Dissecting "Peer Presence" and "Decisions" to Deepen Understanding of Peer Influence on Adolescent Risky Choice.


Journal

Child development
ISSN: 1467-8624
Titre abrégé: Child Dev
Pays: United States
ID NLM: 0372725

Informations de publication

Date de publication:
11 2019
Historique:
pubmed: 28 4 2018
medline: 9 6 2020
entrez: 28 4 2018
Statut: ppublish

Résumé

This study evaluated the aspects of complex decisions influenced by peers, and components of peer involvement influential to adolescents' risky decisions. Participants (N = 140) aged 13-25 completed the Columbia Card Task (CCT), a risky choice task, isolating deliberation-reliant and affect-reliant decisions while alone, while a friend monitors choices, and while a friend is merely present. There is no condition in which a nonfriend peer is present. Results demonstrated the risk-increasing peer effect occurred in the youngest participants in the cold CCT and middle-late adolescents in the hot CCT, whereas other ages and contexts showed a risk-decreasing peer effect. Mere presence was not sufficient to influence risky behavior. These boundaries in age, decision, and peer involvement constrain prevailing models of adolescent peer influence.

Identifiants

pubmed: 29701282
doi: 10.1111/cdev.13081
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2086-2103

Informations de copyright

© 2018 Society for Research in Child Development.

