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INTRODUCTION: Studies have indicated that youth who use e-cigarettes are more likely to progress to cigarette smoking; however, the likelihood that these youth would have used tobacco products in the pre-vaping era is unclear. AIMS AND METHODS: This study sought to determine whether youth who used e-cigarettes in 2014-2018 would have likely been smokers in the period preceding e-cigarette availability. Analyzing Monitoring the Future 12th grade data (United States, 2009-2018), we forecasted the prevalence of current smoking with logistic regression-derived propensity scores. Models predicted smoking for all subsequent years, incorporating sociodemographic, family, alcohol, and school-related variables, and a linear time trend. We compared forecasted to observed smoking prevalence annually, and prevalence of current e-cigarette use among nonsmokers across smoking propensity tertiles. RESULTS: Until 2014, observed smoking prevalence mirrored forecasted prevalence. Afterward, forecasted rates consistently overestimated prevalence. Among nonsmoking youth, e-cigarette use was lowest among those with lowest predicted probability of cigarette smoking (3.8%; 95% confidence interval [CI]: 3.3, 4.4) and highest among those with highest probability (23.5%; 95% CI: 22.2, 24.9). CONCLUSIONS: Youth e-cigarette use has increased rapidly, with high prevalence among nonsmoking youth. However, the decline in current smoking among 12th graders has accelerated since e-cigarettes have become available. E-cigarette use is largely concentrated among youth who share characteristics with smokers of the pre-vaping era, suggesting e-cigarettes may have replaced cigarette smoking. IMPLICATIONS: Among nonsmoking youth, vaping is largely concentrated among those who would have likely smoked prior to the introduction of e-cigarettes, and the introduction of e-cigarettes has coincided with an acceleration in the decline in youth smoking rates. E-cigarettes may be an important tool for population-level harm reduction, even considering their impact on youth.
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Sistemas Electrónicos de Liberación de Nicotina , Productos de Tabaco , Vapeo , Adolescente , Estudios Transversales , Humanos , Instituciones Académicas , Fumadores , Estados Unidos/epidemiologíaRESUMEN
We evaluated whether using county-level data to characterize public health measures in cities biases the characterization of city populations. We compared 4 public health and sociodemographic measures in 447 US cities (percent of children living in poverty, percent of non-Hispanic Black population, age-adjusted cardiovascular disease mortality, life expectancy at birth) to the same measures calculated for counties that contain those cities. We found substantial and highly variable city-county differences within and across metrics, which suggests that use of county data to proxy city measures could hamper accurate allocation of public health resources and appreciation of the urgency of public health needs in specific locales.
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Determinantes Sociales de la Salud/estadística & datos numéricos , Población Urbana/estadística & datos numéricos , Negro o Afroamericano/estadística & datos numéricos , Enfermedades Cardiovasculares/mortalidad , Niño , Ciudades , Femenino , Humanos , Esperanza de Vida , Masculino , Pobreza , Factores de Riesgo , Estados Unidos/epidemiologíaAsunto(s)
Negro o Afroamericano , Política Pública/historia , Racismo/historia , Derechos Civiles/historia , Derechos Civiles/legislación & jurisprudencia , Historia del Siglo XVIII , Historia del Siglo XX , Vivienda/historia , Vivienda/legislación & jurisprudencia , Humanos , Facultades de Medicina , Estados UnidosRESUMEN
OBJECTIVES: To estimate the association between rates of police-related deaths and neighborhood residential segregation (by income, race/ethnicity, or both combined) in the United States. METHODS: We identified police-related deaths that occurred in the United States (2015-2016) using a data set from the Guardian newspaper. We used census data to estimate expected police-related death counts for all US census tracts and to calculate the Index of Concentration at the Extremes as a segregation measure. We used multilevel negative binomial models for the analyses. RESULTS: Overall, police-related death rates were highest in neighborhoods with the greatest concentrations of low-income residents (vs high-income residents) and residents of color (vs non-Hispanic White residents). For non-Hispanic Blacks, however, the risk was greater in the quintile of neighborhoods with the highest concentration of non-Hispanic White residents than in certain neighborhoods with relatively higher concentrations of residents of color (the third and fourth quintiles). CONCLUSIONS: Neighborhood context matters-beyond individual race/ethnicity-for understanding, preventing, and responding to the occurrence of police-related deaths. Public Health Implications. Efforts to monitor, prevent, and respond to police-related deaths should consider neighborhood context, including levels of segregation by income and race/ethnicity.
