Abstract
Purpose of Review
Adolescents often engage in elevated levels of risk taking that gives rise to substance use. Family and peers constitute the primary contextual risk factors for adolescent substance use. This report reviews how families and peers influence adolescent neurocognitive development to inform their risk taking and subsequent substance use.
Recent Findings
Developmental neuroscience using functional magnetic resonance imaging (fMRI) has identified regions of the brain involved in social cognition, cognitive control, and reward processing that are integrally linked to social influence on adolescent risk taking. These neural mechanisms play a role in how peer and family influence (e.g., physical presence, relationship quality, rejection) translates into adolescent substance use.
Summary
Peers and families can independently, and in tandem, contribute to adolescent substance use, for better or for worse. We propose that future work utilize fMRI to investigate the neural mechanisms involved in different aspects of peer and family influence, and how these contexts uniquely and interactively influence adolescent substance use initiation and escalation across development.
Keywords: substance use, adolescent brain development, fMRI, peer influence, family influence, risk taking
Introduction
Adolescence is a time of heightened vulnerability for risk-taking behavior that gives rise to substance use [1], one of today’s most important societal concerns as it contributes to a host of serious immediate and long term outcomes. Indeed, morbidity and mortality rates increase 300% from childhood to adolescence [2] with over 70% of adolescent deaths each year due to risk-taking behaviors such as smoking, alcohol and drug use, car accidents, and unsafe sexual intercourse [3]. These consequences are particularly concerning during adolescence, a critical time for substance use initiation and experimentation. For example, lifetime illicit drug use more than doubles and current drug use more than triples from 8th to 12th grade [4].
Adolescents’ decisions to use substances are impacted by a variety of social influences and are integrally linked to various social psychological processes. Family and peers constitute the primary contextual risk factors for adolescent substance use [5]. While peer influence and conformity to risky behaviors increase from childhood to early adolescence, before declining again in early adulthood [6–8], family factors remain a significant source of influence throughout childhood and adolescence [9], despite the salience of parental influences purportedly receding [10–11]. Thus, although peer influence becomes highly salient during adolescence, family relationships continue to shape adolescents’ risk-taking behaviors without being supplanted by peers.
The family is the first and primary social group to which individuals belong, and many have argued that the family is the most important factor in the development of problem behaviors, such as substance use [12]. A wide range of familial variables impact adolescent substance use, including the quality of the relationship, parental monitoring, marital discord, parental depression, and parents’ own attitudes about and use of drugs [9, 13]. According to social control theories, adolescents who are close to their parents feel obligated to act in non-deviant ways to please their parents, whereas adolescents in conflictual families do not feel obligated to conform to their parents’ expectations and will be more likely to experiment with substance use [14]. Thus, the quality of family relationships impacts adolescents’ substance use behaviors directly (i.e., actively choosing not to engage in the behavior), and indirectly by adolescents’ avoidance of deviant peers thereby decreasing their exposure to substance use opportunities.
As children enter adolescence, they spend increasing amounts of time with their peers without adult supervision and tend to engage in more risky behaviors during unsupervised time in the presence of their peers [15]. Perhaps the strongest predictor of adolescent substance use is affiliation with deviant peers [13]. When adolescents’ friends use drugs, they are more likely to initiate substance use themselves, whereas they are unlikely to use substances if none of their friends do so [14]. According to Sutherland’s differential association theory [16], adolescents will learn from and be socialized to use substances if they associate frequently with peers who have favorable attitudes towards drugs. Thus, not only do deviant peers provide greater opportunities to engage in substance use, but they convey valued social norms and attitudes regarding substance use, thereby increasing adolescents’ motivation and rationalization to engage in substance use [12]. Of course, there are selection effects too, such that adolescents who use drugs tend to choose friends who also use drugs [14]. Together, significant research highlights adolescence as a period when both peers and parents play an important role in adolescents’ initiation and escalation of substance-use behavior.
Adolescent Brain Development
Emerging evidence from developmental neuroscience suggests that risk-taking behavior increases during adolescence partly due to changes in the brain’s neural circuitry. In the last decade, there has been an explosion of research examining the neurodevelopment of the human adolescent brain. These studies revolutionized our understanding of adolescent decision making and challenged traditional views that the rise in risky behavior during adolescence occurs because adolescents are irrational or deficient in their decision-making capacities [17]. Rather, adolescents demonstrate unique sensitivity to social and affective contexts, perhaps as a result of the remodeling of the brain during puberty [18–19]. Based on developmental cognitive neuroscience research, we now know that the teenage brain is rapidly changing and adapting to its environment. The dramatic changes in brain development that occur in adolescence can be both an opportunity for learning, skill acquisition, and social development [20], but also a vulnerability for heightened social influence and an orientation to social rewards that increase susceptibility to drug use.
Several prominent models of adolescent brain development have been proposed to describe adolescent risk-taking behaviors. The Imbalance Model [21–22], similar to the Dual Systems Model [17], suggests that a maturational imbalance between development of cognitive control and affective reward systems underlies adolescents’ increased risk taking. The subcortical network, comprising neural regions associated with the valuation of rewards (e.g., ventral striatum (VS), orbitofrontal cortex (OFC), ventromedial PFC; Figure 1), matures relatively early, leading to increased reward seeking during adolescence, whereas the cortical network, comprising neural regions involved in higher order cognitive control (e.g., ventrolateral and medial prefrontal cortices (VLPFC, mPFC); Figure 1), gradually matures over adolescence and into adulthood. The temporal gap between early development of the subcortical socioemotional system and later development of the cognitive control system is thought to create a developmental window of vulnerability for risk taking in adolescence [17]. In particular, overreliance on subcortical, reward-related regions drives adolescents to seek out rewards in their environment at a developmental period when self-control is still maturing and unable to effectively down-regulate the heightened drive for rewards, resulting in a peak in risk-taking behavior observed in adolescence.