Références

Aron, A., Aron, E. N., & Smollan, D. (1992). Inclusion of other in the self scale and the structure of interpersonal closeness. Journal of Personality and Social Psychology, 63, 596-612. https://doi.org/10.1037/0022-3514.63.4.596
Bateson, M., Nettle, D., & Roberts, G. (2006). Cues of being watched enhance cooperation in a real-world setting. Biology Letters, 2, 412-414. https://doi.org/10.1098/rsbl.2006.0509
Benthin, A., Slovic, P., & Severson, H. (1993). A psychometric study of adolescent risk perception. Journal of Adolescence, 16, 153-168. https://doi.org/10.1006/jado.1993.1014
Blais, A.-R., & Weber, E. U. (2006). A domain-specific risk-taking (DOSPERT) scale for adult populations. Judgment and Decision Making, 1, 33-47. https://doi.org/10.1002/bdm.414
Blakemore, S.-J., & Robbins, T. W. (2012). Decision-making in the adolescent brain. Nature Neuroscience, 15, 1184-1191. https://doi.org/10.1038/nn.3177
Bot, S. M., Engels, R. C. M. E., Knibbe, R. A., & Meeus, W. H. J. (2005). Friend's drinking behaviour and adolescent alcohol consumption: The moderating role of friendship characteristics. Addictive Behaviors, 30, 929-947. https://doi.org/10.1016/j.addbeh.2004.09.012
Bürkner, P. C. (2016). brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software, 80, 1-28. https://doi.org/10.18637/jss.v080.i01
Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., Brubaker, M., Guo, J., Li, P., & Riddell, A. Stan : A Probabilistic Programming Language. United States. https://doi.org/10.18637/jss.v076.i01
Chein, J., Albert, D., O'Brien, L., Uckert, K., & Steinberg, L. (2011). Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry. Developmental Science, 14, F1-F10. https://doi.org/10.1111/j.1467-7687.2010.01035.x
Cohen, G. L., & Prinstein, M. J. (2006). Peer contagion of aggression and health risk behavior among adolescent males: An experimental investigation of effects on public conduct and private attitudes. Child Development, 77, 967-983. https://doi.org/10.1111/j.1467-8624.2006.00913.x
Cottrell, N. B., Wack, D. L., Sekerak, G. J., & Rittle, R. H. (1968). Social facilitation of dominant responses by the presence of an audience and the mere presence of others. Journal of Personality and Social Psychology, 9, 245-250. https://doi.org/10.1037/h0025902
de Boer, A., Peeters, M., & Koning, I. (2016). An experimental study of risk taking behavior among adolescents: A closer look at peer and sex influences. The Journal of Early Adolescence, 37, 1125-1141. https://doi.org/10.1177/0272431616648453
Defoe, I. N., Dubas, J. S., Figner, B., & van Aken, M. A. (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
Dibble, J. L., Levine, T. R., & Park, H. S. (2012). The Unidimensional Relationship Closeness Scale (URCS): Reliability and validity evidence for a new measure of relationship closeness. Psychological Assessment, 24, 565-572. https://doi.org/10.1037/a0026265
Dishion, T. J., Capaldi, D., Spracklen, K. M., & Li, F. (1995). Peer ecology of male adolescent drug use. Development and Psychopathology, 7, 803-824. https://doi.org/10.1017/S0954579400006854
Doherty, S. T., Andrey, J. C., & MacGregor, C. (1998). The situational risks of young drivers: The influence of passengers, time of day and day of week on accident rates. Accident Analysis & Prevention, 30, 45-52. https://doi.org/10.1016/S0001-4575(97)00060-2
Duell, N., Steinberg, L., Icenogle, G., Chein, J., Chaudhary, N., Di Giunta, L., … Oburu, P. (2017). Age patterns in risk taking across the world. Journal of Youth and Adolescence, 1-21. https://doi.org/10.1007/s10964-017-0752-y
Dumontheil, I., Wolf, L. K., & Blakemore, S.-J. (2016). Audience effects on the neural correlates of relational reasoning in adolescence. Neuropsychologia, 87, 85-95. https://doi.org/10.1016/j.neuropsychologia.2016.05.001
Eaton, L. K., Kann, L., Kinchen, S., Shanklin, S., Ross, J., Hawkins, J., … Wechsler, H. (2008). Youth risk behavior surveillance-United States, 2007, surveillance summaries. Morbidity and Mortality Weekly Report, 57, 1-131.
Erickson, M. L., & Jensen, G. F. (1977). “Delinquency is still group behavior!”: Toward revitalizing the group premise in the sociology of deviance. The Journal of Criminal Law and Criminology, 68, 262-273. https://doi.org/10.2307/1142849
Fareri, D. S., Niznikiewicz, M. A., Lee, V. K., & Delgado, M. R. (2012). Social network modulation of reward-related signals. Journal of Neuroscience, 32, 9045-9052. https://doi.org/10.1523/JNEUROSCI.0610-12.2012
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191. https://doi.org/10.3758/BF03193146
