Abstract
Compared to childhood and adulthood, adolescence is a time of greater risk-taking behavior, potentially resulting in serious consequences. Theories of adolescent brain development highlight the imbalance between neural circuitry for reward vs. regulation. Although this imbalance may make adolescents more vulnerable to impaired decision-making in the context of heightened arousal, not all adolescents exhibit problematic risk behavior, suggesting other factors are involved. Relatedly, parent-adolescent conflict increases in mid-adolescence, and is linked to negative outcomes like substance use related risk-taking. However, the mechanism by which parent-adolescent conflict and risk-taking are linked is still unknown. Therefore, we investigated this association using a multi-method experimental design. Parent-adolescent dyads were randomly assigned to complete a discussion task together on the topic of either the adolescent’s dream vacation or an adolescent-identified conflict topic. During the task, adolescent peripheral psychophysiology was measured for later calculation of heart rate variability (HRV), an index of self-regulation. Immediately after the discussion task, adolescents completed a performance-based measure of risk-taking propensity that indexes real-world risk behaviors. We hypothesized that parent-adolescent conflict would predict greater adolescent risk-taking propensity, and that increased behavioral arousal in the context of conflict, coupled with impaired self-regulation, would explain this link. Results indicated no direct effect of parent-adolescent conflict on adolescent risk-taking propensity. However, there was a significant conditional indirect effect: lower HRV, indexing worse regulatory ability, mediated the relation between conflict and risk-taking propensity but only for adolescents exhibiting behavioral arousal during the discussion task. We discuss implications for understanding adolescent risk-taking behavior.
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Notes
Prior to enrolling any participants, all participant identification numbers were randomly pre-assigned to a discussion task condition—either a conflict topic or a control topic—using an online random number generator (www.graphpad.com). We used the option “randomly assign subjects to group”; the random number generator uses as a seed the time of day. The automated randomization process is as follows: 1) participants were assigned to groups nonrandomly; 2) each participant’s group assignment was switched with a randomly selected participant; 3) this process occurred two more times to ensure random group assignment.
CMetX filters the time series IBI in the .12–.40 Hz “high frequency” band and applies a log transformation to its variance, referring to this metric as the estimate of log-transformed respiratory sinus arrhythmia (RSA). Because we did not measure respiration (see also Amole et al. 2017), for clarity we refer to it as HF-HRV. The estimate of logRSA calculated using CMetX during a stressor task correlated at 0.99 for spectral power and amplitude, indicating its high overlap with high-frequency HRV (HF-HRV; Allen et al. 2007).
References
Alexander, J. F., & Parsons, B. V. (1982). Functional family therapy: Principles and procedures. Carmel: Brooks/Cole.
Allen, J. J. B. (2002). Calculating metrics of cardiac chrontropy: A pragmatic overview. Psychophysiology, 39, S18–S18.
Allen, J. J. B., Chambers, A. S., & Towers, D. N. (2007). The many metrics of cardiac chronotropy: A pragmatic primer and a brief comparison of metrics. Biological Psychology, 74, 243–262. https://doi.org/10.1016/j.biopsycho.2006.08.005.
Amole, M. C., Cyranowski, J. M., Wright, A. G. C., & Swartz, H. A. (2017). Depression impacts the physiological responsiveness of mother-daughter dyads during social interaction. Depression and Anxiety, 34, 118–126. https://doi.org/10.1002/da.22595.
Anderson, E. R., & Hope, D. A. (2009). The relationship among social phobia, objective and perceived physiological reactivity, and anxiety sensitivity in an adolescent population. Journal of Anxiety Disorders, 23, 18–26. https://doi.org/10.1016/j.janxdis.2008.03.011.
Arnsten, A. F. T. (1999). Development of the cerebral cortex: XIV. Stress impairs prefrontal cortical function. Journal of the American Academy of Child & Adolescent Psychiatry, 38, 220–222. https://doi.org/10.1097/00004583-199902000-00024.
