The Influence of Online-Only Friends on the Substance Use of Young Adults with a History of Childhood Maltreatment

Negriff, Sonya

doi:10.1080/10826084.2018.1508299

Cited by 6 publications

(5 citation statements)

References 38 publications

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“…We also examined predictors of substance use in online interactions and found that online-only friends potentially influence offline behavior. Specifically, having a higher number of online-only friends who were substance users was associated with higher substance use in our participants (Negriff, 2019b). Clearly, further examination of online contexts is integral to creating a more complete understanding of the various influences on risk behavior.…”

Section: Summary Of Research Findings To Datementioning

confidence: 88%

The Young Adolescent Project: A longitudinal study of the effects of maltreatment on adolescent development

et al. 2019

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The Young Adolescent Project (YAP) is an ongoing longitudinal study investigating the effects of abuse and neglect on adolescent development. It is a multidisciplinary study guided by a developmental, ecological perspective, and designed to consider the physical, social, and psychological effects of childhood maltreatment through the transition from childhood to adolescence. Four waves of data collection have been completed, ranging from early (Mean age = 10.95) to late adolescence (Mean age = 18.24). Members of the maltreated group (n = 303) were selected from new cases that had been opened by the Department of Child and Family Services, whereas the comparison group (n = 151) were not involved with child welfare but lived in the same neighborhoods as the maltreated group. The study assessed a wide variety of domains including physical development (e.g., height, weight, body mass, pubertal development); physiological reactivity (e.g., cortisol); cognitive abilities; mental health (e.g., symptoms of depression, anxiety, trauma, and aggression); risk behavior (e.g., sexual activity, delinquency, or substance use); social development (e.g., self-esteem, competence, and social support); family environment; and exposure to community violence. Overall, our findings demonstrated the pervasive and persistent adverse effects of child maltreatment both within and across domains, but they also identified maltreated youth with positive functioning. Our hope is that this work will help move us toward identifying targets for intervention to cultivate resilience and positive adaptation after early maltreatment experiences.

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Section: Summary Of Research Findings To Datementioning

confidence: 88%

The Young Adolescent Project: A longitudinal study of the effects of maltreatment on adolescent development

et al. 2019

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“…In all cases, online peer influence was of lesser magnitude than traditional (face-to-face) peer influence. Another study has similarly failed to find support for unique influence by online-only friends on marijuana use (Negriff, 2019).…”

Section: Unique Online Influences?mentioning

confidence: 99%

Digital Media in Adolescent Health Risk and Externalizing Behaviors

Jensen¹,

Weinstein²,

Brown³

et al. 2022

Handbook of Adolescent Digital Media Use and Mental Health

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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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“…Additionally, most prior work has been unable to test for the unique effect of one's collective online group, meaning restricting focus to peers who have never been met in person omits part of the cyber context (e.g., offline weak ties who become intimate online friends) and examining online peers as a whole ignores the fact that many adolescents befriend people online who are the same friends offline. In one of the few studies isolating unique online effects, Negriff (2019) initially found a strong association between online-only friends who smoke marijuana and self-reported substance use; however, this association disappeared after controlling for offline friends. Finally, controlling for temporal ordering can help ensure the validity of the findings.…”

Section: Offline Consequences Of Online Socializationmentioning

confidence: 99%

Peer Delinquency among Digital Natives: The Cyber Context as a Source of Peer Influence

McCuddy

2020

Journal of Research in Crime and Delinquency

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Objectives: This study examines the influence of online peers who are not regularly seen in person by considering if online, pro-delinquent support is associated with self-reported delinquency independently of delinquent peers. Methods: Data come from a longitudinal, panel survey of two cohorts of middle and high school students located within six school districts (N = 1,177). Analyses first examine the overlap between online peer support for delinquency and perceived peer delinquency. Next, models consider how measures of online peer support for delinquency are associated with the prevalence (logit), variety (negative binomial), and changes (first difference) in self-reported delinquency. Results: Online peers generally do not enable exposure to new messages supportive of delinquency; rather, they supplement influences derived from delinquent peers. Little evidence was found that online peer support was associated with general delinquency and violence, although changes in online peer support were associated with changes in these outcomes. Partial evidence was found that online peers are associated with the prevalence, variety, and changes in self-reported theft and substance use. Conclusions: The influence from unique online peers is largely secondary to offline peers, although this depends upon the crime type under investigation.

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The Influence of Online-Only Friends on the Substance Use of Young Adults with a History of Childhood Maltreatment

Cited by 6 publications

References 38 publications

The Young Adolescent Project: A longitudinal study of the effects of maltreatment on adolescent development

The Young Adolescent Project: A longitudinal study of the effects of maltreatment on adolescent development

Digital Media in Adolescent Health Risk and Externalizing Behaviors

Peer Delinquency among Digital Natives: The Cyber Context as a Source of Peer Influence

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