Promoting adolescent health: insights from developmental and communication neuroscience

Abstract Adolescence is a period of remarkable psychosocial and neural development. Many life-long health habits are established during adolescence, making it a window of opportunity for health promotion. One way to promote adolescent health is through mass and social media campaigns. Although some health media campaigns that target adolescents are effective in changing health-relevant cognitions and behaviors, there is considerable room for improving these outcomes. Recent advancements combining neuroimaging tools and health persuasion have suggested key neural mechanisms underlying behavior change and retransmission of health-relevant ideas and norms in adults. This line of work highlights the integral role of the brain's value system in health persuasion and its importance for improving campaign design and effectiveness. Less is known about how these insights could be leveraged to inform adolescent health persuasion. In this article, we review what is known and unknown about the development of the brain's value system and its connections with cognitive control and social cognition systems across adolescence. Combining these insights, we propose that neuroimaging tools offer unique possibilities that could improve adolescent media health campaigns and promote adolescent well-being.

[1]  E. Baumann,et al.  Where Do Norms Come From? Peer Communication as a Factor in Normative Social Influences on Risk Behavior , 2019, Commun. Res..

[2]  M. Fishbein,et al.  Social Marketing , 2018 .

[3]  Richard E Petty,et al.  The neuroscience of persuasion: A review with an emphasis on issues and opportunities , 2018, Social neuroscience.

[4]  Christin Scholz,et al.  Persuasion, Influence, and Value: Perspectives from Communication and Social Neuroscience , 2018, Annual review of psychology.

[5]  Dolores Albarracin,et al.  Attitudes and Attitude Change , 2018, Annual review of psychology.

[6]  Max A. Viergever,et al.  Considering healthiness promotes healthier choices but modulates medial prefrontal cortex differently in children compared with adults , 2017, NeuroImage.

[7]  Danielle S Bassett,et al.  Dynamic Flexibility in Striatal-Cortical Circuits Supports Reinforcement Learning , 2017, The Journal of Neuroscience.

[8]  E. Falk,et al.  The Value of Sharing Information: A Neural Account of Information Transmission , 2017, Psychological science.

[9]  Lawrence H. Sweet,et al.  Neural correlates of graphic cigarette warning labels predict smoking cessation relapse , 2017, Psychiatry Research: Neuroimaging.

[10]  R. Dahl,et al.  Leveraging Neuroscience to Inform Adolescent Health: The Need for an Innovative Transdisciplinary Developmental Science of Adolescence. , 2017, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[11]  Hyun Suk Kim,et al.  A neural model of valuation and information virality , 2017, Proceedings of the National Academy of Sciences.

[12]  Danielle S. Bassett,et al.  Coherent activity between brain regions that code for value is linked to the malleability of human behavior , 2017, Scientific Reports.

[13]  W. Vollebergh,et al.  Behavioral Control and Reward Sensitivity in Adolescents’ Risk Taking Behavior: A Longitudinal TRAILS Study , 2017, Front. Psychol..

[14]  E. Crone,et al.  What motivates adolescents? Neural responses to rewards and their influence on adolescents’ risk taking, learning, and cognitive control , 2016, Neuroscience & Biobehavioral Reviews.

[15]  Juliet Y. Davidow,et al.  An Upside to Reward Sensitivity: The Hippocampus Supports Enhanced Reinforcement Learning in Adolescence , 2016, Neuron.

[16]  D. Yeager,et al.  Harnessing adolescent values to motivate healthier eating , 2016, Proceedings of the National Academy of Sciences.

[17]  Matthew D. Lieberman,et al.  Modulating the neural bases of persuasion: why/how, gain/loss, and users/non-users , 2016, Social cognitive and affective neuroscience.

[18]  James F. Thrasher,et al.  Neural response to pictorial health warning labels can predict smoking behavioral change , 2016, Social cognitive and affective neuroscience.

[19]  Lauren E. Sherman,et al.  The Power of the Like in Adolescence , 2016, Psychological science.

[20]  Jared M. Bruce,et al.  The child brain computes and utilizes internalized maternal choices , 2016, Nature Communications.

[21]  L. Cameron,et al.  Health Communication in Social Media: Message Features Predicting User Engagement on Diabetes-Related Facebook Pages , 2016, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[22]  Steven Tompson,et al.  Functional brain imaging predicts public health campaign success. , 2016, Social cognitive and affective neuroscience.

