Problem Behavior Syndrome and its Influence on the Transition from Experimental to Daily Smoking Among Adolescents in the US

REFERENCES

• Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press.
   Google Scholar
• Allison, P. D. (2001). Missing data. Thousand Oaks, CA: Sage.
   Google Scholar
• Association for Education in Journalism and Mass Communication (2008). Creating standardized scores. Retrieved September 10, 2008 from, http://www.aejmc.org/_officerhandbooks/research_chairs/tableofcontents.php.
   Google Scholar
• Biglan, A., Brennan, P.A., Foster, S.L., & Holder, H.D. (2004). Helping adolescents at risk: prevention of multiple problem behaviors. New York: The Guilford Press.
   Google Scholar
• Botvin, G. J. (2000). Preventing drug abuse in schools: Social and competence enhancement approaches targeting individual-level etiologic factors. Addictive Behaviors, 25, 887–897.
   PubMed Web of Science ®Google Scholar
• Breslau, N., Fenn, N., & Peterson, E.L. (1993). Early smoking initiation and nicotine dependence in a cohort of young adults. Drug and Alcohol Dependence, 33(2), 248–265.
   Google Scholar
• Centers for Disease Control and Prevention. (1996). Projected smoking-related deaths among youth—United States. Morbidity and Mortality Weekly Report, 45(44), 971–974.
   PubMedGoogle Scholar
• Centers for Disease Control and Prevention. (2002). Annual smoking-attributable mortality, years of potential life lost, and economic costs—United States, 1995–1999. Morbidity and Mortality Weekly Report, 51(14), 300–303.
   PubMedGoogle Scholar
• Centers for Disease Control and Prevention (2008a). Cigarette use among high school students: United States, 1991–2007. Morbidity and Mortality Weekly Report, 57(25), 689–691.
   PubMedGoogle Scholar
• Center for Disease Control and Prevention (2008b). National trends in risk behaviors. Retrieved September 9, 2008 from, http://www.cdc.gov/HealthyYouth/yrbs/trends.htm
   Google Scholar
• Chantala, K., & Tabor, J. (1999). National Longitudinal Study of Adolescent Health: Strategies to perform a designed-based analysis using the Add Health data. Chapel Hill, NC: Carolina Population Center, University of North Carolina at Chapel Hill.
   Google Scholar
• Cooper, M.L., Wood, P.K., Orcutt, H.K., & Albino, A. (2003). Personality and the predisposition to engage in risky or problem behaviors during adolescence. Journal of Personality and Social Psychology, 84(2), 390–410.
   PubMed Web of Science ®Google Scholar
• Dierker, L.C., Avenevoli, S., Goldberg, A., & Glantz, M. (2004). Defining subgroups of adolescents at risk for experimental and regular smoking. Prevention Science, 5(3), 169–183.
   PubMedGoogle Scholar
• Dolcini, M.M., Adler, N.E., & Ginsberg, D. (1996). Factors influencing agreement between self-reports and biological measures of smoking among adolescents. Journal of Research on Adolescence, 6(4), 515–542.
   Web of Science ®Google Scholar
• Donhew, L., Palmgreen, P., Zimmerman, R., Harrington, N., & Lane, D. (2003). Health risk takers and prevention. In D. Romer (Ed.): Reducing adolescent risk: Toward an integrated approach (pp. 125–145). Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Donovan, J.E., & Jessor, R. (1985). Structure of problem behavior in adolescence and young adulthood. Journal of C onsulting and Clinical Psychology, 53(6), 890–904.
   PubMed Web of Science ®Google Scholar
• Donovan, J.E., Jessor, R., & Costa, F.M. (1988). Syndrome of problem behavior in adolescence: A replication. Journal of Consulting and Clinical Psychology, 56, 762–765.
   PubMed Web of Science ®Google Scholar
• Flay, B.R. (1993). Youth tobacco use: Risks, patterns, and control. In C.T. Orleans & J. Slade (Eds.), Nicotine addiction: Principles and management (pp. 365–384). New York: Oxford University Press.
