Alcohol, Tobacco, and Other Drug Use
Methodology Center researchers conducted several empirical analyses of drug abuse data using TVEM. Methodology Center researchers have modeled, for example, changes over time in the relationships between negative affect, smoking self-efficacy, and urge to smoke.
Mason, M., Mennis, J., Way, T., Lanza, S., Russell, M., & Zaharakis, N. (2015). Time-varying effects of a text-based smoking cessation intervention for urban adolescents. Drug and Alcohol Dependence, 157, 99-105.
Selya, A. S., Dierker, L. C., Rose, J. S., Hedeker, D., Tan, X., Li, R., & Mermelstein, R.J. (2013). Time-varying effects of smoking quantity and nicotine dependence on adolescent smoking regularity. Drug and Alcohol Dependence, 128, 230-237. PMCID: PMC3538104
Lanza, S. T., Vasilenko, S., Liu, X., Li, R., & Piper, M. (2013). Advancing the understanding of craving during smoking cessation attempts: A demonstration of the time-varying effect model. Nicotine and Tobacco Research, 16, S127-134.
Lanza, S. T., Russell, M. A., & Braymiller, J. (2017). Emergence of Electronic Cigarette Use in US adolescents and the link to traditional cigarette use. Addictive Behaviors. 67, 38-43.
Lanza, S. T., Vasilenko, S. A., & Russell, M. A., (2016). Time-varying effect modeling to address new questions in behavioral research: Examples in marijuana use.Psychology of Addictive Behaviors. Advance online publication. doi: 10.1037/adb0000208
Linden‐Carmichael, A. N., Vasilenko, S. A., Lanza, S. T., & Maggs, J. L. (2017). High‐intensity drinking versus heavy episodic drinking: Prevalence rates and relative odds of alcohol use disorder across adulthood. Alcoholism: Clinical and Experimental Research. Advance Online Publication. doi: 10.1111/acer.13475
Liu, X., Li, R., Lanza, S.T., Vasilenko, S., & Piper, M. (2013). Understanding the role of cessation fatigue in the smoking cessation process.Drug and Alcohol Dependence, 133, 548 – 555.
Shiyko, M. P., Lanza, S. T., Tan, X., Li, R. and Shiffman, S. (2012). Using the time-varying effect model (TVEM) to examine dynamic associations between negative affect and self confidence on smoking urges: differences between successful quitters and relapsers. Prevention Science. doi: 10.1007/s11121-011-0264-z
Vasilenko, S. A., Evans-Polce, R. J., & Lanza, S. T. (2017). Age trends in rates of substance use disorders across ages 18-90: Differences by gender and race/ethnicity. Drug and Alcohol Dependence.
Sexual Risk and HIV
Methodology Center researchers have applied TVEM to data collected in sexual risk and HIV studies. Early research (from 2004 – 2007) demonstrated the possibilities of these analyses. More recent papers are providing insights in this field.
Vasilenko, S. A. (2017). Age-varying associations between non-marital sexual behavior and depressive symptoms across adolescence and young adulthood. Developmental Psychology. 53, 366-378. doi: 10.1037/dev0000229
Vasilenko, S. A., Kugler, K. C., & Rice, C. E. (2016). Timing of first sexual intercourse and young adult health outcomes. Journal of Adolescent Health, 59, 291-297. doi: 10.1016/j.jadohealth.2016.04.019
Vasilenko, S. A., & Lanza, S. T. (2014). Predictors of multiple sexual partners from adolescence through young adulthood. Journal of Adolescent Health, 56, 491-497.
Vasilenko, S. A., Linden-Carmichael, A., Lanza, S. T. & Patrick. M. E. (2017). Sexual behavior and heavy episodic drinking across the transition to adulthood: Differences by college attendance. Journal of Research on Adolescence.