References
- American Psychological Association. (n.d.). Working memory. https://dictionary.apa.org/working-memory
- Ames, S. L., Xie, B., Shono, Y., & Stacy, A. W. (2017). Adolescents at risk for drug abuse: A 3‐year dual‐process analysis. Addiction, 112(5), 852–863. https://doi.org/10.1111/add.13742
- Baddeley, A. D., & Hitch, G. (1974). Working memory. In G. A. Bower (Ed.). Psychology of learning and motivation (Vol. 8, pp. 47–89). Academic Press.
- Billieux, J., Gay, P., Rochat, L., Khazaal, Y., Zullino, D., & Van der Linden, M. (2010). Lack of inhibitory control predicts cigarette smoking dependence: Evidence from a non-deprived sample of light to moderate smokers. Drug and Alcohol Dependence, 112(1–2), 164–167. https://doi.org/10.1016/j.drugalcdep.2010.06.006
- Blanton, H., Gibbons, F. X., Gerrard, M., Conger, K. J., & Smith, G. E. (1997). Role of family and peers in the development of prototypes associated with substance use. Journal of Family Psychology, 11(3), 271–288. https://doi.org/10.1037/0893-3200.11.3.271
- Bliese, P. (2016). Multilevel. R package version 2.6. https://cran.r-project.org/web/packages/multilevel/multilevel.pdf
- Della Sala, S., Gray, C., Baddeley, A., & Wilson, L. (1997). Visual Patterns Test: A test of short-term visual recall. Suffolk, England: Thames Valley Test Company.
- de Velasco, J. R., Austin, G., Dixon, D., Johnson, J., McLaughlin, M., & Perez, L. (2008). Alternative education options: A descriptive study of California continuation high schools. California Alternative Education Research Project, San Diego University. https://www.mydigitalchalkboard.org/cognoti/content/file/resources/documents/c7/c75e0f61/c75e0f611e7ec0a40927ed53cddc45a893dbccb4/AltEdOptsIssueBrief.pdf
- DiFranza, J. R., Rigotti, N. A., McNeill, A. D., Ockene, J. K., Savageau, J. A., St Cyr, D., & Coleman, M. (2000). Initial symptoms of nicotine dependence in adolescents. Tobacco Control, 9(3), 313–319. https://doi.org/10.1136/tc.9.3.313
- El-Toukhy, S., Sabado, M., & Choi, K. (2018). Trends in tobacco product use patterns among U.S. Youth, 1999-2014. Nicotine & Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco, 20(6), 690–697. https://doi.org/10.1093/ntr/ntx128
- Fillmore, M. T., Ostling, E. W., Martin, C. A., & Kelly, T. H. (2009). Acute effects of alcohol on inhibitory control and information processing in high and low sensation-seekers. Drug and Alcohol Dependence, 100(1–2), 91–99. https://doi.org/10.1016/j.drugalcdep.2008.09.007
- Fillmore, M. T., Rush, C. R., & Hays, L. (2006). Acute effects of cocaine in two models of inhibitory control: Implications of non-linear dose effects. Addiction (Abingdon, England)), 101(9), 1323–1332. https://doi.org/10.1111/j.1360-0443.2006.01522.x
- Gerrard, M., Gibbons, F. X., Houlihan, A. E., Stock, M. L., & Pomery, E. A. (2008). A dual-process approach to health risk decision making: The prototype willingness model. Developmental Review, 28(1), 29–61. https://doi.org/10.1016/j.dr.2007.10.001
- Gibbons, F. X., Gerrard, M., Blanton, H., & Russell, D. W. (1998). Reasoned action and social reaction: Willingness and intention as independent predictors of health risk. Journal of Personality and Social Psychology, 74(5), 1164–1180. doi: 10.1037/0022-3514.74.5.1164
- Gibbons, F. X., Gerrard, M., & Lane, D. J. (2003). A social reaction model of adolescent health risk. In J. Suls & K. A. Wallston (Eds.), Blackwell series in health psychology and behavioral medicine. Social psychological foundations of health and illness (p. 107–136). Blackwell Publishing. https://doi.org/10.1002/9780470753552.ch5
- Gilbert, D. T., Gill, M. J., & Wilson, T. D. (2002). The future is now: Temporal correction in affective forecasting. Organizational Behavior and Human Decision Processes, 88(1), 430–444. https://doi.org/10.1006/obhd.2001.2982
- Grant, J. E., Chamberlain, S. R., Schreiber, L., & Odlaug, B. L. (2012). Neuropsychological deficits associated with cannabis use in young adults. Drug and Alcohol Dependence, 121(1–2), 159–162. https://doi.org/10.1016/j.drugalcdep.2011.08.015
- Heitz, R. P., & Engle, R. W. (2007). Focusing the spotlight: Individual differences in visual attention control. Journal of Experimental Psychology: General, 136(2), 217–240. https://doi.org/10.1037/0096-3445.136.2.217
- Jacobsen, L. K., Mencl, W. E., Constable, R. T., Westerveld, M., & Pugh, K. R. (2007). Impact of smoking abstinence on working memory neurocircuitry in adolescent daily tobacco smokers. Psychopharmacology, 193(4), 557–566. https://doi.org/10.1007/s00213-007-0797-9
- Johnson, K. E., McMorris, B. J., & Kubik, M. Y. (2013). Comparison of health-risk behaviors among students attending alternative and traditional high schools in Minnesota. The Journal of School Nursing: The Official Publication of the National Association of School Nurses, 29(5), 343–352. https://doi.org/10.1177/1059840512469409
- Kane, M. J., Hambrick, D. Z., Tuholski, S. W., Wilhelm, O., Payne, T. W., & Engle, R. W. (2004). The generality of working memory capacity: A latent-variable approach to verbal and visuospatial memory span and reasoning. Journal of Experimental Psychology: General, 133(2), 189–217. https://doi.org/10.1037/0096-3445.133.2.189
