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      Neighborhood Police Encounters, Health, And Violence In A Southern City

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          Abstract

          The disproportionate rates of police surveillance and encounters in many communities in the US may be contributing to inequities in health and violence. Frequent policing in communities, which may often also be aggressive policing, has been associated with diminished health and well-being. This study adds to the growing body of research on this issue by examining the relationships between neighborhood police stop-and-frisk encounters and both health outcomes and violence rates in New Orleans, Louisiana, in an ecological, cross-sectional study using local police report, Centers for Disease Control and Prevention, and census data. The average rate of police stop-and-frisk encounters was more than three times higher for Black adults compared with their White counterparts. Even after we accounted for concentrated disadvantage (a high percentage of residents of lower socioeconomic status) and residential racial and income segregation, neighborhoods with higher rates of encounters had significantly higher prevalence rates of smoking, physical inactivity, and poor physical health, and they experienced significantly more violent crime (18.35 more per 1,000) and domestic violence (49.91 more per 1,000) events than neighborhoods with lower levels of police encounters. There is a need for strengthened policy focused on the relationship between frequent policing and health and violence outcomes.

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          Most cited references48

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          Neighborhoods and violent crime: a multilevel study of collective efficacy.

          It is hypothesized that collective efficacy, defined as social cohesion among neighbors combined with their willingness to intervene on behalf of the common good, is linked to reduced violence. This hypothesis was tested on a 1995 survey of 8782 residents of 343 neighborhoods in Chicago, Illinois. Multilevel analyses showed that a measure of collective efficacy yields a high between-neighborhood reliability and is negatively associated with variations in violence, when individual-level characteristics, measurement error, and prior violence are controlled. Associations of concentrated disadvantage and residential instability with violence are largely mediated by collective efficacy.
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            Police killings and their spillover effects on the mental health of black Americans: a population-based, quasi-experimental study

            Background Police kill more than 300 black Americans—at least a quarter of them unarmed—each year in the USA. These events might have spillover effects on the mental health of people not directly affected. Methods In this population-based, quasi-experimental study, we combined novel data on police killings with individual-level data from the nationally representative 2013–15 US Behavioral Risk Factor Surveillance System (BRFSS) to estimate the causal impact of police killings of unarmed black Americans on self-reported mental health of other black American adults in the US general population. The primary exposure was the number of police killings of unarmed black Americans occurring in the 3 months prior to the BRFSS interview within the same state. The primary outcome was the number of days in the previous month in which the respondent’s mental health was reported as “not good”. We estimated difference-in-differences regression models—adjusting for state-month, month-year, and interview-day fixed effects, as well as age, sex, and educational attainment. We additionally assessed the timing of effects, the specificity of the effects to black Americans, and the robustness of our findings. Findings 38 993 (weighted sample share 49%) of 103 710 black American respondents were exposed to one or more police killings of unarmed black Americans in their state of residence in the 3 months prior to the survey. Each additional police killing of an unarmed black American was associated with 0·14 additional poor mental health days (95% CI 0·07–0·22; p=0·00047) among black American respondents. The largest effects on mental health occurred in the 1–2 months after exposure, with no significant effects estimated for respondents interviewed before police killings (falsification test). Mental health impacts were not observed among white respondents and resulted only from police killings of unarmed black Americans (not unarmed white Americans or armed black Americans). Interpretation Police killings of unarmed black Americans have adverse effects on mental health among black American adults in the general population. Programmes should be implemented to decrease the frequency of police killings and to mitigate adverse mental health effects within communities when such killings do occur. Funding Robert Wood Johnson Foundation and National Institutes of Health.
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              Aggressive Policing and the Mental Health of Young Urban Men

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                Author and article information

                Contributors
                Journal
                8303128
                4064
                Health Aff (Millwood)
                Health Aff (Millwood)
                Health affairs (Project Hope)
                0278-2715
                1544-5208
                20 April 2022
                February 2022
                25 April 2022
                : 41
                : 2
                : 228-236
                Affiliations
                Tulane University, New Orleans, Louisiana.
                Tulane University.
                Tulane University.
                Tulane University.
                Tulane University.
                Tulane University.
                Author notes
                Article
                NIHMS1798824
                10.1377/hlthaff.2021.01428
                9037135
                35130074
                4474d548-08d0-4e6c-bc44-29de12e29c61

                This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt, and build upon this work, for commercial use, provided the original work is properly cited. See https://creativecommons.org/licenses/by/4.0/.

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