甘肃某地日光温室作业者血清CC16与SP-D水平的研究

发布时间：2018-05-28 02:00

本文选题：日光温室作业 + 血清CC　；参考：《环境与职业医学》2017年06期

【摘要】：[目的]了解日光温室作业者血清克拉氏细胞蛋白16(Clara cell 16,CC16)和表面活性蛋白-D(surfactant protein-D,SP-D)的分布特征及可能的影响因素。[方法]选择甘肃省某村782名日光温室作业者作为研究对象,采集其空腹静脉血,采用ELISA测定血清中CC16和SP-D质量浓度(下称浓度)。分析性别、年龄、体质指数(BMI)、从事日光温室种植时间、个人拥有日光温室数量、吸烟、饮酒、个人防护用品使用情况等因素对血清CC16、SP-D浓度及CC16/SP-D值的影响。[结果]日光温室作业者血清CC16浓度P_5、P_(25)、M、P_(75)、P_(95)分别为22.94、51.04、81.81、139.74、394.60μg/L。不同年龄组间血清CC16浓度分布的差异具有统计学意义(P0.05),且随年龄增大而降低(r=-0.145,P0.01)。多重线性回归结果显示,血清CC16浓度可能的影响因素为年龄(b’=0.183,P0.001)。血清SP-D浓度P_5、P_(25)、M、P_(75)、P_(95)分别为1.54、2.37、3.24、4.37、7.32μg/L。不同年龄分组间血清SP-D浓度分布的差异具有统计学意义(P0.05),年龄为46~60岁组血清SP-D水平最高;吸烟者浓度明显高于非吸烟者(P0.05);个人拥有日光温室数量组间血清SP-D浓度分布的差异也具有统计学意义(P0.05),拥有2个日光温室的作业人员血清SP-D水平最高。多重线性回归结果显示,血清SP-D浓度可能的影响因素为吸烟(b’=0.121,P=0.001)、从业时间(b’=0.087,P=0.015)、饮酒(b’=-0.081,P=0.026)。血清CC16/SP-D值的P_5、P_(25)、M、P_(75)、P_(95)分别为6.73、14.95、24.89、44.11、150.30。不同年龄组作业人员血清CC16/SP-D值分布的差异具有统计学意义(P0.05),并随年龄增大而降低(r=-0.179,P0.01)。不同从业时间组间血清CC16/SP-D值分布的差异具有统计学意义(P0.05),作业时间6~10年组人员最高;非吸烟者浓度明显高于吸烟者(P0.05)。多重线性回归结果显示,血清CC16/SP-D可能的影响因素为年龄(b’=-0.216,P0.001)和吸烟(b’=-0.076,P=0.031)。[结论]日光温室作业可能影响作业者血清CC16、SP-D和CC16/SP-D值水平,可能的影响因素为年龄、从业时间、吸烟及饮酒,提示血清CC16、SP-D和CC16/SP-D值可作为日光温室作业者呼吸系统健康损害的生物标志。
[Abstract]:[objective] to investigate the distribution characteristics and possible influencing factors of serum 16(Clara cell 16 CC16 and surface-active protein DU surfactant protein-DG SP-D in solar-greenhouse operators. [methods] A total of 782 solar greenhouse operators from a village in Gansu Province were selected to collect their fasting venous blood, and ELISA was used to determine the mass concentrations of CC16 and SP-D in serum. The effects of sex, age, body mass index (BMI), planting time in solar greenhouse, number of solar greenhouse, smoking, alcohol consumption and use of personal protective equipment on serum CC16 SP-D concentration and CC16/SP-D value were analyzed. [results] the serum CC16 concentration of solar-greenhouse operators was 22.94 / 51.04 and 81.81139.79.4394.60 渭 g / L respectively. The distribution of serum CC16 in different age groups had statistical significance (P0.05A), and decreased with the increase of age. The results of multiple linear regression showed that the possible influencing factor of serum CC16 concentration was the age of 0.183 P0.001. The serum SP-D concentration P _ (5) / P _ (_ _ _ The distribution of serum SP-D in different age groups was statistically significant (P 0.05), and the highest level of serum SP-D was found in the age group of 46 ~ 60 years old. The concentration of serum SP-D in smokers was significantly higher than that in non-smokers, and the distribution of serum SP-D in individuals with solar greenhouse was significantly higher than that in non-smokers. The serum SP-D level of workers with two solar greenhouses was the highest. The results of multiple linear regression showed that the possible influencing factors of serum SP-D concentration were smoking (0.121g / kg), working time (0.087%), drinking (0.081%) and drinking (0.026%). The P5s of serum CC16/SP-D are 6.73 / 14.95 / 24.89 / 44.11150.30 / P / _ _ _. The distribution of serum CC16/SP-D in different age groups was statistically significant (P 0.05), and decreased with age. The distribution of serum CC16/SP-D in different working time groups had statistical significance (P0.05A), and the highest concentration of nonsmokers was found in 6 ~ 10 years group, and the concentration of non-smokers was significantly higher than that of smokers (P0.05). The results of multiple linear regression showed that the possible influencing factors of serum CC16/SP-D were age group (-0.216p 0.001) and smoking group (n = 0.076). [conclusion] the level of serum CC16 SP-D and CC16/SP-D may be affected by solar greenhouse operation. The possible factors are age, working time, smoking and drinking. The results suggest that serum CC16 SP-D and CC16/SP-D may be used as biomarkers of respiratory health damage in solar greenhouse operators.
【作者单位】：北京大学公共卫生学院;中国疾病预防控制中心职业卫生与中毒控制所;甘肃省疾病预防控制中心;
【分类号】：R139

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