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      Prioritization of carceral spending in U.S. cities: Development of the Carceral Resource Index (CRI) and the role of race and income inequality

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          Abstract

          Background

          Policing, corrections, and other carceral institutions are under scrutiny for driving health harms, while receiving disproportionate resources at the expense of prevention and other services. Amidst renewed interest in structural determinants of health, roles of race and class in shaping government investment priorities are poorly understood.

          Methods

          Based on the Social Conflict Model, we assessed relationships between city racial/ economic profiles measured by the Index of Concentration at the Extremes (ICE) and budgetary priorities measured by the novel Carceral Resource Index (CRI), contrasting investments in carceral systems with funding for health and social support across the 50 most populous cities in the United States (U.S.). Bivariate correlations, and unadjusted and adjusted polynomial regression models were used to assess the relationship between budgetary investments and population concentration at extremes in terms of income, racial/ethnic composition, and education, controlling for other demographic characteristics.

          Results

          In our sample, median CRI was -0.59 (IQR -0.64, -0.45), with only seven cities exhibiting positive CRI values. This indicates that most large U.S. cities spend more on carceral systems than on health and supportive services, combined. Adjusted polynomial models showed a convex relationship between the CRI and ICE-Education, and ICE-Race(White vs. Black)+Income, with quadratic terms that were positive and significant at p<0.05. After controlling for age, the strongest prioritization of carceral systems was observed in cities where the proportion of low-income Black residents approached or exceeded that of high-income white residents.

          Conclusions

          Municipal prioritization of carceral investments over health and social support is pervasive in the U.S and exacerbated by racial and economic disparities. The CRI offers new opportunities to understand the role of government investments as a structural determinant of health and safety. Longitudinal research is warranted to examine the relationship between budget priorities, structural racism, and health outcomes.

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          Most cited references37

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          Crime and Punishment: An Economic Approach

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            The table 2 fallacy: presenting and interpreting confounder and modifier coefficients.

            It is common to present multiple adjusted effect estimates from a single model in a single table. For example, a table might show odds ratios for one or more exposures and also for several confounders from a single logistic regression. This can lead to mistaken interpretations of these estimates. We use causal diagrams to display the sources of the problems. Presentation of exposure and confounder effect estimates from a single model may lead to several interpretative difficulties, inviting confusion of direct-effect estimates with total-effect estimates for covariates in the model. These effect estimates may also be confounded even though the effect estimate for the main exposure is not confounded. Interpretation of these effect estimates is further complicated by heterogeneity (variation, modification) of the exposure effect measure across covariate levels. We offer suggestions to limit potential misunderstandings when multiple effect estimates are presented, including precise distinction between total and direct effect measures from a single model, and use of multiple models tailored to yield total-effect estimates for covariates.
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              Public Health Monitoring of Privilege and Deprivation With the Index of Concentration at the Extremes.

              We evaluated use of the Index of Concentration at the Extremes (ICE) for public health monitoring.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Visualization
                Role: Data curationRole: MethodologyRole: Project administration
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administration
                Role: Data curationRole: InvestigationRole: Validation
                Role: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 December 2022
                2022
                : 17
                : 12
                : e0276818
                Affiliations
                [1 ] Division of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, United States of America
                [2 ] Yale School of Public Health, Public Health Modeling Unit, Yale University, New Haven, CT, United States of America
                [3 ] Health in Justice Action Lab, School of Law and Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States of America
                University of North Carolina at Chapel Hill, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-8780-3612
                https://orcid.org/0000-0002-3468-2674
                https://orcid.org/0000-0002-5789-9841
                Article
                PONE-D-22-04208
                10.1371/journal.pone.0276818
                9754598
                36520883
                912c1493-c094-4c98-8a0f-2676868a5ae6
                © 2022 Skaathun et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 February 2022
                : 13 October 2022
                Page count
                Figures: 5, Tables: 4, Pages: 17
                Funding
                Funded by: Vital Projects Fund
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000026, National Institute on Drug Abuse;
                Award ID: K01DA049665
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000026, National Institute on Drug Abuse;
                Award ID: DP2DA049282
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000026, National Institute on Drug Abuse;
                Award ID: R37DA15612
                Award Recipient :
                This research was supported by grants from the Vital Projects Fund (Dr. Beletsky), and the National Institutes of Health, K01DA049665 (Dr. Skaathun), DP2DA049282 (Dr. Gonsalves), R37DA15612 (Dr. Gonsalves). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Earth Sciences
                Geography
                Human Geography
                Urban Geography
                Cities
                Social Sciences
                Human Geography
                Urban Geography
                Cities
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Traumatic Injury Risk Factors
                Violent Crime
                Medicine and Health Sciences
                Public and Occupational Health
                Traumatic Injury Risk Factors
                Violent Crime
                Social Sciences
                Sociology
                Criminology
                Crime
                Violent Crime
                Social Sciences
                Law and Legal Sciences
                Criminal Justice System
                Law Enforcement
                Police
                People and Places
                Population Groupings
                Professions
                Police
                Physical Sciences
                Mathematics
                Algebra
                Polynomials
                Social Sciences
                Economics
                Health Economics
                Medicine and Health Sciences
                Health Care
                Health Economics
                Social Sciences
                Economics
                Finance
                Financial Management
                Budgets
                Social Sciences
                Law and Legal Sciences
                Criminal Justice System
                Law Enforcement
                Policing
                Earth Sciences
                Geography
                Human Geography
                Housing
                Social Sciences
                Human Geography
                Housing
                Custom metadata
                The data underlying the results presented in the study are available from https://carceral-resource-index.herokuapp.com/.

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                Uncategorized

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