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A Cross-National Comparison of the Development of Adolescent Problem Behavior: a 1-Year Longitudinal Study in India, the Netherlands, the USA, and Australia

  • Bosco RowlandEmail author
  • H. Jonkman
  • M. Steketee
  • Renati J. Solomon
  • Shreeletha Solomon
  • J. W. Toumbourou
Article
  • 34 Downloads

Abstract

The world youth population is the largest ever and the levels of problem behavior will influence future global health. Recognition of these issues raises questions as to whether adolescent development knowledge can be internationally applied. To date, most research examining adolescent problem behavior has been completed in the United States (USA) and there has been neglected analysis of health inequalities. The aim of the present study was to compare the structure and predictors of problem behavior in representative samples from the USA, Australia, India, and the Netherlands. Two timepoints of longitudinal data were analyzed from the International Youth Development Study that originally recruited state-representative student cohorts in 2002 in Washington State, USA (analytic sample N = 1942) and Victoria, Australia (N = 1957). Similar aged samples were recruited in Mumbai, India, in 2010 (N = 3.923) and the Netherlands in 2008 (N = 682). Surveys were matched and follow-up occurred over 1-year (average baseline ages 12 to 13). CFA identified a latent problem behavior construct comprised of substance use and antisocial behavior indicators. There were cross-national differences in the indicators for this construct. Factor loadings and items were similar between Australia and the USA; however, different items loaded on the construct for the Indian and Netherlands sample. SEM identified that problem behavior at time 2 was predicted by time 1 behavior, with cross-national differences evident. Low parent education was predictive in the USA and India. The number of risk factors present was predictive of problem behavior in all four nations. The findings suggest that evaluated preventative strategies to reduce adolescent problem behavior may have international applications. The analysis of cross-nationally matched longitudinal data appears feasible for identifying prevalence and predictor differences that may signify policy and cultural contexts, to be considered in adapting prevention programs.

Keywords

Adolescent Problem behavior Cross-national Longitudinal 

Notes

Funding

Original IYDS data collection in Washington State and Victoria was funded by the National Institute on Drug Abuse (R01-DA012140-05). Mumbai data collection was funded by a Major Research Project grant (F No 5-236/2008(HRP) from the University Grants Commission, India. The Dutch study was funded by the Netherlands Organization for Health Research and Development (ZonMW: 120610017). Data management, analysis, and reporting were supported through funding from the Centre for Social and Early Emotional Development (SEED) at Deakin University, Australia. The funding agencies had no role in the study design, data collection, analysis or interpretation, writing of the report, or decision to submit the paper for publication. The corresponding author had full access to all data in the study and had final responsibility for the decision to submit for publication. The authors declare their independence from the funders and from any tobacco, alcohol, pharmaceutical, or gaming industries or anybody substantially funded by one of these organizations.

Compliance with Ethical Standards

Conflict of Interest

The present study uses the Communities That Care survey that Professor Catalano co-designed. Professors Toumbourou and Dr. Rowland have served as volunteer Directors or Officers with Communities That Care Ltd., the not-for-profit company that owns the Communities That Care survey in Australia.

Ethical Approval

For the IYDS US sample, ethics approval was obtained from the University of Washington (Washington State) and for the Australian sample from the University of Melbourne and the Royal Children’s Hospital in Victoria. Appropriate school districts and administrators gave permission for school data collection in each location. Written parental consent was obtained, and students provided assent to participate in the study on the day of the survey.

Ethics procedures for Mumbai mirrored the IYDS in the USA and Australia. The Research Ethics Committee at the Rayat Shikshan Sanstha’s Karmaveer Bhaurao Patil College, Vashi, Mumbai, reviewed and approved the Mumbai IYDS study design in early 2010.

Informed Consent

Approval was obtained from school authorities and from principals. After obtaining the school approval, parental permission was sought to survey children in the target classrooms. After receiving school and parental consent, students were asked to provide their assent before filling out the questionnaire. Approval for the Dutch study was provided by the Verwey-Jonker Institute and regional municipal authorities. Parents and young people provided informed consent as a requirement for young people to participate.