[23]  S. Blakemore,et al.  A systematic review of adolescent physiological development and its relationship with health-related behaviour: a protocol , 2016, Systematic Reviews.

[24]  Vicky Rideout,et al.  Measuring time spent with media: the Common Sense census of media use by US 8- to 18-year-olds , 2016 .

[25]  Y. Kashima,et al.  Talking About Antismoking Campaigns: What Do Smokers Talk About, and How Does Talk Influence Campaign Effectiveness? , 2016, Journal of health communication.

[26]  Eva H. Telzer,et al.  Developmental Cognitive Neuroscience Dopaminergic Reward Sensitivity Can Promote Adolescent Health: a New Perspective on the Mechanism of Ventral Striatum Activation , 2022 .

[27]  Emily B. Falk,et al.  Brain Activity in Self- and Value-Related Regions in Response to Online Antismoking Messages Predicts Behavior Change , 2015, J. Media Psychol. Theor. Methods Appl..

[28]  Ale Smidts,et al.  Brain Responses to Movie Trailers Predict Individual Preferences for Movies and Their Population-Wide Commercial Success , 2015 .

[29]  Emily B. Falk,et al.  Neural Correlates of Susceptibility to Group Opinions in Online Word-of-Mouth Recommendations , 2015 .

[30]  Brian Knutson,et al.  Neural Affective Mechanisms Predict Market-Level Microlending , 2015, Psychological science.

[31]  Bart Larsen,et al.  An integrative model of the maturation of cognitive control. , 2015, Annual review of neuroscience.

[32]  J. Chein Peers and Adolescent Risk Taking , 2015 .

[33]  A. V. van Duijvenvoorde,et al.  Longitudinal Changes in Adolescent Risk-Taking: A Comprehensive Study of Neural Responses to Rewards, Pubertal Development, and Risk-Taking Behavior , 2015, The Journal of Neuroscience.

[34]  Emily B. Falk,et al.  Self-affirmation alters the brain’s response to health messages and subsequent behavior change , 2015, Proceedings of the National Academy of Sciences.

[35]  S. Lowen,et al.  Emotional reaction facilitates the brain and behavioural impact of graphic cigarette warning labels in smokers , 2015, Tobacco Control.

[36]  René Weber,et al.  Neural Predictors of Message Effectiveness during Counterarguing in Antidrug Campaigns , 2015 .

[37]  Jonah A. Berger Word of mouth and interpersonal communication: A review and directions for future research , 2014 .

[38]  Elizabeth Behm-Morawitz,et al.  Understanding the Effects of MTV's 16 and Pregnant on Adolescent Girls' Beliefs, Attitudes, and Behavioral Intentions Toward Teen Pregnancy , 2014, Journal of health communication.

[39]  L. Steinberg Age of Opportunity: Lessons from the New Science of Adolescence , 2014 .

[40]  Ashley R. Smith,et al.  Age differences in the impact of peers on adolescents’ and adults’ neural response to reward , 2014, Developmental Cognitive Neuroscience.

[41]  Bregtje Gunther Moor,et al.  A cross-sectional and longitudinal analysis of reward-related brain activation: Effects of age, pubertal stage, and reward sensitivity , 2014, Brain and Cognition.

[42]  M. Ernst,et al.  Longitudinal study of striatal activation to reward and loss anticipation from mid-adolescence into late adolescence/early adulthood , 2014, Brain and Cognition.

[43]  Claes H. de Vreese,et al.  Predicting Health: The Interplay Between Interpersonal Communication and Health Campaigns , 2014, Journal of health communication.

[44]  Anuj K Pradhan,et al.  Neural responses to exclusion predict susceptibility to social influence. , 2014, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[45]  Adriana Galván,et al.  Neural sensitivity to eudaimonic and hedonic rewards differentially predict adolescent depressive symptoms over time , 2014, Proceedings of the National Academy of Sciences.

[46]  E. Forbes,et al.  Exciting fear in adolescence: Does pubertal development alter threat processing? , 2014, Developmental Cognitive Neuroscience.

[47]  A. Galván,et al.  Neural representation of expected value in the adolescent brain , 2014, Proceedings of the National Academy of Sciences.

[48]  Sarah-Jayne Blakemore,et al.  Is adolescence a sensitive period for sociocultural processing? , 2014, Annual review of psychology.

[49]  R. Hornik Public health communication: Evidence for behavior change. , 2013 .

