Stigma and health inequality experienced by ethnic minorities during the COVID-19 pandemic in a Chinese community: an implication to health policymakers.

Introduction: Ethnic minorities are considered one of the most vulnerable groups during the COVID-19 pandemic. However, the explanatory pathway of how their disadvantaged experiences during epidemics are related to the embedded and longstanding stigmas against them and how these embedded stigmas can affect their resilience in disease outbreaks are not well understood. This study investigated the experiences of ethnic minorities in the COVID-19 pandemic, and how their experiences were related to the embedded stigma toward them. Methods: This study adopted a qualitative approach, interviewed 25 individuals (13 women and 12 men) from ethnic minority groups residing in Hong Kong from August 2021 to February 2022 in a semi-structured format. Thematic analysis was conducted to analyze the data. Results: The participants were isolated and stereotyped as infectious during the COVID-19 pandemic at community and institutional levels. Their experiences did not occur suddenly during the pandemic but were embedded in the longstanding segregation and negative stereotypes toward ethnic minorities in different aspects of life before the pandemic. These negative stereotypes affected their resilience in living and coping with the pandemic. Conclusion: The participants' experiences during the COVID-19 pandemic were mostly disadvantageous and predominantly initiated by the mainstream stigmatization toward them by the local Chinese residents and government. Their disadvantaged experiences in the pandemic should be traced to the embedded social systems, imposing structural disparities for ethnic minorities when accessing social and medical resources during a pandemic. Because of the preexisting stigmatization and social seclusion of ethnic minorities in Hong Kong, the participants experienced health inequality, which stemmed from social inequality and the power differential between them and the Chinese locals. The disadvantaged situation of the participants negatively affected their resilience to the pandemic. To enable ethnic minorities better cope with future epidemics, merely providing assistance to them during an epidemic is barely adequate, but a more supportive and inclusive social system should be established for them in the long run.

Association of group-level segregation with cardiovascular health in older adults: an analysis of data from the Korean Social Life, Health, and Aging Project.

OBJECTIVES: The adverse health effects of individual-level social isolation (e.g., perceived loneliness) have been well documented in older adults. However, little is known about the impact of collective-level social isolation on health outcomes. We sought to examine the association of group-level segregation with cardiovascular health (CVH) in older adults. METHODS: From the prospective Korean Social Life, Health, and Aging Project database, we identified 528 community-dwelling older adults who were aged ≥60 years or were married to those aged ≥60 years. Participants who belonged to smaller social groups separate from the major social group were defined as group-level-segregated. The CVH score was calculated as the number of ideal non-dietary CVH metrics (0-6), as modified from the American Heart Association's Life's Simple 7. Using ordinal logistic regression models, we assessed cross-sectional and longitudinal associations between group-level segregation and CVH. RESULTS: Of the 528 participants (mean age, 71.7 years; 60.0% female), 108 (20.5%) were segregated at baseline. In the crosssectional analysis, group-level segregation was significantly associated with lower odds of having a higher CVH score at baseline after adjusting for socio-demographic factors and cognitive function (odds ratio [OR], 0.64; 95% confidence interval [CI], 0.43 to 0.95). Among 274 participants who completed an 8-year follow-up, group-level segregation at baseline was marginally associated with lower odds of having a higher CVH score at 8 years (OR, 0.49; 95% CI, 0.24 to 1.02). CONCLUSIONS: Group-level segregation was associated with worse CVH. These findings imply that the social network structure of a community may influence its members' health status.

Demographic and HIV Status Diversities as Mechanisms of Social Integration and Segregation Among Black Sexual and Gender Minorities Enrolled in a Community-Based Social Network Intervention.

