2020
DOI: 10.1007/s00787-020-01675-5
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Screen time and psychopathology: investigating directionality using cross-lagged panel models

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Cited by 6 publications
(5 citation statements)
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“…Mood state (i.e., anger and confusion) and poor sleep quality predicted smartphone use in young adults before the COVID-19 pandemic [16] . Furthermore, in children and adolescents from the Brazilian High-Risk Cohort for Psychiatry Disorders, more baseline psychological symptoms predicted the highest levels of screen time at follow-up; however, screen time did not predict psychopathology [4] . Future research may examine whether an underlying variable, such as mood state or a psychological condition, functioned as an explanatory factor for the varied findings in the current systematic review.…”
Section: Discussionmentioning
confidence: 74%
“…Mood state (i.e., anger and confusion) and poor sleep quality predicted smartphone use in young adults before the COVID-19 pandemic [16] . Furthermore, in children and adolescents from the Brazilian High-Risk Cohort for Psychiatry Disorders, more baseline psychological symptoms predicted the highest levels of screen time at follow-up; however, screen time did not predict psychopathology [4] . Future research may examine whether an underlying variable, such as mood state or a psychological condition, functioned as an explanatory factor for the varied findings in the current systematic review.…”
Section: Discussionmentioning
confidence: 74%
“…In the screen time literature, methodological differences have likely contributed to the conflicting findings: effect sizes may differ based on the statistical analyses conducted, how variables are measured, and whether data are cross-sectional or longtudinal . Effect sizes may also vary as a function of child sex (eg, sex differences in the associations of screen time with behavior problems), child age (eg, association of increased screen use with increasing age among children), and socioeconomic risk (eg, association of increased screen use with behavior problems in the context of low socioeconomic status) . Identifying when and for whom correlations are stronger or weaker may inform the ongoing screen time debate and help develop targeted interventions for children most at risk for potential behavior problems associated with screen time.…”
Section: Introductionmentioning
confidence: 99%
“…As for digital screens, a previous study from our group also suggests that psychopathology influences future technology use, rather than the other way around (Bado et al, 2020).…”
Section: Discussionmentioning
confidence: 73%