Adolescent Risk Behavior: Differentiating Reasoned And Reactive Risk-taking
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.
KeywordsRisk behavior Sensation seeking Future orientation Working memory Risk/benefit appraisal
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.
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.
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 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.
- 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
- Centers for Disease Control and Prevention. (2017). Youth Risk Behavior Surveillance System (YRBSS). https://www.cdc.gov/healthyyouth/data/yrbs/index.htm
- Centers for Disease Control and Prevention. (2016). CDC Wonder [Online databases]. http://wonder.cdc.gov
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide (8th edn). Los Angeles: Muthén & Muthén.Google Scholar
- 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
- 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
- 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
- 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
- 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
- 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
- Zuckerman, M. (2007). Sensation seeking and risky behavior. Washington, DC: American Psychological Association. 10.1037/11555-000.Google Scholar