Drawing on a social integration and intersectionality framework, this study advances a dynamic network understanding of the mechanisms that enable differential patterns of within-group social integration and segregation among Black sexual and gender minorities (BSGM). Specifically, in a cohort of BSGM (18-35 years of age, n = 340) participating in a community-based network intervention for HIV prevention, we examine how sexual, gender, age, and HIV status diversities contribute to friendship formation and maintenance patterns over the 12-month study enrollment period. We found attenuated social integration (or social activity) among non-gay-identified and older BSGM and evidence of social segregation (or homophily) on the basis sexual identity and age similarities. Accounting for the moderating effects of the intervention revealed that the attenuated integration of non-gay-identified and older BSGM were stronger for participants who received the peer leadership training and integration challenges were also found for transgender BSGM who received the peer leadership training. Meanwhile, BSGM living with HIV who received the peer leadership training were significantly more integrated than their counterparts in the control arm. These findings help us understand the complicated social fabric among BSGM and the dynamics that interventions for this community may have to contend with or alter.

Moderating Effects of Racial Segregation on the Associations of Cardiovascular Outcomes with Walkability in Chicago Metropolitan Area.

Cardiovascular diseases (CVDs), as the leading cause of death in the U.S., pose a disproportionate burden to racial/ethnic minorities. Walkability, as a key concept of the built environment, reflecting walking and physical activity, is associated with health behaviors that help to reduce CVDs risk. While the unequal social variation and spatial distribution inequality of the CVDs and the role of walkability in preventing CVDs have been explored, the moderating factors through which walkability affects CVDs have not been quantitatively analyzed. In this paper, the spatial statistical techniques combined with the regression model are conducted to study the distribution of the CVDs' health outcomes and factors influencing their variation in the Chicago metropolitan area. The spatial statistical results for the CVDs' health outcomes reveal that clusters of low-value incidence are concentrated in the suburban rural areas and areas on the north side of the city, while the high-value clusters are concentrated in the west and south sides of the city and areas extending beyond the western and southern city boundaries. The regression results indicate that racial segregation reduced the positive association between health outcomes and walkability, although both racial segregation and walkability factors were positively associated with CVDs' health outcomes.

Towards a new paradigm for segregation measurement in an age of big data.

Recent theoretical and methodological advances in activity space and big data provide new opportunities to study socio-spatial segregation. This review first provides an overview of the literature in terms of measurements, spatial patterns, underlying causes, and social consequences of spatial segregation. These studies are mainly place-centred and static, ignoring the segregation experience across various activity spaces due to the dynamism of movements. In response to this challenge, we highlight the work in progress toward a new paradigm for segregation studies. Specifically, this review presents how and the extent to which activity space methods can advance segregation research from a people-based perspective. It explains the requirements of mobility-based methods for quantifying the dynamics of segregation due to high movement within the urban context. It then discusses and illustrates a dynamic and multi-dimensional framework to show how big data can enhance understanding segregation by capturing individuals' spatio-temporal behaviours. The review closes with new directions and challenges for segregation research using big data.

Associação entre segregação residencial racial e mortalidade por homicídio nos municípios de Minas Gerais, Brasil / Association between racial residential segregation and homicide mortality in municipalities in Minas Gerais, Brazil

Resumo O objetivo desse artigo é avaliar a associação entre segregação residencial racial e mortalidade por homicídios em Minas Gerais (MG). Trata-se de estudo ecológico, com os municípios de MG como unidades de análise. O desfecho foi óbitos por homicídio ocorridos de 2008 a 2012 e a exposição a medida de segregação residencial índice de interação racial, estimada para 2010 a partir dos dados do censo demográfico; outras covariáveis foram renda média per capita e índice de Gini. As variáveis foram apresentadas em mapas temáticos e a associação entre elas foi investigada por modelos hierárquicos bayesianos. Houve associação negativa entre o índice de interação racial e a mortalidade por homicídios (coeficiente=-1,787; IC95%=-2,459; -1,119), em modelo ajustado pela renda per capita. Os municípios de MG com maior interação racial tiveram em média uma menor mortalidade por homicídios.

