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Journal of Youth and Adolescence

, Volume 48, Issue 5, pp 935–948 | Cite as

Adolescents’ Social Norms across Family, Peer, and School Settings: Linking Social Norm Profiles to Adolescent Risky Health Behaviors

  • Yijie WangEmail author
  • Mingzhang Chen
  • Ji Hyun Lee
Empirical Research

Abstract

Social norms around adolescent risky health behaviors have been often studied in separate developmental settings (e.g., family norms, peer norms), and little is known regarding the overall patterns of social norms across contexts and how they influence adolescent risky health behaviors. This study explored profiles of social norms around risky health behaviors across family, peer, and school settings, using data from 11,086 adolescents (50% female; 49% White, 22% Black, 18% Latinx, 8% Asian American, 3% other race/ethnicities) in the National Longitudinal Study of Adolescent to Adult Health. Five profiles of social norms around risky health behaviors emerged. Only a small portion of the sample experienced either congruent-restrictive (6%) or congruent-permissive (10%) social norms across settings. The majority experienced incongruent social norms, including the developmentally normative-low risk (39%), developmentally normative-high risk (40%), and resilient (5%) profiles. Adolescents with the congruent-restrictive profile and developmentally normative-low risk profiles exhibited the least risky health behaviors over time, followed by those with the resilient profile, and adolescents with the developmentally normative-high risk and the congruent-permissive profile exhibited the greatest risky health behaviors over time. Each profile was associated with unique developmental, socio-demographic, and psychosocial characteristics. The findings highlighted the complexity of social norms across contexts and the developmental versus risky natures of these social norm profiles.

Keywords

Social norm profiles Family Peer School Risky health behaviors 

Notes

Acknowledgements

This study is supported by a grant awarded to Yijie Wang from the National Institute on Alcohol Abuse and Alcoholism (R03AA024288). We also thank Aprile D. Benner for providing helpful feedback on earlier versions of the manuscript.

Authors' Contributions

Y.W. conceived of the study, interpreted the results, and drafted the manuscript primarily. M.C. conducted data analyses, drafted method and results sections, and helped with results interpretation. J.H.L. helped conduct data analyses, draft part of the manuscript, and interpret the results. All authors read and approved the final manuscript.

Data Sharing Declaration

The data that support the findings of this study are available from the University of North Carolina at Chapel Hill’s Carolina Population Center but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. More information about obtaining the restricted-use data are available at http://www.cpc.unc.edu/projects/addhealth.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

This study is determined as exempt by the Review Board (IRB) at Michigan State University (IRB #x17-076e).

Informed Consent

Add Health participants provided written informed consent for participation in all aspects of Add Health in accordance with the University of North Carolina School of Public Health Institutional Review Board guidelines that are based on the Code of Federal Regulations on the Protection of Human Subjects 45CFR46.

