原发性肺癌危险因素的分析

本文使用病例对照研究方法,按照同性别、年龄相差2岁以内的匹配条件,调查了原发性肺癌的新病例、其它恶性肿瘤及非肿瘤病例各100例。分析方法:1、用Mantel-Haenszel法。2、用1:1条件Logistic回归分析法。3、用1:2条件Logistic回归分析方法。三种分析方法处理结果是存在着差异的。用Mantel-Haenszel结果有显著意义的因素男性有吸烟、做饭、慢性气管炎病史和精神创伤史。女性为吸烟、慢性气管炎病史、精神创伤史和生活用煤。肺癌与其它癌的1:1条件Logistic回归结果有显著意义的因素男性是吸烟,女性有吸烟和生活用煤。肺癌与非肿瘤的1:1条件Logistic回归结果有显著意义因素男性有吸烟、做饭和精神创伤史,女性有慢性气管炎病史。用1:2条件Logistic回归结果有显著意义的因素男性有吸烟、精神创伤史和慢性气管炎病史,女性有生活用煤、吸烟和精神创伤史上述几种方法的结果应以1:2条件Logistic回归分析结果为依据。

ADALYSIS OF RISK FACTORS FOR RIMARY LUNG CANCER

In his paper a study of 100 cases of primary lung cancer with 1:2 Matched Pair Case-Control Method was reported. The analytic methods used were l) Mantel Haenszel Method, 2) 1:1 Conditional Logistical Regression Method, and 3) 1:2 Conditional Logistical Regression Method.There were differences among the three analytic methods. The significance was that men had a history of smoking, cooking, chronic tracheitis and heavy psychic trauma women. had a history of smoking, chronic tracheitis and heavy psyohic trauma. The analy sisc of lung cancer and other kinds of cancer by 1:1 Conditional Logistical Regression showed significant factors: men were smokers woumen smoked and had a domestic fuel coal.The analysis of lung cancer and non-cancer by 1:1 Conditional Logistical Regression Method showed significant factors: men had a history of smoking, cooking and heavy psychic trauma womean had a history of chronic tracheitis. The analysis by 1:2 Conditional Logistical Regression showed significant factors: men had a history of smoking: heavy psychic truma and chronic tracheitis, women had a history of domectic fuel coal, smoking and heavy psychic trauma. The analytic result showed the 1:2 Canditional Logistic Regression should be based on.