Abstract This article aims to evaluate the association between racial residential segregation and homicide mortality in the state of Minas Gerais (MG), Brazil. We conducted an ecological study in which the units of analysis were municipalities in MG. The outcome was homicide deaths between 2008 and 2012 and the exposure variable was residential segregation measured using the racial interaction index, calculated using data from the 2010 Demographic Census. The covariables were per capita family income and the Gini index. The variables were presented in tables and thematic maps and associations were measured using Bayesian hierarchical models. The results of the model adjusted for per capita family income showed a negative association between the racial interaction index and homicide mortality (coefficient=-1.787; 95%CI=-2.459; -1.119). Homicide mortality was lower in municipalities with higher levels of racial interaction.

Políticas de ampliação do acesso ao ensino superior e mudança no perfil de egressos de medicina no Brasil: um estudo transversal / Policies for expanding access to higher education and changing the profile of medical graduates in Brazil: a cross-sectional study

Resumo Este estudo avalia o impacto de políticas de ampliação do acesso ao ensino superior na redução de iniquidades no perfil dos egressos de cursos médicos no Brasil. Estudo transversal que utiliza dados do Censo da Educação Superior de 2018. Foram realizadas análises para identificar associação entre ser beneficiário da Lei de Cotas, do Programa Universidade para Todos ou do Fundo de Financiamento Estudantil e três marcadores: nascimento em município de pequeno porte, ser não-branco ou ter cursado ensino médio em escola pública. Realizamos análises utilizando teste de qui-quadrado de Pearson e análise multivariada através de regressão de Poisson. Houve associação significativa entre ser beneficiário destas políticas e ser egresso não branco, ter nascido em município de pequeno porte e ser egresso de escola pública no ensino médio. Todas as políticas apresentaram resultados de Razões de Prevalências (RP) ajustadas superiores a um e com significância estatística. A Lei de Cotas foi a política mais efetiva com RP=1,92 para ser egresso não-branco, RP=6,66 para ter estudado ensino médio em escola pública e RP=1,08 para ter nascido em município de pequeno porte. Apesar destes resultados, estes grupos continuam sub-representados nos cursos médicos e na composição da força de trabalho.

Abstract This study assesses the effectiveness of policies to expand access to higher education in reducing inequities in the profile of graduates from medical courses in Brazil. This work consists of a cross-sectional study using data from the 2018 Higher Education Census. Analyses were carried out to identify the association between being a beneficiary of the Quota Law, the University for All Program, or the Student Financing Fund and three markers: born in a small-sized municipality, being non-white, or having attended high school in a public school. Analyses were performed using Pearson's chi-square test, and multivariate analysis was conducted using Poisson regression. A significant association was found between being a beneficiary of these policies and being a non-white graduate, who was born in a small town and who had studied in a public high school. All policies presented adjusted Prevalence Ratio (PR), which demonstrated an association with statistical significance. The Quota Law was the most effective policy, with RP=1.92 for non-white graduates, RP=6.66 for having studied in a public high school, and RP=1.08 for being born in a small town. Despite these results, these groups remain underrepresented in medical courses and in the workforce.

Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas.

The notion of social segregation refers to the degrees of separation between socially different population groups. Many studies have examined spatial and residential separations among different socioeconomic or racial populations. However, with the advancement of transportation and communication technologies, people's activities and social interactions are no longer limited to their residential areas. Therefore, there is a growing necessity to investigate social segregation from a mobility perspective by analyzing people's mobility patterns. Taking advantage of crowdsourced mobility data derived from 45 million mobile devices, we innovatively quantify social segregation for the twelve most populated U.S. metropolitan statistical areas (MSAs). We analyze the mobility patterns between different communities within each MSA to assess their separations for two years. Meanwhile, we particularly explore the dynamics of social segregation impacted by the COVID-19 pandemic. The results demonstrate that New York and Washington D.C. are the most and least segregated MSA respectively among the twelve MSAs. Since the COVID-19 began, six of the twelve MSAs experienced a statistically significant increase in segregation. This study also shows that, within each MSA, the most and least vulnerable groups of communities are prone to interacting with their similar communities, indicating a higher degree of social segregation.