Supplementary material

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References

  1. Arthur, M., Briney, J. S., Hawkins, J. D., Abbott, R. D., Brooke-Weiss, B. L., & Catalano, R. F. (2007). Measuring risk and protection in communities using the Communities That Care Youth Survey. Evaluation and Program Planning, 30, 197–211.CrossRefGoogle Scholar
  2. Britton, A., Ben-Shlomo, Y., Benzeval, M., Kuh, D., & Bell, S. (2015). Life course trajectories of alcohol consumption in the United Kingdom using longitudinal data from nine cohort studies. BMC Medicine.  https://doi.org/10.1186/s12916-015-0273-z.
  3. Catalano, R. F., Fagan, A. A., Gavin, L. E., Greenberg, M., Irwin, C. E., Jr., Ross, D. A., & Shek, D. T. L. (2012). Worldwide application of prevention science in adolescent health. The Lancet, 379, 1653–1664.  https://doi.org/10.1016/S0140-6736(12)60238-4.CrossRefGoogle Scholar
  4. Caulkins, J. P., & Reuter, P. (1997). Setting goals for drug policy: harm reduction or use reduction? Addiction, 92, 1143–1150.CrossRefGoogle Scholar
  5. Chen, K., & Kandel, D. B. (1995). The natural history of drug use from adolescence to the mid-thirties in a general population sample. American Journal of Public Health, 85, 41–47.CrossRefGoogle Scholar
  6. Donovan, J. (2005). Problem behavior theory. In C. B. Fisher & R. M. Lerner (Eds.), Encyclopedia of applied developmental science (Vol. 2, pp. 872–877). Thousand Oaks: Sage.Google Scholar
  7. Donovan, J., & Jessor, R. (1985). Structure of problem behavior in adolescence and young adulthood. Journal of Consulting & Clinical Psychology, 53, 890–904.  https://doi.org/10.1037/0022-006X.53.6.890.CrossRefGoogle Scholar
  8. Farrell, A. D., Kung, E. M., White, K. S., & Valois, R. (2000). The structure of self-reported aggression, drug use, and delinquent behaviors during early adolescence. Journal of Clinical Child Psychology, 29, 282–292.  https://doi.org/10.1207/S15374424jccp2902_13.CrossRefGoogle Scholar
  9. Hasin, D. S., Stinson, F. S., Ogburn, E., & Grant, B. F. (2007). Prevalence, correlates, disability, and comorbidity of DSM-IV alcohol abuse and dependence in the United States: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Archives of General Psychiatry, 7, 830.CrossRefGoogle Scholar
  10. Hemphill, S. A., Heerde, J. A., Herrenkohl, T. I., Patton, G. C., Toumbourou, J. W., & Catalano, R. F. (2011). Risk and protective factors for adolescent substance use in Washington State, the United States and Victoria, Australia: A longitudinal study. Journal of Adolescent Health., 49, 312–320.CrossRefGoogle Scholar
  11. Hemphill, S. A., Tollitt, M., Romaniuk, H., Williams, J., Toumbourou, J. W., Bond, L., & Patton, G. (2013). Carrying weapons and intent to harm among Victorian secondary school students in 1999 and 2009. Medical Journal of Australia, 199, 1–3.CrossRefGoogle Scholar
  12. Institute of Medicine. (2009). Report on preventing mental, emotional and behavioural disorders among young people: Progress and possibilities. Retrieved from Washington: Institute of Medicine.Google Scholar
  13. Jaccard, J. (2016). The prevention of problem behaviors in adolescents and young adults: Perspectives on theory and practice. Journal of the Society for Social Work and Research, 7, 585–613.  https://doi.org/10.1086/689354.CrossRefGoogle Scholar
  14. Jessor, R. (1991). Risk behavior in adolescence: A psychosocial framework for understanding and action. Journal of Adolescent Health, 12, 597–605.CrossRefGoogle Scholar
  15. Jessor, R., & Jessor, S. (1977). Problem behavior and psychosocial development: A longitudinal study of youth. New York: Academic.Google Scholar
  16. Jessor, R., & Turbin, M. (2014). Parsing protection and risk for problem behavior versus pro-social behavior among US and Chinese adolescents. Journal of Youth and Adolescence, 43, 1037–1051.  https://doi.org/10.1007/s10964-014-0130-y.CrossRefGoogle Scholar
  17. Jessor, R., Donovan, J., & Costa, F. (1991). Beyond adolescence: Problem behavior and young adult development. New York: Cambridge University Press.Google Scholar
  18. Jessor, R., Turbin, M., Costa, F. M., Dong, Q., Zhang, H., & Wang, Z. (2003). Adolescent problem behavior in China and the United States: A cross-national study of psychosocial protective factors. Journal of Research on Adolescence, 13, 329–360.CrossRefGoogle Scholar
  19. Jonkman, H. (2012). Some years of Communities That Care. Learning from a social experiment. Retrieved from Amsterdam.Google Scholar