Arnsten, A. F. T., Raskind, M. A., Taylor, F. B., & Connor, D. F. (2015). The effects of stress exposure on prefrontal cortex: Translating basic research into successful treatments for post-traumatic stress disorder. Neurobiology of Stress, 1, 89–99.
Ary, D. V., Duncan, T. E., Biglan, A., Metzler, C. W., Noell, J. W., & Smolkowski, K. (1999). Development of adolescent problem behavior. Journal of Abnormal Child Psychology, 27, 141–150. https://doi.org/10.1023/a:1021963531607.
Beauchaine, T. P., & Thayer, J. F. (2015). Heart rate variability as a transdiagnostic biomarker of psychopathology. International Journal of Psychophysiology, 98, 338–350. https://doi.org/10.1016/j.ijpsycho.2015.08.004.
Berntson, G. G., Bigger, J. T., Jr., Eckberg, D. L., Grossman, P., Kaufmann, P. G., Malik, M., et al. (1997). Heart rate variability: Origins, methods, and interpretive caveats. Psychophysiology, 34, 623–648. https://doi.org/10.1111/j.1469-8986.1997.tb02140.x.
Berntson, G. G., Quigley, K. S., & Lozano, D. (2007). Cardiovascular psychophysiology. In J. T. Cacioppo, L. G. Tassinary, & G. G. Berntson (Eds.), Handbook of psychophysiology (3rd ed., pp. 182–210). New York: Cambridge University Press.
Beyth-Marom, R., Austin, L., Fischhoff, B., Palmgren, C., & Jacobs-Quadrel, M. (1993). Perceived consequences of risky behaviors: Adults and adolescents. Developmental Psychology, 29, 549–563. https://doi.org/10.1037/0012-1649.29.3.549.
Botdorf, M., Rosenbaum, G. M., Patrianakos, J., Steinberg, L., & Chein, J. M. (2017). Adolescent risk-taking is predicted by individual differences in cognitive control over emotional, but not non-emotional, response conflict. Cognition and Emotion, 31, 972–979. https://doi.org/10.1080/02699931.2016.1168285.
Branje, S. (2018). Development of parent-adolescent relationships: Conflict interactions as a mechanism of change. Child Development Perspectives, 12, 171–176. https://doi.org/10.1111/cdep.12278.
Buehler, C. (2006). Parents and peers in relation to early adolescent problem behavior. Journal of Marriage and Family, 68, 109–124. https://doi.org/10.1111/j.1741-3737.2006.00237.x.
Buelow, M. T., & Blaine, A. L. (2015). The assessment of risky decision making: A factor analysis of performance on the Iowa gambling task, balloon analogue risk task, and Columbia card task. Psychological Assessment, 27, 777–785. https://doi.org/10.1037/a0038622.
Burt, S. A., & Klump, K. L. (2014). Parent–child conflict as an etiological moderator of childhood conduct problems: An example of a 'bioecological' gene–environment interaction. Psychological Medicine, 44, 1065–1076. https://doi.org/10.1017/S0033291713001190.
Burt, S. A., Krueger, R. F., McGue, M., & Iacono, W. (2003). Parent-child conflict and the comorbidity among childhood externalizing disorders. Archives of General Psychiatry, 60, 505–513. https://doi.org/10.1001/archpsyc.60.5.505.
Burt, S. A., McGue, M., Krueger, R. F., & Iacono, W. G. (2005). How are parent-child conflict and childhood externalizing symptoms related over time? Results from a genetically informative cross-lagged study. Development and Psychopathology, 17, 145–165. https://doi.org/10.1017/S095457940505008X.
Casey, B. J. (2015). Beyond simple models of self-control to circuit-based accounts of adolescent behavior. Annual Review of Psychology, 66, 295–319. https://doi.org/10.1146/annurev-psych-010814-015156.
