000110839 001__ 110839 000110839 005__ 20240319081000.0 000110839 0247_ $$2doi$$a10.1016/j.chb.2022.107201 000110839 0248_ $$2sideral$$a127587 000110839 037__ $$aART-2022-127587 000110839 041__ $$aeng 000110839 100__ $$0(orcid)0000-0002-0100-1449$$aLozano-Blasco, Raquel$$uUniversidad de Zaragoza 000110839 245__ $$aInternet addiction in young adults: A meta-analysis and systematic review 000110839 260__ $$c2022 000110839 5060_ $$aAccess copy available to the general public$$fUnrestricted 000110839 5203_ $$aInternet 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. 000110839 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000110839 590__ $$a9.9$$b2022 000110839 592__ $$a2.464$$b2022 000110839 591__ $$aPSYCHOLOGY, MULTIDISCIPLINARY$$b8 / 147 = 0.054$$c2022$$dQ1$$eT1 000110839 593__ $$aArts and Humanities (miscellaneous)$$c2022$$dQ1 000110839 591__ $$aPSYCHOLOGY, EXPERIMENTAL$$b3 / 89 = 0.034$$c2022$$dQ1$$eT1 000110839 593__ $$aPsychology (miscellaneous)$$c2022$$dQ1 000110839 593__ $$aHuman-Computer Interaction$$c2022$$dQ1 000110839 594__ $$a17.8$$b2022 000110839 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000110839 700__ $$0(orcid)0000-0001-8473-8114$$aRobres, Alberto Quilez$$uUniversidad de Zaragoza 000110839 700__ $$aSoto Sánchez, Alberto 000110839 7102_ $$14009$$2735$$aUniversidad de Zaragoza$$bDpto. Psicología y Sociología$$cÁrea Psicolog.Evolut.Educac 000110839 7102_ $$14001$$2625$$aUniversidad de Zaragoza$$bDpto. Ciencias de la Educación$$cÁrea Métod.Invest.Diag.Educac. 000110839 773__ $$g130 (2022), 107201 [10 pp.]$$pComput. hum. behav.$$tCOMPUTERS IN HUMAN BEHAVIOR$$x0747-5632 000110839 8564_ $$s2081069$$uhttps://zaguan.unizar.es/record/110839/files/texto_completo.pdf$$yVersión publicada 000110839 8564_ $$s2767441$$uhttps://zaguan.unizar.es/record/110839/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000110839 909CO $$ooai:zaguan.unizar.es:110839$$particulos$$pdriver 000110839 951__ $$a2024-03-18-14:04:09 000110839 980__ $$aARTICLE