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Adolescent Risk Behavior: Differentiating Reasoned And Reactive Risk-taking

  • Julie Maslowsky
  • Olusegun Owotomo
  • Edward D. Huntley
  • Daniel Keating
Empirical Research

Abstract

Although explanatory models of adolescent risk behavior have predominantly focused on adolescents’ limited ability to self-regulate impulsive and/or reward-driven behavior (reactive risk behavior), recent arguments suggest that a significant proportion of adolescent risk behavior may actually be strategic and planned in advance (reasoned risk behavior). The present study evaluates hypothesized predictors of reasoned versus reactive risk behavior using self-reported and neurocognitive task data from a large, diverse adolescent sample (N = 1266 participants; N = 3894 risk behaviors). Participants’ mean age was 16.5 years (SD = 1.1); 56.9% were female, 61.9% White, 17.1% Black, 7.0% Hispanic, and 14.1% other race/ethnicity; 40% were in 10th grade, 60% in 12th grade. As hypothesized, reasoned risk behavior (compared to reactive risk behavior) was associated with higher levels of sensation seeking, better working memory, greater future orientation, and perceiving risk behavior to be more beneficial than risky. These results support the distinction between reasoned and reactive risk behavior as meaningful subtypes of adolescent risk behavior and challenge prevailing frameworks that attribute adolescent risk behavior primarily to poor response inhibition.

Keywords

Risk behavior Sensation seeking Future orientation Working memory Risk/benefit appraisal 

Notes

Authors’ Contribution

J.M. conceived of the study, conducted the statistical analysis, and wrote the initial draft of the manuscript. O.O. assisted in study conception and writing. D.K. and E.D.H. designed and executed the survey. E.D.H. organized data preparation, and assisted in study conception and writing. D.K. assisted in study conception and writing. All authors read and approved the manuscript.

Funding

This work was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Grants R01HD075806 (PI: Keating), K01HD091416 (PI: Maslowsky), and R24HD042849 (to the Population Research Center at the University of Texas at Austin, of which Maslowsky is a faculty affiliate).

Data Sharing and Declaration

The investigators are committed to sharing the data generated through this research, however, data collection is currently ongoing and is not currently publically available. Under the terms of our grant, we intend to make data available to the wider research community within 12 months following the completion of data collection. This includes all self-report, neurocognitive, and imaging parameters which will be included in the database, along with demographic information that does not risk confidentiality

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study has been granted ethical approval by the University of Michigan Institutional review Board.

Informed Consent

Informed consent was obtained from parents of all minor participants included in the study. Minor participants also provided assent to participate. Participants age 18 and older provided informed consent to participate.