   Google Scholar
• Hatcher, L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modeling. Cary, NY: SAS Institute Inc.
   Google Scholar
• Jessor, R., Donovan, J.E., & Costa, F.M. (1991). Beyond adolescence: Problem behavior and young adult development. New York: Cambridge University Press.
   Google Scholar
• Jessor, R., & Jessor, S.L. (1977). Problem behavior and psychosocial development: A longitudinal study of youth. New York: Academic Press.
   Google Scholar
• Kaplan, C.P., Nápoles-Springer, A., Steward, S.L., & Pérez-Stable, E.J. (2001). Smoking acquisition among adolescents and young latinas: The role of socioenvironmental and personal factors. Addictive behaviors, 26, 531–550.
   PubMed Web of Science ®Google Scholar
• Kline, P. (1994). An easy guide to factor analysis. New York, NY: Routledge.
   Google Scholar
• Lloyd-Richardson, E.E., Papandonatos, G., Kazura, A., Stanton, C., & Niaura, R. (2002). Differentiating stages of smoking intensity among adolescents: Stage-specific psychological and social influences. Journal of Consulting and Clinical Psychology, 70(4), 998–1009.
   PubMed Web of Science ®Google Scholar
• Mayhew, K.P., Flay, B.R., & Mott, J.A. (2000). Stages in the development of adolescent smoking. Drug and Alcohol Dependence, 59, S61–S81.
   PubMed Web of Science ®Google Scholar
• Oetting, E.R., & Beauvais, F. (1986). Peer cluster theory: Drugs and the adolescent. Journal of Counseling and Development, 65, 17–22.
   Web of Science ®Google Scholar
• Park, S., Weaver, T. E., & Romer, D. (2009). Predictors of the transition from experimental to daily smoking among adolescents in the United States. Journal of Specialists in Pediatric Nursing, 14(2), 102– 111.
   PubMedGoogle Scholar
• Revelle, W. (1987). Personality and motivation: Sources of inefficiency in cognitive performance.. Journal of Research in Personality,, 21, 436–452.
   Web of Science ®Google Scholar
• Romer, D. (ed.) (2003). Reducing adolescent risk: Toward an integrated approach. Thousand Oaks, CA: Sage Press.
   Google Scholar
• Shure, M. (2003). A problem solving approach to preventing early high risk behaviors in children and preteens. In D. Romer, (ed.) Reducing adolescent risk: Toward an integrated approach (pp. 85–92). Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Tourangeau, R., & Shin, H.C. (1999). Grand sample weight. Carolina Population Center: University of North Carolina at Chapel Hill, unpublished paper.
   Google Scholar
• Turner, L., Mermelstein, R., & Flay, B. (2004). Individual and contextual influences on adolescent smoking. Annals New York Academy of Sciences, 1021, 175–197.
   PubMedGoogle Scholar
• Tyas, S.L. & Pederson, L. (1998). Psychosocial factors related to adolescent smoking: a critical review of the literature. Tobacco Control, 7, 409–420.
   PubMed Web of Science ®Google Scholar
• Udry, J.R. (1997). The National Longitudinal Study of Adolescent Health (Add Health), Waves I & II, 1994–1996; A user's guide to the machine-readable files and documentation (No. Data Sets 48–50, 98, A1–A3). Los Altos, CA: Sociometrics Corporation, American Family Data Archive.
   Google Scholar
• Williams, J.H., Ayers, C.D., Abbott, R., Hawkins, J.D., & Catalano, R.F. (1996). Structural equivalence of involvement in problem behavior by adolescents across racial groups using multiple group confirmatory factor analysis. Social Work Research, 20(3), 168–178.
   Web of Science ®Google Scholar
• Zhang, L., & Welte, J.W., Wieczoek, W.F. (2002). Underlying common factors of adolescent problem behaviors. Criminal Justice and Behavior, 29(2), 161–182.
   Google Scholar
• Zuckerman, M. (1979). Sensation seeking: Beyond the optimal level of arousal. Hillsdale, NJ: Erlbaum.
   Google Scholar