Casey, B. J., Heller, A. S., Gee, D. G., & Cohen, A. O. (2017). Development of the emotional brain. Neuroscience Letters, 693, 29–34. https://doi.org/10.1016/j.neulet.2017.11.055.
Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., Meier, M. H., Ramrakha, S., Shalev, I., Poulton, R., & Moffitt, T. E. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science, 2, 119–137. https://doi.org/10.1177/2167702613497473.
Chaplin, T. M., Sinha, R., Simmons, J. A., Healy, S. M., Mayes, L. C., Hommer, R. E., & Crowley, M. J. (2012). Parent–adolescent conflict interactions and adolescent alcohol use. Addictive Behaviors, 37, 605–612. https://doi.org/10.1016/j.addbeh.2012.01.004.
Chida, Y., & Hamer, M. (2008). Chronic psychosocial factors and acute physiological responses to laboratory-induced stress in healthy populations: A quantitative review of 30 years of investigations. Psychological Bulletin, 134, 829–885. https://doi.org/10.1037/a0013342.
Chida, Y., & Steptoe, A. (2009). The Association of Anger and Hostility with Future Coronary Heart Disease a Meta-Analytic Review of prospective evidence. Journal of the American College of Cardiology, 53(11), 936–946. https://doi.org/10.1016/j.jacc.2008.11.044.
Collado, A., Felton, J. W., MacPherson, L., & Lejuez, C. W. (2014). Longitudinal trajectories of sensation seeking, risk taking propensity, and impulsivity across early to middle adolescence. [Article]. Addictive Behaviors, 39(11), 1580–1588, https://doi.org/10.1016/j.addbeh.2014.01.024
Crowell, S. E., Baucom, B. R., McCauley, E., Potapova, N. V., Fitelson, M., Barth, H., Smith, C. J., & Beauchaine, T. P. (2013). Mechanisms of contextual risk for adolescent self-injury: Invalidation and conflict escalation in mother-child interactions. Journal of Clinical Child and Adolescent Psychology, 42, 467–480. https://doi.org/10.1080/15374416.2013.785360.
Curry, L. A., & Youngblade, L. M. (2006). Negative affect, risk perception, and adolescent risk behavior. Journal of Applied Developmental Psychology, 27, 468–485. https://doi.org/10.1016/j.appdev.2006.06.001.
De Los Reyes, A., Aldao, A., Thomas, S. A., Daruwala, S., Swan, A. J., Van Wie, M., et al. (2012a). Adolescent self-reports of social anxiety: Can they disagree with objective psychophysiological measures and still be valid? Journal of Psychopathology and Behavioral Assessment, 34, 308–322. https://doi.org/10.1007/s10862-012-9289-2.
De Los Reyes, A., Thomas, S. A., Swan, A. J., Ehrlich, K. B., Reynolds, E. K., Suarez, L., et al. (2012b). "it depends on what you mean by 'Disagree'": Differences between parent and child perceptions of parent-child conflict. Journal of Psychopathology and Behavioral Assessment, 34, 293–307. https://doi.org/10.1007/s10862-012-9288-3.
Defoe, I. N., Dubas, J. S., Figner, B., & van Aken, M. A. G. (2015). A meta-analysis on age differences in risky decision making: Adolescents versus children and adults. Psychological Bulletin, 141, 48–84. https://doi.org/10.1037/a0038088.
Derryberry, D., & Tucker, D. M. (1994). Motivating the focus of attention. In P. Niedenthal & S. Kitayama (Eds.), The heart’s eye: Emotional influences in perception and attention (pp. 167–196). San Diego: Academic Press.
Dickerson, S. S., & Kemeny, M. E. (2004). Acute stressors and cortisol responses: A theoretical integration and synthesis of laboratory research. Psychological Bulletin, 130, 355–391. https://doi.org/10.1037/0033-2909.130.3.355.
