Department of Epidemiology, School of Public Health, University of Michigan, USA.
Soc Sci Med. 2010 Dec;71(11):1935-42. doi: 10.1016/j.socscimed.2010.09.027. Epub 2010 Oct 21.
The use of wealth as a measure of socioeconomic status (SES) remains uncommon in epidemiological studies. When used, wealth is often measured crudely and at a single point in time. Our study explores the relationship between wealth and three cardiovascular disease (CVD) risk factors (smoking, obesity and hypertension) in a US population. We improve upon existing literature by using a detailed and validated measure of wealth in a longitudinal setting. We used four waves of data from the Panel Study of Income Dynamics (PSID) collected between 1999 and 2005. Inverse probability weights were employed to control for time-varying confounding and to estimate both relative (risk ratio) and absolute (risk difference) measures of effect. Wealth was defined as inflation-adjusted net worth and specified as a six category variable: one category for those with less than or equal to zero wealth and quintiles of positive wealth. After adjusting for income and other time-varying confounders, as well as baseline covariates, the risk of becoming obese was inversely related to wealth. There was a 40%-89% higher risk of becoming obese among the less wealthy relative to the wealthiest quintile and 11 to 25 excess cases (per 1000 persons) among the less wealthy groups over six years of follow up. Smoking initiation had similar but more moderate effects; risk ratios and differences both revealed a smaller magnitude of effect compared to obesity. Of the three CVD risk factors examined here, hypertension incidence had the weakest association with wealth, showing a smaller increased risk and fewer excess cases among the less wealthy groups. In conclusion, this study found a strong inverse association between wealth and obesity incidence, a moderate inverse association between wealth and smoking initiation and a weak inverse association between wealth and hypertension incidence after controlling for income and other time-varying confounders.
财富作为社会经济地位(SES)的衡量标准在流行病学研究中并不常见。当使用财富作为衡量标准时,通常是粗略地衡量,并且只在一个时间点上进行衡量。我们的研究探讨了财富与美国人群中三种心血管疾病(CVD)风险因素(吸烟、肥胖和高血压)之间的关系。我们通过在纵向研究中使用详细和经过验证的财富衡量标准,改进了现有文献。我们使用了 1999 年至 2005 年间收集的收入动态面板研究(PSID)的四个波次的数据。采用逆概率权重来控制随时间变化的混杂因素,并估计相对(风险比)和绝对(风险差异)效应度量。财富定义为经通胀调整后的净资产,并指定为六类变量:一类是财富低于或等于零的人群,另外五类是财富为正的人群。在调整收入和其他随时间变化的混杂因素以及基线协变量后,肥胖的风险与财富呈负相关。与最富有的五分位数相比,较不富裕的人群肥胖的风险增加了 40%-89%,在六年的随访期间,较不富裕的人群中肥胖的人数增加了 11 到 25 人(每 1000 人)。吸烟起始也有类似但更温和的影响;风险比和差异都显示出与肥胖相比,影响幅度较小。在研究的三个 CVD 风险因素中,高血压发病率与财富的关联最弱,在较不富裕的人群中,高血压的风险增加较小,超额病例数较少。总之,本研究在控制收入和其他随时间变化的混杂因素后,发现财富与肥胖发病率之间存在很强的负相关,与吸烟起始之间存在中度负相关,与高血压发病率之间存在较弱的负相关。