Figure 1.
Brain regions involved in social cognition (green), cognitive control (blue), and reward processing (red).
Supporting adolescents’ heightened social sensitivity, a growing body of literature has examined neural systems involved in social cognition [23] with a particular focus on the social brain [24]. The Social Brain model highlights a set of neural networks that code for the ability to think about others’ mental states such as their thoughts and feelings, to use such information to inform one’s own behaviors, and to predict what another person will do next during a social interaction [24–26]. Neural regions in the social brain include the medial prefrontal cortex (mPFC), posterior superior temporal sulcus (pSTS), and temporal parietal junction (TPJ) (see Figure 1). Most prior theory and research examining adolescent risk taking has largely focused on affective and cognitive control neural networks (i.e., dual systems model); however, incorporating the Social Brain model into our understanding of adolescent risk taking can provide deeper insight into the complex interactions among social, cognitive, and affective processing that occur during this developmental period. As demonstrated in Figure 1, we highlight the key regions involved in adolescent risk taking and social cognition.
Despite recent calls to pay greater attention to the social context when examining adolescent neurocognitive development [27–28], surprisingly little research has carefully examined how neurobiological development interacts with fundamental social processes during the adolescent period. This is a critical limitation given that adolescents’ decision making does not occur in a social vacuum. Adolescents spend most of their day with others–classmates, friends, family, and teachers–and their decisions are usually made under conditions of socio-emotional arousal [29]. In the following sections, we review literature linking two of the most important social relationships–family and peers–to adolescent neurocognition and risk for substance use.
Neural correlates of peer influence on risk taking and substance use
A large body of epidemiological literature describes a sharp rise in risk-taking behaviors, such as smoking, substance use, and risky driving, when adolescents are with their peers [30–32]. In early adolescence, those with a history of problem behaviors often flock together in deviant peer groups, engaging in daily social interactions that further amplify problem behaviors [33–35]. Experimental studies support these real-world findings and show increased risky and impulsive decisions in the laboratory when adolescents are accompanied by their friends (i.e., implicit peer influence) or receive peer feedback (i.e., explicit peer pressure to take risks) [7, 29, 36–38].
Negative peer influence increases adolescent risk taking by modulating neural processes involved in reward sensitivity, cognitive control, and the social brain. One particularly influential functional magnetic resonance imaging (fMRI) study examined the neural correlates of peer presence (i.e., implicit peer influence) on simulated driving behavior in adolescents, young adults, and adults [36]. Adolescents engaged in significantly more risky driving in the presence of their friends, an effect that was not found in young adults or adults, and this was modulated via increased activity in the ventral striatum with friends present, suggesting that peer presence may make risks more rewarding during adolescence [36]. In another study testing the role of risk-encouraging peers (i.e., explicit peer pressure), adolescents were examined in a driving simulation using electroencephalography (EEG) [39]. Adolescents who reported greater sensation seeking were riskier in the presence of their peers, and this was modulated by reduced mPFC activity when adolescents played in the presence of peers as compared to alone [39]. Collectively, neuroimaging studies highlight that risky behaviors may be more rewarding [36], whereas cognitive control may be compromised [39], in the context of peers during adolescence.
Another way in which peers negatively impact risk-taking behaviors is through peer rejection, a highly prevalent stressor with 41% of adolescents reporting peer exclusion in the past two months [40]. Neuroimaging research has examined how peer exclusion modulates risk-taking behavior and the neural processing of risks. After an acute instance of peer exclusion, adolescents display greater activation in social brain regions (mPFC and TPJ) while making safe decisions, as well as greater activation in the TPJ when making risky decisions [41]. Extending this work to real-life risk taking, another study found that brain activity in social brain regions (dmPFC and TPJ) during an episode of acute peer exclusion predicted increased risk taking in the presence of a peer during a driving simulation one week later [42]. Together, these studies suggest that peer exclusion may increase mentalizing about the beliefs and norms of peers, a process involving the recruitment of social brain regions. Consequently, this process may lead to adolescents engaging in higher rates of risk-taking behavior in order to fit in with expected group norms for peer acceptance.
For some adolescents, peer rejection is not incidental but rather a chronic childhood experience. Building upon previous work, we found that adolescents who were chronically victimized as children showed significantly greater increases in risk taking following acute social exclusion [43]. This increase in risk taking was paralleled by enhanced activation in the same social brain regions (mPFC and TPJ) when making both risky and safe decisions during the driving simulation, compared to a non-victimized control group. Further, brain activation in the social brain mediated victimization group differences in risk taking. Perhaps chronically victimized adolescents heavily focus on peer approval and try to gauge peer opinions to preemptively adjust their behavior, during which these mentalizing regions are recruited [43]. Youth experiencing chronic peer victimization [43] and peer conflict [44] also show greater activation in the VS when making risky choices, suggesting that the expected value of risk taking is heightened in youth who have a history of peer stress. This work provides support that peer rejection leads to increases in risk taking via brain activity in affective regions as well as social cognition regions, reflecting anticipation of social reward (i.e., peer approval) and mentalizing about peer opinions.
