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Background: Housing instability has been associated with poor health outcomes among people who inject drugs (PWID). This study investigates the associations of local-level housing and economic conditions with homelessness among a large sample of PWID, which is an underexplored topic to date.
Methods: PWID in this cross-sectional study were recruited from 19 large cities in the USA as part of National HIV Behavioral Surveillance. PWID provided self-reported information on demographics, behaviours and life events. Homelessness was defined as residing on the street, in a shelter, in a single room occupancy hotel, or in a car or temporarily residing with friends or relatives any time in the past year. Data on county-level rental housing unaffordability and demand for assisted housing units, and ZIP code-level gentrification (eg, index of percent increases in non-Hispanic white residents, household income, gross rent from 1990 to 2009) and economic deprivation were collected from the US Census Bureau and Department of Housing and Urban Development. Multilevel models evaluated the associations of local economic and housing characteristics with homelessness.
Results: Sixty percent (5394/8992) of the participants reported homelessness in the past year. The multivariable model demonstrated that PWID living in ZIP codes with higher levels of gentrification had higher odds of homelessness in the past year (gentrification: adjusted OR=1.11, 95% CI=1.04 to 1.17).
Conclusions: Additional research is needed to determine the mechanisms through which gentrification increases homelessness among PWID to develop appropriate community-level interventions.
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http://dx.doi.org/10.1136/bmjopen-2016-013823 | DOI Listing |
JAMA Health Forum
September 2025
Fitzhugh Mullan Institute for Health Workforce Equity, Milken Institute School of Public Health, George Washington University, Washington, DC.
Importance: The concentration of poverty and multidimensional disadvantage has been shown to limit access to health care in these communities. There is a growing interest in using area-level socioeconomic indexes to address the unequal geographic distribution of health care resources. However, the association of area-level socioeconomic indexes with access to primary care-a key area in health policy-has not been determined.
View Article and Find Full Text PDFHum Reprod
September 2025
Boston IVF-IVIRMA Global Research Alliance, Waltham, MA, USA.
Study Question: Does exposure to fine particulate matter (PM2.5) impact sperm DNA fragmentation?
Summary Answer: Higher PM2.5 exposure was associated with increased sperm DNA fragmentation, with greater effects observed in men of lower socioeconomic status (SES).
J Am Heart Assoc
September 2025
Gangarosa Department of Environmental Health, Rollins School of Public Health Emory University Atlanta GA USA.
Background: The impact of short-term exposure to fine particulate matter with a diameter ≤2.5 μm (PM) due to wildland fire smoke on the risk of cardiovascular disease (CVD) remains unclear. We investigated the association between short-term exposure to wildfire smoke PM and emergency department visits for acute CVD in the western United States from 2007 to 2018.
View Article and Find Full Text PDFJ Asthma
September 2025
Department of Pediatrics, Allergy & Immunology Division, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Objectives: Incorporating social determinants of health to identify distinct pediatric asthma patient groups can help stratify populations by their risk of adverse events, improving targeted outreach and care.
Methods: Insurance claims and enrollment data from the Arkansas All-Payer Claims Database identified 22 169 children aged 5-18 years with an asthma diagnosis in 2018 and continuous Medicaid enrollment in 2018 and 2019. The clustering approach used information on comorbid conditions, asthma controller medication intensity, total controller and reliever medications filled, zip code-level Child Opportunity Index, and rural-urban classification.
Health Econ Rev
August 2025
Department of Economics, Yale University, 30 Hillhouse Ave., New Haven, CT, 06511, USA.
Objective: To examine a 2018 rule change allowing pediatric providers to bill the child's Medicaid ID for post-partum depression (PPD) screening of mothers conducted during well-child visits, and document its relationship with PPD treatment and infant hospitalizations.
Study Setting And Design: Screening rates during well-child visits are calculated at the zip code level and used in linear probability and Instrumental Variable (IV) models to examine increases in screening after the policy change and relate them to PPD treatment and infant hospitalizations.
Data Sources And Analytic Sample: Individual-level Medicaid claims were used to compute PPD screening rates and measures of PPD treatment and infant hospitalization.