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Causal Associations of Education Level With Cardiovascular Diseases, Cardiovascular Biomarkers, and Socioeconomic Factors

医学 孟德尔随机化 内科学 优势比 心肌梗塞 心房颤动 冲程(发动机) 置信区间 心脏病学 糖尿病 心力衰竭 冠状动脉疾病 内分泌学 基因型 机械工程 生物化学 化学 遗传变异 工程类 基因
作者
Mengjin Hu,Tao Yang,Yuejin Yang
出处
期刊:American Journal of Cardiology [Elsevier]
卷期号:213: 76-85
标识
DOI:10.1016/j.amjcard.2023.06.044
摘要

An inverse association of education level with cardiovascular diseases has been documented in observational studies, yet the causality and potential mechanisms remain to be determined. To systematically investigate the causal associations of education level with cardiovascular diseases, cardiovascular biomarkers, and socioeconomic factors, a 2-sample Mendelian randomization was performed. The results revealed that higher genetically determined education level was associated with lower risks of type 2 diabetes mellitus (odds ratio [OR] 0.54, 95% confidence interval [CI] 0.47 to 0.61, p = 3.04 × 10−23), peripheral artery disease (OR 0.62, 95% CI 0.51 to 0.76, p = 2.14 × 10−06), hypertension (OR 0.62, 95% CI 0.56 to 0.70, p = 4.22 × 10−16), coronary heart disease (OR 0.62, 95% CI 0.56 to 0.69, p = 3.50 × 10−19), myocardial infarction (OR 0.62, 95% CI 0.55 to 0.69, p = 2.58 × 10−16), ischemic stroke (OR 0.67, 95% CI 0.62 to 0.74, p = 6.00 × 10−19), deep vein thrombosis (OR 0.69, 95% CI 0.55 to 0.87, p = 0.0017), atrial fibrillation (OR 0.70, 95% CI 0.57 to 0.86, p = 0.0007), cardiac death (OR 0.71, 95% CI 0.60 to 0.86, p = 0.0003), heart failure (OR 0.72, 95% CI 0.65 to 0.79, p = 6.37 × 10−12), transient ischemic attack (OR 0.76, 95% CI 0.64 to 0.90, p = 0.0010), and venous thromboembolism (OR 0.79, 95% CI 0.67 to 0.92, p = 0.0028). Systolic blood pressure, diastolic blood pressure, C−reactive protein, body mass index, waist circumference, and triglycerides were decreased, whereas telomere length was increased. Subjects with higher education were less likely to smoke, intake salt, or be exposed to air pollution and depression state. They were more likely to take physical activity and possess more household income. In conclusion, higher education may causally decrease cardiovascular diseases through socioeconomic factors and cardiovascular biomarkers. Reducing education inequality is important in the management of cardiovascular diseases. An inverse association of education level with cardiovascular diseases has been documented in observational studies, yet the causality and potential mechanisms remain to be determined. To systematically investigate the causal associations of education level with cardiovascular diseases, cardiovascular biomarkers, and socioeconomic factors, a 2-sample Mendelian randomization was performed. The results revealed that higher genetically determined education level was associated with lower risks of type 2 diabetes mellitus (odds ratio [OR] 0.54, 95% confidence interval [CI] 0.47 to 0.61, p = 3.04 × 10−23), peripheral artery disease (OR 0.62, 95% CI 0.51 to 0.76, p = 2.14 × 10−06), hypertension (OR 0.62, 95% CI 0.56 to 0.70, p = 4.22 × 10−16), coronary heart disease (OR 0.62, 95% CI 0.56 to 0.69, p = 3.50 × 10−19), myocardial infarction (OR 0.62, 95% CI 0.55 to 0.69, p = 2.58 × 10−16), ischemic stroke (OR 0.67, 95% CI 0.62 to 0.74, p = 6.00 × 10−19), deep vein thrombosis (OR 0.69, 95% CI 0.55 to 0.87, p = 0.0017), atrial fibrillation (OR 0.70, 95% CI 0.57 to 0.86, p = 0.0007), cardiac death (OR 0.71, 95% CI 0.60 to 0.86, p = 0.0003), heart failure (OR 0.72, 95% CI 0.65 to 0.79, p = 6.37 × 10−12), transient ischemic attack (OR 0.76, 95% CI 0.64 to 0.90, p = 0.0010), and venous thromboembolism (OR 0.79, 95% CI 0.67 to 0.92, p = 0.0028). Systolic blood pressure, diastolic blood pressure, C−reactive protein, body mass index, waist circumference, and triglycerides were decreased, whereas telomere length was increased. Subjects with higher education were less likely to smoke, intake salt, or be exposed to air pollution and depression state. They were more likely to take physical activity and possess more household income. In conclusion, higher education may causally decrease cardiovascular diseases through socioeconomic factors and cardiovascular biomarkers. Reducing education inequality is important in the management of cardiovascular diseases.

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