Skip to main content

Advertisement

SpringerLink
Log in

The Predictive Influence of Youth Assets on Drinking and Driving Behaviors in Adolescence and Young Adulthood

  • Original Paper
  • Published:
The Journal of Primary Prevention Aims and scope Submit manuscript

Abstract

Drinking and driving among adolescents and young adults remains a significant public health burden. Etiological research is needed to inform the development and selection of preventive interventions that might reduce alcohol-involved crashes and their tragic consequences. Youth assets—that is, skills, competencies, relationships, and opportunities—can help youth overcome challenges, successfully transition into adulthood, and reduce problem behavior. We examined the predictive influence of individual, relationship, and community assets on drinking and driving (DD) and riding with a drinking driver (RDD). We assessed prospective relationships through analysis of data from the Youth Assets Study, a community-based longitudinal study of socio-demographically diverse youth. Results from calculation of marginal models using a Generalized Estimating Equation approach revealed that parent and peer relationship and school connectedness assets reduced the likelihood of both drinking and driving and riding with a drinking driver approximately 1 year later. The most important and consistent asset that influenced DD and RDD over time was parental monitoring, highlighting the role of parental influence extending beyond the immediate teen driving context into young adulthood. Parenting-focused interventions could influence factors that place youth at risk for injury from DD to RDD, complementing other evidence-based strategies such as school-based instructional programs and zero tolerance Blood Alcohol Concentration laws for young and inexperienced drivers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Bingham, C., & Shope, J. (2004). Adolescent problem behavior and problem driving in young adulthood. Journal of Adolescent Research, 19(2), 205–223.

    Article  Google Scholar 

  • Bingham, C., Shope, J., & Raghunathan, T. (2006). Patterns of traffic offenses from adolescent licensure into early young adulthood. Journal of Adolescent Health, 39(1), 35–42.

    Article  PubMed  PubMed Central  Google Scholar 

  • Blum, R., Beuhring, T., Shew, M., Bearinger, L., Sieving, R., & Resnick, M. (2000). The effects of race/ethnicity, income, and family structure on adolescent risk behaviors. American Journal of Public Health, 90(12), 1879–1884.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Brener, N. D., Eaton, D. K., Flint, K. H., Hawkins, J., Kann, L., Kinchen, S., & Shanklin, S. L. (2013). Methodology of the Youth Risk Behavior Surveillance System-2013. Atlanta, Georgia: US Department of Health and Human Services Centers for Disease Control and Prevention.

    Google Scholar 

  • Brindis, C., Peterson, L. J., Card, J. J., & Eisen, M. (1998). Prevention Minimum Evaluation Data Set (PMEDS): A minimum data set for evaluating programs aimed at preventing adolescent pregnancy and STD/AIDS. Los Altos, CA: Sociometrics Corporation.

    Google Scholar 

  • Catalano, R., Hawkins, J., Berglund, L., Pollard, J., & Arthur, M. (2002). Prevention science and positive youth development: Competitive of cooperative frameworks? Journal of Adolescent Health, 31(6), 230–239.

    Article  PubMed  Google Scholar 

  • Centers for Disease Control and Prevention. (2014a). Web-based Injury Statistics Query and Reporting System (WISQARS). February 19, 2013 from http://www.cdc.gov/ncipc/wisqars.

  • Centers for Disease Control and Prevention. (2014b). Youth risk behavior surveillance—United States, 2013. Morbidity and Mortality Weekly Report Surveillance Summaries, 63, 1–168.

    Google Scholar 

  • Centers for Disease Control and Prevention. (ND). Trends in the prevalence of alcohol use National YRBS: 1991–2013. Retrieved January 30, 2015, from http://www.cdc.gov/healthyyouth/yrbs/pdf/trends/us_alcohol_trend_yrbs.pdf.

  • Chen, M., Grube, J., Nygaard, P., & Miller, B. (2008). Identifying social mechanisms for the prevention of adolescent drinking and driving. Accident Analysis and Prevention, 40(2), 576–585.

    Article  PubMed  PubMed Central  Google Scholar 

  • Elder, R. W., Nichols, J. L., Shults, R. A., Sleet, D. A., Barrios, L. C., & Compton, R. (2005). Effectiveness of school-based programs for reducing drinking and driving and riding with drinking drivers: A systematic review. American Journal of Preventive Medicine, 28(5), 288–304.