Dmitrieva, J., Chen, C. S., Greenberger, E., & Gil-Rivas, V. (2004). Family relationships and adolescent psychosocial outcomes: Converging findings from eastern and Western cultures. Journal of Research on Adolescence, 14, 425–447. https://doi.org/10.1111/j.1532-7795.2004.00081.x.
Donenberg, G. R., & Weisz, J. R. (1997). Experimental task and speaker effects on parent-child interactions of aggressive and depressed/anxious children. Journal of Abnormal Child Psychology, 25, 367–387. https://doi.org/10.1023/A:1025733023979.
Dreyfuss, M., Caudle, K., Drysdale, A. T., Johnston, N. E., Cohen, A. O., Somerville, L. H., Galván, A., Tottenham, N., Hare, T. A., & Casey, B. J. (2014). Teens impulsively react rather than retreat from threat. Developmental Neuroscience, 36, 220–227. https://doi.org/10.1159/000357755.
Duncan, S. C., Duncan, T. E., Biglan, A., & Ary, D. (1998). Contributions of the social context to the development of adolescent substance use: A multivariate latent growth modeling approach. Drug and Alcohol Dependence, 50, 57–71. https://doi.org/10.1016/s0376-8716(98)00006-4.
Easterbrook, J. A. (1959). The effect of emotion on cue utilization and the organization of behavior. Psychological Review, 66, 183–201. https://doi.org/10.1037/h0047707.
Edwards, J. R., & Lambert, L. S. (2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods, 12, 1–22. https://doi.org/10.1037/1082-989x.12.1.1.
Ehrlich, K. B., Dykas, M. J., & Cassidy, J. (2012). Tipping points in adolescent adjustment: Predicting social functioning from adolescents' conflict with parents and friends. Journal of Family Psychology, 26, 776–783. https://doi.org/10.1037/a0029868.
Evans, J. S. (2003). In two minds: Dual-process accounts of reasoning. Trends in Cognitive Sciences, 7(10), 454–459.
Figner, B., Mackinlay, R. J., Wilkening, F., & Weber, E. U. (2009). Affective and deliberative processes in risky choice: Age differences in risk taking in the Columbia card task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, 709–730. https://doi.org/10.1037/a0014983.
Fosco, G. M., Lippold, M., & Feinberg, M. E. (2014). Interparental boundary problems, parent-adolescent hostility, and adolescent-parent hostility: A family process model for adolescent aggression problems. Couple and Family Psychology: Research and Practice, 3, 141–155.
Galvan, A., & Rahdar, A. (2013). The neurobiological effects of stress on adolescent decision making. Neuroscience, 249, 223–231. https://doi.org/10.1016/j.neuroscience.2012.09.074.
Galvan, A., Hare, T. A., Parra, C. E., Penn, J., Voss, H., Glover, G., & Casey, B. J. (2006). Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. The Journal of Neuroscience, 26, 6885–6892. https://doi.org/10.1523/JNEUROSCI.1062-06.2006.
Glatz, T., Lippold, M., Jensen, T. M., Fosco, G. M., & Feinberg, M. E. (2019). Hostile interactions in the family: Patterns and links to youth externalizing problems. The Journal of Early Adolescence, 0(0), https://doi.org/10.1177/0272431618824718.
Gottman, J. M. (1979). Marital interaction: Experimental investigations. New York: Academic Press.
Gunnar, M. R., Talge, N. M., & Herrera, A. (2009). Stressor paradigms in developmental studies: What does and does not work to produce mean increases in salivary cortisol. Psychoneuroendocrinology, 34, 953–967. https://doi.org/10.1016/j.psyneuen.2009.02.010.
Hartnett, D., Carr, A., Hamilton, E., & O'Reilly, G. (2017). The effectiveness of functional family therapy for adolescent behavioral and substance misuse problems: A meta-analysis. Family Process, 56, 607–619. https://doi.org/10.1111/famp.12256.
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (methodology in the social sciences). New York: Guilford Press.
Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50, 1–22. https://doi.org/10.1080/00273171.2014.962683.
Hermans, E. J., Henckens, M. J., Joels, M., & Fernandez, G. (2014). Dynamic adaptation of large-scale brain networks in response to acute stressors. Trends in Neurosciences, 37, 304–314. https://doi.org/10.1016/j.tins.2014.03.006.
Holzman, J. B., & Bridgett, D. J. (2017). Heart rate variability indices as bio-markers of top-down self-regulatory mechanisms: A meta-analytic review. Neuroscience and Biobehavioral Reviews, 74, 233–255. https://doi.org/10.1016/j.neubiorev.2016.12.032.
Jamieson, J. P., & Mendes, W. B. (2016). Social stress facilitates risk in youths. Journal of Experimental Psychology-General, 145, 467–485. https://doi.org/10.1037/xge0000147.
Jamieson, J. P., Hangen, E. J., Lee, H. Y., & Yeager, D. S. (2018). Capitalizing on appraisal processes to improve affective responses to social stress. Emotion Review, 10, 30–39. https://doi.org/10.1177/1754073917693085.
Johnson, S. B., Dariotis, J. K., & Wang, C. (2012). Adolescent risk taking under stressed and nonstressed conditions: Conservative, calculating, and impulsive types. Journal of Adolescent Health, 51, S34–S40. https://doi.org/10.1016/j.jadohealth.2012.04.021.
Kann, L., McManus, T., Harris, W. A., Shanklin, S. L., Flint, K. H., Hawkins, J., et al. (2016). Youth risk behavior surveillance - United States, 2015. MMWR Surveill Summ, 65, 1-174, doi:https://doi.org/10.15585/mmwr.ss6506a1.
Kemp, A. H., Koenig, J., & Thayer, J. F. (2017). From psychological moments to mortality: A multidisciplinary synthesis on heart rate variability spanning the continuum of time. Neuroscience & Biobehavioral Reviews, 83, 547–567. https://doi.org/10.1016/j.neubiorev.2017.09.006.
Klahr, A. M., Rueter, M. A., McGue, M., Iacono, W. G., & Burt, A. S. (2011). The relationship between parent-child conflict and adolescent antisocial behavior: Confirming shared environmental mediation. Journal of Abnormal Child Psychology, 39, 683–694. https://doi.org/10.1007/s10802-011-9505-7.
Laborde, S., Mosley, E., & Thayer, J. F. (2017). Heart rate variability and cardiac vagal tone in psychophysiological research - recommendations for experiment planning, data analysis, and data reporting. Frontiers in Psychology, 8, 213. https://doi.org/10.3389/fpsyg.2017.00213.
Lane, R. D., Weidenbacher, H., Smith, R., Fort, C., Thayer, J. F., & Allen, J. J. (2013). Subgenual anterior cingulate cortex activity covariation with cardiac vagal control is altered in depression. Journal of Affective Disorders, 150, 565–570. https://doi.org/10.1016/j.jad.2013.02.005.
Laursen, B., & Hafen, C. A. (2010). Future directions in the study of close relationships: Conflict is bad (except when it's not). Social Development, 19, 858–872. https://doi.org/10.1111/j.1467-9507.2009.00546.x.
Laursen, B., Coy, K. C., & Collins, W. A. (1998). Reconsidering changes in parent–child conflict across adolescence: A meta-analysis. Child Development, 69, 817–832. https://doi.org/10.2307/1132206.
Laursen, B., DeLay, D., Richmond, A., & Rubin, K. H. (2016). Youth negative affect attenuates associations between compromise and mother-adolescent conflict outcomes. Journal of Child and Family Studies, 25, 1110–1118. https://doi.org/10.1007/s10826-015-0288-2.
Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., Strong, D. R., & Brown, R. A. (2002). Evaluation of a behavioral measure of risk taking: The balloon analogue risk task (BART). Journal of Experimental Psychology: Applied, 8, 75–84. https://doi.org/10.1037/1076-898x.8.2.75.
