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Original Articles

Longitudinal Associations between Homelessness and Substance Use: Investigating Demographic Differences for Young Adults in Treatment

ORCID Icon, , & ORCID Icon
Pages 243-253 | Published online: 27 Oct 2023
 

Abstract

Objective: To examine prospective, bidirectional associations between homelessness and substance use frequency among young adults receiving substance use treatment in the United States. We also investigated potential differences across demographic subgroups. Methods: Young adults (N = 3717, Mage = 20.1, 28% female, 7.3% sexual/gender minority, and 37% non-Hispanic White) receiving substance use treatment in the U.S. completed assessments at intake, 3 months, 6 months, and 12 months post-intake. Latent growth curve models with structured residuals (LGC-SR) were used to examine cross-lagged associations between homeless days and frequency of substance use and associated problems. Models were stratified by sex, race/ethnicity, and sexual and/or gender minority status. Results: Overall, days spent homeless (μslope= −0.19, p = 0.046) and substance use frequency (μslope1= −6.19, p < 0.001) significantly decreased during treatment, with no significant cross-lagged associations between homeless days and substance use frequency. However, results differed by race and ethnicity. For non-Hispanic White young adults, greater substance use at treatment entry was associated with steeper declines in homeless days between-persons (ϕstandardized = −0.14, p = 0.04). For African Americans, homeless days at treatment entry were associated with greater increases in substance use between-persons (ϕstandardized = 0.29, p = 0.04). No significant differences were found by sex or sexual/gender minority status. Conclusions: Despite overall declines in homelessness and substance use during treatment, these outcomes may unfold differently for non-Hispanic White and African American young adults. More support may be needed for African American young adults reporting homelessness at treatment entry.

Acknowledgments

We would like to thank Michael Dennis and Kathryn Modisette at the GAIN Coordinating Center, and all of the GAIN participating sites and clients for allowing their de-identified data to be used for research purposes.

Declaration of interest

The authors have no conflicts of interest to disclose.

Data availability statement

This study uses data from the pooled national Global Appraisal of Individual Needs (GAIN) data. Pooled national GAIN data may be obtained through a data use agreement with the GAIN Coordinating Center, a division of the Lighthouse Institute, a part of Chestnut Health Systems https://gaincc.org/data-statistics/national-gain-data/. Analysis code for this study is available upon reasonable request.

Additional information

Funding

This work was supported by a grant from the National Institute of Health (F31DA053779) to Graham DiGuiseppi. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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