110839 20240319081000.0 doi 10.1016/j.chb.2022.107201 sideral 127587 ART-2022-127587 eng Lozano-Blasco, Raquel Universidad de Zaragoza (orcid)0000-0002-0100-1449 Internet addiction in young adults: A meta-analysis and systematic review 2022 Access copy available to the general public Unrestricted Internet addiction, although not recognized by the WHO or the APA, is a serious and problematic pathology. This meta-analysis shows that the incidence of Internet addiction in adults was high in recent years (2017–2020). The effect size returned according to the random effects model is Z = 24.63; SE = 0.205; p = .001. In addition, high heterogeneity is evident in the research addressing this topic (Q = 1240.719, df = 36, p < .001; I2 = 97.09%). On the other hand, the Eggers test indicated an absence of publication bias. The sample consisted of 30 studies with k = 37 samples from Europe, Asia, America and Oceania. The total sample was constituted by 21,378 participants (51.22% male, 48.78% women; Mean age = 23.55 years). The statistical analyses of meta-regression and model comparison show a complex problem at the international level, explained by age and sex, and apparently also by geographical area. The results of the systematic review show the increase of internet addiction in the new generations, with other variables playing a relevant role, such as: Increase of individualism, lower sociability and enculturation. We conclude highlighting the need to address this problem from a public health approach. info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 9.9 2022 PSYCHOLOGY, MULTIDISCIPLINARY 8 / 147 = 0.054 2022 Q1 T1 PSYCHOLOGY, EXPERIMENTAL 3 / 89 = 0.034 2022 Q1 T1 2.464 2022 Arts and Humanities (miscellaneous) 2022 Q1 Psychology (miscellaneous) 2022 Q1 Human-Computer Interaction 2022 Q1 17.8 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Robres, Alberto Quilez Universidad de Zaragoza (orcid)0000-0001-8473-8114 Soto Sánchez, Alberto 4009 735 Universidad de Zaragoza Dpto. Psicología y Sociología Área Psicolog.Evolut.Educac 4001 625 Universidad de Zaragoza Dpto. Ciencias de la Educación Área Métod.Invest.Diag.Educac. 130 (2022), 107201 [10 pp.] Comput. hum. behav. COMPUTERS IN HUMAN BEHAVIOR 0747-5632 2081069 http://zaguan.unizar.es/record/110839/files/texto_completo.pdf Versión publicada 2767441 http://zaguan.unizar.es/record/110839/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:110839 articulos driver 2024-03-18-14:04:09 ARTICLE