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1999年至2018年美国各县过早癌症死亡率的社会经济不平等现象。

Socioeconomic Inequalities in Premature Cancer Mortality Among U.S. Counties During 1999 to 2018.

作者信息

Song Suhang, Duan Yuqi, Huang Junjie, Wong Martin C S, Chen Hongda, Trisolini Michael G, Labresh Kenneth A, Smith Sidney C, Jin Yinzi, Zheng Zhi-Jie

机构信息

Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, New York.

Department of Global Health, School of Public Health, Peking University, Beijing, P.R. China.

出版信息

Cancer Epidemiol Biomarkers Prev. 2021 Jul;30(7):1375-1386. doi: 10.1158/1055-9965.EPI-20-1534. Epub 2021 May 4.

Abstract

BACKGROUND

This study investigated socioeconomic inequalities in premature cancer mortality by cancer types, and evaluated the associations between socioeconomic status (SES) and premature cancer mortality by cancer types.

METHODS

Using multiple databases, cancer mortality was linked to SES and other county characteristics. The outcome measure was cancer mortality among adults ages 25-64 years in 3,028 U.S. counties, from 1999 to 2018. Socioeconomic inequalities in mortality were calculated as a concentration index (CI) by income (annual median household income), educational attainment (% with bachelor's degree or higher), and unemployment rate. A hierarchical linear mixed model and dominance analyses were used to investigate SES associated with county-level mortality. The analyses were also conducted by cancer types.

RESULTS

CIs of SES factors varied by cancer types. Low-SES counties showed increasing trends in mortality, while high-SES counties showed decreasing trends. Socioeconomic inequalities in mortality among high-SES counties were larger than those among low-SES counties. SES explained 25.73% of the mortality. County-level cancer mortality was associated with income, educational attainment, and unemployment rate, at -0.24 [95% (CI): -0.36 to -0.12], -0.68 (95% CI: -0.87 to -0.50), and 1.50 (95% CI: 0.92-2.07) deaths per 100,000 population with one-unit SES factors increase, respectively, after controlling for health care environment and population health.

CONCLUSIONS

SES acts as a key driver of premature cancer mortality, and socioeconomic inequalities differ by cancer types.

IMPACT

Focused efforts that target socioeconomic drivers of mortalities and inequalities are warranted for designing cancer-prevention implementation strategies and control programs and policies for socioeconomically underprivileged groups.

摘要

背景

本研究按癌症类型调查了过早癌症死亡率方面的社会经济不平等情况,并评估了社会经济地位(SES)与按癌症类型划分的过早癌症死亡率之间的关联。

方法

利用多个数据库,将癌症死亡率与SES及其他县特征相关联。结局指标是1999年至2018年美国3028个县中25至64岁成年人的癌症死亡率。死亡率方面的社会经济不平等情况通过收入(家庭年收入中位数)、教育程度(拥有学士学位或更高学位的比例)和失业率计算得出集中指数(CI)。采用分层线性混合模型和优势分析来研究与县级死亡率相关的SES。分析也按癌症类型进行。

结果

SES因素的CI因癌症类型而异。低SES县的死亡率呈上升趋势,而高SES县的死亡率呈下降趋势。高SES县死亡率方面的社会经济不平等情况大于低SES县。SES解释了25.73%的死亡率。在控制了医疗保健环境和人群健康后,县级癌症死亡率与收入、教育程度和失业率相关,SES因素每增加一个单位,每10万人中分别有-0.24 [95%(CI):-0.36至-0.12]、-0.68(95% CI:-0.87至-0.50)和1.50(95% CI:0.92 - 2.07)人死亡。

结论

SES是过早癌症死亡率的关键驱动因素,且社会经济不平等情况因癌症类型而异。

影响

针对死亡率和不平等情况的社会经济驱动因素进行有针对性的努力,对于设计癌症预防实施策略以及为社会经济弱势群体制定控制项目和政策是必要的。

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