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19-10-2017 | Empirical Research

Age Patterns in Risk Taking Across the World

Auteurs: Natasha Duell, Laurence Steinberg, Grace Icenogle, Jason Chein, Nandita Chaudhary, Laura Di Giunta, Kenneth A. Dodge, Kostas A. Fanti, Jennifer E. Lansford, Paul Oburu, Concetta Pastorelli, Ann T. Skinner, Emma Sorbring, Sombat Tapanya, Liliana Maria Uribe Tirado, Liane Peña Alampay, Suha M. Al-Hassan, Hanan M. S. Takash, Dario Bacchini, Lei Chang

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 5/2018

Abstract

Epidemiological data indicate that risk behaviors are among the leading causes of adolescent morbidity and mortality worldwide. Consistent with this, laboratory-based studies of age differences in risk behavior allude to a peak in adolescence, suggesting that adolescents demonstrate a heightened propensity, or inherent inclination, to take risks. Unlike epidemiological reports, studies of risk taking propensity have been limited to Western samples, leaving questions about the extent to which heightened risk taking propensity is an inherent or culturally constructed aspect of adolescence. In the present study, age patterns in risk-taking propensity (using two laboratory tasks: the Stoplight and the BART) and real-world risk taking (using self-reports of health and antisocial risk taking) were examined in a sample of 5227 individuals (50.7% female) ages 10–30 (M = 17.05 years, SD = 5.91) from 11 Western and non-Western countries (China, Colombia, Cyprus, India, Italy, Jordan, Kenya, the Philippines, Sweden, Thailand, and the US). Two hypotheses were tested: (1) risk taking follows an inverted-U pattern across age groups, peaking earlier on measures of risk taking propensity than on measures of real-world risk taking, and (2) age patterns in risk taking propensity are more consistent across countries than age patterns in real-world risk taking. Overall, risk taking followed the hypothesized inverted-U pattern across age groups, with health risk taking evincing the latest peak. Age patterns in risk taking propensity were more consistent across countries than age patterns in real-world risk taking. Results suggest that although the association between age and risk taking is sensitive to measurement and culture, around the world, risk taking is generally highest among late adolescents.

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In Sweden, informed consent was obtained from all participants age 15 and older, and parental consent and adolescent assent were acquired for individuals younger than 15, per Swedish law.

This item was omitted for participants under age 13 and all participants from Kenya, Jordan, and India, as requested by the lead researchers at these sites

Benthin, A., Slovic, P. & Severson, H. (1993). A Psychometric study of adolescent risk perception. Journal of Adolescence, 16(2), 153–168.CrossRefPubMed

Anderson Johnson, C., Palmer, P. H., Chou, C. P., Pang, Z., Zhou, D., Dong, L., Xiang, H., Yang, P., & Xu, H., et al. (2006). Tobacco use among youth and adults in Mainland China: The china seven cities study. Public Health, 120, 1156–1169. https://doi.org/10.1016/j.puhe.2006.07.023.CrossRefPubMed

Anteghini, M., Fonseca, H., Ireland, M., & Blum, R. (2001). Health risk behaviors and associated risk protective factors among Brazilian adolescents in Santos, Brazil. Journal of Adolescent Health, 28, 295–302. https://doi.org/10.1016/S1054-139X(00)00197-X.CrossRefPubMed

Casey, B. J., Jones, R., & Somerville, L. (2011). Braking and accelerating of the adolescent brain. Journal of Research on Adolescence, 21, 21–33. https://doi.org/10.1111/j.1532-7795.2010.00712.x.CrossRefPubMedCentralPubMed

Choudhury, S. (2010). Culturing the adolescent brain: What can neuroscience learn from anthropology? Social Cognitive and Affective Neuroscience, 5, 159–167. https://doi.org/10.1093/scan/nsp030.CrossRefPubMed

Dahne, J., Richards, J. M., Ernst, M., Macpherson, L., & Lejuez, C. W. (2013). Assessment of risk taking in addiction research. In J. MacKillop & H. de Wit (Eds.), The Wiley-Blackwell Handbook of Addiction Psychopharmacology (pp. 209–231). Hoboken, NJ: Wiley-Blackwell. https://doi.org/10.1002/9781118384404.ch8

Defoe, I. N., Semon Dubas, J., 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.CrossRefPubMed

Donato, F., Monarca, S., Chiesa, R., Feretti, D., Modolo, M. A., & Nardi, G. (1995). Patterns and covariates of alcohol drinking among high school students in 10 towns in Italy: A cross-sectional study. Drug and Alcohol Dependence, 37, 59–69. https://doi.org/10.1016/0376-8716(94)01053-N.CrossRefPubMed

Duell, N., Steinberg, L., Chein, J., Al-Hassan, S. M., Bacchini, D., Lei, C., Chaudhary, N., Di Giunta, L., & Dodge, K. A., et al. (2016). Interaction of reward seeking and self-regulation in the prediction of risk taking: A cross-national test of the dual systems model. Developmental Psychology, 52, 1593–1605. https://doi.org/10.1037/dev0000152.CrossRefPubMed

