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1.
Am J Public Health ; 108(9): 1241-1248, 2018 09.
Artigo em Inglês | MEDLINE | ID: mdl-30024797

RESUMO

OBJECTIVES: To estimate the risk of mortality from police homicide by race/ethnicity and place in the United States. METHODS: We used novel data on police-involved fatalities and Bayesian models to estimate mortality risk for Black, Latino, and White men for all US counties by Census division and metropolitan area type. RESULTS: Police kill, on average, 2.8 men per day. Police were responsible for about 8% of all homicides with adult male victims between 2012 and 2018. Black men's mortality risk is between 1.9 and 2.4 deaths per 100 000 per year, Latino risk is between 0.8 and 1.2, and White risk is between 0.6 and 0.7. CONCLUSIONS: Police homicide risk is higher than suggested by official data. Black and Latino men are at higher risk for death than are White men, and these disparities vary markedly across place. Public Health Implications. Homicide reduction efforts should consider interventions to reduce the use of lethal force by police. Efforts to address unequal police violence should target places with high mortality risk.


Assuntos
Etnicidade , Homicídio , Polícia , Grupos Raciais , Teorema de Bayes , Homicídio/estatística & dados numéricos , Humanos , Aplicação da Lei , Masculino , Medição de Risco , Estados Unidos/epidemiologia
2.
J Health Soc Behav ; 63(2): 232-249, 2022 06.
Artigo em Inglês | MEDLINE | ID: mdl-35001689

RESUMO

Quantitative studies of racial health disparities often use static measures of self-reported race and conventional regression estimators, which critics argue is inconsistent with social-constructivist theories of race, racialization, and racism. We demonstrate an alternative counterfactual approach to explain how multiple racialized systems dynamically shape health over time, examining racial inequities in cardiometabolic risk in the National Longitudinal Study of Adolescent to Adult Health. This framework accounts for the dynamics of time-varying confounding and mediation that is required in operationalizing a "race" variable as part of a social process (racism) rather than a separable, individual characteristic. We decompose the observed disparity into three types of effects: a controlled direct effect ("unobserved racism"), proportions attributable to interaction ("racial discrimination"), and pure indirect effects ("emergent discrimination"). We discuss the limitations of counterfactual approaches while highlighting how they can be combined with critical theories to quantify how interlocking systems produce racial health inequities.


Assuntos
Racismo , Racismo Sistêmico , Adolescente , Adulto , Desigualdades de Saúde , Humanos , Acontecimentos que Mudam a Vida , Estudos Longitudinais
3.
Longit Life Course Stud ; 8(1): 57-74, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28781613

RESUMO

A rapidly growing literature has documented the adverse social, economic and, recently, health impacts of experiencing incarceration in the United States. Despite the insights that this work has provided in consistently documenting the deleterious effects of incarceration, little is known about the specific timing of criminal justice contact and early health consequences during the transition from adolescence to adulthood-a critical period in the life course, particularly for the development of poor health. Previous literature on the role of incarceration has also been hampered by the difficulties of parsing out the influence that incarceration exerts on health from the social and economic confounding forces that are linked to both criminal justice contact and health. This paper addresses these two gaps in the literature by examining the association between incarceration and health in the United States during the transition to adulthood, and by using an analytic approach that better isolates the association of incarceration with health from the multitude of confounders which could be alternatively driving this association. In this endeavor, we make use of variable-rich data from The National Longitudinal Study of Adolescent to Adult Health (n = 10,785) and a non-parametric Bayesian machine learning technique- Bayesian Additive Regression Trees. Our results suggest that the experience of incarceration at this stage of the life course increases the probability of depression, adversely affects the perception of general health status, but has no effect on the probability of developing hypertension in early adulthood. These findings signal that incarceration in emerging adulthood is an important stressor that can have immediate implications for mental and general health in early adulthood, and may help to explain long lasting implications incarceration has for health across the life course.

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