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Causas de Muerte/tendencias , Etnicidad/estadística & datos numéricos , Policia/estadística & datos numéricos , Pobreza/estadística & datos numéricos , Pobreza/tendencias , Características de la Residencia/estadística & datos numéricos , Población Urbana/tendencias , Femenino , Predicción , Humanos , Masculino , Factores Socioeconómicos , Estados Unidos , Población Urbana/estadística & datos numéricosRESUMEN
BACKGROUND: Prior research suggests that United States governmental sources documenting the number of law-enforcement-related deaths (i.e., fatalities due to injuries inflicted by law enforcement officers) undercount these incidents. The National Vital Statistics System (NVSS), administered by the federal government and based on state death certificate data, identifies such deaths by assigning them diagnostic codes corresponding to "legal intervention" in accordance with the International Classification of Diseases-10th Revision (ICD-10). Newer, nongovernmental databases track law-enforcement-related deaths by compiling news media reports and provide an opportunity to assess the magnitude and determinants of suspected NVSS underreporting. Our a priori hypotheses were that underreporting by the NVSS would exceed that by the news media sources, and that underreporting rates would be higher for decedents of color versus white, decedents in lower versus higher income counties, decedents killed by non-firearm (e.g., Taser) versus firearm mechanisms, and deaths recorded by a medical examiner versus coroner. METHODS AND FINDINGS: We created a new US-wide dataset by matching cases reported in a nongovernmental, news-media-based dataset produced by the newspaper The Guardian, The Counted, to identifiable NVSS mortality records for 2015. We conducted 2 main analyses for this cross-sectional study: (1) an estimate of the total number of deaths and the proportion unreported by each source using capture-recapture analysis and (2) an assessment of correlates of underreporting of law-enforcement-related deaths (demographic characteristics of the decedent, mechanism of death, death investigator type [medical examiner versus coroner], county median income, and county urbanicity) in the NVSS using multilevel logistic regression. We estimated that the total number of law-enforcement-related deaths in 2015 was 1,166 (95% CI: 1,153, 1,184). There were 599 deaths reported in The Counted only, 36 reported in the NVSS only, 487 reported in both lists, and an estimated 44 (95% CI: 31, 62) not reported in either source. The NVSS documented 44.9% (95% CI: 44.2%, 45.4%) of the total number of deaths, and The Counted documented 93.1% (95% CI: 91.7%, 94.2%). In a multivariable mixed-effects logistic model that controlled for all individual- and county-level covariates, decedents injured by non-firearm mechanisms had higher odds of underreporting in the NVSS than those injured by firearms (odds ratio [OR]: 68.2; 95% CI: 15.7, 297.5; p < 0.01), and underreporting was also more likely outside of the highest-income-quintile counties (OR for the lowest versus highest income quintile: 10.1; 95% CI: 2.4, 42.8; p < 0.01). There was no statistically significant difference in the odds of underreporting in the NVSS for deaths certified by coroners compared to medical examiners, and the odds of underreporting did not vary by race/ethnicity. One limitation of our analyses is that we were unable to examine the characteristics of cases that were unreported in The Counted. CONCLUSIONS: The media-based source, The Counted, reported a considerably higher proportion of law-enforcement-related deaths than the NVSS, which failed to report a majority of these incidents. For the NVSS, rates of underreporting were higher in lower income counties and for decedents killed by non-firearm mechanisms. There was no evidence suggesting that underreporting varied by death investigator type (medical examiner versus coroner) or race/ethnicity.
