Journal of urban health : bulletin of the New York Academy of Medicine
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U. S. Immigration and Customs Enforcement (ICE) issues detainer requests to local law enforcement agencies to hold detainees suspected of being undocumented immigrants until they can be transferred into ICE custody. ⋯ We fit logistic regression models of self-rated fair/poor health on detainer requests, adjusted for individual- and area-level confounders. In adjusted analyses, we found that Latine adults living in areas with the highest quartile of requests had 24% higher odds of fair/poor health (OR 1.24, 95% CI = 1.05,1.47) relative to those in the lowest quartile. Local law enforcement agencies should limit cooperation with federal immigrant agencies to protect the health of Latine communities.
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Gun-related crime continues to be an urgent public health and safety problem in cities across the US. A key question is: how are firearms diverted from the legal retail market into the hands of gun offenders? With close to 8 million legal firearm transaction records in California (2010-2020) linked to over 380,000 records of recovered crime guns (2010-2021), we employ supervised machine learning to predict which firearms are used in crimes shortly after purchase. Specifically, using random forest (RF) with stratified under-sampling, we predict any crime gun recovery within a year (0.2% of transactions) and violent crime gun recovery within a year (0.03% of transactions). ⋯ Among transactions identified as extremely risky, e.g., transactions with a score of 0.98 and above, 74% (35/47 in the test data) are recovered within a year. The most important predictive features include purchaser age and caliber size. This study suggests the potential utility of transaction records combined with machine learning to identify firearms at the highest risk for diversion and criminal use soon after purchase.
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Racially restrictive covenants in housing deeds, commonplace in Minnesota for houses built from the 1910s to the 1950s, provided a foundation for the myriad of policies that made it difficult for people of color to obtain housing. Though covenants were ruled illegal in 1968, their legacy continues to shape neighborhoods. The Mapping Prejudice Project's efforts in Hennepin County, Minnesota, produced the first systematic documentation of racially restrictive covenants. ⋯ Additionally, previously covenanted neighborhoods have less upward mobility for children from poorer households, and there are larger gaps in upward mobility between white and Black children. These findings contribute to a growing literature that shows racist policies, even decades after they are legally enforceable, leave an imprint on neighborhoods. Using the novel data from the Mapping Prejudice Project, we provide statistical analysis that confirms qualitative and anecdotal evidence on the role of racial covenants in shaping neighborhoods.
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While mobility in older age is of crucial importance for health and well-being, it is worth noting that currently, there is no German language framework for measuring walkability for older adults that also considers the functional status of a person. Therefore, we combined the results of an expert workshop, a literature review, and a Delphi consensus survey. Through this, we identified and rated indicators relevant for walkability for older adults, additionally focusing on their functional status. ⋯ The Delphi process resulted in a list of 72 indicators deemed relevant for walkability in older age groups, grouped into three main categories: "Built environment and transport infrastructure," "Accessibility and meeting places," and "Attractiveness and sense of security." For 35 of those indicators, it was suggested that functional status should be additionally considered. This framework represents a significant step forward in comprehensively covering indicators for subjective and objective walkability in older age, while also incorporating aspects of functioning relevant to older adults. It would be beneficial to test and apply the indicator set in a community setting.