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1.
Drug Alcohol Depend ; 132(1-2): 202-6, 2013 Sep 01.
Article in English | MEDLINE | ID: mdl-23474200

ABSTRACT

BACKGROUND: While scholarship on alcohol use and homelessness has focused on the impact of alcohol abuse and dependence, little is known about the effects of lower levels of misuse such as hazardous use. Veterans receiving care in the Department of Veterans Affairs Health Care System (VA) constitute a population that is vulnerable to alcohol misuse and homelessness. This research examines the effects of hazardous drinking on homelessness in the Veterans Aging Cohort Study, a sample of 2898 older veterans (mean age=50.2), receiving care in 8 VAs across the country. METHODS: Logistic regression models examined the associations between (1) hazardous drinking at baseline and homelessness at 1-year follow-up, (2) transitions into and out of hazardous drinking from baseline to follow-up and homelessness at follow-up, and (3) transitioning to hazardous drinking and transitioning to homelessness from baseline to follow-up during that same time-period. RESULTS: After controlling for other correlates including alcohol dependence, hazardous drinking at baseline increased the risk of homelessness at follow-up (adjusted odds ratio [AOR]=1.39, 95% confidence interval [CI]=1.02, 1.88). Transitioning to hazardous drinking more than doubled the risk of homelessness at follow-up (AOR=2.42, 95% CI=1.41, 4.15), while more than doubling the risk of transitioning from being housed at baseline to being homeless at follow-up (AOR=2.49, 95% CI=1.30, 4.79). CONCLUSIONS: Early intervention that seeks to prevent transitioning into hazardous drinking could increase housing stability among veterans. Brief interventions which have been shown to be effective at lower levels of alcohol use should be implemented with veterans in VA care.


Subject(s)
Alcoholism/epidemiology , Alcoholism/psychology , Ill-Housed Persons/psychology , Veterans/psychology , Adult , Aged , Aged, 80 and over , Cohort Studies , Data Interpretation, Statistical , Female , HIV Infections/complications , Humans , Logistic Models , Longitudinal Studies , Male , Middle Aged , Odds Ratio , Poverty , Prognosis , United States , United States Department of Veterans Affairs , Young Adult
2.
Public Health Rep ; 116(4): 344-52, 2001.
Article in English | MEDLINE | ID: mdl-12037263

ABSTRACT

OBJECTIVES: This study reports findings from the first-ever systematic enumeration of homeless population size using data previously collected from administrative records of homeless services providers in nine US jurisdictions over a one year period. As such, it provides the basis for establishing an ongoing measure of the parameters of the homeless population and for tracking related trends on the use of homeless services over time. METHODS: Each participating jurisdiction collected data through its homeless services management information systems for persons and families who use emergency shelter and transitional housing. The jurisdictions organized the data by a standardized reporting format. These data form the basis for reporting homeless population size, both in raw numbers and as adjusted for each jurisdiction's overall population size, as well as the rate of turnover and average annual length of stay in emergency shelters and transitional housing. RESULTS: Individual jurisdictions had annual rates of sheltered homelessness ranging from 0.1% to 2.1% of their overall population, and 1.3% to 10.2% of their poverty population. Annual population size was 2.5 to 10.2 times greater than the point-prevalent population size. Results are broken down for adults and families. CONCLUSIONS: The prevalence of homelessness varies greatly among the jurisdictions included in this study, and possible factors for this diversity are discussed. Future reports of this nature will furnish similar series of homeless enumerations across a growing number of jurisdictions, thereby providing a basis for exploring the effects of different contextual factors on local prevalence rates of homelessness.


Subject(s)
Data Collection/methods , Demography , Housing/statistics & numerical data , Ill-Housed Persons/statistics & numerical data , Population , Adult , Bed Occupancy/statistics & numerical data , Child , Database Management Systems , Family Characteristics , Humans , Management Information Systems , Prevalence , United States
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