Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-26T21:16:01.598Z Has data issue: false hasContentIssue false

Onset of substance use: Deviant peer, sex, and sympathetic nervous system predictors

Published online by Cambridge University Press:  08 June 2021

J. Benjamin Hinnant*
Affiliation:
Department of Human Development and Family Studies, Auburn University,Auburn,USA
Brian T. Gillis
Affiliation:
Department of Human Development and Family Studies, Auburn University,Auburn,USA
Stephen A. Erath
Affiliation:
Department of Human Development and Family Studies, Auburn University,Auburn,USA
Mona El-Sheikh
Affiliation:
Department of Human Development and Family Studies, Auburn University,Auburn,USA
*
Author for Correspondence: Ben Hinnant, PhD, Human Development and Family Studies; 203 Spidle Hall, Auburn University, Auburn, AL 36849; Email: [email protected].

Abstract

We evaluated whether the association between deviant peer affiliation and onset of substance use is conditional upon sex and sympathetic nervous system (SNS) reactivity as measured by pre-ejection period (PEP). Community-sampled adolescents (N = 251; M = 15.78 years; 53% female; 66% White, 34% Black) participated in three waves. PEP reactivity was collected during a mirror star-tracer stress task. Alcohol, marijuana, tobacco, or any substance use, as well as binge drinking and sexual activity involving substance use were outcomes predicted by affiliation with deviant peers and two- and three-way interactions with sex and PEP reactivity. Probability of substance use increased over time, but this was amplified for adolescents with greater deviant peer affiliation in conjunction with blunted PEP reactivity. The same pattern of results was also found for prediction of binge drinking and sexual activity involving substance use. Findings are discussed in the context of biosocial models of adolescent substance use and health risk behaviors.

Type
Regular Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allen, M., Donohue, W. A., Griffin, A., Ryan, D., & Turner, M. M. M. (2003). Comparing the influence of parents and peers on the choice to use drugs: A meta-analytic summary of the literature. Criminal Justice and Behavior, 30, 163186. doi:10.1177/0093854802251002CrossRefGoogle Scholar
Barnes, G. M., Hoffman, J. H., Welte, J. W., Farrell, M. P., & Dintcheff, B. A. (2006). Effects of parental monitoring and peer deviance on substance use and delinquency. Journal of Marriage and Family, 68, 10841104. doi:10.1111/j.1741-3737.2006.00315.xCrossRefGoogle Scholar
Beauchaine, T. P. (2001). Vagal tone, development, and Gray's motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology. Development and Psychopathology, 13, 183214. doi:10.1017/S0954579401002012CrossRefGoogle ScholarPubMed
Beauchaine, T. P., Gatzke-Kopp, L., & Mead, H. K. (2007). Polyvagal theory and developmental psychopathology: Emotion dysregulation and conduct problems from preschool to adolescence. Biological Psychology, 74, 174184. doi:10.1016/j.biopsycho.2005.08.008CrossRefGoogle Scholar
Beauchaine, T. P., Hong, J., & Marsh, P. (2008). Sex differences in autonomic correlates of conduct problems and aggression. Journal of the American Academy of Child and Adolescent Psychiatry, 47, 788796. doi:10.1097/CHI.Ob013e318172ef4bCrossRefGoogle ScholarPubMed
Berntson, G. G., Bigger, J. T., Eckberg, D. L., Grossman, P., Kaufmann, P. G., Malik, M., … van der Molen, M. W. (1997). Heart rate variability: Origins, methods, and interpretive caveats. Psychophysiology, 34, 623648. doi:10.1111/j.1469-8986.1997.tb02140.xCrossRefGoogle ScholarPubMed