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Recolección de Datos , Etnicidad/estadística & datos numéricos , Armas de Fuego/estadística & datos numéricos , Homicidio/estadística & datos numéricos , Aplicación de la Ley , Medios de Comunicación de Masas , Heridas y Lesiones/mortalidad , Adolescente , Adulto , Negro o Afroamericano , Asiático , Causas de Muerte , Estudios Transversales , Bases de Datos Factuales , Femenino , Hispánicos o Latinos , Humanos , Indígenas Norteamericanos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Mortalidad , Nativos de Hawái y Otras Islas del Pacífico , Oportunidad Relativa , Estados Unidos , Estadísticas Vitales , Población Blanca , Heridas por Arma de Fuego/mortalidad , Adulto JovenRESUMEN
[This corrects the article DOI: 10.1371/journal.pmed.1002399.].
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OBJECTIVES: To assess the validity of demographic data reported in news media-based data sets for persons killed by police in Massachusetts (2004-2016) and to evaluate misclassification of these deaths in vital statistics mortality data. METHODS: We identified 84 deaths resulting from police intervention in 4 news media-based data sources (WGBH News, Fatal Encounters, The Guardian, and The Washington Post) and, via record linkage, conducted matched-pair analyses with the Massachusetts mortality data. RESULTS: Compared with death certificates, there was near-perfect correlation for age in all sources (Pearson r > 0.99) and perfect concordance for gender. Agreement for race/ethnicity ranged from perfect (The Counted and The Washington Post) to high (Fatal Encounters Cohen's κ = 0.92). Among the 78 decedents for whom finalized International Classification of Diseases, 10th Revision (ICD-10), codes were available, 59 (75.6%) were properly classified as "deaths due to legal intervention." CONCLUSIONS: In Massachusetts, the 4 media-based sources on persons killed by police provide valid demographic data. Misclassification of deaths due to legal intervention in the mortality data does, however, remain a problem. Replication of the study in other states and nationally is warranted.
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Certificado de Defunción , Homicidio/estadística & datos numéricos , Medios de Comunicación de Masas/estadística & datos numéricos , Policia/estadística & datos numéricos , Grupos Raciales/estadística & datos numéricos , Adulto , Distribución por Edad , Femenino , Humanos , Masculino , Massachusetts/epidemiología , Persona de Mediana Edad , Distribución por Sexo , Adulto JovenRESUMEN
Research on residential segregation and health, primarily conducted in the USA, has chiefly employed city or regional measures of racial segregation. To test our hypothesis that stronger associations would be observed using local measures, especially for racialized economic segregation, we analyzed risk of fatal and non-fatal assault in Massachusetts (1995-2010), since this outcome is strongly associated with residential segregation. The segregation metrics comprised the Index of Concentration at the Extremes (ICE), the Index of Dissimilarity, and poverty rate, with measures computed at both the census tract and city/town level. Key results were that larger associations between fatal and non-fatal assaults and residential segregation occurred for models using the census tract vs. city/town measures, with the greatest associations observed for racialized economic segregation. For fatal assaults, comparing the bottom vs. top quintiles, the incidence rate ratio (and 95% confidence interval (CI)) in models using the census tract measures equaled 3.96 (95% CI 3.10, 5.06) for the ICE for racialized economic segregation, 3.26 (95% CI 2.58, 4.14) for the ICE for income, 3.14 (95% CI 2.47, 3.99) for poverty, 2.90 (95% CI 2.21, 3.81) for the ICE for race/ethnicity, and only 0.93 (95% CI 0.79, 1.11) for the Index of Dissimilarity; in models that included both census tract and city/town ICE measures, this risk ratio for the ICE for racialized economic segregation was higher at the census tract (3.29; 95% CI 2.43, 4.46) vs. city/town level (1.61; 95% CI 1.12, 2.32). These results suggest that, at least in the case of fatal and non-fatal assaults, research on residential segregation should employ local measures, including of racialized economic segregation, to avoid underestimating the adverse impact of segregation on health.
