中文摘要：

目的 了解北京市朝阳区东风和团结湖社区家庭成员的口腔健康状况及相关社会行为危险因素，评价口腔健康状况与家庭聚集性以及社会-行为影响因素的关系。方法 采用社区招募的方法 ，选取符合设计要求的226个家庭，对这些家庭中的699名调查对象进行口腔检查和问卷调查。应用二分类反应变量多水平Logistic回归进行口腔健康状况及其社会-行为危险因素的多因素分析。结果 调查对象中，患龋261人，占37．3％，有牙周疾病的331人，占47．4％，出现上述两种口腔健康问题的共453人，占64．8％。二分类反应变量多水平Logistic回归分析表明，考虑家庭聚集性水平的拟合模型是有意义的（P=0．004），在考虑家庭聚集性的拟合模型中．龋齿和牙周疾病与下列因素有关：年龄（F=6．523，P=0．000）、文化程度（F=6．003，P=0．000）、婚姻状况（F=4．571，P=0．001）、1年内是否进行过口腔检查（F=3．981，P=0．046）、体重指数（F=2．630，P=0．049）和知识态度评分（F=10．562，P=0．001）。结论 出现上述两种口腔健康问题是存在家庭聚集性的。在考虑家庭聚集性的情况下。年龄、文化程度、婚姻状况、1年内是否进行过口腔检查、体重指数和知识态度评分是其社会-行为影响因素。

英文摘要：

Objective To describe the dental health status and the relating social-behavior risk factors of the residents from Dongfeng and Tuanjiehu Communitis of Chaoyang District in Beijing, in order to analyze the relationship between the dental heahh status and the family aggregation and the social-behavior risk factors. Methods Community recruitment method was used. The dental examinations and questionnaires were applied on 699 people from 226 families meeting the including requirements. The multi-level Logistic regression model was applied to analyze the relationship between the dental health status and the relating social-behavior factors. Results The prevalence of dental caries and periodontal diseases were 37.3% （261 cases） and 47.4% （331 cases） respectively, and the ratio of having any of the above two problems was 64.8% （453 cases） in selected people. Multi-level Logistic regression analysis showed that fitting model including family aggregation level was meaningful （P = 0.004）, and the dental health status was related to the following factors： age （F = 6.523, P = 0.000）, education （F = 6.003, P = 0.000）, marital status （F = 4.571, P = 0.001）, frequency of dental inspection （F = 3.981, P = 0.046）, BMI （F = 2.630, P = 0.049）, and score of awareness and attitude （F = 10.562, P = 0.001）. Conclusion The family aggregation effect is existed in analyzing the dental health status. In consideration of family aggregation effect, the social-behavior factors of dental health include age, education, marital status, frequency of dental inspection, BMI, and score of awareness and attitude.