The Relationship between Systemic Racism, Residential Segregation, and Racial/Ethnic Disparities in COVID-19 Deaths in the United States.

Introduction: Although Black Americans are not substantially more likely to be diagnosed with COVID-19, hospitalization rates and death rates are considerably higher than for White Americans. The aim of this study was to assess the relationship between systemic racism generally, and residential segregation in particular, and racial/ethnic disparities in deaths due to COVID-19. Methods: To assess racial disparities in COVID-19 and systemic racism in US states, we calculated descriptive statistics and bivariate Pearson correlations. Using data on deaths through December 2020, we developed a weighted logistic mixed model to assess whether state-level systemic racism generally and residential segregation, in particular, predicted the probability of COVID-19 deaths among Americans, considering key sociodemographic factors. Results: Residential segregation is a stronger predictor of COVID-19 deaths among Black Americans, as compared to systemic racism more generally. Looking at the interaction between residential segregation and COVID-19 death rates by race, residential segregation is associated with negative outcomes for Black and White Americans, but disproportionately impacts Black state residents (P<.001), who have 2.14 times higher odds of dying from COVID-19 when residential segregation is increased. Conclusion: To understand and address disparities in infectious disease, researchers and public health practitioners should acknowledge how different forms of systemic racism shape health outcomes in the United States. More attention should be given to the mechanisms by which infectious disease pandemics exacerbate health disparities in areas of high residential segregation and should inform more targeted health policies. Such policy changes stand to make all American communities more resilient in the face of new and emerging infectious diseases.

Socioeconomic and Racial Segregation and COVID-19: Concentrated Disadvantage and Black Concentration in Association with COVID-19 Deaths in the USA.

INTRODUCTION: This study's objective was to examine the association of the percentage of county population residing in concentrated disadvantage and Black-concentrated census tracts with county-level confirmed COVID-19 deaths in the USA, concentrated disadvantage and Black concentration at census tract-level measure socioeconomic segregation and racial segregation, respectively. METHODS: We performed secondary data analysis using tract (N = 73,056) and county (N = 3142) level data from the US Census Bureau and other sources for the USA. Confirmed COVID-19 deaths per 100,000 population was our outcome measure. We performed mixed-effect negative binomial regression to examine the association of county population's percentage residing in concentrated disadvantage and Black-concentrated tracts with COVID-19 deaths while controlling for several other characteristics. RESULTS: For every 10% increase in the percentage of county population residing in concentrated disadvantage and Black-concentrated tracts, the rate for confirmed COVID-19 deaths per 100,000 population increases by a factor of 1.14 (mortality rate ratio [MMR] = 1.14; 95% confidence interval [CI]:1.11, 1.18) and 1.11 (MMR = 1.11; 95% CI:1.08, 1.14), respectively. These relations stayed significant in all models in further sensitivity analyses. Moreover, a joint increase in the percentage of county population residing in racial and socioeconomic segregation was associated with a much greater increase in COVID-19 deaths. CONCLUSIONS: It appears that people living in socioeconomically and racially segregated neighborhoods may be disproportionately impacted by COVID-19 deaths. Future multilevel and longitudinal studies with data at both individual and aggregated tract level can help isolate the potential impacts of the individual-level characteristics and neighborhood-level socioeconomic and racial segregation with more precision and confidence.