Fortunately, recent research suggests that peers are not always associated with negative effects. Whereas peer conflict increases risk-taking behavior via enhanced activation in the VS, high levels of peer support can buffer these effects [44], underscoring the important, protective role of supportive friends in the context of negative peers. Another study showed the positive effects of peers by investigating risky driving in a simulator in the presence of either a risky or a cautious peer. Results showed that activation of the cognitive control network during a response inhibition task predicted safer driving in the presence of a cautious peer compared to a risky peer one week later [45]. These studies provide evidence that supportive peer relationships can buffer potential negative peer effects, processes that may also mitigate substance use in youth. Due to small sample sizes, and the nascence of developmental social neuroscience, little attention has been directed towards examining sex differences in brain response to peer influence. However, some evidence is emerging, suggesting different developmental trajectories between boys and girls in their neural response to peer evaluation as well as winning money for peers [47].
Neural correlates of family influence on risk taking and substance use
Although adolescent development typically encompasses a social reorientation toward peers [17] and spending less time with parents [48], families still remain an important source of influence on adolescent decision making and substance use. For example, adolescents with strong familial values are less likely to use substances such as cigarettes, alcohol, and marijuana [49]. In addition to family values, parental involvement, sibling companionship, as well as overall low levels of family conflict and high family cohesion, have the potential to buffer adolescents from substance use [50–51]. Thus, positive family environments can protect adolescents against the initiation and maintenance of substance use.
The meaningfulness of families is manifested as a neurobiological endophenotype [52], suggesting that the family context may wire adolescents to respond to their social environments in specific ways. For example, adolescents with strong familial values show suppressed activation in the VS during risk taking as well as greater activation in the PFC during cognitive control [53]. Importantly, suppressed VS activation is associated with less risk taking and heightened PFC activation with better decision-making skills [53]. Thus, adolescents who place greater value on familial values may be less likely to take risks, such as substance use, because they find risks less rewarding and are better able to avoid the impulse to engage in such behaviors. Relationship quality between parents and adolescents also influences adolescent decisions to take risks, such that greater closeness with parents across adolescence predicts longitudinal declines in the VS during risk taking [50]. Importantly, declines in the VS mediate links between parent-adolescent relationship quality and later declines in risk taking, suggesting that parent relationship quality contributes to less risk taking through deactivation in the VS in response to rewards. These studies provide support that families, particularly parents, can positively influence adolescents to not engage in substance use through the brain by maintaining positive relationships and transmitting family values.
Although parents tend to reduce their supervision of their children as youth enter adolescence, parental monitoring remains a key influence on adolescents’ decisions to avoid risk taking. For example, in the presence of their mother, adolescents make less risky choices compared to when alone, and they recruit the VS less during risky decision making [54], a phenomenon specific to mothers and not other adults [55]. In addition, the presence of mothers is associated with greater activation in the lateral PFC and a social brain region, the mPFC, as well as greater coupling between the VS and PFC during safe decision-making [54]. These results indicate that parental influence has the potential to reorient neural circuitry toward more controlled and safe decision-making and highlight the potential of families to provide a protective and positive influence in preventing adolescent substance use.
Unfortunately, not every family exerts a positive influence on adolescent development, which can lead to risk taking and subsequent substance use [56]. For example, adolescents who experience a lack of parental structure and monitoring exhibit an increase in delinquency and substance use across adolescence [57]. The salience of negative family influences on adolescent substance use has led to recent investigations of whether the brain plays a role in these associations. Indeed, high family conflict predicts increases in risk-taking behaviors across the adolescent years [58]. In addition, longitudinal increases in PFC activation during a cognitive control task mediates this association, suggesting that hostile family relationships heighten risk-taking behavior via enhanced activation in brain regions associated with cognitive control during adolescence. Increases in PFC activation might reflect the need for greater PFC activation to perform tasks involving cognitive control among youth who experience high family conflict. Parental depression has also been linked to adolescent risk taking [59]. Adolescents with a parent who feels depressed exhibit longitudinal increases in risk taking, which is explained by increases in the VS and DLPFC during risk taking, suggesting that the lack of parental positive affect may predispose adolescents towards seeking external rewards in their environment. These findings suggest that negative family relationships can change adolescent neural circuitry in response to rewards, and subsequently adolescent susceptibility to risk taking and substance use.
We can also understand the negative link between the family context and adolescent substance use by measuring the cumulative effects of family stressors, rather than just one stressor [56]. Family life stress, including events such as family member death, difficult financial circumstances, and arguments between family members is associated with less mPFC activity during anticipation and receipt of rewards, which is also related to greater alcohol dependence during adolescence [60]. In addition, decreased mPFC activity mediates the link between stressful family life events and later alcohol use. This study suggests that an accumulation of family stressors can lead to less neural reactivity in cognitive control regions in rewarding environments, as well greater risk toward substance use. Collectively, these findings provide support that stressors within the family, such as conflict, parental depression, financial hardship, and death of a family member can contribute to increased substance use during adolescence, particularly through the responsivity of the reward and cognitive control networks of the brain. As with the peer research, little attention has been directed towards examining sex differences in brain response to family influence.