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Pobreza/estadística & datos numéricos , Grupos Raciales/estadística & datos numéricos , Características de la Residencia/estadística & datos numéricos , Población Urbana/estadística & datos numéricos , Violencia/etnología , Adolescente , Adulto , Anciano , Censos , Niño , Armas de Fuego/estadística & datos numéricos , Homicidio/etnología , Humanos , Massachusetts/epidemiología , Persona de Mediana Edad , Medio Social , Factores Socioeconómicos , Salud Urbana , Adulto JovenAsunto(s)
Muerte Súbita , Aplicación de la Ley , Mortalidad/tendencias , Policia/estadística & datos numéricos , Prisioneros/estadística & datos numéricos , Vigilancia en Salud Pública/métodos , Salud Pública/estadística & datos numéricos , Adulto , Anciano , Anciano de 80 o más Años , Femenino , Predicción , Humanos , Masculino , Persona de Mediana Edad , Estados Unidos , Adulto JovenRESUMEN
Nancy Krieger and colleagues argue that law-enforcement-related deaths in the United States should be treated as notifiable conditions, which would allow public health departments to report these data in real-time.
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Homicidio/estadística & datos numéricos , Aplicación de la Ley , Policia/estadística & datos numéricos , Salud Pública/métodos , Salud Pública/estadística & datos numéricos , Humanos , Estados UnidosRESUMEN
The COVID-19 epidemic in the United States has been characterized by two stark disparities. COVID-19 burden has been unequally distributed among racial and ethnic groups and at the same time the mortality rates have been sharply higher among older age groups. These disparities have led some to suggest that inequalities could be reduced by vaccinating front-line workers before vaccinating older individuals, as older individuals in the US are disproportionately Non-Hispanic White. We compare the performance of two distribution policies, one allocating vaccines to front-line workers and another to older individuals aged 65-74-year-old. We estimate both the number of lives saved and the number of years of life saved under each of the policies, overall and in every race/ethnicity groups, in the United States and every state. We show that prioritizing COVID-19 vaccines for 65-74-year-olds saves both more lives and more years of life than allocating vaccines front-line workers in each racial/ethnic group, in the United States as a whole and in nearly every state. When evaluating fairness of vaccine allocation policies, the overall benefit to impact of each population subgroup should be considered, not only the proportion of doses that is distributed to each subgroup. Further work can identify prioritization schemes that perform better on multiple equity metrics.
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The AIDS and COVID-19 pandemics demonstrated that nations at similar economic development levels varied widely in their capacity to protect the health of their residents. For AIDS, Britain and Australia brought gay representatives into official counsels and adopted harm reduction far more rapidly than the United States or Spain, and East African countries responded more effectively than South Africa or the Democratic Republic of the Congo. National responses to COVID-19 varied widely, with New Zealand, China, and Vietnam more effective than Italy, Brazil, or the United States. Further, as phylogenetic research has demonstrated, these pandemics spread from one country to another, with those that responded poorly acting as sources for mutations and potentially sources of transmission to countries with more effective responses. Many observers expressed surprise at the poor responses of the United States to COVID-19, but in retrospect the cutbacks in public health funding at state and national levels made it clear that this was a predictable weakness even in addition to the political vacillations that crippled the US and Brazilian responses. In a time of global sociopolitical and climate instability, it is important to measure and conduct research into spatial and time variations in 1. public health and medical funding, 2. social influence networks, social cohesion and trust, and stigmatization, 3. income inequality, 4. social conflict, and 5. other factors that affect responsiveness to pandemics.
