EPIDEMIOLOGY OF CARDIOVASCULAR DISEASES IN THE ELDERLY

本研究的目标是1)确定和2)描述 中国人群中心血管疾病危险因素的分布 一群自由生活的老年人。风险识别 老年人心血管疾病的因素很重要，因为1)心血管疾病是 美国老年人死亡和残疾的主要原因和2) 有证据表明，在这种情况下，心血管疾病是可以预防或延迟的 年龄段。 这些数据是由达尼丁计划收集的，这是一个人口- 基于老年健康计划，旨在筛查65人 几年来，他一直在治疗一系列医疗疾病。达尼丁 位于佛罗里达州达尼丁的项目一直在持续进行 自1975年7月开始运营。参与者每年都会接受筛查，并 在每次访问中都会收集有关心血管疾病和风险因素的大量数据。 信息可从问卷中获得(即家族病史， 吸毒、吸烟、饮酒)、体检(即心电图、脉搏 心率、血压)和实验室测量(即血糖、血脂、 尿酸)。目前(1986)已有5085名男性和女性 至少进行了一次筛查，已对1540人进行了筛查 八年了。这一参与相当于14,783人年 术后观察，平均随访4.9年。 分析将分为三个阶段。第一，跟进时间 将对每个参与者进行计算，并更改风险因素 将对状态进行分析。关于人口分布的描述性数据 危险因素和心血管疾病在整个队列中的患病率将 会被呈现出来。心血管疾病的发病率和死亡率将是 计算出来的。 在第二阶段，心血管疾病的发病率将通过以下方式计算 基线时风险因素水平的类别。心血管疾病的相对风险 (暴露的发病率/未暴露的发病率)将被计算 对于每个假设的风险因素。 第三阶段是多变量分析。回归模型将 的独立和交互效果。 已确定的危险因素对以下疾病的发病率和死亡率有影响 心血管疾病。 这项研究将提供有关患病率和风险的信息 大量自由生活的老年人口中的心血管疾病。身份识别 在可能增加老年人心血管疾病风险的因素中， 并且是可改变的/可治疗的，对公共卫生具有重大意义 重要，因为这些因素的变化可能会导致进一步 减少这一庞大且不断增长的细分市场中的事件/死亡 我们的人口。

The objective of this research is to 1) identify and 2) describe the distribution of risk factors for cardiovascular disease (CVD) in a cohort of free-living elderly persons. The identification of risk factors for CVD in older persons is important as 1) CVD is the leading cause of death and disability in elderly Americans and 2) there is evidence that CVD can be prevented or delayed in this age group. The data were collected by the Dunedin Program, a population- based geriatric health program designed to screen persons 65+ years for a wide range of medical disorders. The Dunedin Program, located in Dunedin, Florida, has been in continuous operation since July 1975. Participants are screened annually and extensive data on CVD and risk factors are gathered at each visit. Information is available from questionnaires (i.e. family history, drug use, smoking, alcohol use), physical exams (i.e. EKGs, pulse rate, blood pressure) and laboratory measures (i.e. glucose, lipids, uric acid). Currently (1986) 5,085 men and women have been screened at least once and 1,540 persons have been screened for eight years. This participation represents 14,783 person-years of observation with an average follow-up of 4.9 years. The analysis will consist of three phases. First, follow-up time for each participant will be computed, and changes in risk factor status will be analyzed. Descriptive data on the distribution of risk factors and the prevalence of CVD in the entire cohort will be presented. CVD incidence and mortality rates will be calculated. In the second phase, incidence rates of CVD will be computed by category of risk factor level at baseline. The relative risk of CVD (incidence in exposed/incidence in unexposed) will be calculated for each hypothesized risk factor. The third phase is multivariable analyses. Regression models will be used to determine independent and interactive effects of the identified risk factors on the incidence of and mortality from CVD. This study will provide information of the prevalence and risk of CVD in a large, free-living elderly population. The identification of factors which may both increase the risk of CVD in the aged, and be modifiable/treatable is of significant public health importance, as changes in these factors may lead to further reduction of events/deaths in this large and growing segment of our population.