questionnaire (PIUQ) by data collection methods formerly not applied (off-line group and face-to-face settings), on the one hand, and by testing on different age groups (adolescent and adult representative samples), on the other hand. Data were collected from 438 highschool students (44.5 percent boys; mean age: 16.0 years; standard deviation = 0.7 years) and also from 963 adults (49.9 percent males; mean age: 33.6 years; standard deviation = 11.8 years). We applied confirmatory factor analysis to confirm the measurement model of problematic Internet use. The results of the analyses carried out inevitably support the original three-factor model over the possible one-factor solution. Using latent profile analysis, we identified 11 percent of adults and 18 percent of adolescent users characterized by problematic use. Based on exploratory factor analysis, we also suggest a short form of the PIUQ consisting of nine items. Both the original 18-item version of PIUQ and its short 9-item form have satisfactory reliability and validity characteristics, and thus, they are suitable for the assessment of problematic Internet use in future studies.