148 research outputs found

    Modelling the contribution of metacognitions, impulsiveness and thought suppression to behavioural addictions in adolescents

    No full text
    The most common behavioral addictions in adolescents are Internet Gaming Disorder (IGD), Compulsive Sexual Behavior Disorder (CSBD), and Problematic Social Networks Use (PSNU). In the present study, we investigated whether thought suppression and impulsiveness mediate the relationship between metacognitions and these three behavioral addictions (IGD, CSBD and PSNU). In Study 1 (n = 471), we examined whether online gaming thought suppression and impulsiveness mediate the relationship between metacognitions and IGD. In Study 2 (n = 453), we examined whether sex thought suppression and impulsiveness mediate the relationship between metacognitions and CSBD. In Study 3 (n = 1004), we examined whether social media thought suppression and impulsiveness mediate the relationship between metacognitions and PSNU. Results of path analysis indicated, across the three studies, the importance of both thought suppression and impulsiveness as mediators between metacognitions and the three behavioral addictions (IGD, CSBD and PSNU) being investigated. These findings provide an opportunity for therapists as well as educators to gain a better insight into the link between metacognitions, thought suppression, impulsiveness, and behavioral addictions as part of developmental behavior among adolescents

    The effect of sodium benzoate on blood ammonia response to oral glutamine challange in cirrhotic patients: a note of caution

    No full text
    OBJECTIVE: The administration of sodium benzoate provides an alternative pathway for the disposal of waste nitrogen and this substance has been used to treat patients with urea cycle defects and more recently cirrhotics with hepatic encephalopathy. The aim of the study was to assess the ammonia-lowering effect of benzoate in cirrhotic patients without overt hepatic encephalopathy. METHODS: Glutamine challenge, a method to induce an increase of blood ammonia, was performed in six cirrhotics before and after 5 days of benzoate treatment (10 microg/day). Number Connection Test and Posner's Attention Test were also performed before and after benzoate treatment. RESULTS: Blood ammonia increased after the glutamine load both before (from 66 +/- 12 microg/dl to 123 +/- 34 microg/dl and 179 +/- 53 microg/dl after 30 and 60 min, respectively; ANOVA p = 0.0004) and after benzoate treatment (from 102 +/- 27 microg/dl to 185 +/- 49 microg/dl and 250 +/- 39 microg/dl after 30 and 60 min, respectively; ANOVA p = 0.00001). However, after benzoate treatment, the basal values (102 +/- 27 vs 66 +/- 12 microg/dl; p = 0.01) and peak increments of ammonia (166 +/- 56 microg/dl vs 102 +/- 40 microg/dl; p = 0.04) were significantly higher than before. The Number Connection test and the Posner's test were not altered by benzoate treatment. CONCLUSIONS: Benzoate increased both the basal and post-glutamine ammonia levels. These results confirm what has already been observed in experimental animals and suggest a note of caution in the use of sodium benzoate in cirrhotic patients Am J Gastroenterol 95; 3275-3280, 200

    Is hyperammonemia really the true cause of altered neuropsychology, brain MR spectroscopy and magnetization transfer after an oral amino acid load in cirrhosis?

    No full text
    In conclusion, the report is an important contribution to the brain swelling hypothesis of HE, but we have some doubts that all the alterations observed may be attributed merely to ammonia. Ammonia still remains the “principal suspect” in the pathogenesis of HE, but the identification of the “accomplices” continues to be an important area of investigation. (Letter to the Editor

    A Data Mining Approach to the Analysis of Students' Learning Styles in an E-Learning Community: A Case Study

    No full text
    In recent years, there has been a radical change in the world of education and training that is causing that many schools, universities and companies are adopting the most modern technologies, mainly based on Web architectures and Web 2.0 instruments and tools, for learning, managing and sharing of knowledge. In this context, an e-Learning system can reach its maximum potential and effectiveness if it could take advantage of the information in its possession and process it in an intelligent and personalized way. The Educational Data Mining is an emergent field of research where the approach to personalization makes use of the log data generated by learners during their training process, to dynamically update users learning profiles such as skills and learning styles and identify students behavioral patterns. In this paper we present a case study of a data mining approach, based on cluster analysis, in order to support the detection of learning styles in a community of learners, following the Grasha-Riechmann learning styles model. As an e-learning framework we used the Moodle LMS platform and studied the log files generated by a course taken by a community of learners. The first experimental results suggest a connection between clusters and learning styles, reinforcing the use of this approach
    corecore