References

  1. Ali, M. M., & Dwyer, D. S. (2010). Social network effects in alcohol consumption among adolescents. Addictive Behaviors, 337–342.  https://doi.org/10.1016/j.addbeh.2009.12.002
  2. Asparouhov, T., & Muthén, B. O. (2014). Auxiliary variables in mixture modeling: Three-step approaches using M plus. Structural Equation Modeling, 329–341.  https://doi.org/10.1080/10705511.2014.915181
  3. Blakemore, S.-J., & Mills, K. L. (2014). Is adolescence a sensitive period for sociocultural processing? Annual Review of Psychology, 187–207.  https://doi.org/10.1146/annurev-psych-010213-115202
  4. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge: Harvard University Press.Google Scholar
  5. Burk, W. J., Van der Vorst, H., Kerr, M., & Stattin, H. (2012). Alcohol use and friendship dynamics: Selection and socialization in early-, middle-, and late-adolescent peer networks. Journal of Studies on Alcohol and Drugs, 89–98.  https://doi.org/10.15288/jsad.2012.73.89
  6. Byers, E. S., Sears, H. A., & Weaver, A. D. (2008). Parents’ reports of sexual communication with children in kindergarten to grade 8. Journal of Marriage and Family, 86–96.  https://doi.org/10.1111/j.1741-3737.2007.00463.x
  7. Cail, J., & LaBrie, J. W. (2010). Disparity between the perceived alcoholrelated attitudes of parents and peers increases alcohol risk in college students. Addictive Behaviors, 135–139.  https://doi.org/10.1016/j.addbeh.2009.09.019
  8. Campbell, J. M., & Oei, T. P. (2010). The intergenerational transference of alcohol use behaviour from parents to offspring: A test of the cognitive model. Additive Behaviors, 714–716.  https://doi.org/10.1016/j.addbeh.2010.02.001
  9. Casey, B. J. (2015). Beyond simple models of self-control to circuit-based accounts of adolescent behavior. Annual Review of Psychology, 295–319.  https://doi.org/10.1146/annurev-psych-010814-015156
  10. Chen, P., & Chantala, K. (2014). Guidelines for analyzing Add Health data. Chapel Hill, NC: Carolina Population Center, University of North Carolina at Chapel Hill.Google Scholar
  11. Cialdini, R. B., & Trost, M. R. (1998). Social influence: Social norms, conformity, and compliance. In: In D. T. Gilbert, S. T. Fiske, G. Lindzey (eds.), The Handbook of Social Psychology, 4 edn. Vol. 2 (pp. 151–192). Boston: McGraw-Hill.Google Scholar
  12. Coley, R. L., Lombardi, C. M., Lynch, A. D., Mahalik, J. R., & Sims, J. (2013). Sexual partner accumulation from adolescence through early adulthood: The role of family, peer, and school social norms. Journal of Adolescent Health, 91–97.  https://doi.org/10.1016/j.jadohealth.2013.01.005
  13. Copeland, W., Shanahan, L., Costello, E. J., & Angold, A. (2009). Configurations of common childhood psychosocial risk factors. Journal of Child Psychology and Psychiatry, 451–459.  https://doi.org/10.1111/j.1469-7610.2008.02005.x
  14. Deptula, D. P., Henry, D. B., & Schoeny, M. E. (2010). How can parents make a difference? Longitudinal associations with adolescent sexual behavior. Journal of Family Psychology, 24, 731–739.  https://doi.org/10.1037/a0021760.CrossRefPubMedGoogle Scholar
  15. Donovan, J. E. (2004). Adolescent alcohol initiation: A review of psychosocial risk factors. Journal of Adolescent Health, 529.e527–529.e518.  https://doi.org/10.1016/j.jadohealth.2004.02.003
  16. Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford Press.Google Scholar
  17. Griffin, K. W., Scheier, L. M., Botvin, G. J., & Diaz, T. (2000). Ethnic and gender differences in psychosocial risk, protection, and adolescent alcohol use. Prevention Science, 199–212.  https://doi.org/10.1023/A:1026599112279
  18. Hallfors, D. D., Waller, M. W., Ford, C. A., Halpern, C. T., & Brodish, P. H. (2004). Adolescent depression and suicide risk: association with sex and drug behavior. American Journal of Preventive Medicine, 224–230.  https://doi.org/10.1016/j.amepre.2004.06.001
  19. Henry, D. B., Kobus, K., & Schoeny, M. E. (2011). Accuracy and bias in adolescents’ perceptions of friends’ substance use. Psychology of Addictive Behaviors, 80–89.  https://doi.org/10.1037/a0021874
  20. Hutchinson, M. K., Jemmott, J. B., III, Jemmott, L. S., Braverman, P., & Fong, G. T. (2003). The role of mother–daughter sexual risk communication in reducing sexual risk behaviors among urban adolescent females: a prospective study. Journal of Adolescent Health, 98–107.  https://doi.org/10.1016/S1054-139X(03)00183-6
  21. Johnston, L. D., Miech, R. A., 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: Overview, key findings on adolescent drug use. Ann Arbor, MI: Institute for Social Research, The University of Michigan.CrossRefGoogle Scholar
  22. Kotchick, B. A., Shaffer, A., Miller, K. S., & Forehand, R. (2001). Adolescent sexual risk behavior: A multi-system perspective. Clinical Psycholoy Review, 493–519.  https://doi.org/10.1016/S0272-7358(99)00070-7
  23. Lac, A., & Donaldson, C. D. (2018). Testing competing models of injunctive and descriptive norms for proximal and distal reference groups on alcohol attitudes and behavior. Addictive Behaviors, 153–159.  https://doi.org/10.1016/j.addbeh.2017.11.024
  24. Lanza, S. T., & Cooper, B. R. (2016). Latent class analysis for developmental research. Child Development Perspectives, 59–64.  https://doi.org/10.1111/cdep.12163
  25. Lapinski, M. K., & Rimal, R. N. (2005). An explication of social norms. Communication Theory, 127–147.  https://doi.org/10.1111/j.1468-2885.2005.tb00329.x
