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氟斑牙危险因素的非条件Logistic回归分析 被引量:8

Logistic regression analysis on risk factors of dental fluorosis
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摘要 目的了解古蔺县中、小学生的氟斑牙患病情况,探讨氟斑牙发病的影响因素。方法采用分层整群随机抽样的方法对轻、中、重病区的中、小学生进行问卷调查和氟斑牙诊断。结果该地区中、小学生氟斑牙患病率为56.32%,其中8-12岁儿童氟斑牙患病率为50.00%。地氟病健康知识及格率仅为37.12%。年龄(OR=1.419,95%CI:1.255—1.605)、居住在农村(OR=1.416,95%CI:1.120~1.790)和病区类型严重(OR=1.747,95%CI:1.600—1.906)是氟斑牙患病的危险因素。经济状况越好(OR=0.765,95%CI:0.656~0.892)、母亲文化程度越高(OR=0.899,95%CI:0.828~0.977)氟斑牙患病率越低。结论该地区氟斑牙患病率仍然较高,年龄、经济状况和母亲文化程度等因素对氟斑牙患病存在影响,应针对影响因素采用综合防治措施,以促进该地区地氟病防治工作的可持续发展。 Objective To investigate the prevalence rate of dental fluorosis of primary and secondary school students in Gulin county and explore the influencing factors. Methods Stratified cluster sampling method was adopted and the unified questionnaire was conducted among primary and secondary school students in light, medium and serious endemi- c areas of Gulin county. Results The prevalence rate of primary and secondary school students' dental fluorosis was 56. 32% in Gulin county, and students aged 8-12 accounted for 50.00%. The pass rate of health knowledge examination was only 37.12%. Age (OR = 1. 419, 95% CI: 1. 255-1. 605) , living in rural areas ( OR = 1. 416,95% CI: 1. 120- 1. 790) or serious endemic areas ( OR = 1. 747,95% CI:I. 600-1. 906) were major risk factors for the occurrence of dental fluorosis. The better the family economic condition (OR =0. 765,95% CI:0. 656-0. 892) or education background of moth- ers was( OR =0. 899,95% CI:0. 828-0. 977) , the lower prevalence rate of dental fluorosis would be. Conclusions The prevalence rate of dental fluorosis in Gulin is still high, and the influencing factors include age, family economic condition, education background of mother etc. Paying attention to influencing factors and taking comprehensive control measures will make the dental fluorosis prevention and control more effective and sustainable.
出处 《中华疾病控制杂志》 CAS CSCD 北大核心 2016年第11期1144-1146,共3页 Chinese Journal of Disease Control & Prevention
基金 泸州市科技局项目(20130198)
关键词 地方病 危险因素 LOGISTIC模型 Endemic diseases Risk factors Logistic models
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