Simultaneous influence of peers and family on risk taking and substance use
Most prior research has examined how peer and family contexts independently influence adolescent substance use without taking into account their interrelated and simultaneous effects. Family and peer contexts do not occur in isolation; families influence who adolescents choose to spend time with (i.e., selection of friends), friends can influence the familial attitudes that adolescents value, and antisocial peer conformity can provoke arguments at home [5, 8–9]. Thus, social influence on adolescent substance use does not occur along a linear, independent path, but instead family and peer influence interact dynamically as part of an extended social context. Research examining the simultaneous influence of peers and family is scarce, but emerging evidence suggests an important, interacting role of each source of influence that changes from childhood to adolescence.
In one of the only studies to examine the differential effects of peers and parents, children from the 3rd to 12th grades rated their attitudes about antisocial, prosocial, and neutral behaviors in the contexts of peer and parent conformity [8]. Peer conformity to antisocial behaviors showed a curvilinear pattern, increasing from childhood, peaking in 9th grade and declining thereafter. Parent conformity to prosocial and neutral behaviors, on the other hand, was high in childhood, but showed declines across adolescence. In a more recent experimental study, 8–60 year olds rated their own perceptions of risky behaviors after viewing the perceptions of other teenagers and adults (albeit not their parents) [7]. All age groups showed greater influence towards adults except for young adolescents (12–14 years), who were more influenced by teenagers. These studies suggest that early adolescence is a window of vulnerability for negative peer influence.
In one of the only neuroimaging studies to jointly examine peer and family influence [61], adolescents were shown their parent and peers’ attitudes on neutral stimuli and rated their own attitudes. Although adolescents showed significant shifts in their attitudes towards both parents and peers, parent influence effects were significantly greater than that of peers. At the neural level, no differences were found between parent and peer influence. Both types of influence were similarly associated with increased activation in regions of the social brain (TPJ, DMPFC), self-control (VLPFC), and reward processing (VMPFC), suggesting that social influence involves mental state reasoning as well as inhibition of one’s own antecedent attitudes. In the only study to date to examine sex differences in neural responses to both family and peers, youth from 9 to 26 years were scanned as they won money for their friend or their mother [47]. For girls, there was an age-related increase in ventral striatum activation when winning for friends relative to their mother, whereas boys’ ventral striatum responses to winning for mother and friend did not differ with age. Thus, girls’ prosocial motivations for friends become more salient in adolescence and adulthood, which can have significant implications for peer influence effects in adolescent girls. Together, these studies suggest that early adolescence may be a sensitive period when peer influence may have its largest effect. The family context appears to lay the foundation for neurobiological susceptibility to influence, which is maintained across the adolescent years, whereas peers play a unique role during early adolescent development [27].
Future Directions
Social influences from peers and family are among the most potent predictors of adolescents’ initiation and escalation of substance use behaviors. As reviewed here, emerging evidence has identified key neurobiological processes by which parents and peers influence substance use and risk taking via changes in the brain’s functional system. Despite these exciting advances, additional research in this area is key to better understand the simultaneous influence of family and peer contexts on adolescent substance use.
Developmental timing
To better understand the etiology of adolescent substance use, it is essential to examine the relative timing of family and peer influence effects [9]. Indeed, prior research has found that family relationships influence younger adolescents’ smoking whereas peer relationships influence older adolescents’ smoking [62]. Other studies have found that both family and peers influence substance use across adolescence [9, 63]. Interestingly, the form and function of family influence may shift across adolescence. Whereas in early adolescence, parental influence occurs via behavioral control (e.g., monitoring), the transition to high school marks a time when relationship quality (e.g., trust, communication) influences adolescent substance use [9]. Thus, the relative contribution of family and peer influence may wax and wane across development as well as change in their function. Future research should therefore utilize longitudinal methods to examine family and peer influence on substance use at multiple time points across childhood and adolescence [9]. Moreover, research is needed that examines the effects of pubertal maturation as well as sex differences in response to family and peer influence, given initial evidence for divergent developmental trajectories in neural responses to parent and peer vicarious rewards among boys and girls [47].
Overlapping influence of family and peer contexts
Despite emerging evidence highlighting the interplay between family and peer contexts, the processes by which family and peers influence adolescent substance use are far from clear. It is possible that family influence precedes peer influence on substance use. That is, the family environment provides the foundation for peer influence effects to occur. For instance, parents who endorse substance use will be more likely to have youth who associate with deviant peers, and such deviant peer association provides the context for youth to access substance use. Indeed, there is evidence that more effective parental monitoring and stronger relationship quality is associated with less deviant peer association, which, in turn, predicts less substance use [64–65]. It is also possible that family contexts interact with peer contexts. For instance, all youth may be vulnerable to peer influence because they value peer acceptance and spend considerable time with friends, but spending time with peers may only lead to substance use behaviors when youth have emotionally volatile families or a lack of family support [66]. Thus, families may exacerbate or buffer peer influence effects. Others have argued that parent and peer influence occur independently [67], or that the strength of each social context is situation and domain dependent [68]. Thus, future research should unpack how parent and peer contexts dynamically operate together to inform substance use. Finally, other important social relationships should be examined, including romantic relationship partners, siblings, and teachers. These social relationships have differential influences on adolescent substance use across development, and their unique contributions should be examined independently, and alongside parents and peers.