Supplementary material

10964_2018_978_MOESM1_ESM.docx (14 kb)
Supplementary Table 1

References

  1. Benthin, A., Slovic, P., & Severson, H. (1993). A psychometric study of adolescent risk perception. Journal of Adolescence, 16(2), 153–168.  https://doi.org/10.1006/jado.1993.1014.CrossRefPubMedGoogle Scholar
  2. Berns, G. S., Moore, S., & Capra, C. M. (2009). Adolescent engagement in dangerous behaviors is associated with increased white matter maturity of frontal cortex. PLoS ONE, 4(8), e6773  https://doi.org/10.1371/journal.pone.0006773.CrossRefPubMedPubMedCentralGoogle Scholar
  3. Blakemore, S.-J. (2018). Avoiding social risk in adolescence. Current Directions in Psychological Science, 27(2), 116–122.  https://doi.org/10.1177/0963721417738144.CrossRefGoogle Scholar
  4. Blakemore, S.-J., & Mills, K. L. (2014). Is adolescence a sensitive period for sociocultural processing? Annual Review of Psychology, 65, 187–207.  https://doi.org/10.1146/annurev-psych-010213-115202.CrossRefPubMedGoogle Scholar
  5. Boyer, T. W., & Byrnes, J. P. (2009). Adolescent risk-taking: integrating personal, cognitive, and social aspects of judgment. Journal of Applied Developmental Psychology, 30(1), 23–33.  https://doi.org/10.1016/j.appdev.2008.10.009.CrossRefGoogle Scholar
  6. Casey, B. J., Getz, S., & Galvan, A. (2008). The adolescent brain. Developmental Review, 28(1), 62–77.  https://doi.org/10.1016/j.dr.2007.08.003.CrossRefPubMedGoogle Scholar
  7. Casey, B. J., & Jones, R. M. (2010). Neurobiology of the adolescent brain and behavior: Implications for substance use disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 49(12), 1189–1201.  https://doi.org/10.1016/j.jaac.2010.08.017.CrossRefGoogle Scholar
  8. Centers for Disease Control and Prevention. (2017). Youth Risk Behavior Surveillance System (YRBSS). https://www.cdc.gov/healthyyouth/data/yrbs/index.htm
  9. Centers for Disease Control and Prevention. (2016). CDC Wonder [Online databases]. http://wonder.cdc.gov
  10. Chen, P., & Vazsonyi, A. T. (2011). Future orientation, impulsivity, and problem behaviors: a longitudinal moderation model. Developmental Psychology, 47(6), 1633–1645.  https://doi.org/10.1037/a0025327.CrossRefPubMedGoogle Scholar
  11. Cosenza, M., & Nigro, G. (2015). Wagering the future: cognitive distortions, impulsivity, delay discounting, and time perspective in adolescent gambling. Journal of Adolescence, 45, 56–66.  https://doi.org/10.1016/j.adolescence.2015.08.015.CrossRefPubMedGoogle Scholar
  12. Crawford, A. M., Pentz, M. A., Chou, C.-P., Li, C., & Dwyer, J. H. (2003). Parallel developmental trajectories of sensation seeking and regular substance use in adolescents. Psychology of Addictive Behaviors, 17(3), 179–192.  https://doi.org/10.1037/0893-164X.17.3.179.CrossRefPubMedGoogle Scholar
  13. Culyba, A. J., Abebe, K. Z., Albert, S. M., Jones, K. A., Paglisotti, T., Zimmerman, M. A., & Miller, E. (2018). Association of future orientation with violence perpetration among male youths in low-resource neighborhoods. JAMA Pediatrics, 172(9), 877–879.  https://doi.org/10.1001/jamapediatrics.2018.1158.CrossRefPubMedGoogle Scholar
  14. Donati, M. A., Sottili, E., Morsanyi, K., & Primi, C. (2018). Time perspectives and gambling in adolescent boys: differential effects of present- and future-orientation. Journal of Gambling Studies.  https://doi.org/10.1007/s10899-018-9780-0. in press.CrossRefPubMedGoogle Scholar
  15. Durston, S., Thomas, K. M., Worden, M. S., Yang, Y., & Casey, B. J. (2002). The effect of preceding context on inhibition: an event-related fMRI study. NeuroImage, 16(2), 449–453.  https://doi.org/10.1006/nimg.2002.1074.CrossRefPubMedGoogle Scholar