Lejuez, C. W., Aklin, W. M., Jones, H. A., Richards, J. B., Strong, D. R., Kahler, C. W., & Read, J. P. (2003). The balloon analogue risk task (BART) differentiates smokers and nonsmokers. Experimental and Clinical Psychopharmacology, 11, 26–33. https://doi.org/10.1037/1064-1297.11.1.26.
Lejuez, C. W., Aklin, W. M., Bornovalova, M. A., & Moolchan, E. T. (2005). Differences in risk-taking propensity across inner-city adolescent ever- and never-smokers. Nicotine & Tobacco Research, 7, 71–79. https://doi.org/10.1080/14622200412331328484.
Lejuez, C. W., Aklin, W., Daughters, S., Zvolensky, M., Kahler, C., & Gwadz, M. (2007). Reliability and validity of the youth version of the balloon analogue risk task (BART-Y) in the assessment of risk-taking behavior among inner-city adolescents. Journal of Clinical Child and Adolescent Psychology, 36, 106–111. https://doi.org/10.1207/s15374424jccp3601_11.
Liston, C., McEwen, B. S., & Casey, B. J. (2009). Psychosocial stress reversibly disrupts prefrontal processing and attentional control. Proceedings of the National Academy of Sciences of the United States of America, 106, 912–917. https://doi.org/10.1073/pnas.0807041106.
Luecken, L. J., & Roubinov, D. S. (2012). Hostile behavior links negative childhood family relationships to heart rate reactivity and recovery in young adulthood. International Journal of Psychophysiology, 84, 172–179. https://doi.org/10.1016/j.ijpsycho.2012.02.003.
MacPherson, L., Reynolds, E. K., Daughters, S. B., Wang, F., Cassidy, J., Mayes, L. C., & Lejuez, C. W. (2010). Positive and negative reinforcement underlying risk behavior in early adolescents. Prevention Science, 11, 331–342. https://doi.org/10.1007/s11121-010-0172-7.
Maier, S. U., & Hare, T. A. (2017). Higher heart-rate variability is associated with ventromedial prefrontal cortex activity and increased resistance to temptation in dietary self-control challenges. Journal of Neuroscience, 37, 446–455. https://doi.org/10.1523/jneurosci.2815-16.2017.
Mather, M., & Lighthall, N. R. (2012). Both risk and reward are processed differently in decisions made under stress. Current Directions in Psychological Science, 21, 36–41. https://doi.org/10.1177/0963721411429452.
Maxwell, S. E., & Cole, D. A. (2007). Bias in cross-sectional analyses of longitudinal mediation. Psychological Methods, 12, 23–44. https://doi.org/10.1037/1082-989x.12.1.23.
Odgers, C. L., Caspi, A., Nagin, D. S., Piquero, A. R., Slutske, W. S., Milne, B. J., Dickson, N., Poulton, R., & Moffitt, T. E. (2008). Is it important to prevent early exposure to drugs and alcohol among adolescents? Psychological Science, 19, 1037–1044. https://doi.org/10.1111/j.1467-9280.2008.02196.x.
Porcelli, A. J., & Delgado, M. R. (2009). Acute stress modulates risk taking in financial decision making. Psychological Science, 20, 278–283. https://doi.org/10.1111/j.1467-9280.2009.02288.x.
Porcelli, A. J., & Delgado, M. R. (2017). Stress and decision making: Effects on valuation, learning, and risk-taking. Current Opinion in Behavioral Sciences, 14, 33–39. https://doi.org/10.1016/j.cobeha.2016.11.015.
Qin, S., Hermans, E. J., van Marle, H. J. F., Luo, J., & Fernández, G. (2009). Acute psychological stress reduces working memory-related activity in the dorsolateral prefrontal cortex. Biological Psychiatry, 66, 25–32. https://doi.org/10.1016/j.biopsych.2009.03.006.