Conclusions
In this review, we highlight the important role of social contexts, particularly peers and family, in shaping adolescent substance-use behaviors. Recent affective neuroscience research has developed novel paradigms to identify regions of the brain associated with adolescent risk taking within a social influence. Sensitivity in neural regions involved in social cognition, cognitive control, and reward processing underlie how social influence affects adolescents’ decisions to take risks and engage in substance use. Specifically, we show that peers and families play critical roles in decisions related to substance use throughout adolescent development. However, the growing body of research shows that the form and function of influence from both peers and families likely changes across adolescence. For instance, relationship quality of both peers and families significantly interacts with neural mechanisms to predict concurrent and later adolescent risk-taking behaviors; however, dynamic characteristics of these relationships, such as perceived monitoring, trust, victimization, and rejection, may vary in their magnitude of influence depending on adolescents’ age, sex, and pubertal stage. Given the complexity of social influences across adolescence, we propose a great need for future research to examine the influence of peers and families both independently, and in tandem, to better understand how these social contexts give rise to, or prevent, adolescent engagement in substance use. Adolescent substance use is a serious public health concern, and identifying mechanisms by which substance use occurs can inform the development of effective interventions.
Acknowledgments
Preparation of this manuscript was supported by the National Institutes of Health (R01DA039923 to Telzer) and the National Science Foundation (SES 1459719).
Footnotes
Compliance with Ethics Guidelines
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
Conflict of Interest
Eva H. Telzer, Christina R. Rogers, and Jorien Van Hoorn declare that they have no conflicts of interest.
References
Papers of particular interest, published recently, have been highlighted as:
• Of importance
•• Of major importance
- 1.Chambers RA, Taylor JR, Potenza MN. Developmental neurocircuitry of motivation in adolescence: A critical period of addiction vulnerability. Am J Psychiatry. 2003;160:1041–52. doi: 10.1176/appi.ajp.160.6.1041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.National Center for Health Statistics, United States. US Department of Health and Human Services, Centers for Disease Control and Prevention. Hyattsville, MD: 2013. [Google Scholar]
- 3.Centers for Disease Control and Prevention Web-based Injury Statistics Query and Reporting System (WISQARS) National Center for Injury Prevention and Control, Centers for Disease Control and Prevention; 2013. [Google Scholar]
- 4.Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE. Monitoring the future national survey results on drug use, 1975–2008: Volume II, college students and adults ages 19–50. 2009 NIH Publication No. 09-7403. [Google Scholar]
- 5.Kandel D. The parental and peer contexts of adolescent deviance: An algebra of interpersonal influences. J Drug Issues. 1996;26:289–315. doi: 10.1177/002204269602600202. [DOI] [Google Scholar]
- 6.Scalici F, Schulz PJ. Influence of perceived parent and peer endorsement on adolescent smoking intentions: Parents have more say, but their influence wanes as kids get older. PLoS One. 2014;9:e101275. doi: 10.1371/journal.pone.0101275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7•.Knoll LJ, Magis-Weinberg L, Speekenbrink M, Blakemore S-J. Social Influence on Risk Perception During Adolescence. Psychol Sci. 2015;26:583–92. doi: 10.1177/0956797615569578. This empirical paper shows that from middle childhood into midlife, individuals are influenced by adults, with the exception that early adolescents are most susceptible to influence from teenagers. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Berndt TJ. Developmental changes in conformity to peers and parents. Dev Psychol. 1979;15:608–616. [Google Scholar]
- 9.Van Ryzin MJ, Fosco GM, Dishion TJ. Family and peer predictors of substance use from early adolescence to early adulthood: An 11-year prospective analysis. Addict Behav. 2012;37:1314–1324. doi: 10.1038/jid.2014.371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kandel DB, Andrews K. Processes of adolescent socialization by parents and peers. Int J Add. 1987;22:319–342. doi: 10.3109/10826088709027433. [DOI] [PubMed] [Google Scholar]
- 11.Windle M. Parental, sibling, and peer influences on adolescent substance use and alcohol problems. App Dev Sci. 2000;2:98–110. doi: 10.1207/S1532480XADS0402_5. [DOI] [Google Scholar]
- 12.Deković M, Wissink IB, Meijer AM. The role of family and peer relations in adolescent antisocial behaviour: Comparison of four ethnic groups. J Adolesc. 27:497–514. doi: 10.1016/j.adolescence.2004.06.010. [DOI] [PubMed] [Google Scholar]
- 13.Windle M, Spear LP, Fuligni AJ, Angold A, Brown JD, Pine D, Smith GT, Giedd J, Dahl RE. Transitions into underage and problem drinking: Summary of developmental processes and mechanisms: Ages 10–15. Pediatrics. 2008;121:S273–89. doi: 10.1542/peds.2007-2243C. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bahr SJ, Hoffmann JP, Yang X. Parental and peer influences on the risk of adolescent drug use. J Prim Prev. 2005;26:529–551. doi: 10.1007/s10935-005-0014-8. [DOI] [PubMed] [Google Scholar]