Berntson, G. G., & Cacioppo, J. T. (2004). Heart rate variability: Stress and psychiatric conditions. In Malik, M. & Camm, A. J. (Eds.), Dynamic electrocardiography (pp. 5764). New York, NY: Blackwell/Futura.CrossRefGoogle Scholar
Brechwald, W. A., & Prinstein, M. J. (2011). Beyond homophily: A decade of advances in understanding peer influence processes. Journal of Research on Adolescence, 21, 166179. doi:10.1111/j.1532-7795.2010.00721.xCrossRefGoogle ScholarPubMed
Brenner, S. L., & Beauchaine, T. P. (2011). Pre-ejection period reactivity and psychiatric comorbidity prospectively predict substance use initiation among middle-schoolers: A pilot study. Psychophysiology, 48, 15881596. doi:10.1111/j.1469-8986.2011.01230.xCrossRefGoogle ScholarPubMed
Brenner, S. L., Beauchaine, T. P., & Sylvers, P. D. (2005). A comparison of psychophysiological and self-report measures of BAS and BIS activation. Psychophysiology, 42, 108115. doi:10.1111/j.1469-8986.2005.00261.xCrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention. (2012). 2011 Youth Risk Behavior Survey Data User's Guide.Google Scholar
Cicchetti, D., & Gunnar, M. R. (2008). Integrating biological measures into the design and evaluation of preventive interventions. Development and Psychopathology, 20, 737743. doi:10.1017/S0954579408000357CrossRefGoogle ScholarPubMed
Colder, C. R., Hawk, L. W., Lengua, L. J., Wiezcorek, W., Eiden, R. D., & Read, J. P. (2013). Trajectories of reinforcement sensitivity during adolescence and risk for substance use. Journal of Research on Adolescence, 23, 345356. doi:10.1111/jora.12001Google ScholarPubMed
Creemers, H. E., Dijkstra, J. K., Vollebergh, W. A. M., Ormel, J., Verhulst, F. C., & Huizink, A. C. (2010). Predicting life-time and regular cannabis use during adolescence; the roles of temperament and peer substance use: The TRAILS study. Addiction, 105, 699708. doi:10.1111/j.1360-0443.2009.02819.xCrossRefGoogle ScholarPubMed
Crosnoe, R., Erickson, K. G., & Dornbusch, S. M. (2002). Protective functions of family relationships and school factors on the deviant behavior of adolescent boys and girls: Reducing the impact of risky friendships. Youth & Society, 33, 515544. doi:10.1177/0044118X02033004002CrossRefGoogle Scholar
Derefinko, K. J., Eisenlohr-Moul, T. A., Peters, J. R., Roberts, W., Walsh, E. C., Milich, R., & Lynam, D. R. (2016). Physiological response to reward and extinction predicts alcohol, marijuana, and cigarette use two years later. Drug and Alcohol Dependence, 163, S29S36. doi:10.1016/j.drugalcdep.2016.01.034CrossRefGoogle ScholarPubMed
Dishion, T. J., & Owen, L. D. (2002). A longitudinal analysis of friendships and substance use: Bidirectional influence from adolescence to adulthood. Developmental Psychology, 38, 480491. doi:10.1037/0012-1649.38.4.480CrossRefGoogle Scholar
Dishion, T. J., Piehler, T. F., & Myers, M. W. (2008). Dynamics and ecology of adolescent peer influence. In Prinstein, M. J. & Dodge, K. A. (Eds.), Understanding peer influence in children and adolescents (pp. 7293). New York, NY: The Guilford Press.Google Scholar
Dong, Y., & Peng, C.-Y. J. (2013). Principled missing data methods for researchers. SpringerPlus, 2, 222. doi:10.1186/2193-1801-2-222CrossRefGoogle ScholarPubMed
Farrell, A. D., & White, K. S. (1998). Peer influences and drug use among urban adolescents: Family structure and parent–adolescent relationship as protective factors. Journal of Consulting and Clinical Psychology, 66, 248258. doi:10.1037/0022-006X.66.2.248CrossRefGoogle ScholarPubMed
