This Independent Scientist Award (K02) is proposed for the applicant to acquire necessary skills to apply the developmental psychopathology conceptual framework and innovative statistical techniques for categorical longitudinal data to creating a model for the relationships among alcohol use disorders (AUD) and other mental disorders in adolescence. Based on empirical findings to date, the specific hypotheses focus on antisocial disorders (i.e., conduct disorder, oppositional defiant disorder) and negative affect disorders (i.e., mood and anxiety disorders) as possible predictors, consequences, or moderators of the structure, course and consequences of adolescent AUD. The applicant, trained as a child clinical psychologist and adult psychiatrist, is the Scientific Director of the NIAAA-funded Pittsburgh Adolescent Alcohol Research Center (PAARC). The career development plan focuses on the acquisition of a thorough foundation in statistical modeling techniques and related methodological issues, including the implications of sampling strategies, missing data imputation, model selection, and controversies concerning causal inference from observational data. The applicant will learn statistical methods based on regression for modeling time-dependent relationships among continuous and categorical variables. The focus on methods for categorical variables is relevant to longitudinal research involving symptom and diagnostic categories. Relevant statistical techniques include methods for observed variables, including proportional hazards and random regression modeling and methods for latent variables, including latent class analysis, latent transition analysis, and growth mixture modeling with latent trajectory classes. Bayesian approaches to model selection and causal inference will also be considered. These methods will be specifically applied to examining the relationships among AUD, antisocial disorders, and negative affect disorders using longitudinal data from PAARC (n=1000 adolescents). Methods for evaluating the extent and the influence of sampling bias will assessed through comparison of the model generated using PAARC data with models generated with other data sets, including studies using high-risk and community sampling approaches. The integration of the concepts of developmental psychopathology with innovative longitudinal statistical modeling methods will contribute to the applicant's long-term career goal to advance research on adolescent AUD by clarifying the importance of psychopathology in determining the structure, course and consequences of adolescent alcohol abuse and dependence.

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Research Scientist Development Award - Research (K02)
Project #
1K02AA000291-01
Application #
2893705
Study Section
Health Services Research Review Subcommittee (AA)
Program Officer
Faden, Vivian B
Project Start
1999-09-01
Project End
2004-08-31
Budget Start
1999-09-01
Budget End
2000-08-31
Support Year
1
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of Pittsburgh
Department
Psychiatry
Type
Schools of Medicine
DUNS #
053785812
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Clark, Duncan B; Martin, Christopher S; Chung, Tammy et al. (2016) Screening for Underage Drinking and Diagnostic and Statistical Manual of Mental Disorders, 5th Edition Alcohol Use Disorder in Rural Primary Care Practice. J Pediatr 173:214-20
Cornelius, Jack R; Kirisci, Levent; Reynolds, Maureen et al. (2015) Does the Transmissible Liability Index (TLI) assessed in late childhood predict suicidal symptoms at young adulthood? Am J Drug Alcohol Abuse 41:264-8
Cornelius, Jack; Kirisci, Levent; Reynolds, Maureen et al. (2014) Does stress mediate the development of substance use disorders among youth transitioning to young adulthood? Am J Drug Alcohol Abuse 40:225-9
Cornelius, Jack R; Haas, Gretchen L; Goldstein, Gerald et al. (2014) The ""S"" Allele of the Serotonin Transporter Is Not Associated with Major Depression in a Sample OF Veterans. Adv Genet Res 12:1-10
Thatcher, Dawn L; Pajtek, Stefan; Tarter, Ralph et al. (2014) Amygdala Activation and Emotional Processing in Adolescents at Risk for Substance Use Disorders. J Child Adolesc Subst Abuse 23:200-204
Clark, D B; Chung, T; Pajtek, S et al. (2013) Neuroimaging methods for adolescent substance use disorder prevention science. Prev Sci 14:300-9
Cornelius, Jack R; Douaihy, Antoine B; Clark, Duncan B et al. (2013) Mirtazapine in Comorbid Major Depression and Alcohol Use Disorder: A Long-Term Follow-Up Study. J Addict Behav Ther Rehabil 3:
Cornelius, Jack R; Aizenstein, Howard J; Chung, Tammy A et al. (2013) Paradoxical Decrease in Striatal Activation on an fMRI Reward Task Following Treatment in Youth with Co-morbid Cannabis Dependence/Major Depression. Adv Psychol Res 93:123-130
Cornelius, Jack R; Kirisci, Levent (2013) Assessing TLI as a Predictor of Treatment Seeking for SUD among Youth Transitioning to Young Adulthood. Adv Psychol Res 98:85-94
Cornelius, Jack R; Douaihy, Antoine B; Kirisci, Levent et al. (2013) LONGER-TERM EFFECTIVENESS OF CBT IN TREATMENT OF COMORBID AUD/MDD ADOLESCENTS. Int J Med Biol Front 19:

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