| 孙全富,邹剑明,刘玉升,等.阳江高本底地区居民健康流行病学调查数据库与统计分析方法[J].中华放射医学与防护杂志,1997,17(6):381-385.Sun Quanfu,Zou Jianming,Liu Yusheng,et al.Databases and statistical methods of cohort studies (1979-1995) in Yangjiang, China[J].Chin J Radiol Med Prot,1997,17(6):381-385 |
| 阳江高本底地区居民健康流行病学调查数据库与统计分析方法 |
| Databases and statistical methods of cohort studies (1979-1995) in Yangjiang, China |
| 投稿时间：1997-06-23 修订日期：1997-08-29 |
| DOI： |
| 中文关键词: 群组研究 数据库 剂量估算 危险分析 |
| 英文关键词:Cohort study Database Dose reconstruction Risk estimates |
| 基金项目: |
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| 中文摘要: |
| 目的 研究应用计算机数据库技术及先进统计分析方法,对阳江高本底地区10多万人20余年的健康随访研究资料和剂量学调查资料进行储存、管理和分析。方法 通过调研和比较分析,确定采用Foxbase系列数据库管理系统按专题建立数据库,借助于ID号实现记录连接；一般统计分析由SAS完成；交叉分组人年列表由Epicure中的Datab完成；癌症相对危险分析用AMFIT程序。结果 建立了40MB的各专题研究库,主要包括：10余万人的人口学数据库(1979～1995)、1.2万人的死因数据库(1979～1995)和526个村庄6783户、5273人的剂量数据库。提出了动态群组研究资料(1979～1986)与固定群组研究资料(1987～1995)的合并方法：首选方法是建立假想的基于记录连接的以1979年为起点的(固定)群组。另一方法是将不同阶段群组研究的人年表分层直接相加。计算了每个成员基于卧室内、起居室内、室外村平均剂量率与性别-年龄别居留因子的累积剂量。完成了以性别、atainedage、随访年代及剂量交叉分组的人年列表,对癌症死亡资料(1979～1990)进行了危险分析。结论 应用计算机数据库管理系统与统计分析技术使阳江高本底地区研 |
| 英文摘要: |
| Objective Database management system and advanced statistical analysis were brought into practice around 1986 for data maintenance, lifetime dose estimation, and risk analysis in epidemiological studies in high background radiation areas of Yangjiang, Guangdong, China, which began in the early 1970s and covered more than 100,000 subjects. Methods We chose Foxbase series, a popular database management system for PC, to set up databases for our survey. Records can be linked through ID code for each subject in the cohort. General analysis including dose calculation was conducted using SAS package. Person years tabulation was calculated by Datab in Epicure. Standard Poisson model was used to compare relative risks among different dose rate groups. Excess relative risks based on cumulative dose were estimated using AMFIT in Epicure with stratification by sex, attained age and calendar years. Results There are epidemiological databases of some 40 MB available to risk analysis, mainly including databases of cohort follow up and deaths of 12000 subjects for the periods 1979—1986 and 1987—1995, and dosimetric database for 6783 households in 526 hamlets. Because of no strict projeetion relationship between database of the two periods of 1979—1986 and 1987—1995, we developed methods to combine the data of the two periods into one for risk analysis. The first one is to set up a theoretical cohort of 1979—1995 based on record linkage between the two periods. The other method is simply to sum up stratified person year tables of different periods. It is suggested through extensive analysis of dosimetric data that indoor exposures should be divided further into two parts (exposure received on bed and those received during other indoor activites), outdoor exposure is homogeneous within a hamlet, and occupancy factors are sex-and-age dependent. Cumulative dose estimates based upon hamlet specific average of dose rates in bedroom, living room, and outdoor and sex age specific occupancy factors are derived for each cohort member. Person years and number of deaths are tabulated with stratification by sex, attained age, calender years, and dose. Cancer risks are analyzed for the period of 1979—1990. Conclusion The epidemiological studies in high background radiation areas of Yangjiang, have been greatly improved by extensively using database management system and advanced statistical analysis with more attention paid to standardization and systemization of survey data management. |
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