首都医科大学学报 ›› 2018, Vol. 39 ›› Issue (4): 575-580.doi: 10.3969/j.issn.1006-7795.2018.04.018

• 基础研究 • 上一篇    下一篇

北京市体检人群平均血红蛋白浓度与糖尿病的关系

陶丽新1, 毛琦2, 郭秀花1, 孙殿钦3, 田飞飞1, 闫炎4   

  1. 1. 首都医科大学公共卫生学院流行病与卫生统计学系, 北京 100069;
    2. 首都医科大学公共卫生学院预防医学2012级, 北京 100069;
    3. 首都医科大学公共卫生学院预防医学2014级, 北京 100069;
    4. 首都医科大学电力教学医院健康管理部, 北京 100073
  • 收稿日期:2017-12-29 出版日期:2018-07-21 发布日期:2018-07-21
  • 通讯作者: 闫炎 E-mail:doctoryanyan@126.com

Relationship between mean corpuscular hemoglobin concentration and diabetes mellitus in health examination population in Beijing

Tao Lixin1, Mao Qi2, Guo Xiuhua1, Sun Dianqin3, Tian Feifei1, Yan Yan4   

  1. 1. Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China;
    2. Grade 2012, Preventive Medicine, Preventive Medicine School of Public Health, Capital Medical University, Beijing 100069, China;
    3. Grade 2014, Preventive Medicine, Preventive Medicine School of Public Health, Capital Medical University, Beijing 100069, China;
    4. Department of Health Management, Beijing Electric Power Hospital, Capital Medical University, Beijing 100073, China
  • Received:2017-12-29 Online:2018-07-21 Published:2018-07-21

摘要: 目的 探讨平均血红蛋白浓度与糖尿病的关系,为早期发现预防糖尿病提供依据。方法 以来自北京小汤山医院和北京电力医院体检中心的体检人群为基础,采用立意抽样的方法选取固定单位人群,分析指标为平均血红蛋白浓度,同时控制年龄、体质量指数、收缩压、舒张压、低密度脂蛋白胆固醇、高密度脂蛋白胆固醇、总胆固醇、三酰甘油等因素。将平均血红蛋白浓度按照四分位数分成4个水平,再将人群按照性别分成两组,采用二次推断函数分析平均血红蛋白浓度与糖尿病的关系。结果 按照纳入、排除标准筛选后共有6 658名体检人员入选,其中男性4 454例,女性2 204例。一般情况分析得到男性女性人群平均血红蛋白浓度差异均有统计学意义(P<0.05);由二次推断函数分析可知,平均血红蛋白浓度与男性、女性人群糖尿病发生风险均呈正相关(P<0.05)。结论 平均血红蛋白浓度与男性、女性糖尿病的发生呈正相关。

关键词: 糖尿病, 平均血红蛋白浓度, 二次推断函数

Abstract: Objective To investigate the relationship between mean corpuscular hemoglobin concentration (MCHC) and diabetes mellitus, and to provide evidence for early detection of diabetes mellitus. Methods From the health center of Beijing Xiao Tang Shan Hospital medical population, by using purposive sampling to select fixed unit groups, analysis of indicators MCHC, while controlling for age, body mass index, systolic blood pressure, diastolic blood pressure, low density lipoprotein cholesterol, high density lipoprotein, total cholesterol, triglyceride and other confounding factors. According to the three quartiles of MCHC were divided into four levels, then the crowd divided into two groups according to gender, first the quadratic inference functions (QIF) was used to analyse the relationship between MCHC and diabetes, then the Bayesian network is used to prove the correlation between MCHC and diabetes. Results After screening a total of 6 658 physical examination personnel were selected, including male 4 454, female 2 204. The general condition analysis showed that MCHC levels were different in men and women (P<0.05). According to the QIF analysis, the level of MCHC was positively correlated with the risk of diabetes in both sexes (P<0.05), and the correlation is verified again in the Bayesian network model causal path. Conclusion Mean corpuscular hemoglobin concentration is positively correlated with diabetes mellitus among men and women.

Key words: diabetes mellitus, mean corpuscular hemoglobin concentration, quadratic inference function

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