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[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(P<0.05),且随年龄增大而降低(r=-0.145,P<0.01)。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,P<0.001)。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(P<0.05),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(P<0.05);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(P<0.05),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(P<0.05),并随年龄增大而降低(r=-0.179,P<0.01)。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(P<0.05),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(P<0.05)。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,P<0.001)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。
[Objective] To understand the distribution and possible influencing factors of serum Clara cell 16 (CL16) and surfactant protein-D (SP-D) in solar greenhouse. [Method] A total of 782 solar greenhouse operators in a village of Gansu Province were selected as experimental subjects. Fasting venous blood was collected and serum concentrations of CC16 and SP-D (hereinafter referred to as concentrations) were measured by ELISA. Analysis of sex, age, body mass index (BMI), the concentration of CC16, SP-D and CC16 / SP-D in solar greenhouse planting time, the number of individuals owning solar greenhouse, smoking, drinking, personal protective equipment usage and other factors influences. [Result] The concentrations of serum CC16, P 25, M, P 75 and P 95 of solar greenhouse workers were 22.94, 51.04, 81.81, 139.74 and 394.60 μg / L, respectively. The distribution of serum CC16 in different age groups had statistical significance (P <0.05), and decreased with age (r = -0.145, P <0.01). Multiple linear regression analysis showed that the possible influencing factor of serum CC16 concentration was age (b ’= 0.183, P <0.001). Serum SP-D concentration P_5, P_ (25), M, P_ (75), P_ (95) were 1.54,2.37,3.24,4.37,7.32μg / L. The serum SP-D levels in different age groups were significantly different (P <0.05). The serum SP-D level was the highest in 46-60 years old group, and was significantly higher in smokers than in non-smokers (P <0.05) ; There was also a statistically significant difference in the distribution of SP-D concentration between groups with individual solar greenhouse (P <0.05), and the highest SP-D level among workers with two solar greenhouse. Multiple linear regression analysis showed that the possible influencing factors of serum SP-D concentration were smoking (b ’= 0.121, P = 0.001), working time (b’ = 0.087, P = 0.015) = 0.026). The values of P_5, P_ (25), M, P_ (75) and P_ (95) in serum CC16 / SP-D were 6.73,14.95,24.89,44.11,150.30, respectively. The distribution of serum CC16 / SP-D in workers of different age groups had statistical significance (P <0.05), and decreased with age (r = -0.179, P <0.01). The distribution of serum CC16 / SP-D in different working time groups was statistically significant (P <0.05), and the working time was the highest among 6-10 years group; the non-smoker’s concentration was significantly higher than that of smokers (P <0.05). Multiple linear regression analysis showed that the possible influencing factors of serum CC16 / SP-D were age (b ’= - 0.216, P <0.001) and smoking (b’ = - 0.076, P = 0.031). [Conclusion] The operation of solar greenhouse may affect the serum CC16, SP-D and CC16 / SP-D levels of workers. The possible influencing factors are age, working time, smoking and drinking, suggesting that serum CC16, SP- D and CC16 / SP The -D value serves as a biomarker of respiratory damage to solar greenhouse operators.