Frauenglass, S., Routh, D. K., Pantin, H. M., & Mason, C. A. (1997). Family support decreases influence of deviant peers on Hispanic adolescents’ substance use. Journal of Clinical Child Psychology, 26, 1523. doi:10.1207/s15374424jccp2601_2CrossRefGoogle ScholarPubMed
Genovese, J. E. C., & Wallace, D. (2007). Reward sensitivity and substance abuse in middle school and high school students. The Journal of Genetic Psychology, 168, 465469. doi:10.3200/GNTP.168.4.465-469CrossRefGoogle ScholarPubMed
Goedhart, A. D., Willemsen, G., Houtveen, J. H., Boomsma, D. I., & De Geus, E. J. C. (2008). Comparing low frequency heart rate variability and preejection period: Two sides of a different coin. Psychophysiology, 45, 10861090. doi:10.1111/j.1469-8986.2008.00710.xCrossRefGoogle ScholarPubMed
Gray, J. A. (1982). Précis of The neuropsychology of anxiety: An enquiry into the functions of the septo-hippocampal system. Behavioral and Brain Sciences, 5, 469484. doi:10.1017/S0140525X00013066CrossRefGoogle Scholar
Hinnant, J. B., Erath, S. A., Tu, K. M., & El-Sheikh, M. (2016a). Permissive parenting, deviant peer affiliations, and delinquent behavior in adolescence: The moderating role of sympathetic nervous system reactivity. Journal of Abnormal Child Psychology, 44, 10711081. doi:10.1007/s10802-015-0114-8CrossRefGoogle Scholar
Hinnant, J. B., Forman-Alberti, A. B., Freedman, A., Byrnes, L., & Degnan, K. A. (2016b). Approach behavior and sympathetic nervous system reactivity predict substance use in young adults. International Journal of Psychophysiology, 105, 3538. doi:10.1016/j.ijpsycho.2016.04.013CrossRefGoogle Scholar
Johnston, L. D., Miech, R. A., O'Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Patrick, M. E. (2019). Monitoring the future national survey results on drug use, 1975-2018: Overview, key findings on adolescent drug use. Ann Arbor, MI: Institute for Social Research, University of Michigan.CrossRefGoogle Scholar
Kiesner, J., Poulin, F., & Dishion, T. J. (2010). Adolescent substance use with friends: Moderating and mediating effects of parental monitoring and peer activity contexts. Merrill-Palmer Quarterly, 56, 529556. doi:10.1353/mpq.2010.0002CrossRefGoogle ScholarPubMed
Mayberry, M. L., Espelage, D. L., & Koenig, B. (2009). Multilevel modeling of direct effects and interactions of peers, parents, school, and community influences on adolescent substance use. Journal of Youth and Adolescence, 38, 10381049. doi:10.1007/s10964-009-9425-9CrossRefGoogle ScholarPubMed
McNaughton, N., & Gray, J. A. (2000). Anxiolytic action on the behavioural inhibition system implies multiple types of arousal contribute to anxiety. Journal of Affective Disorders, 61, 161176. doi:10.1016/S0165-0327(00)00344-XCrossRefGoogle ScholarPubMed
Metzler, C. W., Biglan, A., Ary, D. V., & Li, F. (1998). The stability and validity of early adolescents’ reports of parenting constructs. Journal of Family Psychology, 12, 600619. doi:10.1037/0893-3200.12.4.600CrossRefGoogle 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 I, secondary school students. Ann Arbor, MI: Institute for Social Research, University of Michigan.Google Scholar
Muthén, L. K., & Muthén, B. O. (2017). Growth modeling and survival analysis. In Mplus user's guide (Eighth ed.). Los Angeles, CA: AuthorsGoogle Scholar