- 15•.Lam CB, McHale SM, Crouter AC. Time with peers from middle childhood to late adolescence: Developmental course and adjustment correlates. Child Dev. 2014;85:1677–93. doi: 10.1038/jid.2014.371. This empirical paper highlights the complexity of peer relations, as adolescent adjustment is dependent on both sex constellation of peer groups and adult monitoring of these interactions. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Sutherland EH, Cressey DR, Luckenbill DF. The Reynolds Series in Sociology. Six Hill, NY: NCJRS; 1992. Principles of criminology. [Google Scholar]
- 17.Steinberg L. A social neuroscience perspective on adolescent risk-taking. Dev Rev. 2008;28:78–106. doi: 10.1016/j.dr.2007.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Nelson EE, Leibenluft E, McClure EB, Pine DS. The social re-orientation of adolescence: a neuroscience perspective on the process and its relation to psychopathology. Psychol Med. 2005;35:163–74. doi: 10.1017/s0033291704003915. [DOI] [PubMed] [Google Scholar]
- 19••.Nelson EE, Jarcho JM, Guyer AE. Social re-orientation and brain development: An expanded and updated view. Dev Cogn Neurosci. 2016;17:118–27. doi: 10.1016/j.dcn.2015.12.008. This review provides an overview of neurobiological sensitivity to social contexts in children, adolescents, and adults. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Crone EA, Dahl RE. Understanding adolescence as a period of social-affective engagement and goal flexibility. Nat Rev Neurosci. 2012;13:636–50. doi: 10.1038/nrn3313. [DOI] [PubMed] [Google Scholar]
- 21.Somerville LH, Jones RM, Casey BJ. A time of change: Behavioral and neural correlates of appetitive and aversive environmental cues. Brain Cogn. 2010;72:124–33. doi: 10.1016/j.bandc.2009.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Casey BJ, Getz S, Galvan A. The adolescent brain. Dev Rev. 2008;28:62–77. doi: 10.1016/j.dr.2007.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Pfeifer JH, Blakemore SJ. Adolescent social cognitive and affective neuroscience: Past, present, and future. Soc Cogn Affect Neurosci. 2012;7:1–10. doi: 10.1093/scan/nsr099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Blakemore SJ. The social brain in adolescence. Nat Rev Neurosci. 2008;9:267–77. doi: 10.1038/nrn2353. [DOI] [PubMed] [Google Scholar]
- 25.Frith CD, Frith U. Social Cognition in Humans. Curr Biol. 2007;17:724–32. doi: 10.1016/j.cub.2007.05.068. [DOI] [PubMed] [Google Scholar]
- 26••.Blakemore SJ, Mills KL. Is adolescence a sensitive period for sociocultural processing? Annu Rev Psychol. 2014;65:187–207. doi: 10.1146/annurev-psych-010213-115202. This review highlights adolescence as a time in which the social brain reorganizes, which in turn helps adolescents to adapt to and navigate their complex social environments. [DOI] [PubMed] [Google Scholar]
- 27••.Schriber RA, Guyer AE. Adolescent neurobiological susceptibility to social context. Dev Cogn Neurosci. 2016;19:1–18. doi: 10.1016/j.dcn.2015.12.009. This review provides support that neural-based individual differences engender adolescent susceptibility to social contexts. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28•.Shulman EP, Smith AR, Silva K, Icenogle G, Duell N, Chein J, et al. The dual systems model: Review, reappraisal, and reaffirmation. Dev Cogn Neurosci. 2016;17:103–117. doi: 10.1016/j.dcn.2015.12.010. This theoretical paper provides explanation of the Dual Systems Model—that adolescent risk-taking is explained by multiple levels of influence, including neurobiological, psychological, and behavioral, which are each informed by adolescent decision-making and the proximal context. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gardner M, Steinberg L. Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: an experimental study. Dev Psychol. 2005;41:625–35. doi: 10.1037/0012-1649.41.4.625. [DOI] [PubMed] [Google Scholar]
- 30.Chassin L, Hussong A, Beltran I. Adolescent substance use. In: Richard MLLS, Steinberg L, editors. Handbook of Adolescent Psychology: Vol. 1. Individual Bases of Adolescent Development. Hoboken, NJ: John Wiley & Sons; 2009. pp. pp. 723–763. [Google Scholar]
- 31.Simons-Morton BG, Farhat T. Recent findings on peer group influences on adolescent smoking. J Prim Prev. 2010;31:191–208. doi: 10.1007/s10935-010-0220-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Willoughby T, Good M, Adachi PJC, Hamza C, Tavernier R. Examining the link between adolescent brain development and risk taking from a social-developmental perspective. Brain Cogn. 2014;89:70–8. doi: 10.1016/j.bandc.2014.07.006. [DOI] [PubMed] [Google Scholar]
- 33.Dishion TJ, Owen LD. A longitudinal analysis of friendships and substance use: Bidirectional influence from adolescence to adulthood. Dev Psychol. 2002;38:480–491. doi: 10.1037/0012-1649.38.4.480. [DOI] [PubMed] [Google Scholar]
- 34.Dishion TJ, Tipsord JM. Peer contagion in child and adolescent social and emotional development. Annu Rev Psychol. 2011;62:189–214. doi: 10.1146/annurev.psych.093008.100412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35•.Van Ryzin MJ, Dishion TJ. Adolescent deviant peer clustering as an amplifying mechanism underlying the progression from early substance use to late adolescent dependence. J Child Psychol Psychiatry Allied Discip. 2014;55:1153–61. doi: 10.1111/jcpp.12211. This empirical paper found that both parents and peers affect substance use across adolescence. Specifically, affiliation with deviant peers was a constant and proximal influence whereas parental influence indirectly influenced decisions to engage in substance use through adolescent selection of peers. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Chein J, Albert D, O’Brien L, Uckert K, Steinberg L. Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry. Dev Sci. 2011;14:F1–10. doi: 10.1111/j.1467-7687.2010.01035.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.O’Brien L, Albert D, Chein J, Steinberg L. Adolescents prefer more immediate rewards when in the presence of their peers. J Res Adolesc. 2011;21:747–53. doi: 10.1111/j.1532-7795.2011.00738.x. [DOI] [Google Scholar]
