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Do changes in traditional coronary heart disease risk factors over time explain the association between socio-economic status and coronary heart disease?

机译:传统冠心病危险因素随时间的变化是否解释了社会经济状况与冠心病之间的关系?

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Background Socioeconomic status (SES) predicts coronary heart disease independently of the traditional risk factors included in the Framingham risk score. However, it is unknown whether changes in Framingham risk score variables over time explain the association between SES and coronary heart disease. We examined this question given its relevance to risk assessment in clinical decision making. Methods The Atherosclerosis Risk in Communities study data (initiated in 1987 with 10-years follow-up of 15,495 adults aged 45-64 years in four Southern and Mid-Western communities) were used. SES was assessed at baseline, dichotomized as low SES (defined as low education and/or low income) or not. The time dependent variables - smoking, total and high density lipoprotein cholesterol, systolic blood pressure and use of blood pressure lowering medication - were assessed every three years. Ten-year incidence of coronary heart disease was based on EKG and cardiac enzyme criteria, or adjudicated death certificate data. Cox survival analyses examined the contribution of SES to heart disease risk independent of baseline Framingham risk score, without and with further adjustment for the time dependent variables. Results Adjusting for baseline Framingham risk score, low SES was associated with an increased coronary heart disease risk (hazard ratio [HR] = 1.53; 95% Confidence Interval [CI], 1.27 to1.85). After further adjustment for the time dependent variables, the SES effect remained significant (HR = 1.44; 95% CI, 1.19 to1.74). Conclusion Using Framingham Risk Score alone under estimated the coronary heart disease risk in low SES persons. This bias was not eliminated by subsequent changes in Framingham risk score variables.
机译:背景社会经济状况(SES)可以独立于Framingham风险评分中包括的传统危险因素来预测冠心病。但是,尚不知道弗雷明汉风险评分变量随时间的变化是否可以解释SES与冠心病之间的关系。由于该问题与临床决策中的风险评估相关,因此我们对其进行了研究。方法使用社区动脉粥样硬化风险研究数据(1987年发起,对南部和中西部四个社区的15495名年龄在45-64岁的成年人进行了10年的随访)。 SES在基线进行评估,分为低SES(定义为低学历和/或低收入)。每三年评估一次随时间变化的变量-吸烟,总胆固醇和高密度脂蛋白胆固醇,收缩压和使用降压药。冠心病的十年发病率基于心电图和心脏酶标准或判定的死亡证明数据。 Cox生存分析检查了SES对心脏病风险的影响,而与基线Framingham风险评分无关,并且未对时间依赖性变量进行进一步调整。结果调整基线Framingham风险评分后,低SES与冠心病风险增加相关(危险比[HR] = 1.53; 95%可信区间[CI]为1.27至1.85)。在进一步调整与时间相关的变量后,SES效果仍然显着(HR = 1.44; 95%CI,1.19至1.74)。结论单独使用Framingham风险评分可以估算低SES患者的冠心病风险。随后的Framingham风险评分变量变化并未消除这种偏见。

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