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
Figner, B., van Duijvenvoorde, A. C., Blankenstein, N., & Weber, E. U. (2015). Risk-taking, perceived risks, and perceived benefits across adolescence: A domain-specific risk-return approach. Paper presented at the Flux: The Society for Developmental Cognitive Neuroscience, Leiden, The Netherlands.
Figner, B., & Weber, E. U. (2011). Who takes risks when and why? Determinants of risk taking. Current Directions in Psychological Science, 20, 211-216. https://doi.org/10.1177/0963721411415790
Frey, R., Pedroni, A., Mata, R., Rieskamp, J., & Hertwig, R. (2017). Risk preference shares the psychometric structure of major psychological traits. Science Advances, 3, e1701381. https://doi.org/10.1126/sciadv.1701381
Gardner, M., & Steinberg, L. (2005). Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: An experimental study. Developmental Psychology, 41, 625-635. https://doi.org/10.1037/a0026993
Gerrard, M., Gibbons, F. X., Benthin, A. C., & Hessling, R. M. (1996). A longitudinal study of the reciprocal nature of risk behaviors and cognitions in adolescents: What you do shapes what you think, and vice versa. Health Psychology, 15, 344-354. https://doi.org/10.1037/0278-6133.15.5.344
Haddad, A. D., Harrison, F., Norman, T., & Lau, J. Y. (2014). Adolescent and adult risk-taking in virtual social contexts. Frontiers in Psychology, 5, 1476. https://doi.org/10.3389/fpsyg.2014.01476
Hartley, C. A., & Somerville, L. H. (2015). The neuroscience of adolescent decision-making. Current Opinion in Behavioral Sciences, 5, 108-115. https://doi.org/10.1016/j.cobeha.2015.09.004
Heilbron, N., & Prinstein, M. J. (2008). Peer influence and adolescent nonsuicidal self-injury: A theoretical review of mechanisms and moderators. Applied and Preventive Psychology, 12, 169-177. https://doi.org/10.1016/j.appsy.2008.05.004
Kandel, D. (1978). Similarity in real-life adolescent friendship pairs. Journal of Personality and Social Psychology, 36, 306-312. https://doi.org/10.1037/0022-3514.36.3.306
Kessler, L. R., Hewig, J., Weichold, K., Silbereisen, R. K., & Miltner, W. H. R. (2016). Feedback negativity and decision-making behavior in the Balloon Analogue Risk Task (BART) in adolescents is modulated by peer presence. Psychophysiology, 54, 260-269. https://doi.org/10.1111/psyp.12783
Knoll, L. J., Leung, J. T., Foulkes, L., & Blakemore, S.-J. (2017). Age-related differences in social infleunce on risk perception depend on the direction of influence. Journal of Adolescence, 60, 53-63. https://doi.org/10.1016/j.adolescence.2017.07.002
Kretsch, N., & Harden, K. P. (2014). Pubertal development and peer influence on risky decision making. The Journal of Early Adolescence, 34, 339-359. https://doi.org/10.1177/0272431613489373
Logue, S., Chein, J., Gould, T., Holliday, E., & Steinberg, L. (2014). Adolescent mice, unlike adults, consume more alcohol in the presence of peers than alone. Developmental Science, 17, 79-85. https://doi.org/10.1111/desc.12101
MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7, 19-40. https://doi.org/10.1037/1082-989X.7.1.19
Markus, H. (1978). The effect of mere presence on social facilitation: An unobtrusive test. Journal of Experimental Social Psychology, 14, 389-397. https://doi.org/10.1016/0022-1031(78)90034-3
Mayeux, L., Sandstrom, M. J., & Cillessen, A. H. (2008). Is being popular a risky proposition? Journal of Research on Adolescence, 18, 49-74. https://doi.org/10.1111/j.1532-7795.2008.00550.x
Pedroni, A., Frey, R., Bruhin, A., Dutilh, G., Hertwig, R., & Rieskamp, J. (2017). The risk elicitation puzzle. Nature Human Behaviour, 1, 803. https://doi.org/10.1038/s41562-017-0219-x
Powers, K. E., Yaffe, G., Hartley, C. A., Davidow, J. Y., Kober, H., & Somerville, L. H. (2018). Consequences for peers differentially bias computations about risk across development. Journal of Experimental Psychology: General. Retrieved from http://dx.doi.org/10.1037/xge0000389
Prentice, D. A., & Miller, D. T. (1993). Pluralistic ignorance and alcohol use on campus: Some consequences of misperceiving the social norm. Journal of Personality and Social Psychology, 64, 243-256. https://doi.org/10.1037/0022-3514.64.2.243
Prinstein, M. J., & La Greca, A. M. (2004). Childhood peer rejection and aggression as predictors of adolescent girls’ externalizing and health risk behaviors: A 6-year longitudinal study. Journal of Consulting and Clinical Psychology, 72, 103. https://doi.org/10.1037/0022-006X.72.1.103
