Using risk terrain modeling and geographically-explicit ecological momentary assessments to examine alcohol use in adults experiencing homelessness
Adults experiencing homelessness (AEH) are more likely to engage in risky alcohol use compared to adults in the general population. Nonetheless, relatively little is known about the naturalistic settings of alcohol use among AEH. We integrate risk terrain modeling (RTM) with geographically-explicit...
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Beteiligte: | ; ; ; ; |
Medienart: | Elektronisch Aufsatz |
Sprache: | Englisch |
Veröffentlicht: |
2025
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In: |
Journal of crime and justice
Jahr: 2025, Band: 48, Heft: 2, Seiten: 176-189 |
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Volltext (lizenzpflichtig) |
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MARC
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520 | |a Adults experiencing homelessness (AEH) are more likely to engage in risky alcohol use compared to adults in the general population. Nonetheless, relatively little is known about the naturalistic settings of alcohol use among AEH. We integrate risk terrain modeling (RTM) with geographically-explicit ecological momentary assessments (GEMAs) to identify the environmental characteristics of drinking locations among AEH in Dallas, Texas. Participants were given a study-provided smartphone pre-installed with the InsightTM application and instructed to self-initiate a GEMA when they were about to consume their first drink of the day over the duration of four weeks. Participants who used this app feature to report alcohol use were included in the analytic sample (N = 22). RTMs estimated the spatial influence of environmental features associated with alcohol availability and risky community features located in the city limits of Dallas, as well as in downtown Dallas. Across the City-Wide and Central Division analyses, proximity to food banks/shelters and public libraries are spatially associated with event locations of AEH alcohol use. Clusters of liquor stores and grocery stores are also significantly related to alcohol event locations. Findings provide insight into the geographical context of alcohol use among AEH and have implications for researchers and practitioners. | ||
650 | 4 | |a Geographically-explicit EMA (GEMA) | |
650 | 4 | |a Risk Terrain Modeling | |
650 | 4 | |a Homelessness | |
650 | 4 | |a Alcohol use | |
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