Association Between Educational Inequality and Income Inequality With Metabolic Diseases and Cause-Specific Mortality

IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Jingya Niu, Xiaotong Li, Qiaoyun Chen, Wei Yang, Lixia Suo, Zhu Chen
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Abstract

Background

Educational attainment and economic status are important socioeconomic characteristics and are associated with metabolic diseases and premature death risk. However, their relative importance and contributions to premature death remain unclear.

Methods

Data were collected from ten survey waves of the National Health and Nutrition Examination Survey from 1999 to 2018. Deaths before age 75 from all-cause and cause-specific mortality were ascertained from linkage to the National Death Index with follow-up through 2019. Weighted Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CI) for death by educational attainment and income level. Population-attributable fractions (PAFs) were calculated to quantify the proportional contributions of low income and low educational attainment to mortality.

Results

Over an average of 10.1 years of follow-up, 4310 premature deaths were confirmed from 43 637 participants. Low income and low educational attainment were associated with increased risks of all-cause and cause-specific mortality, respectively. The associations between low educational attainment and mortality risk disappeared after mutual adjusting for income and education. However, among those with high school education or above, the adjusted HRs of middle income and low income were 1.81 (95% CI, 1.48–2.21) and 2.88 (95% CI, 2.31–3.59) for all-cause mortality. The PAF showed that low educational attainment did not contribute to mortality, while 33.0% of premature deaths were attributable to low income.

Conclusions

Income had a greater impact on mortality risk than education. The disparities in mortality risk could be reduced by narrowing the income differentials.

Abstract Image

教育不平等和收入不平等与代谢性疾病和原因特异性死亡率的关系
教育程度和经济状况是重要的社会经济特征,与代谢性疾病和过早死亡风险相关。然而,它们对过早死亡的相对重要性和贡献仍不清楚。方法收集1999 - 2018年全国健康与营养检查调查的10次调查数据。通过与国家死亡指数的联系,以及到2019年的随访,确定了75岁之前死于全因和特定原因死亡的人数。采用加权Cox比例风险模型估计受教育程度和收入水平导致死亡的风险比(hr)和95%置信区间(CI)。计算人口归因分数(PAFs)来量化低收入和低教育程度对死亡率的比例贡献。结果在平均10.1年的随访中,43 637名参与者中确认有4310人过早死亡。低收入和低教育程度分别与全因死亡率和特定原因死亡率的风险增加有关。低受教育程度与死亡风险之间的关联在收入和受教育程度相互调整后消失。然而,在高中及以上学历人群中,中等收入和低收入人群全因死亡率的调整hr分别为1.81 (95% CI, 1.48-2.21)和2.88 (95% CI, 2.31-3.59)。PAF表明,受教育程度低与死亡率无关,而33.0%的过早死亡可归因于低收入。结论收入对死亡风险的影响大于教育程度。死亡率风险的差异可以通过缩小收入差距来缩小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical Cardiology
Clinical Cardiology 医学-心血管系统
CiteScore
5.10
自引率
3.70%
发文量
189
审稿时长
4-8 weeks
期刊介绍: Clinical Cardiology provides a fully Gold Open Access forum for the publication of original clinical research, as well as brief reviews of diagnostic and therapeutic issues in cardiovascular medicine and cardiovascular surgery. The journal includes Clinical Investigations, Reviews, free standing editorials and commentaries, and bonus online-only content. The journal also publishes supplements, Expert Panel Discussions, sponsored clinical Reviews, Trial Designs, and Quality and Outcomes.
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