Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/15472
Appears in Collections:Faculty of Social Sciences Journal Articles
Peer Review Status: Refereed
Title: A Longitudinal Population-Based Study of Factors in Adolescence Predicting Homelessness in Young Adulthood
Author(s): van den Bree, Marianne M B
Shelton, Katherine
Bonner, Adrian
Moss, Sebastian
Thomas, Hollie
Taylor, Pamela
Contact Email: adrian.bonner@stir.ac.uk
Keywords: Homeless
Population-based
Longitudinal
Adolescence
Young adulthood
Family
Victimization
School adjustment
Substance use
USA
Homeless youth Services for
Homelessness
Issue Date: Dec-2009
Date Deposited: 13-Jun-2013
Citation: van den Bree MMB, Shelton K, Bonner A, Moss S, Thomas H & Taylor P (2009) A Longitudinal Population-Based Study of Factors in Adolescence Predicting Homelessness in Young Adulthood. Journal of Adolescent Health, 45 (6), pp. 571-578. https://doi.org/10.1016/j.jadohealth.2009.03.027
Abstract: Purpose: Almost everything known about risk factors for homelessness is based on cross-sectional studies of non-random samples. Furthermore, most studies have focused on a small number of risk factors and have not evaluated their relative importance. Our aim was to examine which factors, in a population-based sample of adolescents, independently predict homelessness in young adults. Methods: Participants (n = 10,433) in the US National Longitudinal Study of Adolescent Health (Add Health) were initially selected through systematic random sampling of US high schools. Interviews were conducted at home in 1994-1995 when the participants were 11-18 years of age and again in 2001 when participants were 18-28 years of age. We examined the relationships between a range of risk factors reported in adolescence (mood-related problems, substance involvement, delinquency, personality, quality of family relations, neighborhood quality, school adjustment, religious affiliation, perpetration of violence, and experiences of victimization) and experiences of homelessness reported in young adulthood, using regression analysis. Results: Each risk factor predicted homelessness. However, only family relationship quality (odds ratio [OR] = .79, 95% confidence interval [CI] = .69-.90), school adjustment problems (OR = 1.57, 95% CI = 1.35-1.82), and experiences of victimization (OR = 1.27, 95% CI = 1.11-1.45) were found to independently predict homelessness. Conclusions: Among a range of well-established risk factors, a troubled family background, school adjustment problems and experiences of victimization were found to be the strongest predictors of homelessness in a general population of young people. Our findings suggest possibilities for the early identification of young persons at risk for homelessness through schools, agencies offering family-based support, and clinical services.
DOI Link: 10.1016/j.jadohealth.2009.03.027
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