EPIDEMIOLOGY

该项目的目的是进行以人群为基础的流行病学 中国人群中社会因素与高血压关系的研究 年长的非裔美国人。符合理论模型，即 整合中心活动，考察的社会因素将包括 社会经济地位，慢性压力，应激生活事件，宗教， 和社会支持。因变量包括患病率和 高血压的发病率、高血压的治疗控制和使用 抗高血压药物。具体目标有三个：(1) 进行以人群为基础的流行病学研究，检查 非洲老年人高血压与社会因素的关系 美国人，(2)收集各种适用于 对老年非裔美国人高血压的调查，以及(3) 建立致力于流行病学研究的调查人员网络 关于高血压与社会因素的关系。将作出特别努力，以 让年轻的调查员和少数族裔调查员加入这个网络。 杜克大学的EPESE数据将是使用的主要数据。这些数据几乎是 非常适合于拟议的研究，因为(A)数据来自 确定的地理区域的代表性样本，(B)EPESE数据焦点 关于慢性疾病，包括高血压和预期的社会因素 为了影响疾病的发病和病程，(C)样本包括大量 非洲裔美国人人数[基线时N=2,261人(55%)]，以及(D) 是关于EPESE受访者的七年纵向数据。其他数据 套装将用于复制结果，检查中年人以及 年长的非裔美国人，并调查未包括在内的变量 杜克大学的EPESE数据中。主要的分析方法是多变量 模特们。将使用回归技术来检查这些关系 社会因素与高血压结局之间的关系。比例风险 模型将用于对时变预报器的影响进行建模。

The purpose of this project is to perform population-based epidemiologic research on the relationships among social factors and hypertension among older African Americans. In line with the theoretical model that integrates center activities, the social factors examined will include socioeconomic status, chronic stress, stressful life events, religion, and social support. Dependent variables include the prevalence and incidence of hypertension, therapeutic control of hypertension, and use of antihypertensive medications. There are three specific aims: (1) to perform population-based epidemiologic research examining the relationships among social factors and hypertension among older African Americans, (2) to assemble a variety of data bases appropriate for investigations of hypertension among older African Americans, and (3) to develop a network of investigators committed to epidemiologic research on hypertension and social factors. Special efforts will be made to involve young investigators and minority investigators in this network. Duke EPESE data will be the primary data used. These data are nearly ideal for the proposed research because (a) the data are from a representative sample of a defined geographic area, (b) EPESE data focus on chronic diseases, including hypertension, and social factors expected to influence disease onset and course, (c) the sample includes a large number of African Americans [N = 2,261 (55%) at baseline], and (d) there are seven years of longitudinal data on EPESE respondents. Other data sets will be used to replicate results, examine middle-aged as well as older African Americans, and investigate variables that are not included in the Duke EPESE data. Primary methods of analysis are multivariate models. Regression techniques will be used to examine the relationships between social factors and hypertensive outcomes. Proportional hazard models will be used to model the effects of time-varying predictors.