Prinstein, M. J., Meade, C. S., & Cohen, G. L. (2003). Adolescent oral sex, peer popularity, and perceptions of best friends’ sexual behavior. Journal of Pediatric Psychology, 28, 243-249. https://doi.org/10.1093/jpepsy/jsg012
R Core Team. (2015). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
Reynolds, E. K., MacPherson, L., Schwartz, S., Fox, N. A., & Lejuez, C. W. (2014). Analogue study of peer influence on risk-taking behavior in older adolescents. Prevention Science, 15, 842-849. https://doi.org/10.1007/s11121-013-0439-x
Rosen, D., Patel, N., Pavletic, N., Grillon, C., Pine, D. S., & Ernst, M. (2016). Age and social context modulate the effect of anxiety on risk-taking in pediatric samples. Journal of Abnormal Psychology, 44, 1161-1171. https://doi.org/10.1007/s10802-015-0098-4
Silva, K., Shulman, E. P., Chein, J., & Steinberg, L. (2015). Peers increase late adolescents’ exploratory behavior and sensitivity to positive and negative feedback. Journal of Research on Adolescence, 26, 696-705. https://doi.org/10.1111/jora.12219
Simons-Morton, B. G., Ouimet, M. C., Zhang, Z., Klauer, S. E., Lee, S. E., Wang, J., … Dingus, T. A. (2011). The effect of passengers and risk-taking friends on risky driving and crashes/near crashes among novice teenagers. Journal of Adolescent Health, 49, 587-593. https://doi.org/10.1016/j.jadohealth.2011.02.009
Smith, A. R., Chein, J., & Steinberg, L. (2014). Peers increase adolescent risk taking even when the probabilities of negative outcomes are known. Developmental Psychology, 50, 1564-1568. https://doi.org/10.1037/a0035696
Smith, A. R., Steinberg, L., Strang, N., & Chein, J. (2015). Age differences in the impact of peers on adolescents’ and adults’ neural response to reward. Developmental Cognitive Neuroscience, 11, 75-82. https://doi.org/10.1016/j.dcn.2014.08.010
Somerville, L. H. (2013). The teenage brain: Sensitivity to social evaluation. Current Directions in Psychological Science, 22, 129-135. https://doi.org/10.1177/0963721413476512
Somerville, L. H. (2016). Searching for signatures of brain maturity: What are we searching for? Neuron, 92, 1164-1167. https://doi.org/10.1016/j.neuron.2016.10.059
Somerville, L. H., Jones, R. M., Ruberry, E. J., Dyke, J. P., Glover, G., & Casey, B. (2013). The medial prefrontal cortex and the emergence of self-conscious emotion in adolescence. Psychological Science, 24, 1554-1562. https://doi.org/10.1177/0956797613475633
Steinberg, L. (2004). Risk taking in adolescence: What changes, and why? Annals of the New York Academy of Sciences, 1021, 51-58. https://doi.org/10.1196/annals.1308.005
Tennie, C., Frith, U., & Frith, C. D. (2010). Reputation management in the age of the world-wide web. Trends in Cognitive Sciences, 14, 482-488. https://doi.org/10.1016/j.tics.2010.07.003
Triplett, N. (1898). The dynamogenic factors in pacemaking and competition. The American Journal of Psychology, 9, 507-533. https://doi.org/10.2307/1412188
Urberg, K. A., Değirmencioğlu, S. M., & Pilgrim, C. (1997). Close friend and group influence on adolescent cigarette smoking and alcohol use. Developmental Psychology, 33, 834-844. https://doi.org/10.1037/0012-1649.33.5.834
van Duijvenvoorde, A. C. K., Huizenga, H. M., Somerville, L. H., Delgado, M. R., Powers, A., Weeda, W. D., … Figner, B. (2015). Neural correlates of expected risks and returns in risky choice across development. The Journal of Neuroscience, 35, 1549-1560. https://doi.org/10.1523/JNEUROSCI.1924-14.2015
Vinokur, A. (1971). Review and theoretical analysis of the effects of group processes upon individual and group decisions involving risk. Psychological Bulletin, 76, 231. https://doi.org/10.1037/h0031568
Weber, E. U., Blais, A.-R., & Betz, N. (2002). A domain-specific risk-attitude scale: Measuring risk perceptions and risk behaviors. Journal of Behavioral Decision Making, 15, 263-290. https://doi.org/10.1002/bdm.414
Wolf, L. K., Bazargani, N., Kilford, E. J., Dumontheil, I., & Blakemore, S.-J. (2015). The audience effect in adolescence depends on who's looking over your shoulder. Journal of Adolescence, 43, 5-14. https://doi.org/10.1016/j.adolescence.2015.05.003
Zimring, F. E. (2000). American youth violence. New York, NY: Oxford University Press.

Auteurs

Leah H Somerville (LH)

Harvard University.

Nadia Haddara (N)

Harvard University.

Stephanie F Sasse (SF)

Harvard University.

Alea C Skwara (AC)

Harvard University.

Joseph M Moran (JM)

US Army Natick Soldier Research, Development, and Engineering Center.

Bernd Figner (B)

Radboud University.

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