·糖尿病与营养·

　　徐忠良 贾俊婷 王竞 孙静 齐秀英

　　基金项目：国家自然科学基金资助项目(30471490)

　　作者单位：300070天津医科大学公共卫生学院流行病学教研室;天津医科大学总医院;天津市疾病预防控制中心

　　通讯作者：齐秀英，E-mail：qixiuying@tijmu.edu.cn　　

    【摘要】目的探讨饮食因素与成人隐匿性自身免疫性糖尿病(LADA)的关系。 方法采用分层整群抽样方法在天津市抽取8109名15岁以上常住居民作为研究对象，通过问卷调查获得研究对象既往各种食物摄入频度和摄入量以及饮食习惯;采用非条件Logistic回归分析各种食物摄入和饮食习惯与LADA的关系。结果以LADA患者为病例组，非糖尿病者为对照组，调整年龄、性别的作用后的分析结果显示鱼类摄入(OR=0.467，95%CI：0.282~0.772)、水果摄入(OR=0.587，95%CI：0.405~0.850)与LADA的低风险有关，而不按时三餐(OR=2.380，95%CI：1.143~4.959)、不按时早餐(OR=2.472，95%CI：1.098~5.568)与LADA的高风险有关。结论鱼类和水果摄入可能是LADA的保护因素，而不按时三餐和不按时早餐可能是LADA的危险因素。

　　【关键词】成人隐匿性自身免疫性糖尿病;饮食因素; Logistic回归分析

　　doi:10.3969/j.issn.1006-6187.2012.01.004

　　The correlation between dietary factors and latent autoimmune diabetes in adultsXU Zhong-liang，JIA Jun-ting，WANG Jing, et al. Department of Epidemiology, Public Health School, Tianjin Medical University, Tianjin 300070, China

　　Corresponding author：QI Xiu-ying，E-mail：qixiuying@tijmu.edu.cn

　　【Abstract】ObjectiveTo investigate the correlation between dietary factors and LADA. MethodsA total of 8,109 participants aged≥15 years and living in Tianjin, China, were enrolled. They were tested for diabetes and further for LADA diagnosis. Information on frequencies and amounts of various food intakes was collected with structured questionnaire. Logistic regression was used to estimate the odds ratios (ORs) and 95% CIs for the LADA-related dietary factors. ResultsIn logistic analysis of LADA versus non-DM group, the intakes of fishes (β=-0.762, OR=0.467, 95%CI: 0.282-0.772, P=0.003), fruits (β=-0.532, OR=0.587, 95%CI: 0.405-0.850, P=0.005) irregular dinner (β=0.867, OR=2.380,95%CI：1.143-4.959, P=0.021) and irregular breakfast (β=0.905, OR=2.472, 95%CI: 1.098-5.568, P=0.029)， were associated with prevalence of LADA after adjusting for age and sex. ConclusionThe intakes of fishes and fruits may be protective factors for LADA, whereas irregular dinner and irregular breakfast may be risk factors for LADA.

　　【Key words】Latent autoimmune diabetes in adults (LADA) ; Dietary factor; Logistic regression analysis