Efron, B., & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. New York: Chapman & Hall.CrossRef

Eisner, M. (2002). Crime, problem drinking, and drug use: Patterns of problem behavior in cross-national perspective. The Annals of the American Academy of Political and Social Science, 580, 201–225.CrossRef

Ellis, L., & Walsh, A. (2003). Crime, delinquency, and intelligence: A review of the worldwide literature. In H. Nyborg (Ed.), The Scientific Study of General Intelligence: Tribute to Arthur J. Jensen (pp. 343–365). Kidlington, Oxford: Elsevier Science Ltd. https://doi.org/10.1016/B978-008043793-4/50054-4.CrossRef

Erkut, S. (2010). Developing Multiple Language Versions of Instruments for Intercultural Research. Child Development Perspectives 4(1), 19–24.CrossRefPubMedCentralPubMed

Fuller, E., Clifton, S., Field, N., Mercer. C. H., Prah, P., Macdowall, W., Mitchell, K., Sonnenberg, P., Johnson, A. M., & Wellings, K. (2015). Natsal-3: Key findings from Scotland. http://natcen.ac.uk/media/997277/NatSal-Scotland.pdf.

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/10.1037/0012-1649.41.4.625.CrossRefPubMed

Hawley, P. H. (2011). The evolution of adolescence and the adolescence of evolution: The coming of age of humans and the theory about the forces that made them. Journal of Research on Adolescence, 21, 307–306. https://doi.org/10.1111/j.1532-7795.2010.00732.x.CrossRef

Hendriksen, E. S., Pettifor, A., Lee, S., Coates, T. J., & Rees, H. V. (2007). Predictors of condom use among young adults in South Africa: The reproductive health and HIV research unit national youth survey. American Journal of Public Health, 97, 1–8. https://doi.org/10.2105/AJPH.2006.086009.CrossRef

Hirschi, T., & Gottfredson, M. R. (1983). Age and the explanation of crime. American Journal of Sociology, 89, 552–584.CrossRef

Hindelang, M. J., Hirschi, T. & Weis, J. G. (1981). Measuring delinquency. Beverly Hills, CA: Sage Publications.

Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online Readings in Psychology & Culture, 2, 1–26. https://doi.org/10.9707/2307-0919.1014.

Jessor, R., Turbin, M. S., Costa, F. M., Dong, Q., Zhang, H., & Wang, C. (2003). Adolescent problem behavior in China and the United States: A cross-national study of psychosocial protective factors. Journal of Research on Adolescence, 13, 329–260.CrossRef

Kim-Spoon, J., Kahn, R., Deater-Deckard, K., Chiu, P., Steinberg, L., & King-Casas, B. (2016). Risky decision making in a laboratory driving task is associated with health risk behaviors during late adolescence but not adulthood. International Journal of Behavioral Development, 40, 58–63. https://doi.org/10.1177/0165025415577825.CrossRefPubMed

Kipping, R. R., Smith, M., Heron, J., Hickman, M., & Campbell, R. (2015). Multiple risk behavior in adolescence and socio-economic status: findings from a UK birth cohort. European Journal of Public Health, 25, 44–49. https://doi.org/10.1093/eurpub/cku078.CrossRefPubMed

Kline, R. B. (2011). Hypothesis testing. Principles and Practice of Structural Equation Modeling (3rd ed., pp. 189–229). New York, NY: Guilford.

Lansford, J. E., & Bornstein, M. H. (2011). Parenting attributions and attitudes in diverse cultural contexts: Introduction to the special issue. Parenting: Science and Practice, 11, 87–101. https://doi.org/10.1080/15295192.2011.585552.CrossRef

Lejuez, C. W., Aklin, W. M., Zvolensky, M. J., & Pedulla, C. M. (2003). Evaluation of the Balloon Analogue Risk Task (BART) as a predictor of adolescent real-world risk-taking behaviours. Journal of Adolescence, 26, 475–479. https://doi.org/10.1016/S0140-1971(03)00036-8.CrossRefPubMed

Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., & Stuart, G. L., et al. (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.PubMed

Lotrean, L. M., Laza, V., Ionut, C., & de Vries, H. (2010). Assessment of health risk behaviours and their interrelationships among young people from two counties of Romania. Journal of Public Health, 18, 403–411. https://doi.org/10.1007/s10389-010-0317-y.CrossRefPubMedCentralPubMed

Maticka-Tyndale, E., & Tenkorang, E. Y. (2010). A multi-level model of condom use among male and female upper primary school students in Nyanza, Kenya. Social Science & Medicine, 71, 616–625. https://doi.org/10.1016/j.socscimed.2010.03.049.CrossRef

Mauseth, K. B., Skalisky, J., Clark, N. E., & Kaffer, R. (2016). Substance use in Muslim culture: Social and generational changes in acceptance and practice in Jordan. Journal of Religion and Health, 55, 1312–1325. https://doi.org/10.1007/s10943-015-0064-z.CrossRefPubMed

Maxwell, J. A. (1996). Qualitative research design: An interactive approach. New York, NY: Sage.

