Predicting problematic smartphone use over time in adolescence
a latent class regression analysis of online and offline activities
Informazioni aggiuntive
Autori
Camerini A. L.,
Gerosa T.,
Marciano L.
Tipo
Articolo pubblicato in rivista scientifica
Anno
2020
Lingua
Inglese
Sommario
Despite today’s ubiquitous nature of smartphones among adolescents, little is known about behavioral online and offline longitudinal predictors of problematic smartphone use (PSU). Guided by Uses and Gratifications Theory, we applied latent class analysis on survey data collected in 2017 from a cohort of 1096 adolescents (Mage = 12.4, SDage = .56) and regressed PSU measured one year later on class membership, controlling for socio-demographic characteristics, social desirability, and autoregressive effects. We extracted four distinct classes: social-recreational onliners (n=228), weekend onliners (n=331), balanced (n=404), and noninvolved (n=153). Characterised by significantly more time spent online for recreational and social networking activities, both during weekdays and weekend days, as well as less time for sleep, the social-recreational onliners class showed significantly higher levels of PSU over time. Future studies should assess not only duration but also the frequency of daily online activities to provide further insights on behavioral predictors of PSU.
Parole chiave
Problematic smartphone use, Adolescents;, Online and offline behavior, Latent class, Longitudinal
Periodico
New Media & Society
Volume
23
Numero ( Mese )
11
Pagine (o numero dell’articolo)
3229-3248
Diffusione
Licenza
Licenza non definita
Visibilità
Pubblico
Status open access
Green