- Larsen, H., Kong, G., Becker, D., Cousijn, J., Boendermaker, W., Cavallo, D., Krishnan-Sarin, S., & Wiers, R. (2014). Implicit motivational processes underlying smoking in American and Dutch adolescents. Frontiers in Psychiatry, 5, 1–9. http://ezproxy.library.ubc.ca/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2014-31585-001&login.asp&site=ehost-live&scope=site https://doi.org/10.3389/fpsyt.2014.00051
- Martel, M., Nikolas, M., & Nigg, J. T. (2007). Executive function in adolescents with ADHD. Journal of the American Academy of Child & Adolescent Psychiatry, 46(11), 1437–1444. https://doi.org/10.1097/chi.0b013e31814cf953
- Mashhoon, Y., Betts, J., Farmer, S. L., & Lukas, S. E. (2018). Early onset tobacco cigarette smokers exhibit deficits in response inhibition and sustained attention. Drug and Alcohol Dependence, 184, 48–56. https://doi.org/1016/j.drugalcdep.2017.11.020
- Newcomb, M., & Earleywine, M. (1996). Intrapersonal contributors to drug use: The willing host. American Behavioral Scientist, 39(7), 823–837. https://doi.org/10.1177/0002764296039007005
- Pentz, M. A., Shin, H., Riggs, N., Unger, J. B., Collison, K. L., & Chou, C. P. (2015). Parent, peer, and executive function relationships to early adolescent e-cigarette use: A substance use pathway? Addictive Behaviors, 42, 73–78. https://doi.org/10.1016/j.addbeh.2014.10.040
- Pepper, J. K., Reiter, P. L., McRee, A. L., Cameron, L. D., Gilkey, M. B., & Brewer, N. T. (2013). Adolescent males’ awareness of and willingness to try electronic cigarettes. Journal of Adolescent Health, 52(2), 144–150. https://doi.org/10.1016/j.jadohealth.2012.09.014
- Pickering, S., & Gathercole, S. E. (2001). Working memory test battery for children (WMTB-C). Psychological Corporation.
- Pierce, J., Choi, W., Gilpin, E., Farkas, A., & Merritt, R. (1996). Validation of susceptibility as a predictor of which adolescents take up smoking in the United States. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 15(5), 355–361. https://doi.org/10.1037/0278-6133.15.5.355
- Pierce, J., Farkas, A., Evans, N., & Gilpin, E. (1995). An improved surveillance measure for adolescent smoking? Tobacco Control, 4(Suppl 1), S47–S56. https://doi.org/10.1136/tc.4.suppl1.S47
- Pike, J. R., Tan, N., Miller, S., Cappelli, C., Xie, B., & Stacy, A. W. (2019). The effect of E-cigarette commercials on youth smoking: A prospective study. American Journal of Health Behavior, 43(6), 1103–1118. https://doi.org/10.5993/ajhb.43.6.8
- Redick, T. S., Broadway, J. M., Meier, M. E., Kuriakose, P. S., Unsworth, N., Kane, M. J., & Engle, R. W. (2012). Measuring working memory capacity with automated complex span tasks. European Journal of Psychological Assessment, 28(3), 164–171. https://doi.org/10.1027/1015-5759/a000123
- Roberts, W., Fillmore, M. T., & Milich, R. (2011). Linking impulsivity and inhibitory control using manual and oculomotor response inhibition tasks. Acta Psychologica, 138(3), 419–428. https://doi.org/10.1016/j.actpsy.2011.09.002
- Sylvestre, M. P., Hanusaik, N., Berger, D., Dugas, E., Pbert, L., Winickoff, J., & O’Loughlin, J. L. (2018). A tool to identify adolescents at risk of cigarette smoking initiation. Pediatrics, 142(5), e20173701–10. https://doi.org/10.1542/peds.2017-3701
- Spinella, M. (2002). Correlations between orbitofrontal dysfunction and tobacco smoking. Addiction Biology, 7(4), 381–384. doi: 10.1080/135562102100000596
- U.S. Department of Health and Human Services. (2014). The health consequences of smoking—50 years of progress: A report of the surgeon general. 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.
- U.S. Department of Health and Human Services. (2016). E-cigarette use among youth and young adults: A report of the surgeon general. U.S. Department of Health and Human Services, U.S. Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health.
- Vaughn, M. G., & King, K. M. (2016). Premeditation and sensation seeking moderate the reasoned action and social reaction pathways in the prototype/willingness model of alcohol use. Substance Use & Misuse, 51(6), 711–721. https://doi.org/10.3109/10826084.2016.1152500
- Wakefield, M., Kloska, D. D., O’Malley, P. M., Johnston, L. D., Chaloupka, F., Pierce, J., Giovino, G., Ruel, E., & Flay, B. R. (2004). The role of smoking intentions in predicting future smoking among youth: Findings from monitoring the future data. Addiction (Abingdon, England), 99(7), 914–922. https://doi.org/10.1111/j.1360-0443.2004.00742.x
- Zeileis, A., Kleiber, C., & Jackman, S. (2008). Regression models for count data in R. Journal of Statistical Software, 27(8), 1–25. http://www.jstatsoft.org/v27/i08/. https://doi.org/10.18637/jss.v027.i08
- Zuckerman, M., Kuhlman, D. M., Joireman, J., Teta, P., & Kraft, M. (1993). A comparison of three structural models for personality: The big three, the big five, and the alternative five. Journal of Personality and Social Psychology, 65, 757–768. https://doi.org/10.1037/0022-3514.65.4.757