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山东大学学报(医学版) ›› 2014, Vol. 52 ›› Issue (12): 64-68.doi: 10.6040/j.issn.1671-7554.0.2014.406

• 临床医学 • 上一篇    下一篇

糖尿病家族史和高血压与2型糖尿病患病风险性的关联分析

刘丽1, 邵宇涵2   

  1. 1. 青岛市疾病预防控制中心 社区科, 山东 青岛 266033;
    2. 青岛市疾病预防控制中心 药械科, 山东 青岛 266033
  • 收稿日期:2014-06-18 修回日期:2014-11-04 发布日期:2014-12-10
  • 通讯作者: 邵宇涵。E-mail:liulilily1985@163.com E-mail:liulilily1985@163.com
  • 基金资助:
    世界糖尿病基金会(WDF07-308)

Correlation analysis of type 2 diabetes with diabetes family history and hypertension

LIU Li1, SHAO Yuhan2   

  1. 1. Department of Community Public Health, Qingdao Center for Disease Control and Prevention, Qingdao 266033, Shandong, China;
    2. Department of Biological Instrument, Qingdao Center for Disease Control and Prevention, Qingdao 266033, Shandong, China
  • Received:2014-06-18 Revised:2014-11-04 Published:2014-12-10

摘要: 目的 探讨糖尿病家族史与高血压对2型糖尿病(T2DM)的发病是否存在交互作用。方法 选取现场调查筛出的新发T2DM患者791例为病例组,以同期调查的血糖正常者4 374例为对照组,比较两组糖尿病家族史与高血压的患病率差异,运用相加模型分析糖尿病家族史和高血压在T2DM的发病中是否存在交互作用。结果 病例组有糖尿病家族史的比例(χ2=40.13, P<0.001)和高血压患病率(χ2=120.35, P<0.001)均高于对照组。采用多因素非条件Logistic回归模型控制混杂因素后,糖尿病家族史与高血压共同存在对T2DM患病的协同效应指数为1.19,归因交互效应为0.52,归因交互效应百分比为12.2%,纯因子间归因交互效应百分比15.71%。结论 糖尿病家族史与高血压对T2DM的发病有正交互作用,两者同时存在可增加罹患 T2DM的危险性。

关键词: 交互作用, 高血压, 糖尿病家族史, 关联分析, 2型糖尿病

Abstract: Objective To explore whether diabetes family history and hypertension have an interaction effect on the incidence of type 2 diabetes. Methods A total of 791 newly diagnosed patients with type 2 diabetes (T2DM) screened by our investigation were chosen as the case group, and 4 374 people with normal blood glucose in the same investigation were enrolled as the control group. The prevalence of diabetes family history and hypertension of the two groups were compared, and their correlation with T2DM was analyzed with an additive model. Results The prevalence of diabetes family history (χ2 = 40.1, P<0.001) and hypertension (χ2=145.4, P<0.001) of the case group were higher than those of the control group. After adjusting confounding factors by using a multiple Logistic regression model, the synergy index was 1.19, the relative excess risk due to interaction was 0.52, the attributable interaction percentage was 12.20%, and the pure attributable interaction percentage was 15.71%. Conclusion Diabetes family history and hypertension have a positive effect on the incidence of type 2 diabetes, and simultaneous existence of the two can lead to high risk of type 2 diabetes.

Key words: Hypertension, Type 2 diabetes, Correlation analysis, Diabetes family history, Interaction effect

中图分类号: 

