摘要
目的 探讨肺癌危险因素配对分析中人群对照的选择方法 ,为开展肺癌危险因素监测提供依据。方法 利用《常见恶性肿瘤发病、死亡及危险因素监测方法研究》课题中北京、天津、上海、重庆 4市城区的调查资料 ,运用条件logistic回归分析方法对 3组 1∶1邻居 ,1∶1正常人 ,1∶2正常人匹配病例对照资料进行分析。结果 3组资料肺癌主要危险因素的OR值一致 ,食物因素等的结果有一定差异 ;邻居对照和正常人对照之间因素暴露率的差异很小。结论 在城市肺癌危险因素监测中 。
Objective To explore the methods to select population based controls in a pair matched case control study of risk factors for lung cancer and to lay foundation for development of their monitoring in urban areas Methods Data of cases of lung cancer and their three different groups of pair matched control based on population from the 《Study on surveillance for incidence and mortality of common malignant tumor and their risk factors》 in Beijing, Tianjin, Shanghai and Chongqing were personally interviewed and analyzed with conditional multivariate logistic regression using STATA software involving 1 312 pairs aged 35 74 Results Odds ratios for main risk factors were consistent with the three groups of controls, and there was certain difference in ORs for dietary factor, etc between the studies with three difference control groups There was little differences in frequencies of exposure to risk factors between studies with neighbor controls and normal controls Cigarette smoking, lower body mass index, long time depressed mood, lower capability of emotion regulation, previous respiratory diseases, family history of cancer in the first degree relatives significantly increased the risk for lung cancer after adjusted for age, education level, family average income and other risk factors Conclusion It was feasible to use population based controls instead of neighbor controls in surveillance for risk factors of lung cancer
出处
《中华预防医学杂志》
CAS
CSCD
北大核心
2000年第3期165-168,共4页
Chinese Journal of Preventive Medicine
关键词
肺肿瘤
LOGISTIC模型
危险因素
Lung neoplasms
Case control studies
Logistic models
Risk factors
