Ryan Saelee, Dayna S Alexander, Jacob T Wittman, Meda E Pavkov, Darrell L Hudson, Kai McKeever Bullard
{"title":"2016-2020 年美国种族和经济隔离与糖尿病死亡率。","authors":"Ryan Saelee, Dayna S Alexander, Jacob T Wittman, Meda E Pavkov, Darrell L Hudson, Kai McKeever Bullard","doi":"10.1136/jech-2024-222178","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The purpose of this study was to examine the association between racial and economic segregation and diabetes mortality among US counties from 2016 to 2020.</p><p><strong>Methods: </strong>We conducted a cross-sectional ecological study that combined county-level diabetes mortality data from the National Vital Statistics System and sociodemographic information drawn from the 2016-2020 American Community Survey (n=2380 counties in the USA). Racialized economic segregation was measured using the Index Concentration at the Extremes (ICE) for income (ICE<sub>income</sub>), race (ICE<sub>race</sub>) and combined income and race (ICE<sub>combined</sub>). ICE measures were categorised into quintiles, Q1 representing the highest concentration and Q5 the lowest concentration of low-income, non-Hispanic (NH) black and low-income NH black households, respectively. Diabetes was ascertained as the underlying cause of death. County-level covariates included the percentage of people aged ≥65 years, metropolitan designation and population size. Multilevel Poisson regression was used to estimate the adjusted mean mortality rate and adjusted risk ratios (aRR) comparing Q1 and Q5.</p><p><strong>Results: </strong>Adjusted mean diabetes mortality rate was consistently greater in counties with higher concentrations of low-income (ICE<sub>income</sub>) and low-income NH black households (ICE<sub>combined</sub>). Compared with counties with the lowest concentration (Q1), counties with the highest concentration (Q5) of low-income (aRR 1.96; 95% CI 1.81 to 2.11 for ICE<sub>income</sub>), NH black (aRR 1.32; 95% CI 1.18 to 1.47 for ICE<sub>race</sub>) and low-income NH black households (aRR 1.70; 95% CI 1.56 to 1.84 for ICE<sub>combined</sub>) had greater diabetes mortality.</p><p><strong>Conclusion: </strong>Racial and economic segregation is associated with diabetes mortality across US counties.</p>","PeriodicalId":54839,"journal":{"name":"Journal of Epidemiology and Community Health","volume":" ","pages":"793-798"},"PeriodicalIF":4.9000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Racial and economic segregation and diabetes mortality in the USA, 2016-2020.\",\"authors\":\"Ryan Saelee, Dayna S Alexander, Jacob T Wittman, Meda E Pavkov, Darrell L Hudson, Kai McKeever Bullard\",\"doi\":\"10.1136/jech-2024-222178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The purpose of this study was to examine the association between racial and economic segregation and diabetes mortality among US counties from 2016 to 2020.</p><p><strong>Methods: </strong>We conducted a cross-sectional ecological study that combined county-level diabetes mortality data from the National Vital Statistics System and sociodemographic information drawn from the 2016-2020 American Community Survey (n=2380 counties in the USA). Racialized economic segregation was measured using the Index Concentration at the Extremes (ICE) for income (ICE<sub>income</sub>), race (ICE<sub>race</sub>) and combined income and race (ICE<sub>combined</sub>). ICE measures were categorised into quintiles, Q1 representing the highest concentration and Q5 the lowest concentration of low-income, non-Hispanic (NH) black and low-income NH black households, respectively. Diabetes was ascertained as the underlying cause of death. County-level covariates included the percentage of people aged ≥65 years, metropolitan designation and population size. Multilevel Poisson regression was used to estimate the adjusted mean mortality rate and adjusted risk ratios (aRR) comparing Q1 and Q5.</p><p><strong>Results: </strong>Adjusted mean diabetes mortality rate was consistently greater in counties with higher concentrations of low-income (ICE<sub>income</sub>) and low-income NH black households (ICE<sub>combined</sub>). Compared with counties with the lowest concentration (Q1), counties with the highest concentration (Q5) of low-income (aRR 1.96; 95% CI 1.81 to 2.11 for ICE<sub>income</sub>), NH black (aRR 1.32; 95% CI 1.18 to 1.47 for ICE<sub>race</sub>) and low-income NH black households (aRR 1.70; 95% CI 1.56 to 1.84 for ICE<sub>combined</sub>) had greater diabetes mortality.</p><p><strong>Conclusion: </strong>Racial and economic segregation is associated with diabetes mortality across US counties.</p>\",\"PeriodicalId\":54839,\"journal\":{\"name\":\"Journal of Epidemiology and Community Health\",\"volume\":\" \",\"pages\":\"793-798\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Epidemiology and Community Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/jech-2024-222178\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Epidemiology and Community Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/jech-2024-222178","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Racial and economic segregation and diabetes mortality in the USA, 2016-2020.
Background: The purpose of this study was to examine the association between racial and economic segregation and diabetes mortality among US counties from 2016 to 2020.
Methods: We conducted a cross-sectional ecological study that combined county-level diabetes mortality data from the National Vital Statistics System and sociodemographic information drawn from the 2016-2020 American Community Survey (n=2380 counties in the USA). Racialized economic segregation was measured using the Index Concentration at the Extremes (ICE) for income (ICEincome), race (ICErace) and combined income and race (ICEcombined). ICE measures were categorised into quintiles, Q1 representing the highest concentration and Q5 the lowest concentration of low-income, non-Hispanic (NH) black and low-income NH black households, respectively. Diabetes was ascertained as the underlying cause of death. County-level covariates included the percentage of people aged ≥65 years, metropolitan designation and population size. Multilevel Poisson regression was used to estimate the adjusted mean mortality rate and adjusted risk ratios (aRR) comparing Q1 and Q5.
Results: Adjusted mean diabetes mortality rate was consistently greater in counties with higher concentrations of low-income (ICEincome) and low-income NH black households (ICEcombined). Compared with counties with the lowest concentration (Q1), counties with the highest concentration (Q5) of low-income (aRR 1.96; 95% CI 1.81 to 2.11 for ICEincome), NH black (aRR 1.32; 95% CI 1.18 to 1.47 for ICErace) and low-income NH black households (aRR 1.70; 95% CI 1.56 to 1.84 for ICEcombined) had greater diabetes mortality.
Conclusion: Racial and economic segregation is associated with diabetes mortality across US counties.
期刊介绍：
The Journal of Epidemiology and Community Health is a leading international journal devoted to publication of original research and reviews covering applied, methodological and theoretical issues with emphasis on studies using multidisciplinary or integrative approaches. The journal aims to improve epidemiological knowledge and ultimately health worldwide.
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