Seeman Teresa, Merkin Sharon S, Crimmins Eileen, Koretz Brandon, Charette Susan, Karlamangla Arun
Division of Geriatrics, UCLA School of Medicine, 10945 Le Comte Ave., Suite 2339, Los Angeles, CA 90095-1687, USA.
Soc Sci Med. 2008 Jan;66(1):72-87. doi: 10.1016/j.socscimed.2007.08.027. Epub 2007 Oct 24.
Data from the nationally representative US National Health and Nutrition Examination Survey (NHANES) III cohort were used to examine the hypothesis that socio-economic status is consistently and negatively associated with levels of biological risk, as measured by nine biological parameters known to predict health risks (diastolic and systolic blood pressure, pulse, HDL and total cholesterol, glycosylated hemoglobin, c-reactive protein, albumin and waist-hip ratio), resulting in greater cumulative burdens of biological risk among those of lower education and/or income. As hypothesized, consistent education and income gradients were seen for biological parameters reflecting cardiovascular, metabolic and inflammatory risk: those with lower education and income exhibiting greater prevalence of high-risk values for each of nine individual biological risk factors. Significant education and income gradients were also seen for summary indices reflecting cumulative burdens of cardiovascular, metabolic and inflammatory risks as well as overall total biological risks. Multivariable cumulative logistic regression models revealed that the education and income effects were each independently and negatively associated with cumulative biological risks, and that these effects remained significant independent of age, gender, ethnicity and lifestyle factors such as smoking and physical activity. There were no significant ethnic differences in the patterns of association between socio-economic status and biological risks, but older age was associated with significantly weaker education and income gradients.
来自具有全国代表性的美国国家健康与营养检查调查(NHANES)III队列的数据,被用于检验以下假设:社会经济地位与生物风险水平始终呈负相关,生物风险水平由九个已知可预测健康风险的生物参数衡量(舒张压和收缩压、脉搏、高密度脂蛋白和总胆固醇、糖化血红蛋白、C反应蛋白、白蛋白和腰臀比),这导致受教育程度较低和/或收入较低者累积的生物风险负担更大。正如所假设的那样,在反映心血管、代谢和炎症风险的生物参数方面,观察到了一致的教育和收入梯度:受教育程度较低和收入较低者在九个个体生物风险因素中的每一个因素上,高风险值的患病率都更高。在反映心血管、代谢和炎症风险以及总体总生物风险累积负担的汇总指标方面,也观察到了显著的教育和收入梯度。多变量累积逻辑回归模型显示,教育和收入效应各自独立且与累积生物风险呈负相关,并且这些效应在独立于年龄、性别、种族以及吸烟和体育活动等生活方式因素的情况下仍然显著。社会经济地位与生物风险之间的关联模式不存在显著的种族差异,但年龄较大与显著较弱的教育和收入梯度相关。