  • R587.1
[1] 娄能俊, 杜书玉, 辛颖, 等. 糖尿病家族史对糖尿病发病相关危险因素的影响[J]. 山东大学学报: 医学版, 2010, 48(2): 4-6. LOU Nengjun, DU Shuyu, XIN Ying, et al. Contribution of diabetes family history to the morbidity rate of diabetes and other risk factors[J]. Journal of Shandong university: Health sciences, 2010, 48(2): 4-6.
[2] 马晓静, 贾伟平, 胡承, 等. 2型糖尿病家系遗传特征的初步分析[J]. 中华医学杂志, 2008, 88(36): 2541-2543. MA Xiaojing, JIA Weiping, HU Cheng, et al. Genetic characteristics of familial type 2 diabetes pedigrees: a preliminary analysis of 4468 persons from 715 pedigrees[J]. Natl Med J China, 2008, 88(36): 2541-2543.
[3] Ohlson L O, Larsson B, Björntorp P, et al. Risk factors for type 2 (non-insulin-dependent) diabetes mellitus. Thirteen and one-half years of follow-up of the participants in a study of Swedish men born in 1913[J]. Diabetologia, 1988, 31(11): 798-805.
[4] World Health Organization. 1999 World Health Organization International Society of Hypertension Guidelines for the Management of Hypertension[J]. Guidelines Subcommittee, 1999, 17(2): 151-183.
[5] Alberti K G, Zimmet P Z. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation[J]. Diabet Med, 1998, 15(7): 539-553.
[6] Yang W, Lu J, Weng J, et al. Prevalence of diabetes among men and women in China[J]. N Engl J Med, 2010, 362(12): 1090-1101.
[7] 张素华, 余路, 邱鸿鑫, 等. 家族性非胰岛素依赖性糖尿病患者的家系调查[J] .中华医学杂志, 1996, 76(6): 435-439. ZHANG Suhua, YU Lu, QIU Hongxin, et al. Pedigree investigation of familial non-insulin dependent diabetes mellitus[J]. Natl Med J China, 1996, 76(6): 435-439.
[8] Isomaa B, Forsen B, Lahti K, et al. A family history of diabetes is associated with reduced physical fitness in the Prevalence, Prediction and Prevention of Diabetes (PPP)-Botnia study[J]. Diabetologia, 2010, 53(8): 1709-1713.
[9] Hemang Parikh, Leif Groop. Candidate genes for type 2 diabetes[J]. Rev Endocr Metab Disord, 2004, 5(2): 151-176.
[10] 李鹏飞, 娄能俊, 刘云台, 等. 用危险因素评分法分析超重及肥胖对糖尿病的影响[J]. 山东大学学报: 医学版, 2010, 48(9): 5-8. LI Pengfei, LOU Nengjun, LIU Yuntai, et al. Contribution of overweight and obesity to the prevalence rate of diabetes and its other risk factor[J]. Journal of Shandong university: Health sciences, 2010, 48(9): 5-8.
[11] 刘茂玲, 吕郁豪, 邹宇华, 等. 2型糖尿病危险因素的交互作用研究[J]. 中国慢性病预防与控制, 2008, 16(2): 136-139. LIU Maoling, LV Yuhao, ZOU Yuhua, et al. The interaction between risk factors of type 2 diabetes mellitus[J]. Chin J Prev Contr Chron Non-commun Dis, 2008, 16(2): 136-139.
[12] 肖卉, 王建华, 职心乐. 天津市农村人群2型糖尿病危险因素的病例对照研究[J]. 中华疾病控制杂志, 2010, 14(2): 95-98. XIAO Hui, WANG Jianhua, ZHI Xinle, et al. A case-control study on risk factors of type 2 diabetes mellitus in suburban of Tianjin[J]. Chin J Dis Control Prev, 2010, 14(2): 95-98.
[13] 丁学屏. 糖尿病合并高血压病[C]. 第九次全国中医糖尿病学术大会论文汇编, 2006: 94- 113.
[14] 刘力生. 高血压[M]. 北京: 人民卫生出版社, 2001.
[15] Higashiura K, Ura N, Takada T, et al. Alteration of muscle fiber composition linking to insulin resistance and hypertension in fructose-fed rats[J]. American Journal of Hypertension, 1999, 12(6): 596-602.
[16] Hosmer D W, Lemeshow S. Confidence interval estimation of interaction[J]. Epidemiology, 1992, 3(5): 452-456.
[17] Andersson T, Alfredsson L, Kallberg H, et al. Calculating measures of biological interaction[J]. Eur J Epidemiol, 2005, 20(7): 575-579.
[18] 赵仲堂. 流行病研究方法与应用[M]. 北京: 科学出版社, 2005.
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