MORTALITY SURVEILLANCE OF MRFIT SCREENEES

这是一项使用国家死亡指数来确定16年的提议 1973-75年对361,662名中年男性进行的死亡状况筛查 多危险因素干预试验。这些数据将用于研究 血压、血清胆固醇和 吸烟与冠心病、中风和癌症死亡率的比较 与所有原因和特定原因死亡率相关的风险 拉美裔、白人、非拉美裔和黑人，并评估风险因素 与罕见癌症的关系以及与 死亡证明，但很少被指定为死亡的根本原因 死亡。 到目前为止，该队列中已确认超过24，00人死亡 全国死亡指数通过12年的跟踪调查。死亡证明 已被地理学家收集和编码为23,778(99%)。其中包括 23,778例死亡，8,168例死亡；788例死亡 8,061人死于癌症；844人死于 消化系统疾病；794人死于呼吸系统疾病。其中 癌症，我们记录了2,657起肺癌，1,043起由于10% 每年死亡人数的增加，即增加的四个 建议的历年后续行动将使 死亡人数超过40,000人约占男性总数的11% 已经检查过了。 在死亡人数如此之多的情况下，对罕见死因的分析 以及它们与胆固醇、血压、 吸烟和种族分析和记录。最近收购的 将使用小区域的气象和人口数据进行搜索 对于这些因素与变量之间的可能关系，将其转化为风险因素 分析。 这种关于风险因素和死亡率结果的数据集是无与伦比的 尊重大小和实施高水平的质量控制 数据收集。这些方面使得这些数据对于 长期随访和分析。

This is a proposal to use the National Death Index to determine 16 year mortality status of the 361,662 middle-aged men screened in 1973-75 for the Multiple Risk Factor Intervention Trial. These data will be used to study the persistence of associations of blood pressure, serum cholesterol and cigarette smoking with coronary, stroke and cancer mortality, to compare risk association with all cause and cause-specific mortality among Hispanics, white non-hispanics and blacks and to assess risk factor relationship with rare cancers and with conditions frequently mentioned on the death certificate but rarely specified as the underlying cause of death. Over 24,00 deaths have been identified in this cohort to date using the National Death Index through 12 years of follow-up. Death certificates have been collected and coded by nosologists for 23,778 (99%). Among these 23,778 deaths, 8,168 deaths are due to coronary heart disease; 788 deaths are due to stroke; 8,061 deaths are due to cancer; 844 deaths are due to digestive diseases; and 794 deaths are due to respiratory diseases. Among the cancers, we have recorded 2,657 due to lung, 1,043 due to a 10% increase in the number of deaths per year, that the four additional calendar years of follow-up proposed will bring the total number of decedents to over 40,000 approximately 11% of the total number of men screened. With such a large number of deaths, analyses of uncommon causes of death can be studied and their association with cholesterol, blood pressure, cigarette smoking, and race analyzed and documented. Recently acquired meteorological and demographic data for small areas will be used to search for possible relationship of such factors to variables into risk factor analyses. This data set on risk factors and mortality outcome is unparalleled with respect to size and to the high level of quality control imposed during data collection. These aspects make these data particularly valuable for long-term follow-up and analyses.