  20. Jonkman, H., Steketee, M., Tombourou, J. W., Cini, K., & Williams, J. (2014). Community variation in adolescent alcohol use in Australia and the Netherlands. Health Promotion International, 29, 109–117.  https://doi.org/10.1093/heapro/das039.CrossRefGoogle Scholar
  21. McCambridge, J., McAlaney, J., & Rowe, R. (2011). Adult consequences of late adolescent alcohol consumption: A systematic review of cohort studies. PLoS Medicine, 8, e1000413.CrossRefGoogle Scholar
  22. McMorris, B., Hemphill, S. A., Toumbourou, J., Catalano, R., & Patton, G. (2007). Prevalence of substance use and delinquent behavior in adolescents from Victoria, Australia and Washington State, United States. Health Education & Behavior, 34, 634–650.CrossRefGoogle Scholar
  23. Ministerial Council on Drug Strategy. (1998). National Drug Strategic Framework 1998-99 to 2002-03: Building partnerships. Retrieved from Commonwealth of Australia.Google Scholar
  24. Mobley, M., & Chun, H. (2013). Testing Jessor’s problem behavior theory and syndrome: A nationally representative comparative sample of Latino and African American adolescents. Cultural Diversity and Ethnic Minority Psychology, 19, 190–199.CrossRefGoogle Scholar
  25. Muthen, L., & Muthen, B. (2017). MPlus, Version 8: Statistical anlaysis with latent variables. Los Angeles: CA.Google Scholar
  26. Oesterle, S., Hawkins, J., Hill, K., & Bailey, J. (2010). Men’s and women’s pathways to adulthood and their adolescent precursors. Journal of Marriage and Family, 75, 1436.CrossRefGoogle Scholar
  27. Patton, G., Sawyer, S. M., Santelli, J. S., Ross, D. A., Afifi, R., Allen, N. B., … Viner, R. M. (2016). Our future: A Lancet commission on adolescent health and wellbeing. The Lancet, 387(10036), 2423–2478.  https://doi.org/10.1016/S0140-6736(16)00579-1.
  28. Shek, D. T. L., & Lin, L. (2014). Personal well-being and family quality of life of early adolescents in Hong Kong: Do economic disadvantage and time matter? Social Indicators Research, 117, 795–809.CrossRefGoogle Scholar
  29. Shek, D. T. L., & Lin, L. (2016). What predicts adolescent delinquent behavior in Hong Kong? A longitudinal study of personal and family factors. Social Indicators Research, 129, 1291–1318.  https://doi.org/10.1007/s11205-015-1170-8.CrossRefGoogle Scholar
  30. Solomon, S. (2007). Adolescent problem behavior in Navi Mumbai: An exploratory study of psychosocial risk and protection. The Indian Association of Child Adolescent Mental Health, 3, 88–95.Google Scholar
  31. Solomon, S., Minaie, M. G., Toumbourou, J. W., & Catalano, R. F. (2012). How are adolescents faring in the rapidly modernising city of Mumbai? A cross-national comparison of adolescents in Mumbai, India; Washington State in the USA and Victoria in Australia. Retrieved from  https://doi.org/10.13140/RG.2.1.3543.0804.
  32. Unicef. (2011). The state of the world’s children 2011. Adolescence: An age of opportunity. Retrieved from New York: Unicef.Google Scholar
  33. Vazsonyi, A., Chen, P., Young, M., Jenkins, D., Browder, S., Kahumoku, E., … Michaud, P.-A. (2008). A test of Jessor’s problem behavior theory in a Eurasian and a Western European developmental context. Journal of Adolescent Health, 43, 555–564.  https://doi.org/10.1016/j.jadohealth.2008.06.013.
  34. Vazsonyi, A., Chen, P., Jenkins, D. D., Burcu, E., Torrente, G., & Sheu, C.-J. (2010). Jessor’s problem behavior theory: Cross-national evidence from Hungary, the Netherlands, Slovenia, Spain, Switzerland, Taiwan, Turkey, and the United States. Developmental Psychology, 46, 1779–1791.  https://doi.org/10.1037/a0020682.CrossRefGoogle Scholar
  35. Willoughby, T., Chalmers, H., & Busseri, M. (2004). Where’s the syndrome? Examining co-occurrence among multiple “problem” behaviours in youth. Journal of Consulting and Clinical Psychology, 72, 1022–1037.  https://doi.org/10.1037/0022-006X.72.6.1022.CrossRefGoogle Scholar
  36. Worldbank. (2006). World development report 2007. Development and the next generation. Retrieved from Washington DC: The Worldbank.Google Scholar

Copyright information

© Society for Prevention Research 2019

Authors and Affiliations

  1. 1.School of Psychology and Centre for Social and Early Emotional DevelopmentDeakin UniversityGeelongAustralia
  2. 2.Verwey-Jonker InstituteUtrechtThe Netherlands
  3. 3.Veer Wajekar CollegeMumbaiIndia
  4. 4.Institute for Child and Adolescent Health ResearchMumbaiIndia

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