Mitchell, S. H., Schoel, C., & Stevens, A. A. (2008). Mechanisms underlying heightened risk taking in adolescents as compared with adults. Psychonomic Bulletin & Review, 15, 272–277. https://doi.org/10.3758/PBR.15.2.272.CrossRef

Osgood, D. W., & Anderson, A. (2004). Unstructured socializing and rates of delinquency. Criminology, 42, 519–549. https://doi.org/10.1111/j.1745-9125.2004.tb00528.x.CrossRef

Piquero, A. R., Farrington, D. P., & Blumstein, A. (2003). The criminal career paradigm. In M. Tonry (Ed.), Crime and justice: A review of research (Vol 30, pp. 359–506). Chicago: University of Chicago Press.

Plant, M. A., Plant, M. L., Miller, P., Gmel, G., & Kuntsche, S. (2009). The social consequences of binge drinking: A comparison of young adults in six European countries. Journal of Addictive Diseases, 28, 294–308. https://doi.org/10.1080/10550880903182978.CrossRefPubMed

Psychological Corporation. (1999). Wechsler abbreviated scale of intelligence. San Antonio, TX: Pearson.

Rahbari, L. (2016). Sexuality in Iran. In C. L. Shehan (Ed.), The Wiley Blackwell Encyclopedia of Family Studies (Vol. 4, pp. 1768–1771), Chichester, West Sussex: John Wiley & Sons.

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.CrossRefPubMed

Smith, A. R., Chein, J., & Steinberg, L. (2013). Impact of socio-emotional context, brain development, and pubertal maturation on adolescent risk-taking. Hormones and Behavior, 64, 323–332. https://doi.org/10.1016/j.yhbeh.2013.03.006.CrossRefPubMedCentralPubMed

Spear, L. P. (2013). Adolescent neurodevelopment. Journal of Adolescent Health, 52(Suppl. 2), S7–S13. https://doi.org/10.1016/j.jadohealth.2012.05.006.CrossRefPubMedCentralPubMed

Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28, 78–106. https://doi.org/10.1016/j.dr.2007.08.002.CrossRefPubMedCentralPubMed

Steinberg, L. (2014). Age of Opportunity: Lessons From the New Science of Adolescence. New York: Houghton Mifflin Harcourt.

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.CrossRefPubMed

Steinberg, L., Icenogle, G., Shulman, E., Breiner, K., Chein, J., & Bacchini, D., et al. (2017). Around the world, adolescence is a time of heightened sensation seeking and immature self-regulation. Developmental Science. https://doi.org/10.1111/desc.12532. Advance online publication.PubMed

Stevenson, H. W., & Zusho, A. (2002). Adolescence in China and Japan: Adapting to a changing environment. In B. B. Brown, R. W. Larson, & T. S. Saraswathi, The World’s Youth: Adolescence in Eight Regions of the Globe, (pp. 141–170). New York, NY: Cambridge University Press.

Takakura, M., Nagayama, T., Sakihara, S., & Willcox, C. (2001). Patterns of health-risk behavior among Japanese high school students. Journal of School Health, 71, 23–29. https://doi.org/10.1111/j.1746-1561.2001.tb06484.x.CrossRefPubMed

United Nations Development Programme. (2014). Human development report. http://hdr.undp.org/en/data.

World Health Organization. (2014). Adolescents’ health-related behaviors. http://apps.who.int/adolescent/second-decade/section4. Accessed 1 October 2016.

Willoughby, T., Good, M., Adachi, P. J. C., Hamza, C., & Tavernier, R. (2013). Examining the link between adolescent brain development and risk taking from a social-developmental perspective. Brain and Cognition, 83, 315–323. https://doi.org/10.1016/j.bandc.2013.09.008.CrossRefPubMed

Xing, Y., Ji, C., & Zhang, L. (2006). Relationship of binge drinking and other health-compromising behaviors among urban adolescents in China. Journal of Adolescent Health, 39, 495–500. https://doi.org/10.1016/j.jadohealth.2006.03.014.CrossRefPubMed

Titel: Age Patterns in Risk Taking Across the World
Auteurs: Natasha Duell
Laurence Steinberg
Grace Icenogle
Jason Chein
Nandita Chaudhary
Laura Di Giunta
Kenneth A. Dodge
Kostas A. Fanti
Jennifer E. Lansford
Paul Oburu
Concetta Pastorelli
Ann T. Skinner
Emma Sorbring
Sombat Tapanya
Liliana Maria Uribe Tirado
Liane Peña Alampay
Suha M. Al-Hassan
Hanan M. S. Takash
Dario Bacchini
Lei Chang
Publicatiedatum: 19-10-2017
Uitgeverij: Springer US
Gepubliceerd in: Journal of Youth and Adolescence / Uitgave 5/2018
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI: https://doi.org/10.1007/s10964-017-0752-y

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