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社会经济地位与卒中的关系:观察性和基于网络的孟德尔随机化研究。

Relationship between socioeconomic status and stroke: An observational and network Mendelian randomization study.

机构信息

Department of Clinical Epidemiology, Ningbo No.2 Hospital, Ningbo, Zhejiang, 315000, China; Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, Zhejiang, 315010, China; School of Public Health, Southeast University, Nanjing, Jiangsu, 210009, China.

Department of Clinical Epidemiology, Ningbo No.2 Hospital, Ningbo, Zhejiang, 315000, China; Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, Zhejiang, 315010, China.

出版信息

J Stroke Cerebrovasc Dis. 2024 Dec;33(12):108097. doi: 10.1016/j.jstrokecerebrovasdis.2024.108097. Epub 2024 Oct 22.

Abstract

BACKGROUND

The relationship between socioeconomic status (SES) and stroke remains controversial, and the underlying mediator is unclear. This study aimed to assess the causal relationship of SES with stroke and its subtypes and to identify potential modifiable risk factors responsible for this relationship.

METHODS

The study included 372,437 participants from the UK Biobank. Over an average period of 12.13 years, 6,457 individuals (2.7 %) were recorded as having experienced a stroke. Cox proportional hazards model was used to determine the relationship between SES (average annual household income before tax and age at the end of full-time education) and stroke, ischemic stroke, and hemorrhagic stroke. Two-sample Mendelian randomization (MR) was employed to assess the causal relationship between SES and stroke and its subtypes. Furthermore, network MR was utilized to evaluate the potential mediating role of modifiable risk factors for stroke in this causal relationship.

RESULTS

After adjusting for factors such as sociodemographic characteristics, health behaviors, health status, and past medical history, participants in the second highest income group showed the lowest risk of stroke, with a hazard ratio (HR) of 0.780 (95 % confidence interval [CI]: 0.702-0.866), and for ischemic stroke, the HR was 0.701 (95 % CI: 0.618-0.795). Those who completed full-time education at the latest age group(>18 years) had the lowest risk of stroke (HR: 0.906, 95 % CI: 0.830-0.988) and ischemic stroke (HR: 0.897, 95% CI: 0.811-0.992). MR analysis showed that higher income and education were both associated with a lower risk of stroke (income: inverse-variance-weighted odds ratio [OR] =0.796, 95 % CI: 0.675-0.940, education: OR = 0.631, 95 % CI: 0.557-0.716) and ischemic stroke (income: OR = 0.813, 95 % CI: 0.684-0.966, education: OR = 0.641, 95 % CI: 0.559-0.735). Additionally, hypertension had the highest mediating effect on this relationship. It accounted for 57.12 % of the effect of income on stroke, 51.24 % on ischemic stroke, and 27 % and 24 % for education.

CONCLUSION

Higher SES was associated with a lower risk of stroke and ischemic stroke, and hypertension had the highest mediating effect on this causal relationship. The results have significant public health implications, emphasizing the importance of early intervention to reduce the risk of stroke in low SES populations.

摘要

背景

社会经济地位(SES)与中风之间的关系仍存在争议,其潜在的中介因素尚不清楚。本研究旨在评估 SES 与中风及其亚型之间的因果关系,并确定导致这种关系的潜在可改变风险因素。

方法

该研究纳入了来自英国生物银行的 372437 名参与者。在平均 12.13 年的随访期间,有 6457 人(2.7%)记录为发生了中风。Cox 比例风险模型用于确定 SES(税前平均家庭年收入和完成全日制教育的年龄)与中风、缺血性中风和出血性中风之间的关系。两样本 Mendelian 随机化(MR)用于评估 SES 与中风及其亚型之间的因果关系。此外,网络 MR 用于评估中风在这种因果关系中潜在的可改变风险因素的中介作用。

结果

在调整社会人口特征、健康行为、健康状况和既往病史等因素后,处于第二高收入组的参与者中风风险最低,风险比(HR)为 0.780(95%置信区间[CI]:0.702-0.866),缺血性中风的 HR 为 0.701(95%CI:0.618-0.795)。那些在最晚年龄组(>18 岁)完成全日制教育的人中风风险最低(HR:0.906,95%CI:0.830-0.988)和缺血性中风(HR:0.897,95%CI:0.811-0.992)。MR 分析表明,较高的收入和教育水平均与中风(收入:逆方差加权比值[OR] =0.796,95%CI:0.675-0.940,教育:OR = 0.631,95%CI:0.557-0.716)和缺血性中风(收入:OR = 0.813,95%CI:0.684-0.966,教育:OR = 0.641,95%CI:0.559-0.735)的风险降低相关。此外,高血压对这种关系的中介作用最大。它占收入对中风影响的 57.12%,对缺血性中风的影响占 51.24%,对教育的影响占 27%和 24%。

结论

较高的 SES 与中风和缺血性中风的风险降低有关,高血压对这种因果关系的中介作用最大。研究结果具有重要的公共卫生意义,强调了早期干预以降低低 SES 人群中风风险的重要性。

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