Social segregation and lethal police violence in the city of São Paulo, Brazil (2014-2015) / Segregação social e a violência policial letal na cidade de São Paulo, Brasil (2014-2015)

Abstract We aimed to investigate how lethal police violence (LPV) in the City of São Paulo (CSP), Brazil, is associated with socioeconomic development when we consider the victims' place of residence and the locations of the fatal injuries. The spatial distribution of lethal police violence rate (LPVR) and its association with the human development index (HDI) was investigated using the Moran's I (Global and Bivariate Local). Between 2014 and 2015 we found 403 police victims in the Health database and 794 victims in the Security Department. We found a non-random spatial distribution of the LPV considering the victim's place of residence (I=+0.12; p<0.001) and the locations where the fatal injuries were inflicted (I=+0.07; p<0.001). We found a negative association between LPVR and the HDI of the place of residence (I=-0.10; p<0.001) and a positive association between LPVR and the HDI of the locations of the fatal injuries (I=+0.02; p<0.001). The results point to different dynamics of LPV in CSP. High mortality clusters are found in areas with lower HDI, when considering the victim's address, and in areas with higher HDI, when considering the address of the violent events. LPV impacts young blacks, poorly educated residents of outskirts informing us about patterns of social segregation.

Resumo Investigamos em que medida a violência policial letal (VPL) na cidade de São Paulo, Brasil, guarda relação com desenvolvimento socioeconômico, considerando os locais de residência das vítimas e os endereços dos eventos fatais. A distribuição espacial da taxa de violência policial letal (TVPL) e sua associação com o índice de desenvolvimento humano (IDH) foi investigada por meio do Moran's I (Global e o Local Bivariado). Entre 2014 e 2015 encontramos 403 vítimas da polícia no banco de dados da Saúde e 794 no da Segurança Pública. Constatamos uma distribuição não aleatória da TVPL considerando os locais de residência das vítimas (I=+0,12; p<0,001) e os locais de encontro fatal com a polícia (I=+0,07; p<0,001). Encontramos uma associação negativa (I=-0,10; p<0,001) entre as TVPL e o IDH nos locais de residência e uma associação positiva entre as TVPL e o IDH nos endereços dos eventos fatais (I=+0,02; p<0,001). Os resultados apontam para dinâmicas distintas da VPL na CSP. Clusters de alta mortalidade foram encontrados em áreas com menor IDH, quando consideramos o endereço das vítimas, e em áreas com maior IDH, quando consideramos o endereço dos eventos fatais. A VPL impacta jovens negros, com baixa escolaridade, vivendo nas periferias, nos informando dos padrões de segregação social.

The impact of racial residential segregation on prostate cancer diagnosis and treatment.

OBJECTIVES: To examine the effects of racial residential segregation and structural racism on the diagnosis, treatment, and outcomes of patients with prostate cancer. PATIENTS AND METHODS: This retrospective cohort study examined men diagnosed with prostate cancer between 2005 and 2015. We collected data from Black and White men, aged ≥30 years, living within the 100 most populous counties participating in the Surveillance, Epidemiology, and End Results programme, a nationally representative dataset. The racial Index of Dissimilarity, a validated measure of segregation, was the primary exposure of interest. Outcomes of interest included advanced stage at diagnosis (Stage IV), surgery for localised disease (Stage I-II), and 10-year overall and cancer-specific survival. Multivariable Poisson regression analyses with robust error variance estimated the relative risk (RR) of advanced stage at diagnosis and surgery for localised disease at differing levels of segregation. Survival analysis was performed using competing hazards analysis. RESULTS: Multivariable models estimating stage at diagnosis showed that the disparities between Black and White men disappeared at low levels of segregation. Disparities in receiving surgery for localised disease persisted across all levels of segregation. In racially stratified analyses, segregation had no effect on stage at diagnosis or surgical resection for Black patients. White patients saw a 56% (RR 0.42, P < 0.001) reduced risk of presenting at advanced stage and 20% increased likelihood (RR 1.20, P < 0.001) of surgery for localised disease. Black patients in the lowest segregation areas had the lowest overall mortality, but the highest cancer-specific mortality. CONCLUSIONS: Our study provides evidence that residential segregation has a significant impact on Black-White disparities in prostate cancer, likely through improved outcomes for White patients and worse outcomes for Black patients in more segregated areas. These findings suggest that mitigating segregation and the downstream effects of socioeconomic factors could alleviate these disparities.

