RESUMO
Background Sleep is a crucial physiological activity for the human body, and research has shown that air pollution can affect sleep quality. However, the association between polycyclic aromatic hydrocarbons (PAHs) exposure, neurotoxic compounds in air pollutants, and sleep quality remains uncertain. Objective To evaluate the association of PAHs exposure with sleep quality, and to provide evidence for improving sleep quality. Methods This study used a cross-sectional design. We selected 632 workers from a coking plant of a large state-owned enterprise as the exposure group, and 477 workers from the energy and power plant of the same enterprise as the control group. All workers worked in three shifts. A questionnaire survey was conducted to collect basic information including gender, years of service, age, educational level, smoking, alcohol consumption, consumption of fried foods, cooking frequency, types of cooking fuels. Worker's post-shift morning midstream urine was sampled to determine the concentrations of eight PAHs metabolites (OH-PAHs) using gas chromatography-tandem mass spectrometry (GC-MS). Worker's sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI). A higher PSQI score indicated a lower sleep quality. Associations of urinary OH-PAHs levels with sleep quality in the workers were analyzed using linear regression, Bayesian kernel-machine regression (BKMR), and quantile g-computation. Results The median (P25, P75) concentration of total OH-PAHs in the exposure group [88.84 (46.27, 151.96) μg·L−1] was higher than that in the control group [54.33 (24.86, 97.97) μg·L−1]. Additionally, the PSQI score (\begin{document}$ \overline{x}\pm {s} $\end{document}) in the exposure group (5.16±3.84) was higher than that in the control group (4.60±3.17). The multiple linear regression revealed that an increase in the sum of the concentrations of eight OH-PAHs after natural logarithmic transformation (lnΣ8OH-PAHs) was associated with an increase of 0.3646 (95%CI: 0.1337, 0.5955) in PSQI score, and an increase in lnΣlow-ring OH-PAHs was associated with an increase of 0.2954 (95%CI: 0.0941, 0.4967) in PSQI score. The BKMR analysis demonstrated that PSQI score was gradually increased as the increasing of lnΣ8OH-PAHs concentration. The quantile g-computation analysis indicated that a quantile increase in lnΣ8OH-PAHs concentration was associated with an increase of 0.4062% (95%CI: 0.1176%, 0.6949%) in PSQI score. Conclusion Compared to the controls, the coking workers show a higher concentration of urinary OH-PAHs and report worse sleep quality. The concentration of OH-PAHs is significantly negatively associated with sleep quality.
RESUMO
Background Long-term occupational polycyclic aromatic hydrocarbons (PAHs) exposure is an important risk factor for cognitive impairment. At the same time, it can also cause a decrease of brain-derived neurotrophic factor (BDNF). However, it is not clear whether BDNF plays a key role in the cognitive impairment of workers caused by occupational PAHs exposure. Objective To analyze the correlation between the levels of PAHs in the plasma of coke oven workers and cognitive impairment, and to explore the possible mediating effect of plasma BDNF level on the relationship between PAHs and cognitive impairment. Methods A cross-sectional survey was carried out to select 138 pairs of workers from a coking plant (exposure group) and an energy plant (control group) in a large enterprise in Taiyuan, and the matching variables included age, education level and smoking status. The basic data of the workers were collected by questionnaire. The cognitive function of the workers was assessed by the Montreal Cognitive Assessment (MoCA) scale. Fasting elbow venous blood was collected, the plasma concentrations of 16 PAHs were determined by high performance gas chromatography-mass spectrometry (GC-MS), and the plasma concentration of BDNF was detected by enzyme-linked immunosorbent assay (ELISA). Multiple linear regression model was used to analyze the relationship between 12 PAHs levels in plasma and MoCA scores, and Bootstrap method was used to analyze the mediating effect of BDNF in the relationship between these two indicators. Results The average (\begin{document}$\bar x \pm s $\end{document}) age of workers in the two groups was (48.46±5.04) years, the length of service was (21.45±9.78) years, and 58.7% of the participants reported their education level at secondary vocational school, high school, and above. The median level (25th and 75th percentiles) [M(P25, P75)] of plasma Σ12PAHs concentration of workers in the exposure group [20.937 (9.454, 38.387) μg·L−1] was significantly higher than that of the control group [9.997 (4.952, 23.770)μg·L−1] and the MoCA score (22.82±2.38) of the exposure group was significantly lower than that of the control group (24.60±5.67) (P<0.05). The plasma BDNF showed no significant difference between the exposure group [(29.99±9.80) μg·L−1] and the control group [(31.48±9.09) μg·L−1](P>0.05). Taking plasma PAHs as independent variable and MoCA score as dependent variable, after adjusting selected covariates, the results of multiple linear regression model showed that the MoCA score changed by −0.020 (95%CI: −0.035 - −0.005) for every 1 μg·L−1 increase of plasma Σ12PAHs. Low (<P33), medium ( P33~P66) and high (>P66) dummy variables were set according to the intertertile boundaries (8.31, 23.76) μg·L−1 of the plasma level of Σ12PAH of the workers. The change of MoCA score in the high concentration group versus the low concentration group was −1.167 (95%CI: −1.866 - −0.467). The MoCA score changed by 0.066 (95%CI: 0.012 - 0.119) for each 1 μg·L−1 increase in plasma BDNF level. The results of dichotomous logistic regression analysis showed that the risk of cognitive impairment in the high concentration group was 2.635 (95% CI: 1.085 - 6.398) times higher than that in the low concentration group. The results of mediating effect analysis showed that plasma BDNF level was an intermediate variable between PAHs and cognitive impairment, and 45.50% of PAHs-induced cognitive impairment risk was mediated by reduced BDNF level. Conclusion The level of plasma PAHs in coke oven workers is negatively correlated with MoCA score, and PAHs may mediate cognitive impairment by reducing plasma BDNF level.