- 38•.Van Hoorn J, Crone EA, Van Leijenhorst L. Hanging out with the right crowd: Peer influence on risk-taking behavior in adolescence. J Res Adolesc. 2016;27:189–200. doi: 10.1111/jora.12265. This empirical paper provides evidence that adolescents take more risks in the presence of peers than alone, particularly in situations for which the outcome is unknown. [DOI] [PubMed] [Google Scholar]
- 39.Segalowitz SJ, Santesso DL, Willoughby T, Reker DL, Campbell K, Chalmers H, Rose-Krasnor L. Adolescent peer interaction and trait surgency weaken medial prefrontal cortex responses to failure. Soc Cogn Affect Neurosci. 2012;7:115–124. doi: 10.1093/scan/nsq090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wang J, Iannotti RJ, Nansel TR. School bullying amoung US adolescents: Physical, verbal, relational, and cyber. J Adolesc Heal. 2009;45:368–75. doi: 10.1016/j.jadohealth.2009.03.021.School. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Peake SJ, Dishion TJ, Stormshak EA, Moore WE, Pfeifer JH. Risk-taking and social exclusion in adolescence: Neural mechanisms underlying peer influences on decision-making. Neuroimage. 2013;82:23–34. doi: 10.1016/j.neuroimage.2013.05.061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42•.Falk EB, Cascio CN, O’Donnell MB, Carp J, Tinney FJ, Bingham CR, et al. Neural responses to exclusion predict susceptibility to social influence. J Adolesc Heal. 2014;54:S22–31. doi: 10.1021/nl061786n.Core-Shell. This empirical paper indicates that adolescent risk-taking may occur due to neurobiological susceptibility to social exclusion. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43•.Telzer EH, Miernicki ME, Rudolph KD. Chronic peer victimization heightens neural sensitivity to risk taking. Dev Psychopathol. 2017:1–14. doi: 10.1017/S0954579417000438. This empirical paper identifies neural mechanisms through which chronic peer victimization predicts anti-social behavior during adolescence, including regions associated with affective processing, executive control, and social cognition. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44•.Telzer EH, Fuligni AJ, Lieberman MD, Miernicki ME, Galván A. The quality of adolescents’ peer relationships modulates neural sensitivity to risk taking. Soc Cogn Affect Neurosci. 2015;10:389–98. doi: 10.1093/scan/nsu064. This empirical paper indicates that hostile peer relationships are associated high risk-taking, both behaviorally and neurobiologically. However, perceptions of peer support can buffer the link between hostile peer relationships and risk-taking. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45•.Cascio CN, Carp J, O’Donnell MB, Tinney FJ, Bingham CR, Shope JT, et al. Buffering social influence: Neural correlates of response inhibition predict driving safety in the presence of a peer. J Cogn Neurosci. 2015;26:194–8. doi: 10.1162/jocn. This empirical paper found that neural correlates of cognitive control predict safer decisions during a driving task in the presence of a“safe” peer. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Guyer AE, Choate VR, Pine DS, Nelson EE. Neural circuitry underlying affective response to peer feedback in adolescence. Soc Cogn Affect Neurosci. 2012;7:81–92. doi: 10.1093/scan/nsr043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47•.Braams BR, Crone EA. Peers and parents: A comparison between neural activation when winning for friends and mothers in adolescence. Soc Cogn Affect Neurosci. 2016;12:417–26. doi: 10.1093/scan/nsw035. This empirical paper identifies age and sex differences in neural reward processing when winning money for others. Developmental patterns of activation during reward processing differed when winning for peers versus parents. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Lam CB, McHale SM, Crouter AC. Parent-child shared time from middle childhood to late adolescence: Developmental course and adjustment correlates. Child Dev. 2012;83:2089–103. doi: 10.1111/j.1467-8624.2012.01826.x. Doi. wiley.com/10.1111/j.1467-8624.2012.01826.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Telzer EH, Gonzales N, Fuligni AJ. Family obligation values and family assistance behaviors: protective and risk factors for Mexican-American adolescents’ substance use. J Youth Adolesc. 2013;43:270–83. doi: 10.1007/s10964-013-9941-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50•.Qu Y, Fuligni AJ, Galvan A, Telzer EH. Buffering effect of positive parent–child relationships on adolescent risk taking: A longitudinal neuroimaging investigation. Dev Cogn Neurosci. 2015;15:26–34. doi: 10.1016/j.dcn.2015.08.005. This empirical paper provides evidence that increases in positive parent-child relationship quality during adolescence predicts less risk-taking via decreases in neural reward processing during risk-taking. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51•.Samek DR, Rueter MA, Keyes MA, Mcgue M, Iacono WG. Parent involvement, sibling companionship, and adolescent substance use: A longitudinal, genetically informed design. J Fam Psychol. 2015;29:614–23. doi: 10.1037/fam0000097. This empirical paper identifies parental involvement and sibling companionship as salient predictors of substance use across adolescence. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Fuligni AJ, Telzer EH. Another way family can get in the head and under the skin: The neurobiology of helping the family. Child Dev Perspect. 2013;7:138–42. doi: 10.1111/cdep.12029. [DOI] [Google Scholar]
