Kara B. Beck , Michele L. Casper , Adam S. Vaughan
{"title":"美国县级心血管疾病死亡率的城乡差异","authors":"Kara B. Beck , Michele L. Casper , Adam S. Vaughan","doi":"10.1016/j.healthplace.2025.103431","DOIUrl":null,"url":null,"abstract":"<div><div>This study examined variation in county-level cardiovascular disease (CVD) death rates among adults aged 35–64 years using four measures of rural-urban status: Urban Influence Codes, Rural-Urban Continuum Codes (RUCC), National Center for Health Statistics Urban-Rural Classification Scheme, and Core-Based Statistical Areas. We estimated 2021 CVD death rates and used Poisson regression models to calculate rate ratios (RR) for full and dichotomized rural-urban measures. All measures identified the largest RR in the middle of the rural-urban spectrum. RUCC demonstrated patterns by population size and adjacency. RR magnitude varied across dichotomization methods. These findings demonstrate complexity underlying rural-urban differences and can guide public health practice.</div></div>","PeriodicalId":49302,"journal":{"name":"Health & Place","volume":"92 ","pages":"Article 103431"},"PeriodicalIF":4.1000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variation in U.S. county-level cardiovascular disease death rates by measure of rural-urban status\",\"authors\":\"Kara B. Beck , Michele L. Casper , Adam S. Vaughan\",\"doi\":\"10.1016/j.healthplace.2025.103431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study examined variation in county-level cardiovascular disease (CVD) death rates among adults aged 35–64 years using four measures of rural-urban status: Urban Influence Codes, Rural-Urban Continuum Codes (RUCC), National Center for Health Statistics Urban-Rural Classification Scheme, and Core-Based Statistical Areas. We estimated 2021 CVD death rates and used Poisson regression models to calculate rate ratios (RR) for full and dichotomized rural-urban measures. All measures identified the largest RR in the middle of the rural-urban spectrum. RUCC demonstrated patterns by population size and adjacency. RR magnitude varied across dichotomization methods. These findings demonstrate complexity underlying rural-urban differences and can guide public health practice.</div></div>\",\"PeriodicalId\":49302,\"journal\":{\"name\":\"Health & Place\",\"volume\":\"92 \",\"pages\":\"Article 103431\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health & Place\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1353829225000206\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health & Place","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1353829225000206","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Variation in U.S. county-level cardiovascular disease death rates by measure of rural-urban status
This study examined variation in county-level cardiovascular disease (CVD) death rates among adults aged 35–64 years using four measures of rural-urban status: Urban Influence Codes, Rural-Urban Continuum Codes (RUCC), National Center for Health Statistics Urban-Rural Classification Scheme, and Core-Based Statistical Areas. We estimated 2021 CVD death rates and used Poisson regression models to calculate rate ratios (RR) for full and dichotomized rural-urban measures. All measures identified the largest RR in the middle of the rural-urban spectrum. RUCC demonstrated patterns by population size and adjacency. RR magnitude varied across dichotomization methods. These findings demonstrate complexity underlying rural-urban differences and can guide public health practice.