[50]  William E. Moore,et al.  Risk-taking and social exclusion in adolescence: Neural mechanisms underlying peer influences on decision-making , 2013, NeuroImage.

[51]  Joseph W. Kable,et al.  The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value , 2013, NeuroImage.

[52]  Angus W. MacDonald,et al.  Affective and Executive Network Processing Associated with Persuasive Antidrug Messages , 2013, Journal of Cognitive Neuroscience.

[53]  M. Ernst,et al.  A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment , 2013, Neuroscience & Biobehavioral Reviews.

[54]  Adriana Galván,et al.  The effects of poor quality sleep on brain function and risk taking in adolescence , 2013, NeuroImage.

[55]  K. Lynch,et al.  Content Matters: Neuroimaging Investigation of Brain and Behavioral Impact of Televised Anti-Tobacco Public Service Announcements , 2013, The Journal of Neuroscience.

[56]  J. Carroll,et al.  A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication , 2013, Journal of medical Internet research.

[57]  L. Steinberg,et al.  The Teenage Brain , 2013 .

[58]  Adriana Galvan,et al.  Enhanced Striatal Sensitivity to Aversive Reinforcement in Adolescents versus Adults , 2013, Journal of Cognitive Neuroscience.

[59]  H. Korda,et al.  Harnessing Social Media for Health Promotion and Behavior Change , 2013, Health promotion practice.

[60]  Dino J. Levy,et al.  The root of all value: a neural common currency for choice , 2012, Current Opinion in Neurobiology.

[61]  E. Crone,et al.  Understanding adolescence as a period of social–affective engagement and goal flexibility , 2012, Nature Reviews Neuroscience.

[62]  B. Luna,et al.  Developmental effects of incentives on response inhibition. , 2012, Child development.

[63]  Nicholas B. Allen,et al.  Arrested development? Reconsidering dual-systems models of brain function in adolescence and disorders , 2012, Trends in Cognitive Sciences.

[64]  Michael X. Cohen,et al.  Striatum-medial prefrontal cortex connectivity predicts developmental changes in reinforcement learning. , 2012, Cerebral cortex.

[65]  M. Del Giudice,et al.  The evolutionary basis of risky adolescent behavior: implications for science, policy, and practice. , 2012, Developmental psychology.

[66]  Emily B. Falk,et al.  From Neural Responses to Population Behavior , 2012, Psychological science.

[67]  Michael D. Barnes,et al.  Use of Social Media in Health Promotion , 2012, Health promotion practice.

[68]  B. Luna,et al.  Developmental changes in brain function underlying the influence of reward processing on inhibitory control , 2011, Developmental Cognitive Neuroscience.

[69]  L. Spear,et al.  Developmental Cognitive Neuroscience Review Rewards, Aversions and Affect in Adolescence: Emerging Convergences across Laboratory Animal and Human Data , 2022 .

[70]  Susan L. Andersen,et al.  Developmental trajectories during adolescence in males and females: A cross-species understanding of underlying brain changes , 2011, Neuroscience & Biobehavioral Reviews.

[71]  David Badre,et al.  Defining an Ontology of Cognitive Control Requires Attention to Component Interactions , 2011, Top. Cogn. Sci..

[72]  Elliot T. Berkman,et al.  Neural activity during health messaging predicts reductions in smoking above and beyond self-report. , 2011, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[73]  L. Steinberg,et al.  Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry. , 2011, Developmental science.

[74]  H. Chua,et al.  Self-related neural response to tailored smoking-cessation messages predicts quitting , 2011, Nature Neuroscience.

[75]  B. Moghaddam,et al.  Reduced Neuronal Inhibition and Coordination of Adolescent Prefrontal Cortex during Motivated Behavior , 2011, The Journal of Neuroscience.

[76]  M. Brammer,et al.  Maturation of limbic corticostriatal activation and connectivity associated with developmental changes in temporal discounting , 2011, NeuroImage.

[77]  G. Berns,et al.  A Neural Predictor of Cultural Popularity , 2010 .

[78]  Robert C Hornik,et al.  Use of mass media campaigns to change health behaviour , 2010, The Lancet.

[79]  Gang Chen,et al.  Adolescents, Adults and Rewards: Comparing Motivational Neurocircuitry Recruitment Using fMRI , 2010, PloS one.

[80]  Matthew D. Lieberman,et al.  Social Cognitive Neuroscience , 2010 .