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BACKGROUND: Despite evidence of racialized and socioeconomic inequities in tobacco and alcohol outlet availability, few studies have investigated spatial inequities in areas experiencing both concentrated residential racialized segregation and socioeconomic disadvantage. This study examined whether segregation-racialized, economic or both-was associated with alcohol and tobacco retailer counts in North Carolina (NC). METHODS: The NC Alcoholic Beverage Control Commission provided lists of 2021 off-premise alcohol retailers. We created a list of 2018 probable tobacco retailers using ReferenceUSA. We calculated three census tract-level measures of the Index of Concentrations at the Extremes (ICE), indicating racialized segregation between non-Hispanic White and Black residents and economic segregation based on household income. We used negative binomial regression to test associations between quintiles of each ICE measure and tobacco and, separately, alcohol retailer counts. RESULTS: Tracts with the greatest racialized disadvantage had 38% (IRR, 1.38; 95% CI, 1.15-1.66) and 65% (IRR, 1.65; 95% CI, 1.34-2.04) more tobacco and alcohol outlets, respectively, as tracts with the lowest. Tracts with the highest racialized economic disadvantage had a predicted count of 1.51 tobacco outlets per 1000 people while those in the lowest had nearly one fewer predicted outlet. Similar inequities existed in the predicted count of alcohol outlets. DISCUSSION: Tobacco and alcohol outlet availability are higher in NC places experiencing concentrated racialized and economic segregation. A centralized agency overseeing tobacco and alcohol outlet permits and strategies to reduce the retail availability of these harmful products (e.g., capping the number of permits) are needed to intervene upon these inequities.
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Nicotiana , Productos de Tabaco , Humanos , North Carolina , Características de la Residencia , Etanol , ComercioRESUMEN
INTRODUCTION: Although growing evidence links residential evictions to health, little work has examined connections between eviction and healthcare utilization or access. In this study, eviction records are linked to Medicaid claims to estimate short-term associations between eviction and healthcare utilization, as well as Medicaid disenrollment. METHODS: New York City eviction records from 2017 were linked to New York State Medicaid claims, with 1,300 evicted patients matched to 261,855 non-evicted patients with similar past healthcare utilization, demographics, and neighborhoods. Outcomes included patients' number of acute and ambulatory care visits, healthcare spending, Medicaid disenrollment, and pharmaceutical prescription fills during 6 months of follow-up. Coarsened exact matching was used to strengthen causal inference in observational data. Weighted generalized linear models were then fit, including censoring weights. Analyses were conducted in 2019-2021. RESULTS: Eviction was associated with 63% higher odds of losing Medicaid coverage (95% CI=1.38, 1.92, p<0.001), fewer pharmaceutical prescription fills (incidence rate ratio=0.68, 95% CI=0.52, 0.88, p=0.004), and lower odds of generating any healthcare spending (OR=0.72, 95% CI=0.61, 0.85, p<0.001). However, among patients who generated any spending, average spending was 20% higher for those evicted (95% CI=1.03, 1.40, p=0.017), such that evicted patients generated more spending on balance. Marginally significant estimates suggested associations with increased acute, and decreased ambulatory, care visits. CONCLUSIONS: Results suggest that eviction drives increased healthcare spending while disrupting healthcare access. Given previous research that Medicaid expansion lowered eviction rates, eviction and Medicaid disenrollment may operate cyclically, accumulating disadvantage. Preventing evictions may improve access to care and lower Medicaid costs.
