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Original Articles

Using a classification tree modeling approach to predict cigarette use among adolescents in the United States

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References

  • Ali, M., Gray, T. R., Martinez, D. J., Curry, L. E., & Horn, K. A. (2016). Risk profiles of youth single, dual, and poly tobacco users. Nicotine & Tobacco Research, 18(7), 1614–1621. doi: 10.1093/ntr/ntw028
  • Agaku, I. T., Vardavas, C. I., Ayo-Yusuf, O. A., Alpert, H. R., & Connolly, G. N. (2014). Gender and racial differences in smoking of long/ultra-long and king size cigarettes among U.S. adult smokers, NHANES 1999-2012. Drug and Alcohol Dependence, 136, 28–35. doi: 10.1016/j.drugalcdep.2013.12.004
  • Boyas, J., Stauss, K., & Murphy-Erby, Y. (2012). Predictors of frequency of sexual health communication: Perceptions from early adolescent youth in rural Arkansas. Child and Adolescent Social Work Journal, 29(4), 267–284. doi: 10.1007/s10560-012-0264-2
  • Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984). Classification and regression trees. New York, NY: Chapman & Hall/CRC.
  • Bronfenbrenner, U., & Ceci, S. J. (1994). Nature-nurture reconceptualized in developmental perspective: A bioecological model. Psychological Review, 101(4), 568–586.
  • Centers for Disease Control and Prevention. (2007). Cigarette smoking among adults – United States, 2006. Morbidity and Mortality Weekly Report, 56(44), 1157–1161.
  • Choi, H. J., Yu, M., & Sacco, P. (2018). Racial and ethnic differences in patterns of adolescent tobacco users: A latent class analysis. Children and Youth Services Review, 84, 86–93. doi: 10.1016/j.childyouth.2017.11.019
  • Cummings, J. R., & Druss, B. G. (2011). Racial/ethnic differences in mental health service use among adolescents with major depression. Journal of the American Academy of Child & Adolescent Psychiatry, 50(2), 160–170. doi: 10.1016/j.jaac.2010.11.004
  • Curry, S. J., Mermelstein, R. J., & Sporer, A. K. (2009). Therapy for specific problems: Youth tobacco cessation. Annual Review of Psychology, 60(1), 229–255. doi: 10.1146/annurev.psych.60.110707.163659
  • De’ath, G., & Fabricius, K. E. (2000). Classification and regression trees: A powerful yet simple technique for ecological data analysis. Ecology, 81(11), 3178–3192.
  • Dierker, L., Rose, J. S., Selya, A., Piasecki, T. M., Hedeker, D., & Mermelstein, R. (2015). Depression and nicotine dependence from adolescence to young adulthood. Addictive Behaviors, 41, 124–128. doi: 10.1016/j.addbeh.2014.10.004
  • Dierker, L. C., Avenevoli, S., Merikangas, K. R., Flaherty, B. P., & Stolar, M. (2001). Association between psychiatric disorders and the progression of tobacco use behaviors. Journal of the American Academy of Child & Adolescent Psychiatry, 40(10), 1159–1167. doi: 10.1097/00004583-200110000-00009
  • Fuller-Thomson, E., Filippelli, J., & Lue-Crisostomo, C. A. (2013). Gender-specific association between childhood adversities and smoking in adulthood: Findings from a population-based study. Public Health, 127(5), 449–460. doi: 10.1016/j.puhe.2013.01.006
  • Gentzke, A. S., Creamer, M., Cullen, K. A., Ambrose, B. K., Willis, G., Jamal, A., & King, B. A. (2019). Vital signs: Tobacco product use among middle and high school students – The United States. Morbidity and Mortality Weekly Report, 68(6), 157–164. doi: 10.15585/mmwr.mm6806e1
  • Goings, T. C., Hidalgo, S. T., & McGovern, P. P. (2018). Racial/ethnic differences in cigarette use trends in the United States among multiracial and other youth, 1994-2008. Journal of Drug Issues, 48(1), 90–105.
  • Huo, X., Kim, S. B., Tsui, K.-L., & Wang, S. (2006). A frontier-based tree pruning algorithm (FBP). INFORMS Journal on Computing, 18(4), 494–505.
  • Institute of Medicine. (2015). Public health implications of raising the minimum age of legal access to tobacco products. Washington, DC: The National Academies Press.