  16. Engle, R. W. (2002). Working memory capacity as executive attention. Current Directions in Psychological Science, 11(1), 19–23.  https://doi.org/10.1111/1467-8721.00160.CrossRefGoogle Scholar
  17. Fischhoff, B., Bruine de Bruin, W., Parker, A. M., Millstein, S. G., & Halpern-Felsher, B. L. (2010). Adolescents’ perceived risk of dying. Journal of Adolescent Health, 46(3), 265–269.  https://doi.org/10.1016/j.jadohealth.2009.06.026.CrossRefPubMedGoogle Scholar
  18. Gibbons, F. X., Houlihan, A. E., & Gerrard, M. (2009). Reason and reaction: the utility of a dual-focus, dual-processing perspective on promotion and prevention of adolescent health risk behaviour. British Journal of Health Psychology, 14(2), 231–248.  https://doi.org/10.1348/135910708X376640.CrossRefPubMedGoogle Scholar
  19. Goldberg, J. H., Halpern-Felsher, B. L., & Millstein, S. G. (2002). Beyond invulnerability: the importance of benefits in adolescents’ decision to drink alcohol. Health Psychology, 21(5), 477–484.  https://doi.org/10.1037/0278-6133.21.5.477.CrossRefPubMedGoogle Scholar
  20. Goldberg, J. H., Millstein, S., Schwartz, A., & Halpern-Felsher, B. (2009). Intertemporal tradeoffs: perceiving the risk in the benefits of marijuana in a prospective study of adolescents and young adults. Medical Decision Making, 29(2), 182–192.  https://doi.org/10.1177/0272989X08323918.CrossRefPubMedGoogle Scholar
  21. Harden, K. P., & Tucker-Drob, E. M. (2011). Individual differences in the development of sensation seeking and impulsivity during adolescence: further evidence for a dual systems model. Developmental Psychology, 47(3), 739–746.  https://doi.org/10.1037/a0023279.CrossRefPubMedGoogle Scholar
  22. Harter, S. (1982). The perceived competence scale for children. Child Development, 53(1), 87–97.  https://doi.org/10.2307/1129640.CrossRefGoogle Scholar
  23. Henges, A. L., & Marczinski, C. A. (2012). Impulsivity and alcohol consumption in young social drinkers. Addictive Behaviors, 37(2), 217–220.  https://doi.org/10.1016/j.addbeh.2011.09.013.CrossRefPubMedGoogle Scholar
  24. Heron, M. (2017). Deaths: leading causes for 2015. National Vital Statistics Reports, 66(5), 1–76. https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_05.pdf PubMedGoogle Scholar
  25. Heitzeg, M. M., Nigg, J. T., Yau, W.-Y. W., Zucker, R. A., & Zubieta, J.-K. (2010). Striatal dysfunction marks preexisting risk and medial prefrontal dysfunction is related to problem drinking in children of alcoholics. Biological Psychiatry, 68(3), 287–295.  https://doi.org/10.1016/j.biopsych.2010.02.020.CrossRefPubMedPubMedCentralGoogle Scholar
  26. Hinson, J. M., Jameson, T. L., & Whitney, P. (2003). Impulsive decision making and working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(2), 298–306.  https://doi.org/10.1037/0278-7393.29.2.298.CrossRefPubMedGoogle Scholar
  27. Hofmann, W., Gschwendner, T., Friese, M., Wiers, R. W., & Schmitt, M. (2008). Working memory capacity and self-regulatory behavior: toward an individual differences perspective on behavior determination by automatic versus controlled processes. Journal of Personality and Social Psychology, 95(4), 962–977.  https://doi.org/10.1037/a0012705.CrossRefPubMedGoogle Scholar
  28. Hoyle, R. H., Stephenson, M. T., Palmgreen, P., Lorch, E. P., & Donohew, R. L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32(3), 401–414.  https://doi.org/10.1016/S0191-8869(01)00032-0.CrossRefGoogle Scholar