    Article  PubMed  Google Scholar 

  • Evans-Whipp, T., Plenty, S., Toumbourou, J., Olsson, C., Rowland, B., & Hemphill, S. (2013). Adoelscent exposure to drink driving as a predictor of young adults’ drink driving. Accident Analysis and Prevention, 51, 185–191.

    Article  PubMed  PubMed Central  Google Scholar 

  • Frieden, T. (2010). A framework for public health action: The health impact pyramid. American Journal of Public Health, 100(4), 590–595.

    Article  PubMed  PubMed Central  Google Scholar 

  • Haegerich, T., Oman, R., Vesely, S., Aspy, C., & Tolma, E. (2014). The predictive influence of family and neighborhood assets on fighting and weapon carrying from mid- to late adolescence. Prevention Science, 15, 473–484.

    Article  PubMed  PubMed Central  Google Scholar 

  • Haggerty, K., Fleming, C., Catalano, R., Harachi, T., & Abbott, R. (2006). Raising healthy children: Examining the impact of promoting healthy driving behavior within a social development intervention. Prevention Science, 7(3), 257–267.

    Article  PubMed  Google Scholar 

  • Insurance Institute for Highway Safety. (2013). Effective dates of graduated licensing laws. from http://www.iihs.org/iihs/topics/laws/graduatedlicenseintro?topicName=teenagers.

  • Johnson, S., & Jones, V. (2011). Adolescent development and risk of injury: Using developmental science to improve interventions. Injury Prevention, 17(1), 50–54.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kegler, M., Oman, R., Vesely, S., McLeroy, K., Aspy, C., Rodine, S., & Marshall, L. (2005). Relationships among youth assets and neighborhood and community resources. Health Education and Behavior, 32, 380–397.

    Article  PubMed  Google Scholar 

  • Kumpfer, K. L., Whiteside, H. O., Greene, J. A., & Allen, K. C. (2010). Effectiveness outcomes of four age versions of the Strengthening Families Program in statewide field sites. Group Dynamics: Theory, Research, and Practice, 14(3), 211–229.

    Article  Google Scholar 

  • Li, K., Simons-Morton, B., Brooks-Russell, A., Ehsni, J., & Hingson, R. (2014a). Drinking and parenting practices as predictors of imparied driving behaviors among US adolescents. Journal of Studies on Alcohol and Drugs, 75(1), 5–15.

    Article  PubMed  PubMed Central  Google Scholar 

  • Li, K., Simons-Morton, B., Vaca, F., & Hingson, R. (2014b). Association between riding with an impaired driver and driving while impaired. Pediatrics, 133(4), 620–626.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lösel, F., & Farrington, D. P. (2012). Direct protective and buffering protective effects in the development of youth violence. American Journal of Preventive Medicine, 43(Suppl 1), S8–S23.

    Article  PubMed  Google Scholar 

  • Maldonado-Molina, N., Reingle, J., Delcher, C., & Branchini, J. (2011). The role of parental alcohol consumption on driving under the influence of alcohol: Results from a longitudinal, nationally representative sample. Accident Analysis and Prevention, 43(6), 2182–2187.

    Article  PubMed  PubMed Central  Google Scholar 

  • McCartt, A., Teoh, E., Fields, M., Braitman, K., & Hellinga, L. (2010). Graduated licensing laws and fatal crashes of teenage drivers: A national study. Traffic Injury Prevention, 11(3), 240–248.

    Article  PubMed  Google Scholar 

  • National Highway Traffic Safety Administration. (2014). Traffic safety facts 2012 data: Young drivers. Washington, DC: US Department of Transportation, National Highway Traffic Safety Administration.

    Google Scholar 

  • Oman, R., Tolma, E., Vesely, S., & Aspy, C. (2013). Youth gender differences in alcohol use: A prospective study of multiple youth assets and the neighborhood environment. Open Journal of Preventive Medicine, 3(2), 219–228.

    Article  Google Scholar 

  • Oman, R., Vesely, S., Aspy, C., Fluhr, J., Marshall, L., Calhoun, G., & Rodine, S. (2009). Methodological considerations in a community-based longitudinal study. American Journal of Health Behavior, 33(1), 58–68.

    Article  PubMed  Google Scholar 

  • Oman, R., Vesely, S., Aspy, C., McLeroy, K., Rodine, S., & Marshall, L. (2004). The potential protective effect of youth assets on adolescent alcohol and drug use. American Journal of Public Health, 94, 1425–1430.

