A search of PubMed, CINAHL, Web of Science, Scopus, and Google Scholar was conducted on the search phrase of "medical students" and "internet addiction" in March 2020. As medical students use the Internet extensively for work, we asked how researchers control for work-related Internet activity, and the extent to which this influences interpretations of "addiction" rates. Internationally, medical students' Internet Addiction (IA) is widely studied. This is an open access article under the CC BY-SA license. The findings obtained as a result of the validity factor analysis and the reliability of the scale show that the Albanian scale is valid and reliable. In confirmatory factor analysis, it was seen that the one-dimensional structure of the scale provided a good fit. The Kaiser-Meyer-Olkin coefficient (KMO) was 0.82 and the Bartlett x2 Sphericity value was 605,874 (p<.000). It was observed that the factor load values of the scale items varied between. In addition, the Cronbach Alpha internal srability coefficient was found to be.
The verification of language equivalence, the scale form was administered to 164 university students studying at AAB College Faculty of Psychology and 61 High School students studying at the British School of Kosovo (altogether 245). This study employed "Internet Addiction Scale for Adolescents" to determine internet addiction. The aim of this study was to verify the dimensions of Internet addiction in Albanian. In conclusion, although the addiction to social networks is related to procrastination behaviour, it is considered that they could be a useful resource in the initial training process of undergraduates. However, there were no significant differences between the groups with respect to academic performance. Significant differences were found between the three latent profiles in academic procrastination, showing that the higher the addiction to social networks, the higher the procrastination behaviour. The results showed three profiles regarding the excessive use of social networks: low addiction, moderate addiction and high addiction. Profiles were identified through Latent Profile Analysis and differences between groups were analysed through the three-step Bolck-Croon-Hagenaars method. The Social Network Addiction Questionnaire and the Spanish version of the Procrastination Assessment Scale-Student test were used. A total of 1784 students from 24 Spanish universities took part in the study. The aims of this study are a) to identify profiles of students with similar values in excessive use, lack of control and obsession with social networks, and b) analyse whether there are significant differences in procrastination behaviours and academic performance of the identified profiles. In the university context, they can lead to academic procrastination behaviour and undermine students’ academic performance.
Social networks are a source of distraction in personal, academic, and professional tasks.