  29. Jackman, D. M., & MacPhee, D. (2017). Self-esteem and future orientation predict adolescents’ risk engagement. The Journal of Early Adolescence, 37(3), 339–366.  https://doi.org/10.1177/0272431615602756.CrossRefGoogle Scholar
  30. Johnson, S. R. L., Blum, R. W., & Cheng, T. L. (2014). Future orientation: a construct with implications for adolescent health and wellbeing. International Journal of Adolescent Medicine and Health, 26(4), 459–468.  https://doi.org/10.1515/ijamh-2013-0333.CrossRefPubMedGoogle Scholar
  31. Khurana, A., Romer, D., Betancourt, L. M., Brodsky, N. L., Giannetta, J. M., & Hurt, H. (2012). Early adolescent sexual debut: the mediating role of working memory ability, sensation seeking, and impulsivity. Developmental Psychology, 48(5), 1416–1428.  https://doi.org/10.1037/a0027491.CrossRefPubMedPubMedCentralGoogle Scholar
  32. Khurana, A., Romer, D., Betancourt, L. M., Brodsky, N. L., Giannetta, J. M., & Hurt, H. (2013). Working memory ability predicts trajectories of early alcohol use in adolescents: the mediational role of impulsivity. Addiction, 108(3), 506–515.  https://doi.org/10.1111/add.12001.CrossRefPubMedGoogle Scholar
  33. Khurana, A., Romer, D., Betancourt, L. M., Brodsky, N. L., Giannetta, J. M., & Hurt, H. (2015). Stronger working memory reduces sexual risk taking in adolescents, even after controlling for parental influences. Child Development, 86(4), 1125–1141.  https://doi.org/10.1111/cdev.12383.CrossRefPubMedPubMedCentralGoogle Scholar
  34. Kwon, M. S., Vorobyev, V., Moe, D., Parkkola, R., & Hämäläinen, H. (2014). Brain structural correlates of risk-taking behavior and effects of peer influence in adolescents. PLoS One, 9(11), e112780  https://doi.org/10.1371/journal.pone.0112780.CrossRefPubMedPubMedCentralGoogle Scholar
  35. Lennox, R. D., & Cecchini, M. A. (2008). The NARCONON drug education curriculum for high school students: a non-randomized, controlled prevention trial. Substance Abuse Treatment, Prevention, and Policy, 3, 8  https://doi.org/10.1186/1747-597X-3-8.CrossRefPubMedPubMedCentralGoogle Scholar
  36. Luciana, M. (2013). Adolescent brain development in normality and psychopathology. Development and Psychopathology, 25(4, Pt 2), 1325–1345.  https://doi.org/10.1017/S0954579413000643.CrossRefPubMedPubMedCentralGoogle Scholar
  37. Maruska, K., Hansen, J., Hanewinkel, R., & Isensee, B. (2016). The role of substance-specific skills and cognitions in the effectiveness of a school-based prevention program on smoking incidence. Evaluation & the Health Professions, 39(3), 336–355.  https://doi.org/10.1177/0163278715588825.CrossRefGoogle Scholar
  38. Mashhoon, Y., Betts, J., Farmer, S. L., & Lukas, S. E. (2018). Early onset tobacco cigarette smokers exhibit deficits in response inhibition and sustained attention. Drug and Alcohol Dependence, 184, 48–56.  https://doi.org/10.1016/j.drugalcdep.2017.11.020.CrossRefPubMedGoogle Scholar
  39. Maslowsky, J., Buvinger, E., Keating, D. P., Steinberg, L., & Cauffman, E. (2011a). Cost-benefit analysis mediation of the relationship between sensation seeking and risk behavior. Personality and Individual Differences, 51(7), 802–806.  https://doi.org/10.1016/j.paid.2011.06.028.CrossRefPubMedPubMedCentralGoogle Scholar
  40. Maslowsky, J., Keating, D. P., Monk, C. S., & Schulenberg, J. (2011b). Planned versus unplanned risks: neurocognitive predictors of subtypes of adolescents’ risk behavior. International Journal of Behavioral Development, 35(2), 152–160.  https://doi.org/10.1177/0165025410378069.CrossRefPubMedPubMedCentralGoogle Scholar