  • Jackson, K. M., Sher, K. J., Cooper, M. L., & Wood, P. K. (2002). Adolescent alcohol and tobacco use: Onset, persistence and trajectories of use across two samples. Addiction, 97(5), 517–531. doi: 10.1046/j.1360-0443.2002.00082.x
  • Johnston, L. D., O’Malley, P. M., Miech, R. A., Bachman, J. G., & Schulenberg, J. E. (2016). Demographic subgroup trends among adolescents in the use of various licit and illicit drugs, 1975–2015 (Monitoring the Future Occasional Paper No. 86). Ann Arbor, MI: Institute for Social Research, the University of Michigan. Retrieved from http://www.monitoringthefuture.org/pubs/occpapers/mtf-occ86.pdf–PDF
  • Kann, L., McManus, T., Harris, W. A., Shanklin, S. L., Flint, K. H., Queen, B., … Ethier, K. A. (2018). Youth risk behavior surveillance – United States, 2017. Morbidity and Mortality Weekly Report. Surveillance Summaries, 67(8), 1–114. Retrieved from 10.15585/mmwr.ss6708a1
  • Kiefe, C. I., Williams, O. D., Lewis, C. E., Allison, J. J., Sekar, P., & Wagenknecht, L. E. (2001). Ten-year changes in smoking among young adults: Are racial differences explained by socioeconomic factors in the CARDIA study? American Journal of Public Health, 91(2), 213–218.
  • Koval, J. J., Pederson, L. L., Mills, C. A., McGrady, G. A., & Carvajal, S. C. (2000). Models of the relationship of stress, depression, and other psychosocial factors to smoking behavior: A comparison of cohort of students in grades 6 and 8. Preventive Medicine, 30(6), 463–477. doi: 10.1006/pmed.2000.0671
  • Lechner, W. V., Janssen, T., Kahler, C. W., Audrain-McGovern, J., & Leventhal, A. M. (2017). Bi-directional associations of electronic and combustible cigarette use onset patterns with depressive symptoms in adolescents. Preventive Medicine, 96, 73–78. doi: 10.1016/j.ypmed.2016.12.034
  • Lee, Y. O., Hebert, C. J., Nonnemaker, J. M., & Kim, A. E. (2015). Youth tobacco product use in the United States. Pediatrics, 135(3), 409–415. doi: 10.1542/peds.2014-3202
  • Lei, Y., Nollen, N., Ahluwahlia, J. S., Yu, Q., & Mayo, M. S. (2015). An application in identifying high-risk populations in alternative tobacco product use utilizing logistic regression and CART: A heuristic comparison. BMC Public Health, 15(1), 341. doi: 10.1186/s12889-015-1582-z
  • Lemon, S. C., Roy, J., Clark, M. A., Friedmann, P. D., & Rakowski, W. (2003). Classification and regression tree analysis in public health: Methodological review and comparison with logistic regression. Annals of Behavioral Medicine, 26(3), 172–181. doi: 10.1207/s15324796abm2603_02
  • McCabe, S. E., Veliz, P., McCabe, V. V., & Boyd, C. J. (2017). Smoking behaviors and intentions among current e-cigarette users, cigarette smokers, and dual users: A national survey of U.S. high school seniors. Preventive Medicine, 99, 228–235.
  • McKenzie, M., Olsson, C. A., Jorm, A. F., Romaniuk, H., & Patton, G. C. (2010). Association of adolescent symptoms of depression and anxiety with daily smoking and nicotine dependence in young adulthood: Findings from a 10-year longitudinal study. Addiction, 105(9), 1652–1659. doi: 10.1111/j.1360-0443.2010.03002.x
  • Mercken, L., Snijders, T. A. B., Steglich, C., Vertiainen, E., & de Vries, H. (2010). Smoking-based selection and influence in gender-segregated friendship networks: A social network analysis of adolescent smoking. Addiction, 105(7), 1280–1289. doi: 10.1111/j.1360-0443.2010.02930.x
  • Merikangas, K. R., He, J.-P., Burstein, M., Swendsen, J., Avenevoli, S., Case, B., … Olfson, M. (2011). Service utilization for lifetime mental disorders in U.S. adolescents: Results of the National Comorbidity Survey-adolescent supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry, 50(1), 32–45. doi: 10.1016/j.jaac.2010.10.006
  • National Institute on Drug Abuse. (2011). Facts on drugs: Tobacco addiction. NIDA for Teens. Retrieved from http://teens.drugabuse.gov/facts/facts_nicotine1.php
  • Neville, P. G. (1999). Decision trees for predictive modeling. Retrieved from https://datamining.bus.utk.edu/Documents/Decision-Trees-for-Predictive-Modeling-(Neville).pdf
  • O’Loughlin, J. O., Karp, I., Koulis, T., Paradis, G., & DiFranza, J. (2009). Determinants of first puff and daily cigarette smoking in adolescents. American Journal of Epidemiology, 170(5), 585–597. doi: 10.1093/aje/kwp179
  • Palamar, J. J., Zhou, S., Sherman, S., & Weitzman, M. (2014). Hookah use among U.S. high school seniors. Pediatrics, 134(2), 227–234. doi: 10.1542/peds.2014-0538
  • Poikolainen, K., Tuulio-Henriksson, A., Aalto-Setälä, T., Marttunen, M., & Lönnqvist, J. (2001). Predictors of alcohol intake and heavy drinking in early adulthood: A 5-year follow-up of 15–19-year-old Finnish adolescents. Alcohol and Alcoholism, 36(1), 85–88. doi: 10.1093/alcalc/36.1.85
  • Pratt, L., & Brody, D. J. (2014). Depression in the U.S. household population, 2009–2012. NCHS Data Brief, 172, 1–8.