  26. Larsen, R. (2011). Missing data imputation versus full information maximum likelihood with second-level dependencies. Structural Equation Modeling, 649–662.  https://doi.org/10.1080/10705511.2011.607721
  27. Lerner, R. M. (2002). Concepts and theories of human development. 3rd ed. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
  28. Lynch, A. D., Coley, R. L., Sims, J., Lombardi, C. M., & Mahalik, J. R. (2015). Direct and interactive effects of parent, friend and schoolmate drinking on alcohol use trajectories. Psychology & Health.  https://doi.org/10.1080/08870446.2015.1040017
  29. Maggs, J. L., & Staff, J. A. (2018). Parents who allow early adolescents to drink. Journal of Adolescent Health, 245–247.  https://doi.org/10.1016/j.jadohealth.2017.09.016
  30. Mahalik, J. R., Coley, L. R., Lombardi, M. C., Lynch, D. A., Markowitz, A. J., & Jaffee, S. R. (2014). Changes in health risk behaviors for males and females from early adolescence through early adulthood. Health Psychology, 685–694.  https://doi.org/10.1037/a0031658
  31. Mrug, S., & McCay, R. (2013). Parental and peer disapproval of alcohol use and its relationship to adolescent drinking: Age, gender, and racial differences. Psychology of Addictive Behaviors, 604–614.  https://doi.org/10.1037/a0031064
  32. Muthén, B. O. (2003). Statistical and substantive checking in growth mixture modeling: Comment on Bauer and Curran. Psychological Methods, 369–377.  https://doi.org/10.1037/1082-989X.8.3.369
  33. Muthén, L. K., & Muthén, B. O. (1998). Mplus User’s Guide. Eighth Edition Los Angeles, CA: Muthén & Muthén. 2017.Google Scholar
  34. Nonnemaker, J. M., McNeely, C. A., & Blum, R. W. (2003). Public and private domains of religiosity and adolescent health risk behaviors: evidence from the National Longitudinal Study of Adolescent Health. Social Science & Medicine, 2049–2054.  https://doi.org/10.1016/S0277-9536(03)00096-0
  35. Nurmi, J.-E. (2004). Socialization and self-development: Channeling, selection, adjustment, and reflection. In R. M. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology. 2nd edn. (pp. 85–124). Hoboken, NJ: Wiley.Google Scholar
  36. Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 535–569.  https://doi.org/10.1080/10705510701575396
  37. O’Donnell, L., Myint-U, A., O’Donnell, C. R., & Stueve, A. (2003). Long-term influence of sexual norms and attitudes on timing of sexual initiation among urban minority youth. Journal of School Health, 68–75.  https://doi.org/10.1111/j.1746-1561.2003.tb03575.x
  38. Radloff, L. S. (1991). The use of the Center for Epidemiologic Studies Depression Scale in adolescents and young adults. Journal of Youth and Adolescence, 149–166.  https://doi.org/10.1007/BF01537606
  39. Rogers, A. A. (2017). Parent–adolescent sexual communication and adolescents’ sexual behaviors: A conceptual model and systematic review. Adolescent Research Review, 293–313.  https://doi.org/10.1007/s40894-016-0049-5
  40. Roy, A. L., & Raver, C. C. (2014). Are all risks equal? Early experiences of poverty-related risk and children’s functioning. Journal of Family Psychology, 391–400.  https://doi.org/10.1037/a0036683
  41. Schulenberg, J. E., & Maggs, J. L. (2002). A developmental perspective on alcohol use and heavy drinking during adolescence and the transition to young adulthood. Journal of Studies on Alcohol, 54–70.  https://doi.org/10.15288/jsas.2002.s14.54
  42. Tucker, J. S., Ellickson, P. L., & Klein, D. J. (2008). Growing up in a permissive household: What deters at-risk adolescents from heavy drinking. Journal of Studies on Alcohol and Drugs, 528–534.  https://doi.org/10.15288/jsad.2008.69.528
  43. Usher-Seriki, K. K., Bynum, M. S., & Callands, T. A. (2008). Mother–daughter communication about sex and sexual intercourse among middle-to upper-class African American girls. Journal of Family Issues, 901–917.  https://doi.org/10.1177/0192513X07311951
  44. van de Bongardt, D., Reitz, E., Sandfort, T., & Deković, M. (2014). A meta-analysis of the relations between three types of peer norms and adolescent sexual behavior. Personality and Social Psychology Review, 203–234.  https://doi.org/10.1177/1088868314544223
  45. Widman, L., Choukas-Bradley, S., Noar, S. M., Nesi, J., & Garrett, K. (2016). Parent-adolescent sexual communication and adolescent safer sex behavior: A meta-analysis. JAMA Pediatrics, 52–61.  https://doi.org/10.1001/jamapediatrics.2015.2731
  46. Wood, M. D., Read, J. P., Mitchell, R. E., & Brand, N. H. (2004). Do parents still matter? Parent and peer influences on alcohol involvement among recent high school graduates. Psychology of Addictive Behaviors, 19–30.  https://doi.org/10.1037/0893-164X.18.1.19
  47. Wright, M. O. D., Masten, A. S., & Narayan, A. J. (2013). Resilience processes in development: Four waves of research on positive adaptation in the context of adversity. In S. Goldstein & R. B. Brooks (Eds.), Handbook of resilience in children. 2nd edn. (pp. 15–37). New York, NY: Springer.CrossRefGoogle Scholar
  48. Zimmer-Gembeck, M. J., & Helfand, M. (2008). Ten years of longitudinal research on US adolescent sexual behavior: Developmental correlates of sexual intercourse, and the importance of age, gender and ethnic background. Developmental Review, 153–224.  https://doi.org/10.1016/j.dr.2007.06.001

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Human Development and Family StudiesMichigan State UniversityEast LansingUSA

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