Qu, Y., Fuligni, A. J., Galvan, A., & Telzer, E. H. (2015). Buffering effect of positive parent-child relationships on adolescent risk taking: A longitudinal neuroimaging investigation. Developmental Cognitive Neuroscience, 15, 26–34. https://doi.org/10.1016/j.dcn.2015.08.005.
Quadrel, M. J., Fischhoff, B., & Davis, W. (1993). Adolescent (in)vulnerability. American Psychologist, 48, 102–116. https://doi.org/10.1037/0003-066x.48.2.102.
Rosenbaum, G. M., & Hartley, C. A. (2019). Developmental perspectives on risky and impulsive choice. Philosophical Transactions of the Royal Society B-Biological Sciences, 374(1766), 13. https://doi.org/10.1098/rstb.2018.0133.
Rosenbaum, G. M., Venkatraman, V., Steinberg, L., & Chein, J. M. (2018). The influences of described and experienced information on adolescent risky decision making. Developmental Review, 47, 23–43. https://doi.org/10.1016/j.dr.2017.09.003.
Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental Cognitive Neuroscience, 17, 103–117. https://doi.org/10.1016/j.dcn.2015.12.010.
Simonovic, B., Stupple, E. J. N., Gale, M., & Sheffield, D. (2018). Performance under stress: An eye-tracking investigation of the Iowa gambling task (IGT). Frontiers in Behavioral Neuroscience, 12, 217. https://doi.org/10.3389/fnbeh.2018.00217.
Smetana, J. G. (1989). Adolescents' and parents' reasoning about actual family conflict. Child Development, 60, 1052–1067. https://doi.org/10.2307/1130779.
Smith, R., Allen, J. J. B., Thayer, J. F., & Lane, R. D. (2016). Regional frontal lobe response magnitudes during affective shifting Covary with resting heart rate variability in healthy volunteers a preliminary report. Journal of Psychophysiology, 30, 165–175. https://doi.org/10.1027/0269-8803/a000166.
Somerville, L. H., & Casey, B. J. (2010). Developmental neurobiology of cognitive control and motivational systems. Current Opinion in Neurology, 20, 236–241. https://doi.org/10.1016/j.conb.2010.01.006.
Somerville, L. H., Jones, R. M., & Casey, B. J. (2010). A time of change: Behavioral and neural correlates of adolescent sensitivity to appetitive and aversive environmental cues. Brain and Cognition, 72, 124–133. https://doi.org/10.1016/j.bandc.2009.07.003.
Spear, L. P. (2011). Rewards, aversions and affect in adolescence: Emerging convergences across laboratory animal and human data. Developmental Cognitive Neuroscience, 1, 390–403. https://doi.org/10.1016/j.dcn.2011.08.001.
Starcke, K., & Brand, M. (2016). Effects of stress on decisions under uncertainty: A meta-analysis. Psychological Bulletin, 142, 909–933. https://doi.org/10.1037/bul0000060.
Steeger, C. M., Cook, E. C., & Connell, C. M. (2017). The interactive effects of stressful family life events and cortisol reactivity on adolescent externalizing and internalizing behaviors. Child Psychiatry & Human Development, 48, 225–234. https://doi.org/10.1007/s10578-016-0635-6.
Stride, C. B., Gardner, S., Catley, N., & Thomas, F. (2015). Mplus code for mediation, moderation, and moderated mediation models. http://www.offbeat.group.shef.ac.uk/FIO/mplusmedmod.htm
Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: HarperCollins Publishers.
Thayer, J. F., & Lane, R. D. (2009). Claude Bernard and the heart-brain connection: Further elaboration of a model of neurovisceral integration. Neuroscience and Biobehavioral Reviews, 33, 81–88. https://doi.org/10.1016/j.neubiorev.2008.08.004.