- 53.Telzer EH, Fuligni AJ, Lieberman MD, Galvan A. Meaningful family relationships: Neurocognitive buffers of adolescent risk taking. J Cogn Neurosci. 2013;25:374–87. doi: 10.1162/jocn_a_00331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54•.Telzer EH, Ichien NT, Qu Y. Mothers know best: Redirecting adolescent reward sensitivity toward safe behavior during risk taking. Soc Cogn Affect Neurosci. 2015;10:1383–91. doi: 10.1093/scan/nsv026. This empirical paper provides evidence that parental presence has the potential to reorient adolescent neural circuitry toward more controlled and safe decision-making. This contributes to the growing notion that parental influence continues to contribute toward decisions to take risks during adolescence. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55•.Guassi Moreira JF, Telzer EH. Mother still knows best: Maternal influence uniquely modulates adolescent reward sensitivity during risk taking. Dev Sci. 2016:1–11. doi: 10.1111/desc.12484. This empirical paper identifies mothers as a unique influence on adolescent risk-taking compared to other adults. Specifically, mother presence elicits reward-processing in the brain when adolescents make safe decisions. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Repetti RL, Taylor SE, Seeman TE. Risky families: Family social environments and the mental and physical health of offspring. Psychol Bull. 2002;128:330–66. [PubMed] [Google Scholar]
- 57.Steinberg L, Lamborn SD, Darling N, Mounts NS, Dornbusch M, Dornbusch SM. Over-time changes in adjustment and competence among adolescents from authoritative, authoritarian, indulgent, and neglectful families. Child Dev. 1994;65:754–70. doi: 10.1111/j.1467-8624.1994.tb00781.x. [DOI] [PubMed] [Google Scholar]
- 58•.McCormick EM, Qu Y, Telzer EH. Adolescent neurodevelopment of cognitive control and risk-taking in negative family contexts. Neuroimage. 2016;124:989–96. doi: 10.1016/j.neuroimage.2015.09.063. This empirical paper indicates that negative family experiences can contribute to greater levels of risk-taking during adolescence via cognitive control processing in the brain. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59•.Qu Y, Fuligni AJ, Galvan A, Lieberman MD, Telzer EH. Links between parental depression and longitudinal changes in youths’ neural sensitivity to rewards. Soc Cogn Affect Neurosci. 2016;11:1262–71. doi: 10.1093/scan/nsw035. This empirical paper shows that parental depression contributes to elevated reward processing in the brain, which, in turn is associated with greater risk taking during adolescence. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60•.Casement MD, Shaw DS, Sitnick SL, Musselman SC, Forbes EE. Life stress in adolescence predicts early adult reward-related brain function and alcohol dependence. Soc Cogn Affect Neurosci. 2015;10:416–23. doi: 10.1093/scan/nsu061. This empirical paper identifies compounded family life stress as a salient predictor of adolescent alcohol dependence through reward-processing in the brain. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61•.Welborn BL, Lieberman MD, Goldenberg D, Fuligni AJ, Galván A, Telzer EH. Neural mechanisms of social influence in adolescence. Soc Cogn Affect Neurosci. 2015;11:100–9. doi: 10.1093/scan/nsv095. This empirical study is the only neuroimaging study to date that examines peer and family influence simultaneously. Adolescents aligned their attitudes with both parents and peers, with parent influence being greater than that of peers. Further, both peer and parental influence elicited activation in brain regions associated with reward processing, executive control, and social cognition. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Chassin L, Presson CC, Sherman SJ, Corty E, Olshavsky RW. Predicting the onset of cigarette smoking in adolescents: A longitudinal study. Journal of App Soc Psychol. 1984;14:224–243. doi: 10.1111/j.15591816.1984.tb02233.x. (1984) [DOI] [Google Scholar]
- 63.Kim MJ, Fleming CB, Catalano RF. Individual and social influences on progression to daily smoking during adolescence. Pediatrics. 2009;124:895–902. doi: 10.1542/peds.2008-2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Flannery DJ, Williams LL, Vazsonyi AT. Who are they with and what are they doing? Delinquent behavior, substance use, and early adolescents' after-school time. American J Orthopsychiatry. 1999;69:247–253. doi: 10.1037/h0080426. [DOI] [PubMed] [Google Scholar]
- 65.Nash SG, McQueen A, Bray JH. Pathways to adolescent alcohol use: family environment, peer influence, and parental expectations. J Adolesc Health. 2005;37:19–28. doi: 10.1016/j.jadohealth.2004.06.004. [DOI] [PubMed] [Google Scholar]
- 66.Coombs RH, Paulson MJ, Richardson MA. Peer vs. parental influence in substance use among Hispanic and Anglo children and adolescents. J Youth Adolescence. 1991;20:73–88. doi: 10.1007/BF01537352. [DOI] [PubMed] [Google Scholar]
- 67.Hirschi T, Stark R. Hellfire and delinquency. Soc Probl. 1969;17:202–213. doi: 10.2307/799866. [DOI] [Google Scholar]
- 68.Glynn TJ. Psychological sense of community: Measurement and application. Human Rel. 1981;34:789–818. doi: 10.1177/001872678103400904. [DOI] [Google Scholar]

