This is a Mentored Scientist Development Award application to develop and evaluate statistical methods for characterizing developmental courses of alcohol use in late adolescence and young adulthood and also to identify critical background and dynamic risk factors and comorbid conditions associated with heavy drinking. The training goals, which will be met through an active mentored research plan as well as formal coursework, seminars, self-directed readings, and workshops, are threefold: (1) to increase knowledge in the area of alcohol studies from the perspectives of descriptive and experimental psychopathology, (2) to acquire advanced skills in longitudinal methodology with an emphasis on developing proficiency in the foundations of basic statistics, and (3) to receive training in the collection, management, and analysis of daily process studies, including interval-, signal-, and event-contingent sampling.
The aim of the proposed research project is to characterize developmental courses of alcohol use and to examine fixed and time-varying risk factors that are associated with membership in maladaptive drinking trajectories. Although newly emergent methodology is available to identify developmental courses and to examine the influence of risk factors on these courses, extant research in the field rarely exploits this methodology. Data from three multi-wave (at least 5 waves) panel datasets assessing drinking in adolescents and young adults will be used to systematically explore and refine these methodological tools. In addition, although analysis of prospective panel data is useful for demonstrating general tendencies and causal associations over long intervals, their nature precludes fine-grained analysis of drinking patterns and can obscure variation in individual patterns and the nature of short-term, unidirectional and reciprocal influence processes. Thus, daily process methods, which serve as a paradigm for studying psychological processes by examining ongoing experience in everyday life, also will be used. One of the planned studies will utilize daily interval sampling to assess drinking, smoking, mood, and stress levels in a sample of 100 college students over a ten-week period. Future work will include signal- and event-contingent sampling, which improves the temporal resolution of models studying bivariate and multivariate relations. The daily process study will have a particular emphasis on understanding the mechanisms that underlie alcohol-tobacco comorbidity. These investigations will yield substantive contributions related to the etiology and course of pathological drinking, methodological contributions in the area of longitudinal data analysis, and """"""""translational"""""""" contributions disseminating these methodological developments to researchers in the alcohol field.
|Jackson, Kristina M; Janssen, Tim; Gabrielli, Joy (2018) Media/Marketing Influences on Adolescent and Young Adult Substance Abuse. Curr Addict Rep 5:146-157|
|Sokolovsky, Alexander W; Janssen, Tim; Barnett, Nancy P et al. (2018) Adolescent recanting of alcohol use: A longitudinal investigation of time-varying intra-individual predictors. Drug Alcohol Depend 193:83-90|
|Janssen, Tim; Cox, Melissa J; Stoolmiller, Mike et al. (2018) The Role of Sensation Seeking and R-rated Movie Watching in Early Substance Use Initiation. J Youth Adolesc 47:991-1006|
|Micalizzi, Lauren; Sokolovsky, Alexander W; Janssen, Tim et al. (2018) Parental Social Support and Sources of Knowledge Interact to Predict Children's Externalizing Behavior Over Time. J Youth Adolesc :|
|Murphy, Cara M; Janssen, Tim; Colby, Suzanne M et al. (2018) Low Self-Esteem for Physical Appearance Mediates the Effect of Body Mass Index on Smoking Initiation Among Adolescents. J Pediatr Psychol :|
|Janssen, Tim; Cox, Melissa J; Merrill, Jennifer E et al. (2018) Peer norms and susceptibility mediate the effect of movie alcohol exposure on alcohol initiation in adolescents. Psychol Addict Behav 32:442-455|
|Janssen, Tim; Treloar Padovano, Hayley; Merrill, Jennifer E et al. (2018) Developmental relations between alcohol expectancies and social norms in predicting alcohol onset. Dev Psychol 54:281-292|
|Lechner, William V; Murphy, Cara M; Colby, Suzanne M et al. (2018) Cognitive risk factors of electronic and combustible cigarette use in adolescents. Addict Behav 82:182-188|
|Gottfredson, Nisha C; Sterba, Sonya K; Jackson, Kristina M (2017) Explicating the Conditions Under Which Multilevel Multiple Imputation Mitigates Bias Resulting from Random Coefficient-Dependent Missing Longitudinal Data. Prev Sci 18:12-19|
|Merrill, Jennifer E; Martin, Scott; Abar, Caitlin C et al. (2016) Trajectories and correlates of reasons for abstaining or limiting drinking during adolescence. Addict Behav 52:1-7|
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