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1.
Shanghai Journal of Preventive Medicine ; (12): 247-251, 2022.
Article in Chinese | WPRIM | ID: wpr-923969

ABSTRACT

Objective To characterize the distribution and assess the exposure to phthalic acid esters (PAEs) in the indoor dust of Shanghai City. Methods Samples were collected from 33 sampling sites, including homes, hotels, offices and public places, in Shanghai in 2018, 2019, and 2020. The samples were pretreated by 100 sieves, extracted and concentrated, and then analyzed by gas chromatography-mass spectrometry in selected ion mode (SIM). Results Results on the characteristics of PAEs in indoor dust in different places showed that concentrations of PAEs were in a range of <0.01-2 464 mg·kg-1.The average concentration of 16 PAEs was 613 mg·kg-1. Bis(2-ethylhexyl) phthalate (DEHP), di-iso-butyl phthalate (DiBP), di-n-butyl phthalate (DBP) and di-n-octyl phthalate (DnOP) were the main components of PAEs in indoor dust, accounting for approximately 99.5% of 16 PAEs. The intake of DEHP, DBP, DEP and BBP was lower than the tolerable daily intake (TDI) and reference doses (RfD) set by EU CSTEE and U.S. EPA. Conclusion Average daily dose (ADD) via indoor dust is estimated, and the order of intake through different pathways is hand-oral intake>skin contact>respiratory inhalation. Exposure risk of PAEs in children is greater than that in adults.

2.
Shanghai Journal of Preventive Medicine ; (12): 247-251, 2022.
Article in Chinese | WPRIM | ID: wpr-923947

ABSTRACT

Objective To characterize the distribution and assess the exposure to phthalic acid esters (PAEs) in the indoor dust of Shanghai City. Methods Samples were collected from 33 sampling sites, including homes, hotels, offices and public places, in Shanghai in 2018, 2019, and 2020. The samples were pretreated by 100 sieves, extracted and concentrated, and then analyzed by gas chromatography-mass spectrometry in selected ion mode (SIM). Results Results on the characteristics of PAEs in indoor dust in different places showed that concentrations of PAEs were in a range of <0.01-2 464 mg·kg-1.The average concentration of 16 PAEs was 613 mg·kg-1. Bis(2-ethylhexyl) phthalate (DEHP), di-iso-butyl phthalate (DiBP), di-n-butyl phthalate (DBP) and di-n-octyl phthalate (DnOP) were the main components of PAEs in indoor dust, accounting for approximately 99.5% of 16 PAEs. The intake of DEHP, DBP, DEP and BBP was lower than the tolerable daily intake (TDI) and reference doses (RfD) set by EU CSTEE and U.S. EPA. Conclusion Average daily dose (ADD) via indoor dust is estimated, and the order of intake through different pathways is hand-oral intake>skin contact>respiratory inhalation. Exposure risk of PAEs in children is greater than that in adults.

3.
Journal of Environmental and Occupational Medicine ; (12): 1237-1243, 2021.
Article in Chinese | WPRIM | ID: wpr-960725

ABSTRACT

Background Diabetes mellitus is a major public health issue at present. Previous studies have shown that ambient air pollution is a risk factor for diabetes. Objective This study aims to explore the acute effects of ambient air pollution on diabetes related death in Shanghai Jing’an District. Methods Daily air pollution data, meteorological data, and diabetes related mortality data in 2013−2019 in Shanghai Jing’an District were collected. A generalized additive model (GAM) was established to conduct time-series analysis on the short-term effect of ambient air pollution on diabetes related mortality, and gender- and age-stratified analysis on susceptibility of various groups to ambient air pollution exposures. Results For every 10 μg·m−3 increase of the concentrations of PM2.5, PM10, SO2, and NO2, the diabetes related mortality increased by 2.47% (95%CI: 1.56%−3.38%), 2.02% (95%CI: 1.29%−2.75%), 5.75% (95%CI: 2.99%−8.58%), and 3.93% (95%CI: 2.49%−5.39%) at lag05 respectively (P<0.05). In the stratified analysis, exposures to increased concentrations of PM2.5, PM10, SO2, and NO2 raised the mortality risks from diabetes in male, female, and ≥65 years oldgroups (P<0.05). However, the differences in mortality risks from diabetes due to air pollution within gender and age groups were statistically insignificant. Conclusion In Shanghai Jing'an District, the elevated levels of ambient air pollutants, including PM2.5, PM10, SO2, and NO2, are significantly associated with the increase of diabetes related mortality, and there are lag effects and cumulative effects. The ≥65 years olds are more susceptible to the impact of air pollution on diabetes related deaths.

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