Carel R S, Eviatar J
Prev Med. 1985 Sep;14(5):607-19. doi: 10.1016/0091-7435(85)90081-7.
The relationships between white blood cell (WBC) count, smoking, and other health variables were determined among 35,000 apparently healthy men and women. The effect of smoking on the WBC count was greater than that of all other variables. The leukocyte level and the variance in WBC count values increased with increased smoking intensity. The relationship between smoking intensity and leukocyte level is expressed quantitatively by the following regression equation: WBC (10(3)/mm3) = 7.1 + 0.05(SM), where SM has seven values according to the smoking level. Multiple regression analysis with additional variables other than smoking did not much improve the predictive value of the equation. The effect of smoking on WBC count could be only partially explained by an inflammatory process, e.g., chronic bronchitis. Relationships of statistical significance (but mostly with r values of less than 0.10) were found between WBC count and the following variables: hemoglobin, heart rate, weight (or Quetelet index), cholesterol, uric acid, creatinine, sex, ethnic origin, systolic blood pressure, height, blood sugar, and diastolic blood pressure. The normal WBC count range for smokers differs from that of nonsmokers and is shifted to the right according to the smoking level. This may have both a diagnostic and prognostic significance in different clinical settings.
在35000名看似健康的男性和女性中确定了白细胞(WBC)计数、吸烟与其他健康变量之间的关系。吸烟对白细胞计数的影响大于所有其他变量。随着吸烟强度的增加,白细胞水平和白细胞计数值的方差也增加。吸烟强度与白细胞水平之间的关系由以下回归方程定量表示:WBC(10³/mm³)=7.1 + 0.05(SM),其中SM根据吸烟水平有七个值。除吸烟外,加入其他变量进行多元回归分析并没有显著提高该方程的预测价值。吸烟对白细胞计数的影响只能部分地由炎症过程(如慢性支气管炎)来解释。在白细胞计数与以下变量之间发现了具有统计学意义的关系(但大多数r值小于0.10):血红蛋白、心率、体重(或奎特利指数)、胆固醇、尿酸、肌酐、性别、种族、收缩压、身高、血糖和舒张压。吸烟者的正常白细胞计数范围与非吸烟者不同,并且根据吸烟水平向右偏移。这在不同的临床环境中可能具有诊断和预后意义。