  41. Miech, R. A., Johnston, L. D., O'Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Patrick, M. E. (2018). Monitoring the future: National survey results on drug use, 1975-2017. Volume 1: Secondary school students. Ann Arbor: University of Michigan Institute for Social Research.Google Scholar
  42. Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24, 167–202.  https://doi.org/10.1146/annurev.neuro.24.1.167.CrossRefPubMedGoogle Scholar
  43. Murphy, S. L., Xu, J., Kochanek, K. D., Curtin, S. C., & Arias, E. (2017). Deaths: final data for 2015. National Vital Statistics Reports, 66(6), 1–75.PubMedGoogle Scholar
  44. Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide (8th edn). Los Angeles: Muthén & Muthén.Google Scholar
  45. Nurmi, J.-E. (1991). How do adolescents see their future? A review of the development of future orientation and planning. Developmental Review, 11(1), 1–59.  https://doi.org/10.1016/0273-2297(91)90002-6.CrossRefGoogle Scholar
  46. Peeters, M., Janssen, T., Monshouwer, K., Boendermaker, W., Pronk, T., Wiers, R., & Vollebergh, W. (2015). Weaknesses in executive functioning predict the initiating of adolescents’ alcohol use. Developmental Cognitive Neuroscience, 16, 139–146.  https://doi.org/10.1016/j.dcn.2015.04.003.CrossRefPubMedGoogle Scholar
  47. Pomery, E. A., Gibbons, F. X., Reis-Bergan, M., & Gerrard, M. (2009). From willingness to intention: experience moderates the shift from reactive to reasoned behavior. Personality and Social Psychology Bulletin, 35(7), 894–908.  https://doi.org/10.1177/0146167209335166.CrossRefPubMedGoogle Scholar
  48. Quinn, P. D., & Harden, K. P. (2013). Differential changes in impulsivity and sensation seeking and the escalation of substance use from adolescence to early adulthood. Development and Psychopathology, 25(1), 223–239.  https://doi.org/10.1017/S0954579412000284.CrossRefPubMedGoogle Scholar
  49. Reyna, V. F., & Farley, F. (2006). Risk and rationality in adolescent decision making: Implications for theory, practice, and public policy. Psychological Science in the Public Interest, 7(1), 1–44.  https://doi.org/10.1111/j.1529-1006.2006.00026.x.CrossRefPubMedGoogle Scholar
  50. Reyna, V. F., Wilhelms, E. A., McCormick, M. J., & Weldon, R. B. (2015). Development of risky decision making: fuzzy-trace theory and neurobiological perspectives. Child Development Perspectives, 9(2), 122–127.  https://doi.org/10.1111/cdep.12117.CrossRefPubMedPubMedCentralGoogle Scholar
  51. Robbins, R. N., & Bryan, A. (2004). Relationships between future orientation, impulsive sensation seeking, and risk behavior among adjudicated adolescents. Journal of Adolescent Research, 19(4), 428–445.  https://doi.org/10.1177/0743558403258860.CrossRefPubMedPubMedCentralGoogle Scholar
  52. Romer, D., Betancourt, L. M., Brodsky, N. L., Giannetta, J. M., Yang, W., & Hurt, H. (2011). Does adolescent risk taking imply weak executive function? A prospective study of relations between working memory performance, impulsivity, and risk taking in early adolescence. Developmental Science, 14(5), 1119–1133.  https://doi.org/10.1111/j.1467-7687.2011.01061.x.CrossRefPubMedPubMedCentralGoogle Scholar
  53. Romer, D., Reyna, V. F., & Satterthwaite, T. D. (2017). Beyond stereotypes of adolescent risk taking: placing the adolescent brain in developmental context. Developmental Cognitive Neuroscience, 27, 19–34.  https://doi.org/10.1016/j.dcn.2017.07.007.CrossRefPubMedPubMedCentralGoogle Scholar
  54. Ross, V., Jongen, E., Brijs, T., Ruiter, R., Brijs, K., & Wets, G. (2015). The relation between cognitive control and risky driving in young novice drivers. Applied Neuropsychology, 22(1), 61–72.  https://doi.org/10.1080/23279095.2013.838958.CrossRefPubMedGoogle Scholar