Newlin, D. B., & Levenson, R. W. (1979). Pre-ejection period: Measuring beta-adrenergic influences upon the heart. Psychophysiology, 16, 546552. doi:10.1111/j.1469-8986.1979.tb01519.xCrossRefGoogle ScholarPubMed
Parker, J. G., Rubin, K. H., Erath, S. A., Wojslawowicz, J. C., & Buskirk, A. A. (2006). Peer relationships, child development, and adjustment: A developmental psychopathology perspective. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychopathology (2nd ed., Vol. 1, pp. 419493). Hoboken, NJ: John Wiley & Sons, Inc.Google Scholar
Pickering, A., & Corr, P. (2008). J.A. Gray's reinforcement sensitivity theory (RST) of personality. In Boyle, G., Matthews, G., & Saklofske, D. (Eds.), The SAGE handbook of personality theory and assessment: Volume 1 – personality theories and models (pp. 239256). Thousand Oaks, CA: SAGE Publishing.CrossRefGoogle Scholar
Richter, M., & Gendolla, G. H. E. (2009). The heart contracts to reward: Monetary incentives and preejection period. Psychophysiology, 46, 451457. doi:10.1111/j.1469-8986.2009.00795.xCrossRefGoogle ScholarPubMed
Scaramella, L. V., Conger, R. D., Spoth, R., & Simons, R. L. (2002). Evaluation of a social contextual model of delinquency: A cross-study replication. Child Development, 73, 175195. doi:10.1111/1467-8624.00399CrossRefGoogle ScholarPubMed
Svensson, R. (2003). Gender differences in adolescent drug use: The impact of parental monitoring and peer deviance. Youth & Society, 34, 300329. doi:10.1177/0044118X02250095CrossRefGoogle Scholar
Tucker, J. S., Orlando, M., & Ellickson, P. L. (2003). Patterns and correlates of binge drinking trajectories from early adolescence to young adulthood. Health Psychology, 22, 7987. doi:10.1037/0278-6133.22.1.79CrossRefGoogle ScholarPubMed
U.S. Department of Commerce. (2012). Poverty thresholds: Poverty thresholds by size of family and number of children. Retrieved from https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.htmlGoogle Scholar
van Lier, P. A., Vitaro, F., Wanner, B., Vuijk, P., & Crijnen, A. A. (2005). Gender differences in developmental links among antisocial behavior, friends’ antisocial behavior, and peer rejection in childhood: Results from two cultures. Child Development, 76, 841855. doi:10.1111/j.1467-8624.2005.00881.xCrossRefGoogle ScholarPubMed
Westling, E., Andrews, J. A., Hampson, S. E., & Peterson, M. (2008). Pubertal timing and substance use: The effects of gender, parental monitoring and deviant peers. Journal of Adolescent Health, 42, 555563. doi:10.1016/j.jadohealth.2007.11.002CrossRefGoogle ScholarPubMed
Wilder, J. (2014). Stimulus and response: The law of initial value. Burlington: Elsevier.Google Scholar
Willem, L., Bijttebier, P., & Claes, L. (2010). Reactive and self-regulatory temperament dimensions in relation to alcohol use in adolescence. Addictive Behaviors, 35, 10291035. doi:10.1016/j.addbeh.2010.06.023CrossRefGoogle ScholarPubMed
Windle, M. (2000). Parental, sibling, and peer influences on adolescent substance use and alcohol problems. Applied Developmental Science, 4, 98110. doi:10.1207/s1532480xads0402_5CrossRefGoogle Scholar
Zisner, A. R., & Beauchaine, T. P. (2016). Psychophysiological methods and developmental psychopathology. In Cicchetti, D. (Ed.), Developmental psychopathology (3rd ed., Vol. 2, pp. 832884). Hoboken, NJ: John Wiley & Sons, Inc.Google Scholar
Zwiener, I., Blettner, M., & Hommel, G. (2011). Survival analysis: Part 15 of a series on evaluation of scientific publications. Deutsches Arzteblatt International, 108, 163169. doi:10.3238/arztebl.2011.0163Google ScholarPubMed