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Medicaid , Aceptación de la Atención de Salud , Accesibilidad a los Servicios de Salud , Humanos , Modelos Lineales , Ciudad de Nueva York , Estados UnidosRESUMEN
Background: Populations who are incarcerated have experienced disproportionately high coronavirus disease 2019 (COVID-2019) mortality rates compared to the general population. However, mortality rates by race/ethnicity from federal, state, and local carceral settings are largely unavailable due to unregulated reporting; therefore, racial/ethnic inequities have yet to be examined. We aimed to estimate coronavirus disease 2019 (COVID-19) mortality rates among individuals incarcerated in U.S. state prisons by race and ethnicity (RE). Methods: Public records requests to state Departments of Corrections were used to identify deaths from COVID-19 among incarcerated adults occurring from March 1-October 1, 2020. We requested race, ethnicity, and age specific data on deaths and custody populations; sufficient data to calculate age-adjusted rates were obtained for 11 state systems. Race and ethnic specific unadjusted deaths rates per 100,000 persons were calculated overall and by state, based on March 1, 2020 custody populations. Rate ratios (RR) and 95% confidence intervals (95%CI) compared aggregated age-adjusted death rates by race and ethnicity, with White individuals as the reference group. Results: Of all COVID-related deaths in U.S. prisons through October 2020, 23.35% (272 of 1165) were captured in our analyses. The average age at COVID-19 death was 63 years (SD = 10 years) and was significantly lower among Black (60 years, SD = 11 years) compared to White adults (66 years, SD = 10 years; p < 0.001). In age-standardized analysis, COVID-19 death rates were significantly higher among Black (RR = 1.93, 95% CI: 1.25-2.99), Hispanic (RR = 1.81, 95% CI: 1.10-2.96) and those of Other racial and ethnic groups (RR = 2.60, 95% CI: 1.01-6.67) when compared to White individuals. Conclusions: Age-standardized death rates were higher among incarcerated Black, Hispanic and those of Other racial and ethnic groups compared to their White counterparts. Greater data transparency from all carceral systems is needed to better understand populations at disproportionate risk of COVID-19 morbidity and mortality.
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Servicio de Urgencia en Hospital/estadística & datos numéricos , Disparidades en el Estado de Salud , Heridas y Lesiones/etnología , Adolescente , Adulto , Etnicidad , Femenino , Humanos , Jurisprudencia , Masculino , Grupos Raciales , Factores Socioeconómicos , Estados Unidos , Adulto JovenRESUMEN
Importance: Racial and ethnic inequities in COVID-19 mortality have been well documented, but little prior research has assessed the combined roles of race and ethnicity and educational attainment. Objective: To measure inequality in COVID-19 mortality jointly by race and ethnicity and educational attainment. Design, Setting, and Participants: This cross-sectional study analyzed data on COVID-19 mortality from the 50 US states and the District of Columbia for the full calendar year 2020. It included all persons in the United States aged 25 years or older and analyzed them in subgroups jointly stratified by age, sex, race and ethnicity, and educational attainment. Main Outcomes and Measures: Population-based cumulative mortality rates attributed to COVID-19.F. Results: Among 219.1 million adults aged 25 years or older (113.3 million women [51.7%]; mean [SD] age, 51.3 [16.8] years), 376â¯125 COVID-19 deaths were reported. Age-adjusted cumulative mortality rates per 100â¯000 ranged from 54.4 (95% CI, 49.8-59.0 per 100â¯000 population) among Asian women with some college to 699.0 (95% CI, 612.9-785.0 per 100â¯000 population) among Native Hawaiian and Other Pacific Islander men with a high school degree or less. Racial and ethnic inequalities in COVID-19 mortality rates remained when comparing within educational attainment categories (median rate ratio reduction, 17% [IQR, 0%-25%] for education-stratified estimates vs unstratified, with non-Hispanic White individuals as the reference). If all groups had experienced the same mortality rates as college-educated non-Hispanic White individuals, there would have been 48% fewer COVID-19 deaths among adults aged 25 years or older overall, including 71% fewer deaths among racial and ethnic minority populations and 89% fewer deaths among racial and ethnic minority populations aged 25 to 64 years. Conclusions and Relevance: Public health research and practice should attend to the ways in which populations that share socioeconomic characteristics may still experience racial and ethnic inequity in the distribution of risk factors for SARS-CoV-2 exposure and infection fatality rates (eg, housing, occupation, and prior health status). This study suggests that a majority of deaths among racial and ethnic minority populations could have been averted had all groups experienced the same mortality rate as college-educated non-Hispanic White individuals, thus highlighting the importance of eliminating joint racial-socioeconomic health inequities.