  55. Sloboda, Z., Pyakuryal, A., Stephens, P. C., Teasdale, B., Forrest, D., Stephens, R. C., & Grey, S. F. (2008). Reports of substance abuse prevention programming available in schools. Prevention Science, 9(4), 276–287.  https://doi.org/10.1007/s11121-008-0102-0.CrossRefPubMedGoogle Scholar
  56. Steiger, R. M., Stoddard, S. A., & Pierce, J. (2017). Adolescents’ future orientation and nonmedical use of prescription drugs. Addictive Behaviors, 65, 269–274.  https://doi.org/10.1016/j.addbeh.2016.08.017.CrossRefPubMedGoogle Scholar
  57. Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28(1), 78–106.  https://doi.org/10.1016/j.dr.2007.08.002.CrossRefPubMedGoogle Scholar
  58. Steinberg, L., Albert, D., Cauffman, E., Banich, M., Graham, S., & Woolard, J. (2008). Age differences in sensation seeking and impulsivity as indexed by behavior and self-report: evidence for a dual systems model. Developmental Psychology, 44(6), 1764–1778.  https://doi.org/10.1037/a0012955.CrossRefPubMedGoogle Scholar
  59. Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., & Banich, M. (2009). Age differences in future orientation and delay discounting. Child Development, 80(1), 28–44.  https://doi.org/10.1111/j.1467-8624.2008.01244.x.CrossRefPubMedGoogle Scholar
  60. Stoddard, S. A., Zimmerman, M. A., & Bauermeister, J. A. (2011). Thinking about the future as a way to succeed in the present: a longitudinal study of future orientation and violent behaviors among African American youth. American Journal of Community Psychology, 48(3–4), 238–246.  https://doi.org/10.1007/s10464-010-9383-0.CrossRefPubMedPubMedCentralGoogle Scholar
  61. Van Leijenhorst, L., Zanolie, K., Van Meel, C. S., Westenberg, P. M., Rombouts, S. A. R. B., & Crone, E. A. (2010). What motivates the adolescent? Brain regions mediating reward sensitivity across adolescence. Cerebral Cortex, 20(1), 61–69.  https://doi.org/10.1093/cercor/bhp078.CrossRefPubMedGoogle Scholar
  62. Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81.  https://doi.org/10.1006/ceps.1999.1015.CrossRefPubMedGoogle Scholar
  63. Woods, D. L., Kishiyamaa, M. M., Lund, E. W., Herron, T. J., Edwards, B., Poliva, O., Hink, R. F., & Reed, B. (2011). Improving digit span assessment of short-term verbal memory. Journal of Clinical and Experimental Neuropsychology, 33(1), 101–111.  https://doi.org/10.1080/13803395.2010.493149.CrossRefPubMedPubMedCentralGoogle Scholar
  64. Zimbardo, P. G., & Boyd, J. N. (1999). Putting time in perspective: a valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77(6), 1271–1288.  https://doi.org/10.1037/0022-3514.77.6.1271.CrossRefGoogle Scholar
  65. Zuckerman, M. (2007). Sensation seeking and risky behavior. Washington, DC: American Psychological Association. 10.1037/11555-000.Google Scholar
  66. Zuckerman, M., Eysenck, S. B., & Eysenck, H. J. (1978). Sensation seeking in England and America: cross-cultural, age, and sex comparisons. Journal of Consulting and Clinical Psychology, 46(1), 139–149.  https://doi.org/10.1037/0022-006X.46.1.139.CrossRefPubMedGoogle Scholar

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Authors and Affiliations

  1. 1.Department of Kinesiology and Health EducationUniversity of Texas at AustinAustinUSA
  2. 2.Population Research CenterUniversity of Texas at AustinAustinUSA
  3. 3.Department of Population Health, Dell Medical SchoolUniversity of Texas at AustinAustinUSA
  4. 4.Institute for Social ResearchUniversity of MichiganAnn ArborUSA
  5. 5.Department of PsychologyUniversity of MichiganAnn ArborUSA

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