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陶丽新, 杨昆, 黄芳芳, 岳静, 张凤, 刘相佟, 郭秀花. 北京市体检人群白细胞及其分类计数与2型糖尿病患病关系[J]. 中国公共卫生, 2019, 35(2): 277-281. DOI: 10.11847/zgggws1115370
引用本文: 陶丽新, 杨昆, 黄芳芳, 岳静, 张凤, 刘相佟, 郭秀花. 北京市体检人群白细胞及其分类计数与2型糖尿病患病关系[J]. 中国公共卫生, 2019, 35(2): 277-281. DOI: 10.11847/zgggws1115370
Li-xin TAO, Kun YANG, Fang-fang HUANG, . Association of total and differential count of leucocytes with type two diabetes among physical examinees in Beijing[J]. Chinese Journal of Public Health, 2019, 35(2): 277-281. DOI: 10.11847/zgggws1115370
Citation: Li-xin TAO, Kun YANG, Fang-fang HUANG, . Association of total and differential count of leucocytes with type two diabetes among physical examinees in Beijing[J]. Chinese Journal of Public Health, 2019, 35(2): 277-281. DOI: 10.11847/zgggws1115370

北京市体检人群白细胞及其分类计数与2型糖尿病患病关系

Association of total and differential count of leucocytes with type two diabetes among physical examinees in Beijing

  • 摘要:
      目的  探讨北京市体检人群白细胞及其分类计数与2型糖尿病患病的关系,为2型糖尿病的早期诊断和预防提供理论依据。
      方法  采用立意抽样方法抽取北京市体检中心2016年1 — 12月参加健康体检的16 855名体检人群作为研究对象,根据2型糖尿病诊断标准将其分为糖尿病和非糖尿病2组,采用多因素非条件logistic回归模型分析白细胞及其分类计数水平对2型糖尿病患病风险的影响。
      结果  糖尿病组患者白细胞计数、中性粒细胞计数、淋巴细胞计数、单核细胞计数、嗜酸性粒细胞计数和嗜碱性粒细胞计数中位数分别为6.91 × 109/L、4.13 × 109/L、2.18 × 109/L、0.37 × 109/L、0.13 × 109/L和0.03 × 109/L,均高于非糖尿病人群的6.14 × 109/L、3.50 × 109/L、2.09 × 109/L、0.33 × 109/L、0.10 × 109/L和0.02 × 109/L,差异均有统计学意义(均P < 0.001)。在控制了年龄、腰围、总胆固醇水平、吸烟情况、饮酒情况和是否患高血压等混杂因素后,多因素非条件logistic回归分析结果显示,男性白细胞计数5.50 × 109/L~6.39 × 109/L、 > 7.49 × 109和中性粒细胞计数 > 2.96 × 109/L是2型糖尿病患病的危险因素;女性白细胞计数 > 5.10 × 109/L、中性粒细胞计数 > 2.74 × 109/L、淋巴细胞计数 > 2.39 × 109/L、单核细胞计数 > 0.37 × 109/L和嗜酸性粒细胞计数 > 0.14 × 109/L是2型糖尿病患病的危险因素。
      结论  白细胞计数和中性粒细胞计数与2型糖尿病患病是2型糖尿病患病的危险因素,而淋巴细胞计数、单核细胞计数和嗜酸性粒细胞计数与2型糖尿病的关系具有性别特异性。

     

    Abstract:
      Objective  To explore the association between total and differential count of leucocytes with type 2 diabetes mellitus (T2DM) among physical examinees in Beijing and to provide a theoretical basis for early diagnosis and prevention of T2DM.
      Methods  We recruited a total of 16 855 health examinees at Beijing Physical Examination Center from January through December 2016 with purpose sampling and assigned them into a T2DM and non-T2DM group according to the diagnosis criteria of T2DM. We performed unconditional multivariate logistic regression to assess the influence of total and differential count of leucocytes on risk of T2DM.
      Results  Higher average counts were detected in T2DM group than in non-T2DM group for total leucocytes (6.91 × 109/L vs. 6.14 × 109/L), neutrophils (4.13 × 109/L vs. 3.50 × 109/L), lymphocytes (2.18 × 109/L vs. 2.09 × 109/L), monocytes (0.37 × 109/L vs. 0.33 × 109/L), eosnophils (0.13 × 109/L vs. 0.10 × 109/L), and basophils (0.03 × 109/L vs. 0.02 × 109/L) (P < 0.05 for all). After adjusting for age, waist circumference, total cholesterol, smoking, alcohol consumption, and hypertension, the results of unconditional multivariate logistic regression analyses demonstrated that risk factors of T2DM included a total leucocyte count of 5.50 × 109/L – 6.39 × 109/L and greater than 7.49 × 109/L and a neutrophil count greater than 2.96 × 109/L for the male participants; while a total leucocyte count greater than 5.10 × 109/L, neutrophil count greater than 2.74 × 109/L, lymphocyte count greater than 2.39 × 109/L, monocyte count greater than 0.37 × 109/L, and eosnophil count greater than 0.14 × 109/L were risk factors of T2DM for the female participants.
      Conclusion  Blood leucocyte and neutrophil count associate with the risk of type 2 diabetes mellitus and the associations of lymphocyte, monocyte, and eosinophil count with type 2 diabetes mellitus risk are gender specific among adult health examinees.

     

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