Objectives: Racial-ethnic minority youth face multiple types of victimization associated with negative developmental outcomes. The present study examined the interplay of youth experiences of online and offline bullying/harassment and racial-ethnic discrimination across three waves. Methods: Racial-ethnic minority adolescents aged 10-19 (N = 735) at Midwest schools were surveyed yearly on Internet usage and experiences, mental well-being, and related risk and protective factors. We analyzed offline and online bullying/harassment, offline and online racial-ethnic discrimination, and time online in an autoregressive cross-lagged panel model. Results: Youth who reported more of one type of victimization also reported more of other victimization types and more time online concurrently. Our results show some (but not consistent) influences over time. Youth who experienced more offline bullying/harassment at wave 1 were more likely to report more wave 2 victimization in another context (online bullying/harassment) and in other content (offline racial-ethnic discrimination), although these associations did not appear in the second wave. Youth who reported more online bullying/harassment at wave 2 also experienced increased risk for offline bullying/harassment at wave 3. Youth who reported more time online were not more likely to experience later victimization, though youth who experienced more wave 1 offline bullying/harassment were more likely to report more next-wave time online. Conclusions: Racial-ethnic minority youth simultaneously and persistently face multiple types of victimization. Offline bullying/harassment interventions may have the added benefit of reducing other forms of victimization down the road, while reducing time online alone is unlikely to protect youth. Public Significance StatementWe examined multiple types of victimization and time spent online at three yearly surveys in racial/ ethnic minority adolescents. We found that youth simultaneously experienced bullying/harassment and racial-ethnic discrimination both offline and online, they continued to be victimized in the same way over multiple years, those who reported experiencing more offline bullying/harassment at the first survey reported more offline discrimination and more online bullying/harassment the next wave, and time online was related concurrently, but not over time, to victimization. Our results suggest that interventions for offline bullying/harassment might prevent other types of victimization later but simply reducing time online does not appear to be an effective strategy for protecting adolescents from victimization in a digital age.
This study investigates whether interpersonal coordination of language style in written text message communication relates to past-year depressive symptoms and lifetime major depressive disorder (MDD) in young adults. Consistent with application of Joiner's integrative interpersonal framework to interpersonal coordination, we hypothesized that students with more experiences of depression, and their conversation partners, would engage in less interpersonal coordination in text messages (indexed by reciprocal language style matching of function words; rLSM). College students at a large southeastern university ( N = 263) contributed two weeks of text messages in 2014−2015, alongside a mental health survey. Texts were filtered to dyads that used formal English (207,942 talk turns), accommodating limitations of LSM measurement. Structural equation models showed that students with more past-year depressive symptoms and lifetime MDD coordinated more (opposite the hypothesized direction of effect). Implications for interpersonal processes in depression and measurement of rLSM in text messages are discussed.
Adolescent externalizing and health risk behaviors are some of the leading causes of morbidity and mortality among young people (Blum & Qureshi, 2011;Kann et al., 2018) and are of significant public health concern. Adolescence is a key period for understanding these types of behaviors, as they tend to emerge and peak in this stage (Claxton & van Dulmen, 2013;Krieger et al., 2018). Importantly, adolescence is not only a key risk corridor for risky and problem behaviors, but also for entry into new social and digital spaces; most social networking sites (and their regulators) set age 13 as the age at which youth can have their own accounts (Jargon, 2019). Co-construction theory (Subrahmanyam et al., 2006) asserts that adolescents create (and co-create) their online worlds and experiences to match developmental needs, and thus we should not be surprised that adolescents' developmentally appropriate affinities for risk taking, boundary testing, and affiliation would all manifest in some form in digital spaces, and that digital activities and offline behaviors would be mutually influential.How youth digital media use and externalizing/risk-taking behaviors intersect is somewhat more complicated. In many domains, adolescent rates of health risk behaviors (substance use, sexual risk taking, violence perpetration) are at their lowest levels in decades (Lewycka et al., 2018;Twenge & Park, 2017), which some have asserted may be related to the proliferation of digital media and displacement of time (previously spent engaging in risk behaviors) in favor of time online and new forms of leisure, entertainment, and relationship formation (Kraut et al., 1998). Others have posited that youth engagement in online communities allows for covert or hidden coordination or reinforcement of deviancy and rule breaking, and thus technology may be linked with increased problem behavior (Ehrenreich & Underwood, 2016). In fact, the associations are not always straightforward, and thus this chapter seeks to summarize and integrate the research findings that have been published to date on these mutual influences and the mechanisms that underlie them.
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