Aleah L. Thomas , Rachel J. Kulchar , Erica S. Stephens , Lee Mason , Sarah S. Jackson , Alexandra R. Harris , Aldenise P. Ewing , Meredith S. Shiels , Catherine M. Pichardo , Jennifer K. McGee-Avila , Wayne R. Lawrence
{"title":"美国县社会经济地位与癌症过早死亡率的关系。","authors":"Aleah L. Thomas , Rachel J. Kulchar , Erica S. Stephens , Lee Mason , Sarah S. Jackson , Alexandra R. Harris , Aldenise P. Ewing , Meredith S. Shiels , Catherine M. Pichardo , Jennifer K. McGee-Avila , Wayne R. Lawrence","doi":"10.1016/j.canep.2025.102747","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>There are consistent data demonstrating socioeconomic status (SES) is associated with cancer survivorship among older adults, but research on the relationship between area-level SES and risk of premature mortality from cancer remains not well understood. This study investigated the association between county-level SES and premature mortality from cancer.</div></div><div><h3>Methods</h3><div>Demographic characteristics and causes of death were ascertained from the national death certificate data for years 2016–2020. Premature cancer death was defined as cancer mortality between ages 25–64. County SES was calculated using the Yost Index and categorized into distribution-based quintiles (1 =lowest SES, 5=highest SES). To calculate the mortality-adjusted rate ratios (aRR) and corresponding 95 % confidence intervals (95 %CI) for the associations between county SES and cancer, we performed multivariable linear mixed models, adjusting for confounders.</div></div><div><h3>Results</h3><div>A total of 3143 counties were included. The age-adjusted mortality rates of all cancers combined were 107.6, 98.4, 88.6, 81.1, and 66.7 per 100,000 population for the 5 SES quintiles, respectively. Compared with high SES counties, low SES counties had a 58 % greater premature cancer mortality rate (aRR<sub>quintile 1 vs.</sub>5 =1.58, 95 %CI: 1.55–1.60). Similar associations were observed when stratified by sex, though risk was greatest among men ([aRR<sub>women</sub>=1.48, 95 %CI: 1.45–1.52]; [aRR<sub>men</sub>=1.66, 95 %CI: 1.62–1.70]). Among leading cancer types, the association was greatest for lung cancer mortality for the lowest SES counties (aRR=2.03; 95 %CI: 1.98–2.08).</div></div><div><h3>Conclusion</h3><div>Our findings demonstrate that lower SES counties are at greater risk of premature mortality from cancer. Place-based interventions should target the socioeconomic environment across the cancer control continuum.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"95 ","pages":"Article 102747"},"PeriodicalIF":2.4000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"County socioeconomic status and premature mortality from cancer in the United States\",\"authors\":\"Aleah L. Thomas , Rachel J. Kulchar , Erica S. Stephens , Lee Mason , Sarah S. Jackson , Alexandra R. Harris , Aldenise P. Ewing , Meredith S. Shiels , Catherine M. Pichardo , Jennifer K. McGee-Avila , Wayne R. Lawrence\",\"doi\":\"10.1016/j.canep.2025.102747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>There are consistent data demonstrating socioeconomic status (SES) is associated with cancer survivorship among older adults, but research on the relationship between area-level SES and risk of premature mortality from cancer remains not well understood. This study investigated the association between county-level SES and premature mortality from cancer.</div></div><div><h3>Methods</h3><div>Demographic characteristics and causes of death were ascertained from the national death certificate data for years 2016–2020. Premature cancer death was defined as cancer mortality between ages 25–64. County SES was calculated using the Yost Index and categorized into distribution-based quintiles (1 =lowest SES, 5=highest SES). To calculate the mortality-adjusted rate ratios (aRR) and corresponding 95 % confidence intervals (95 %CI) for the associations between county SES and cancer, we performed multivariable linear mixed models, adjusting for confounders.</div></div><div><h3>Results</h3><div>A total of 3143 counties were included. The age-adjusted mortality rates of all cancers combined were 107.6, 98.4, 88.6, 81.1, and 66.7 per 100,000 population for the 5 SES quintiles, respectively. Compared with high SES counties, low SES counties had a 58 % greater premature cancer mortality rate (aRR<sub>quintile 1 vs.</sub>5 =1.58, 95 %CI: 1.55–1.60). Similar associations were observed when stratified by sex, though risk was greatest among men ([aRR<sub>women</sub>=1.48, 95 %CI: 1.45–1.52]; [aRR<sub>men</sub>=1.66, 95 %CI: 1.62–1.70]). Among leading cancer types, the association was greatest for lung cancer mortality for the lowest SES counties (aRR=2.03; 95 %CI: 1.98–2.08).</div></div><div><h3>Conclusion</h3><div>Our findings demonstrate that lower SES counties are at greater risk of premature mortality from cancer. 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County socioeconomic status and premature mortality from cancer in the United States
Introduction
There are consistent data demonstrating socioeconomic status (SES) is associated with cancer survivorship among older adults, but research on the relationship between area-level SES and risk of premature mortality from cancer remains not well understood. This study investigated the association between county-level SES and premature mortality from cancer.
Methods
Demographic characteristics and causes of death were ascertained from the national death certificate data for years 2016–2020. Premature cancer death was defined as cancer mortality between ages 25–64. County SES was calculated using the Yost Index and categorized into distribution-based quintiles (1 =lowest SES, 5=highest SES). To calculate the mortality-adjusted rate ratios (aRR) and corresponding 95 % confidence intervals (95 %CI) for the associations between county SES and cancer, we performed multivariable linear mixed models, adjusting for confounders.
Results
A total of 3143 counties were included. The age-adjusted mortality rates of all cancers combined were 107.6, 98.4, 88.6, 81.1, and 66.7 per 100,000 population for the 5 SES quintiles, respectively. Compared with high SES counties, low SES counties had a 58 % greater premature cancer mortality rate (aRRquintile 1 vs.5 =1.58, 95 %CI: 1.55–1.60). Similar associations were observed when stratified by sex, though risk was greatest among men ([aRRwomen=1.48, 95 %CI: 1.45–1.52]; [aRRmen=1.66, 95 %CI: 1.62–1.70]). Among leading cancer types, the association was greatest for lung cancer mortality for the lowest SES counties (aRR=2.03; 95 %CI: 1.98–2.08).
Conclusion
Our findings demonstrate that lower SES counties are at greater risk of premature mortality from cancer. Place-based interventions should target the socioeconomic environment across the cancer control continuum.
期刊介绍:
Cancer Epidemiology is dedicated to increasing understanding about cancer causes, prevention and control. The scope of the journal embraces all aspects of cancer epidemiology including:
• Descriptive epidemiology
• Studies of risk factors for disease initiation, development and prognosis
• Screening and early detection
• Prevention and control
• Methodological issues
The journal publishes original research articles (full length and short reports), systematic reviews and meta-analyses, editorials, commentaries and letters to the editor commenting on previously published research.