Thomas, S. A., Aldao, A., & De Los Reyes, A. (2012). Implementing clinically feasible psychophysiological measures in evidence-based assessments of adolescent social anxiety. Professional Psychology-Research and Practice, 43, 510–519. https://doi.org/10.1037/a0029183.
Thomas, S. A., Wilson, T., Jain, A., Deros, D. E., Um, M., Hurwitz, J., Jacobs, I., Myerberg, L., Ehrlich, K. B., Dunn, E. J., Aldao, A., Stadnik, R., De Los Reyes, A. (2017). Toward Developing Laboratory-Based Parent-Adolescent Conflict Discussion Tasks that Consistently Elicit Adolescent Conflict-Related Stress Responses: Support from Physiology and Observed Behavior. Journal of Child and Family Studies, 26(12), 3288–3302, https://doi.org/10.1007/s10826-017-0844-z
U.S. Census Bureau. (2010). State and county quickfacts: Washington, DC. Retrieved January 16, 2017, from http://www.census.gov/quickfacts/table/PST045216/00
Uy, J. P., & Galvan, A. (2017). Acute stress increases risky decisions and dampens prefrontal activation among adolescent boys. NeuroImage, 146, 679–689. https://doi.org/10.1016/j.neuroimage.2016.08.067.
Van Doorn, M. D., Branje, S. J. T., & Meeus, W. H. J. (2008). Conflict resolution in parent-adolescent relationships and adolescent delinquency. The Journal of Early Adolescence, 28, 503–527. https://doi.org/10.1177/0272431608317608.
Weymouth, B. B., Buehler, C., Zhou, N., & Henson, R. A. (2016). A meta-analysis of parent-adolescent conflict: Disagreement, hostility, and youth maladjustment. Journal of Family Theory & Review, 8, 95–112. https://doi.org/10.1111/jftr.12126.
Wichary, S., Mata, R., & Rieskamp, J. (2016). Probabilistic inferences under emotional stress: How arousal affects decision processes. Journal of Behavioral Decision Making, 29, 525–538. https://doi.org/10.1002/bdm.1896.
Wolff, J. M., & Crockett, L. J. (2011). The role of deliberative decision making, parenting, and friends in adolescent risk behaviors. Journal of Youth and Adolescence, 40, 1607–1622. https://doi.org/10.1007/s10964-011-9644-8.
Ziv, Y., Cassidy, J., & Ramos-Marcuse, F. (2002). The conflict task coding system. Unpublished manuscript. University of Maryland, College Park, Maryland.
Funding
This work was partially supported by a Predoctoral National Research Service Award from the National Institute on Drug Abuse (F31-DA033913 Thomas), a post-doctoral service award from the National Institute of Mental Health (T32MH078788 Thomas), a Psi Chi Graduate Research Grant (Thomas), and an American Psychological Foundation Elizabeth Munsterberg Koppitz Child Psychology Graduate Student Fellowship (Thomas). This work was also partially supported by a grant from the National Science Foundation (SES-1461392) awarded to Andres De Los Reyes. Sarah A. Thomas is partially supported by Institutional Development Award Number U54GM115677 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds Advance Clinical and Translational Research (Advance-CTR). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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Sarah A. Thomas, Anjali Jain, Tristan Wilson, Danielle E. Deros, Irene Jacobs, Emily J. Dunn, Amelia Aldao, Ryan Stadnik, and Andres De Los Reyes declare that they have no conflicts of interest.
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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.
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Thomas, S.A., Jain, A., Wilson, T. et al. Moderated Mediation of the Link between Parent-Adolescent Conflict and Adolescent Risk-Taking: the Role of Physiological Regulation and Hostile Behavior in an Experimentally Controlled Investigation. J Psychopathol Behav Assess 41, 699–715 (2019). https://doi.org/10.1007/s10862-019-09747-w
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DOI: https://doi.org/10.1007/s10862-019-09747-w