African Americans' Diminished Returns of Parental Education on Adolescents' Depression and Suicide in the Adolescent Brain Cognitive Development (ABCD) Study.

To investigate racial and ethnic differences in the protective effects of parental education and marital status against adolescents' depressed mood and suicidal attempts in the U.S. As proposed by the Marginalization-related Diminished Returns (MDRs), parental education generates fewer tangible outcomes for non-White compared to White families. Our existing knowledge is very limited regarding diminished returns of parental education and marital status on adolescents' depressed mood and suicidal attempts. To compare racial groups for the effects of parental education and marital status on adolescents' depressed mood and suicidal attempt. This cross-sectional study included 7076 non-Hispanic White or African American 8-11 years old adolescents from the Adolescent Brain Cognitive Development (ABCD) study. The independent variables were parental education and marital status. The main outcomes were depressed mood and suicidal attempts based on parents' reports using the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS). Age and gender were the covariates. Race was the moderator. Logistic regression was used to analyze the ABCD data. Overall, parental education was associated with lower odds of depressed mood (OR = 0.81; 95% CI = 0.67-0.99; p = 0.037) and having married parents was associated with lower odds of suicidal attempts (OR = 0.50; 95% CI = 0.28-0.91; p = 0.022). In the pooled sample, we found interaction terms between race with parental education and marital status on the outcomes, suggesting that the protective effect of having married parents against depressed mood (OR = 1.54; 95% CI = 1.00-2.37; p = 0.048) and the protective effect of having married parents against suicidal attempts (OR = 6.62; 95% CI = 2.21-19.86; p =0.001) are weaker for African Americans when compared to Whites. The protective effects of parent education and marital status against depressed mood and suicidal attempts are diminished for African American adolescents compared to White adolescents. There is a need for programs and interventions that equalize not only socioeconomic status (SES) but also the marginal returns of SES for racial minority groups. Such efforts require addressing structural and societal barriers that hinder African American families from translating their SES resources and human capital into tangible outcomes. There is a need for studies that can minimize MDRs for African American families, so that every individual and every family can benefit from their resources regardless of their skin color. To achieve such a goal, we need to help middle-class African American families secure tangible outcomes in the presence of SES resources.

Quantifying segregation in an integrated urban physical-social space.

Our knowledge of how cities bring together different social classes is still limited. Much effort has been devoted to investigating residential segregation, mostly over well-defined social groups (e.g. race). Little is known of how mobility and human communications affect urban social integration. The dynamics of spatial and social-network segregation and individual variations along these two dimensions are largely untapped. In this article, we put forward a computational framework based on coupling large-scale information on human mobility, social-network connections and people's socio-economic status (SES), to provide a breakthrough in our understanding of the dynamics of spatio-temporal and social-network segregation in cities. Building on top of a social similarity measure, the framework can be used to depict segregation dynamics down to the individual level, and also provide aggregate measurements at the scale of places and cities, and their evolution over time. By applying the methodology in Singapore using large-scale mobile phone and socio-economic datasets, we find a relatively higher level of segregation among relatively wealthier classes, a finding that holds for both social and physical space. We also highlight the interplay between the effect of distance decay and homophily as forces that determine communication intensity, defining a notion of characteristic 'homophily distance' that can be used to measure social segregation across cities. The time-resolved analysis reveals the changing landscape of urban segregation and the time-varying roles of places. Segregations in physical and social space are weakly correlated at the individual level but highly correlated when grouped across at least hundreds of individuals. The methodology and analysis presented in this paper enable a deeper understanding of the dynamics of human segregation in social and physical space, which can assist social scientists, planners and city authorities in the design of more integrated cities.

Privilege and deprivation in Detroit: infant mortality and the Index of Concentration at the Extremes.

