This research project will utilize an existing database to explore protective and risk factors likely to affect depression outcomes in young adult populations. The longitudinal data set will include a sample of at-risk youth assessed over a 6.5 year period, with depressive symptoms collected at each wave and diagnoses information at baseline and a 5.5 and 6.5 year follow-up. Using Hierarchical Linear Modeling, a longitudinal model of first-level risk and protective factors related to trajectories that alleviate or exacerbate depression outcomes in young adulthood will be explored. Further, second-level moderators (e.g., family/relationship cohesion, social support, educational attainment) of the relationship between the longitudinal predictors and depression outcomes in early adolescence will be examined. The unique sample (250 homeless and 149 matched, housed youth) will allow for investigation of differences between these two' groups that have not been adequately sampled or compared to at this point in the literature. With this longitudinal database and the type of data analysis employed, the trainee will be able to fully assess trajectories of depression over the transition to adulthood. ? ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
5F31MH076455-03
Application #
7492059
Study Section
Behavioral Genetics and Epidemiology Study Section (BGES)
Program Officer
Churchill, James D
Project Start
2006-09-01
Project End
2009-08-31
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
3
Fiscal Year
2008
Total Cost
$36,193
Indirect Cost
Name
Wayne State University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
001962224
City
Detroit
State
MI
Country
United States
Zip Code
48202
Braciszewski, Jordan M; Toro, Paul A; Stout, Robert L (2016) Understanding the Attainment of Stable Housing: A Seven-Year Longitudinal Analysis of Homeless Adolescents. J Community Psychol 44:358-366