    Article  PubMed  PubMed Central  Google Scholar 

  • Oman, R., Vesely, S., McLeroy, K., Harris-Wyatt, V., Aspy, C., Rodine, S., & Marshall, L. (2002). Reliability and validity of the Youth Asset Survey (YAS). Journal of Adolescent Health, 31, 247–255.

    Article  PubMed  Google Scholar 

  • Oman, R., Vesely, S., Tolma, E., Aspy, C., & Marshall, L. (2010). Reliability and validity of the youth asset survey: An update. American Journal of Health Promotion, 25, e13–e24.

    Article  PubMed  Google Scholar 

  • Pepe, M., & Anderson, G. (1994). A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data. Communication in Statistics-Simulation and Computation, 23, 939–951. doi:10.1080/03610919408813210.

    Article  Google Scholar 

  • Scott-Parker, B., Watson, B., & King, M. (2009). Understanding the psychosocial factors influencing the risky behaviour of young drivers. Transportation Research Part F, 12(6), 470–482.

    Article  Google Scholar 

  • Shope, J., Raghunathan, T., & Patil, S. (2003). Examining trajectories of adolescent risk factors as predictors of subsequent high-risk driving behavior. Journal of Adolescent Health, 23(3), 214–224.

    Article  Google Scholar 

  • Shults, R., Elder, R., Sleet, D., Nichols, J., Alao, M., Carande-Kulis, V., et al. (2001). Reviews of evidence regarding interventions to reduce alcohol-impaired driving. American Journal of Preventive Medicine, 21(4S), 66–88.

    Article  CAS  PubMed  Google Scholar 

  • Simons-Morton, B., Hartos, J., Leaf, W., & Preusser, D. (2006). The effect on teen driving outcomes of the Checkpoints Program in a state-wide trial. Accident Analysis and Prevention, 38(5), 907–912.

    Article  PubMed  Google Scholar 

  • Simons-Morton, B., Ouimet, M., & Compton, R. (2008). Parenting and the young driver problem. American Journal of Preventive Medicine, 35(3S), S294–S303.

    Article  PubMed  PubMed Central  Google Scholar 

  • Simons-Morton, B., Ouimet, M., Zhang, Z., Klauer, S., Lee, S., Wang, J., et al. (2011). The effect of passengers and risk-taking friends on risky driving and crashes/near crashes among novice teenagers. Journal of Adolescent Health, 49(6), 587–593.

    Article  PubMed  PubMed Central  Google Scholar 

  • Smit, E., Verdurmen, J., Monshouwer, K., & Smit, F. (2008). Family interventions and their effect on adolescent alcohol use in general populations: A meta-analysis of randomized controlled trials. Drug and Alcohol Dependence, 97(3), 195–206.

    Article  PubMed  Google Scholar 

  • Vassalloa, S., Smart, D., Sanson, A., Cockfield, S., Harris, A., McIntyre, A., & Harrison, W. (2008). Risky driving among young Australian drivers II: Co-ocurrence with other problem behaviours. Accident Analysis and Prevention, 40(1), 376–386.

    Article  Google Scholar 

  • Williams, A. F. (2003). Teenage drivers: Patterns of risk. Journal of Safety Research, 34(1), 5–15.

    Article  PubMed  Google Scholar 

  • Windle, M. (2003). Alcohol use among adolescents and young adults. Population, 45(5.9), 19–25.

    Google Scholar 

Download references

Funding

Funding support for the Youth Assets Study was provided to the University of Oklahoma Health Sciences Center by the Centers for Disease Control and Prevention (CDC; Cooperative Agreement # 5 U01 DP0001320) and the Inasmuch Foundation; additional funding was provided to Oman and Vesely for supplemental analysis to support this manuscript.

Author information

Authors and Affiliations

  1. Division of Unintentional Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, 4770 Buford Hwy NE MS F62, Atlanta, GA, 30341, USA

    Tamara M. Haegerich & Ruth A. Shults

  2. University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA

    Roy F. Oman & Sara K. Vesely

Authors
  1. Tamara M. Haegerich
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ruth A. Shults
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Roy F. Oman
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sara K. Vesely
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tamara M. Haegerich.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Disclosures

The conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention or the Insamuch Foundation.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Haegerich, T.M., Shults, R.A., Oman, R.F. et al. The Predictive Influence of Youth Assets on Drinking and Driving Behaviors in Adolescence and Young Adulthood. J Primary Prevent 37, 231–245 (2016). https://doi.org/10.1007/s10935-016-0418-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10935-016-0418-7

Keywords

Search

Navigation