BACKGROUND: Enhanced understanding of spatial social polarization as a determinant of infant mortality is critical to efforts aimed at advancing health equity. Our objective was to identify associations between spatial social polarization and risk of infant death. METHODS: We conducted a cross-sectional analysis of all birth records issued to non-Hispanic (NH) Black and White women in Wayne County, MI, from 2010 to 2013 (n = 84 159), including linked death records for deaths occurring at less than 1 year of age. Spatial social polarization was measured in each Census tract of maternal residence (n = 599) using the Index of Concentration at the Extremes (ICE)-a joint measure of racial and economic segregation-estimated from American Community Survey 2009-2013 data. Log-Poisson regression models quantified relative risk (RR) of infant death (all-cause and cause-specific) associated with tertiles of the index, adjusting for maternal demographic characteristics and tract-level poverty. RESULTS: The crude infant-mortality rate was more than 2-fold higher among NH Black infants compared with NH Whites (14.0 vs 5.9 deaths per 1000 live births). Half of the 845 infant deaths (72% NH Black, 28% NH White) occurred in tracts in the lowest tertile of the ICE distribution, representing areas of relative deprivation. After adjustments, risk of death among infants in the lowest tertile was 1.46 times greater than those in the highest tertile (adjusted infant-mortality rate = 3.7 deaths per 1000 live births in highest tertile vs 5.4 deaths per 1000 live births in lowest tertile, relative risk = 1.46, 95% confidence interval = 1.02, 2.09). Patterns of associations with the index differed by cause of death. CONCLUSIONS: These findings suggest efforts to support equitable community investments may reduce incidents of death and the disproportionate experience of loss among NH Black women.

Determinación social de la mortalidad por accidentes de tránsito en el distrito metropolitano de Quito, año 2013 / Social Determination of Road Traffic Mortality in the Metropolitan District of Quito, 2013 / Determinação social da mortalidade por acidentes de tráfego no distrito metropolitano de Quito, ano de 2013

Resumen Introducción: Los marcos conceptuales clásicos han logrado una explicación y acción parcialmente efectivas sobre la mortalidad por accidentes de tránsito (at). Se requieren nuevos marcos para su comprensión como fenómeno social y de su distribución socioespacial, que efectivicen el derecho a una movilidad equitativa, segura y sustentable. Objetivo: Establecer la distribución socioespacial de los fallecimientos por at en el distrito metropolitano de Quito (dmq) en el año 2013 y sus procesos determinantes. Metodología: Mediante un estudio exploratorio multietápico: revisión documental, análisis de bases de datos, enlace de archivos y encuesta a un familiar del fallecido, se analizó la mortalidad por at en el dmq con base en las categorías de la epidemiología crítica: "segregación socioespacial", "clase social" y "perfil epidemiológico". Resultados: Se encontraron importantes diferencias en la mortalidad por zona homogénea, tasas de 7,84 y 18,82 por cien mil habitantes para las zonas residencial suntuaria y popular deteriorada, respectivamente; por clase social, el 58 % de fallecimientos se dio en el grupo proletario; por género, murieron 81,5 % hombres, y por grupos de edad, la tasa de mortalidad fue de 19,08 por cien mil habitantes, en mayores de 65 años. Conclusiones: Los fallecimientos por at presentan una distribución relacionada con la segregación del espacio en Quito, con los modos de vida de los grupos sociales, sus formas de trabajo y de consumo (movilidad). Merecen atención formas de trabajo con uso de motocicleta; también la construcción social de género y la mediación de los patrones de consumo de alcohol. Se requieren acciones de prevención construidas participativamente, en función de zonas homogéneas, de grupos sociales y procesos culturales.

