Patterns of Online Activities and Related Psychosocial Factors in Adolescence: a Latent Class Analysis.
Special attention should be paid to the types of online activities in which adolescents engage, along with frequencies of the activities. Thus, we aimed to identify homogeneous subgroups of adolescents using five online activities and to examine differences in 12 characteristics across the subgroups...
| Publicado en: | International Journal of Mental Health & Addiction Vol. 17; no. 5; pp. 1147 - 1162 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Oct2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=139137846&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 139137846 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 15571874 46AW jtl: International Journal of Mental Health & Addiction issn: 15571874 maglogo: N pubinfo: dt: Oct2019 vid: 17 iid: 5 pid: 237 pub: Springer Nature artinfo: ui: 139137846 10.1007/s11469-018-0035-1 ppf: 1147 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P size: 561KB tig: atl: Patterns of Online Activities and Related Psychosocial Factors in Adolescence: a Latent Class Analysis. aug: au: Park, Sunhee Lee, Haein affil: College of Nursing Science, East-West Nursing Research Institute, Kyung Hee University, 26 Kyunghee-daero, Dongdaemun-gu, 02447, Seoul, Republic of Korea College of Nursing, Research Institute of Nursing Science, Catholic University of Daegu, 33 Duryugongwon-ro 17-gil, Nam-gu, 42472, Daegu, Republic of Korea su: South Korea Psychosocial factors Adolescence Time management Computer surveys Secondary analysis sug: subj: Psychosocial factors Adolescence Time management South Korea Computer surveys Secondary analysis keyword: Adolescents Internet use Korean Children and Youth Panel Survey Latent class analysis Online activities Typology of Internet users Adolescents Internet use Korean Children and Youth Panel Survey Latent class analysis Online activities Typology of Internet users ab: Special attention should be paid to the types of online activities in which adolescents engage, along with frequencies of the activities. Thus, we aimed to identify homogeneous subgroups of adolescents using five online activities and to examine differences in 12 characteristics across the subgroups we identified. We cross-sectionally analyzed nationally representative secondary data collected in Korea (N = 1827 adolescents who used a computer at the time of the survey). We performed latent class analysis, which is a person-centered approach, to understand the patterns of online activities in adolescence. A three-latent-class model best fit the data: frequent use for academics (FUA), non-frequent use for all activities (NFUAA), and frequent use for multiple activities (FUMA). In general, the FUA class differed from the other two classes. Specifically, the FUA class spent less time online and had better psychosocial conditions. Given these findings, health professionals should implement strategies aimed at assisting (a) adolescents to be aware that some types of online activities can potentially pose a risk to their psychosocial conditions and (b) parents to actively participate in guiding children's Internet use. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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