CPDD 78th Annual Scientific Meeting Program

Monday, June 13, 2016
84 Marijuana use problems predict post-college employment outcomes
K. M. Caldeira 1 , K. E. O’Grady 2 , B. A. Bugbee 1 , K. B. Vincent 1 , A. M. Arria 1 , 1 School
of Public Health, University of Maryland, College Park, MD, 2 Psychology, University of
Maryland, College Park, MD
85 Is risk of cannabis dependence lower for ‘cannabis only’ users?
K. Alcover, C. Lopez-Quintero, J. C. Anthony, Epidemiology & Biostatistics, Michigan State
University, East Lansing, MI
86 Elevated cotinine levels in recently active cannabis users absent recent cigarette or other
tobacco exposure: Unmeasured blunt or environmental sources?
B. J. Fairman 1 , O. Alshaarawy 2 , 1 Mental Health, Johns Hopkins Bloomberg School of Public
Health, Baltimore, MD, 2 Epidemiology and Biostatistics, Michigan State University, East
Lansing, MI
87 Perceived nicotine content and its association with perceived disease risks of Spectrum research
cigarettes
L. Pacek 3 , F. J. McClernon 3 , R. Denlinger 1 , M. Mercincavage 5 , A. Strasser 5 , R. Vandrey 4 ,
N. Nardone 8 , D. Hatsukami 7 , E. Donny 6 , 1 Brown University, Providence, RI, 3 Psychiatry
and Behavioral Sciences, Duke University Medical Center, Durham, NC, 4 Johns Hopkins
University, Baltimore, MD, 5 Psychiatry, University of Pennsylvania Perelman School
of Medicine, Philadelphia, PA, 6 Psychology, University of Pittsburgh, Pittsburgh, PA,
7
University of Minnesota Medical School, Minneapolis, MN, 8 University of California San
Francisco, San Francisco, CA
88 Has nicotine dependence increased among smokers in the United States? A new test of the
hardening hypothesis
R. Goodwin 1,2 , M. Wall 3 , S. Galea 5 , M. J. Zvolensky 4 , M. Gbedemah 1 , M. Hu 6 , D. S. Hasin 2 ,
1
Psychology, City University of New York, Queens, NY, 2 Epidemiology, Columbia
University, New York, NY, 3 Biostatistics, Columbia University, New York, NY, 4 Psychology,
University of Houston, Houston, TX, 5 Epidemiology, Boston University, Boston, MA,
6
Sociomedical Sciences, Columbia University, New York, NY
89 Some context for understanding the place of the GED in the relationship between educational
attainment and smoking prevalence
A. N. Kurti 2,1 , E. Klemperer 1,2,3 , I. A. Zvorsky 1,2,3 , R. Redner 1,2 , J. Priest 5,2 , S. Higgins 1,2,3 ,
1
Vermont Center on Behavior and Health, Burlington, VT, 2 Psychiatry, University
of Vermont, South Burlington, VT, 3 Psychological Science, University of Vermont,
Burlington, VT, 5 Biostatistics, University of Vermont, Burlington, VT
90 Energy drink use trajectories predict substance use outcomes
A. M. Arria 1 , K. M. Caldeira 1 , B. A. Bugbee 1 , K. B. Vincent 1 , K. E. O’Grady 2 , 1 School
of Public Health, University of Maryland, College Park, MD, 2 Psychology, University of
Maryland, College Park, MD
91 The transition to recovery: Key predictors and how they relate to aging
M. L. Dennis 1 , C. K. Scott 1 , J. G. Csernansky 2 , H. C. Breiter 2 , 1 Lighthouse Inst., Chestnut
Health Systems, Normal & Chicago, IL, 2 Department of Psychology and Behavioral Science,
Northwestern University School of Medicine, Chicago, IL
92 Life chaos among drug users and non-drug users
S. O. Lasopa, K. Vaddiparti, C. W. Striley, L. Cottler, Epidemiology, University of Florida,
Gainesville, FL
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