Abstract Introduction: The classic conceptual frameworks have achie ved a partially effective explanation and action on mortality due to traffic accidents (ta). New frameworks are needed for its understanding as a social phenomenon and its socio-spa tial distribution, and would make effective the right to equi table, safe and sustainable transport. Objective: To establish the socio-spatial distribution of ta deaths in the Metropolitan District of Quito (mdq) in 2013 and its determining processes. Methodology: Through a multi-stage exploratory study: do cumentary review, database analysis, file link and survey of a relative of the deceased, ta mortality was analyzed for the mdq based on the categories of critical epidemiology: "socio-spatial segregation", "social class" and "epidemiological profile". Re sults: Important differences were found in mortality by homo geneous zone, rates of 7.84 and 18.82 per hundred thousand inhabitants for the wealthy and deteriorated popular residential zones, respectively; by social class, 58% of deaths occurred in the poorer group; by gender, 81.5% of men died, and by age groups, the mortality rate was 19.08 per hundred thousand in habitants, over 65 years of age. Conclusions: The distribution of ta deaths is related to the segregation of space in Quito, the livelihoods of social groups, their forms of work and con sumption (mobility). It is worth paying attention to types of work that use motorcycles, as well as the social construction of gender and the mediation of alcohol consumption patterns. There is a need for participative construction of preventative measures based on homogeneous zones, social groups and cul tural processes.

Resumo Introdução: Os marcos conceptuais clássicos tem logrado uma explicação e ação parcialmente efetivas sobre a morta lidade por acidentes de tráfego (AT). Se requerem novos mar cos para a sua compreensão como fenómeno social e da sua distribuição sócio espacial, que efetivem o direito para uma mobilidade enxuta, segura e sustentável. Objetivo: Estabele cer a distribuição sócio espacial dos falecimentos por AT no distrito metropolitano de Quito (dmq) no ano 2013 e os sus processos determinantes. Metodologia: Mediante um estudo exploratório poli processo: revisão documentaria, análise de bases de dados, enlace de arquivos e enquete ao familiar do falecido, se analisou a mortalidade por at no dmq com base nas categorias da epidemiologia crítica: "segregação sócio espa cial", "classe social" e "perfil epidemiológico". Resultados: Se encontraram importantes diferencias na mortalidade por zona homogénea, taxas de 7,84 e 18,82 por cem mil habitantes para as zonas residencial suntuária e popular deteriorada, res pectivamente; por classe social, o 58 % de falecimentos se deu no grupo proletário; por género, morreram 81,5 % homens, y por grupos de idade, a taxa de mortalidade foi de 19,08 por cada cem mil habitantes, em mais velhos de 65 anos. Con clusões: Os falecimentos por at apresentam uma distribuição alusiva com a segregação do espaço em Quito, com os modos de vida dos grupos sociais, os seus jeitos de trabalho e de con sumo (mobilidade). Merecem atenção jeitos de trabalho com uso de motocicleta; também a construção social de género e a mediação dos padrões do consumo de álcool. Se requerem ações de prevenção construídas participativamente, na função de zonas homogéneas, de grupos sociais e processos culturais.

Residências Terapêuticas e a cidade: enfrentamentos de normas sociais vigentes / Therapeutic Residences and the city: confrontations of existing social norms

RESUMO O presente artigo propõe um diálogo sobre Residências Terapêuticas e apropriação da cidade a partir do tema da desinstitucionalização de ex-moradores de hospitais psiquiátricos e seu retorno à cidade. O artigo estabelece problematização sobre reparação de danos, além da ruptura da condição de vida desses moradores, o que só parece ser possível quando a loucura ultrapassa a questão da diferença e adentra o âmbito da segregação social, extrapolando em muito o saber psiquiátrico e colocando a existência do louco no interior da realidade compartilhada por todos os fragilizados e segregados das possibilidades de troca social.

ABSTRACT The present article proposes a dialogue about Therapeutic Residences and appropriation of the city from the theme of deinstitutionalization of former residents of psychiatric hospitals and their return to the city. The article establishes the problematization on damage reparation, as well as the rupture of the living conditions of these residents, which only seems to be possible when the madness goes beyond the difference's matter and enters the scope of social segregation, extrapolating in much the psychiatric knowledge and placing the existence of the madman within the reality shared by all the fragile and segregated of the possibilities of social exchange.