  • Richter, L., Pugh, B. S., Smith, P. H., & Ball, S. A. (2017). The co-occurrence of nicotine and other substance use and addiction among youth and adults in the United States: Implications for research, practice, and policy. The American Journal of Drug and Alcohol Abuse, 43(2), 132–145. doi: 10.1080/00952990.2016.1193511
  • Rohde, P., Lewinsohn, P. M., Brown, R. A., Gau, J. M., & Kahler, C. W. (2003). Psychiatric disorders, familial factors and cigarette smoking: I. Associations with smoking initiation. Nicotine & Tobacco Research, 5, 85–98. doi: 10.1080/1462220031000070507
  • Schuster, R. M., Hertel, A. W., & Mermelstein, R. (2013). Cigar, cigarillo, and little cigar use among current cigarette-smoking adolescents. Nicotine & Tobacco Research, 15(5), 925–931. doi: 10.1093/ntr/nts222
  • Silveira, M. L., Conway, K. P., Green, V. R., Kasza, K. A., Sargent, J. D., Borek, N., … Compton, W. M. (2018). Longitudinal associations between youth tobacco and substance use in waves 1 and 2 of the population assessment of tobacco and health (PATH) Study. Drug and Alcohol Dependence, 191, 25–36.
  • Singh, T., Arrazola, R. A., Corey, C. G., Husten, C. G., Neff, L. J., Homa, D. M., & King, B. A. (2016). Tobacco use among middle and high school students – United States, 2011–2015. Morbidity and Mortality Weekly Report, 65(14), 361–367. doi: 10.15585/mmwr.mm6514a1
  • Soneji, S., Sargent, J., & Tanski, S. (2016). Multiple tobacco product use among US adolescents and young adults. Tobacco Control, 25(2), 174–180. doi: 10.1136/tobaccocontrol-2014-051638
  • Soteriades, E., & Difranza, J. (2003). Parent’s socioeconomic status, adolescents’ disposable income, and adolescents’ smoking status in Massachusetts. American Journal of Public Health, 93(7), 1155–1160. doi: 10.2105/AJPH.93.7.1155
  • Steinberg, L. (2007). Risk taking in adolescence: New perspectives from brain and behavioral science. Current Directions in Psychological Science, 16(2), 55–59. doi: 10.1111/j.1467-8721.2007.00475.x
  • Surgeon General (2017). Preventing tobacco use among youths, surgeon general fact sheet. Retrieved from https://www.hhs.gov/surgeongeneral/reports-and-publications/tobacco/preventing-youth-tobacco-use-factsheet/index.html
  • U.S. Centers for Disease Control and Prevention (2018). Youth risk behavioral surveillance United States, 2017. Retrieved from https://www.cdc.gov/healthyyouth/data/yrbs/pdf/2017/ss6708.pdf
  • U.S. Department of Health and Human Services (2014). The health consequences of smoking: 50 years of progress. A report of the surgeon general. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health. Retrieved from http://www.ncbi.nlm.nih.gov/books/NBK179276/
  • Wagstaff, A. E., & Polo, A. J. (2012). Ethnicity and adolescent depression: Prevalence, access to services, and promising interventions. The Prevention Researcher, 19, 8–10.
  • Wang, M. Q., Fitzhugh, E. C., Green, B. L., Turner, L., Eddy, J. M., & Westerfield, R. C. (1999). Prospective social psychological factors of adolescent smoking progression. Journal of Adolescent Health, 24(1), 2–9. doi: 10.1016/S1054-139X(98)00080-9
  • Wellman, R. J., Duga, E. N., Dutczak, H., O’Loughlin, E. K., Datta, G. D., Lauzon, B., & O’Loughlin, J. (2016). Predictors of the onset of cigarette smoking: A systematic review of longitudinal population-based studies in youth. American Journal of Preventive Medicine, 51(5), 767–768.

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