Homelessness remains a societal problem. Compiled evidence of predictors for becoming homeless and exiting homelessness might be used to inform policy-makers and practitioners in their work to reduce homeless-related problems. We examined individual-level predictors for becoming homeless and exiting homelessness by searching PubMed, EMBASE, PsycINFO, and Web of Science up to January 2018. Becoming homeless and exiting homelessness were the outcomes. Observational studies with comparison groups from high-income countries were included. The Newcastle Ottawa Quality Assessment Scale was used for bias assessment. Random effects models were used to calculate pooled odds ratios (ORs) with 95% confidence intervals (CIs). We included 116 independent studies of risk factors for becoming homeless and 18 for exiting homelessness. We found evidence of adverse life events as risk factors for homelessness, e.g., physical abuse (OR 2.9, 95% CI 1.8–4.4) and foster care experiences (3.7, 1.9–7.3). History of incarceration (3.6, 1.3–10.4), suicide attempt (3.6, 2.1–6.3), and psychiatric problems, especially drug use problems (2.9, 1.5–5.1), were associated with increased risk of homelessness. The heterogeneity was substantial in most analyses (I2 > 90%). Female sex (1.5, 1.1–1.9; I2 = 69%) and having a partner (1.7, 1.3–2.1; I2 = 40%) predicted higher chances whereas relationship problems (0.6, 0.5–0.8), psychotic disorders (0.4, 0.2–0.8; I2 = 0%), and drug use problems (0.7, 0.6–0.9; I2 = 0%) reduced the chances for exiting homelessness. In conclusion, sociodemographic factors, adverse life events, criminal behaviour, and psychiatric problems were individual-level predictors for becoming homeless and/or exiting homelessness. Focus on individual-level vulnerabilities and early intervention is needed. PROSPERO registration number: CRD42014013119.
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Thanks to Manon Chaine and Karl Ole Köhler-Forsberg for help with translation of French and German articles during this work.
SFN and CH led the conception and design of the study. SFN did the literature search. SFN and CH selected the studies. SFN extracted the data. SFN and CH did the quality assessment. SFN performed the analyses and interpreted data with supervision from CH and MN. SFN drafted the manuscript with critical revisions for important intellectual content from CH and MN.
This study was funded by a stipend from the University of Copenhagen and by iPSYCH – The Lundbeck Foundation Initiative for Integrated Psychiatric Research.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Forest plot of meta-analyses of predictors for becoming homeless based on studies with low risk of bias with summary estimates (PNG 283 kb)
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Forest plot of meta-analyses of predictors for exiting homelessness based on studies with low risk of bias with summary estimates (PNG 143 kb)
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Nilsson, S.F., Nordentoft, M. & Hjorthøj, C. Individual-Level Predictors for Becoming Homeless and Exiting Homelessness: a Systematic Review and Meta-analysis. J Urban Health 96, 741–750 (2019). https://doi.org/10.1007/s11524-019-00377-x