[81]  Matthew D. Lieberman,et al.  Predicting Persuasion-Induced Behavior Change from the Brain , 2010, The Journal of Neuroscience.

[82]  A. Miniño,et al.  Mortality among teenagers aged 12-19 years: United States, 1999-2006. , 2010, NCHS data brief.

[83]  Russell A. Poldrack,et al.  A unique adolescent response to reward prediction errors , 2010, Nature Neuroscience.

[84]  L. Somerville,et al.  Developmental neurobiology of cognitive control and motivational systems , 2010, Current Opinion in Neurobiology.

[85]  B. Luna,et al.  The maturation of incentive processing and cognitive control , 2009, Pharmacology Biochemistry and Behavior.

[86]  I. Ajzen,et al.  Predicting and Changing Behavior: The Reasoned Action Approach , 2009 .

[87]  Colin Camerer,et al.  Self-control in decision-making involves modulation of the vmPFC valuation system , 2009, NeuroImage.

[88]  Brian G. Southwell,et al.  When (and Why) Interpersonal Talk Matters for Campaigns , 2009 .

[89]  C. Hanson,et al.  Enhancing Promotional Strategies Within Social Marketing Programs: Use of Web 2.0 Social Media , 2008, Health promotion practice.

[90]  Colin Camerer,et al.  A framework for studying the neurobiology of value-based decision making , 2008, Nature Reviews Neuroscience.

[91]  T. Hare,et al.  The Adolescent Brain , 2008, Annals of the New York Academy of Sciences.

[92]  W. van den Brink,et al.  The role of self-reported impulsivity and reward sensitivity versus neurocognitive measures of disinhibition and decision-making in the prediction of relapse in pathological gamblers , 2007, Psychological Medicine.

[93]  S. Kleinert Adolescent health: an opportunity not to be missed , 2007, The Lancet.

[94]  L. Donohew,et al.  Effects of the Office of National Drug Control Policy's Marijuana Initiative Campaign on high-sensation-seeking adolescents. , 2007, American journal of public health.

[95]  M. Ernst,et al.  Neural substrates of choice selection in adults and adolescents: Development of the ventrolateral prefrontal and anterior cingulate cortices , 2007, Neuropsychologia.

[96]  Fulton Crews,et al.  Adolescent cortical development: A critical period of vulnerability for addiction , 2007, Pharmacology Biochemistry and Behavior.

[97]  Eveline A. Crone,et al.  Neural correlates of developmental differences in risk estimation and feedback processing , 2006, Neuropsychologia.

[98]  F. Castellanos,et al.  An fMRI examination of developmental differences in the neural correlates of uncertainty and decision-making. , 2006, Journal of child psychology and psychiatry, and allied disciplines.

[99]  Joseph N. Cappella,et al.  Integrating Message Effects and Behavior Change Theories: Organizing Comments and Unanswered Questions , 2006 .

[100]  G. Glover,et al.  Earlier Development of the Accumbens Relative to Orbitofrontal Cortex Might Underlie Risk-Taking Behavior in Adolescents , 2006, The Journal of Neuroscience.

[101]  S. Noar A 10-Year Retrospective of Research in Health Mass Media Campaigns: Where Do We Go From Here? , 2006, Journal of health communication.

[102]  Bruce Simons-Morton,et al.  The observed effects of teenage passengers on the risky driving behavior of teenage drivers. , 2005, Accident; analysis and prevention.

[103]  Sandra Jazbec,et al.  Amygdala and nucleus accumbens in responses to receipt and omission of gains in adults and adolescents , 2005, NeuroImage.

[104]  C. Colder,et al.  Predicting alcohol patterns in first-year college students through motivational systems and reasons for drinking. , 2005, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

[105]  K. Davis,et al.  Evidence of a dose-response relationship between "truth" antismoking ads and youth smoking prevalence. , 2005, American journal of public health.

[106]  A. Dijksterhuis Think different: the merits of unconscious thought in preference development and decision making. , 2004, Journal of personality and social psychology.

[107]  N. Kambouropoulos,et al.  Reactivity to alcohol-related cues: relationship among cue type, motivational processes, and personality. , 2004, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

[108]  B. Grant,et al.  The 12-Month Prevalence and Trends in DSM–IV Alcohol Abuse and Dependence , 2004, Drug and alcohol dependence.