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Éxito Académico , COVID-19/mortalidad , Minorías Étnicas y Raciales/estadística & datos numéricos , Etnicidad/estadística & datos numéricos , Grupos Minoritarios/estadística & datos numéricos , Adulto , Anciano , Estudios Transversales , Femenino , Inequidades en Salud , Disparidades en el Estado de Salud , Humanos , Masculino , Persona de Mediana Edad , Estados Unidos/epidemiologíaRESUMEN
Diabetes and hypertension are socially patterned by individual race/ethnicity and by neighborhood economic context, but distributions among Asian subgroups are undercharacterized. We examined variation in prevalence for both conditions, comparing between US Asian subgroups, including within South Asian nationalities, and comparing within subgroups by neighborhood economic context. We obtained data on a non-probability sample of 633,664 patients ages 18-64 in New York City, NY, USA (2014-2017); 30,138 belonged to one of seven Asian subgroups (Asian Indian, Bangladeshi, Pakistani, Chinese, Korean, Japanese, and Filipino). We used electronic health records to classify disease status. We characterized census tract economic context using the Index of Concentration at the Extremes and estimated prevalence differences using multilevel models. Among Asian men, hypertension prevalence was highest for Filipinos. Among Asian women, hypertension prevalence was highest for Filipinas and Bangladeshis. Diabetes prevalence was highest among Pakistanis and Bangladeshis of both genders, exceeding all other Asian and non-Asian groups. There was consistent evidence of an economic gradient for both conditions, whereby persons residing in the most privileged neighborhood tertile had the lowest disease prevalence. The economic gradient was particularly strong for diabetes among Pakistanis, whose prevalence in the most deprived tertile exceeded that of the most privileged by 9 percentage points (95% CI 3, 14). Only Koreans departed from the trend, experiencing the highest diabetes prevalence in the most privileged tertile. US Asian subgroups largely demonstrate similar neighborhood economic gradients as other groups. Disaggregating Asian subgroups, including within South Asian nationalities, reveals important heterogeneity in prevalence.
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Asiático/estadística & datos numéricos , Diabetes Mellitus/etnología , Hipertensión/etnología , Características de la Residencia/estadística & datos numéricos , Adolescente , Adulto , Diabetes Mellitus/terapia , Femenino , Humanos , Hipertensión/terapia , Masculino , Persona de Mediana Edad , Ciudad de Nueva York/epidemiología , Prevalencia , Factores Socioeconómicos , Adulto JovenRESUMEN
INTRODUCTION: Neighborhood walkability has been established as a potentially important determinant of various health outcomes that are distributed inequitably by race/ethnicity and sociodemographic status. The objective of this study is to assess the differences in walkability across major urban centers in the U.S. METHODS: City- and census tract-level differences in walkability were assessed in 2020 using the 2019 Walk Score across 500 large cities in the U.S. RESULTS: At both geographic levels, high-income and majority White geographic units had the lowest walkability overall. Walkability was lower with increasing tertile of median income among majority White, Latinx, and Asian American and Native Hawaiian and Pacific Islander neighborhoods. However, this association was reversed within majority Black neighborhoods, where tracts in lower-income tertiles had the lowest walkability. Associations varied substantially by region, with the strongest differences observed for cities located in the South. CONCLUSIONS: Differences in neighborhood walkability across 500 U.S. cities provide evidence that both geographic unit and region meaningfully influence associations between sociodemographic factors and walkability. Structural interventions to the built environment may improve equity in urban environments, particularly in lower-income majority Black neighborhoods.