[109]  L. Steinberg Risk Taking in Adolescence: What Changes, and Why? , 2004, Annals of the New York Academy of Sciences.

[110]  R. Dahl Adolescent Brain Development: A Period of Vulnerabilities and Opportunities. Keynote Address , 2004, Annals of the New York Academy of Sciences.

[111]  Brian Knutson,et al.  Incentive-Elicited Brain Activation in Adolescents: Similarities and Differences from Young Adults , 2004, The Journal of Neuroscience.

[112]  M. Delgado,et al.  Event-related functional magnetic resonance imaging of reward-related brain circuitry in children and adolescents , 2004, Biological Psychiatry.

[113]  Noah J. Goldstein,et al.  Social influence: compliance and conformity. , 2004, Annual review of psychology.

[114]  Michael A. Olson,et al.  Implicit measures in social cognition. research: their meaning and use. , 2003, Annual review of psychology.

[115]  J. Niederdeppe,et al.  Youth tobacco prevention mass media campaigns: past, present, and future directions , 2003, Tobacco control.

[116]  G. Giovino,et al.  Effects of Anti-Smoking Advertising on Youth Smoking: A Review , 2003, Journal of health communication.

[117]  R. Hornik,et al.  Using Theory to Design Evaluations of Communication Campaigns: The Case of the National Youth Anti-Drug Media Campaign. , 2003, Communication theory : CT : a journal of the International Communication Association.

[118]  Allan F Williams,et al.  Teenage drivers: patterns of risk. , 2003, Journal of safety research.

[119]  P. Montague,et al.  Neural Economics and the Biological Substrates of Valuation , 2002, Neuron.

[120]  D. Schacter,et al.  Prefrontal Contributions to Executive Control: fMRI Evidence for Functional Distinctions within Lateral Prefrontal Cortex , 2001, NeuroImage.

[121]  S. Dawe,et al.  Alcohol abuse and dysfunctional eating in adolescent girls: the influence of individual differences in sensitivity to reward and punishment. , 2001, The International journal of eating disorders.

[122]  D. Shaw,et al.  Agenda setting function of mass media , 1972 .

[123]  E. Katz The Two-Step Flow of Communication: An Up-To-Date Report on an Hypothesis , 1957 .

[124]  P. Lazarsfeld,et al.  Personal Influence: The Part Played by People in the Flow of Mass Communications , 1956 .

[125]  Eva H. Telzer,et al.  Neural mechanisms of social influence in adolescence. , 2016, Social cognitive and affective neuroscience.

[126]  D. Romer,et al.  Media and the well-being of children and adolescents , 2014 .

[127]  Nicholas T. Franklin,et al.  Adolescents let sufficient evidence accumulate before making a decision when large incentives are at stake. , 2014, Developmental science.

[128]  Laurence Steinberg,et al.  Peer Influences on Adolescent Decision Making. , 2013, Current directions in psychological science.

[129]  M. King,et al.  A further exploration of sensation seeking propensity, reward sensitivity, depression, anxiety, and the risky behaviour of young novice drivers in a structural equation model. , 2013, Accident; analysis and prevention.

[130]  James B. Weaver,et al.  Social Media Engagement and Public Health Communication: Implications for Public Health Organizations Being Truly “Social” , 2013, Public Health Reviews.

[131]  Takao K Hensch,et al.  Balancing plasticity/stability across brain development. , 2013, Progress in brain research.

[132]  R. Hornik,et al.  Mass Media Campaigns to Reduce Smoking Among Youth and Young Adults: Documenting Potential Campaign Targets and Reviewing the Evidence From Previous Campaigns , 2012 .

[133]  S. Noar,et al.  Designing Media and Classroom Interventions Targeting High Sensation Seeking or Impulsive Adolescents to Prevent Drug Abuse and Risky Sexual Behavior , 2011 .

[134]  Charles K. Atkin,et al.  Formative Evaluation Research in Campaign Design , 2001 .

[135]  D. Yach,et al.  Tobacco use by youth: a surveillance report from the Global Youth Tobacco Survey project. , 2000, Bulletin of the World Health Organization.

[136]  Franklin E. Zimring,et al.  American Youth Violence , 1998 .

[137]  E. Malá,et al.  [Adolescent development]. , 1994, Casopis lekaru ceskych.

[138]  Delroy L. Paulhus,et al.  Self-Deception and Impression Management in Test Responses , 1986 .