Industrial pollutant emission and the major smog in China: from debates to action

Risk of illness-related school absenteeism for elementary students with exposure to PM2.5 and O3

Air pollution addresses short-term health effects on morbidity, especially for children. Assessing the impacts of air pollution on elementary students is critical for developing preparedness response strategies for this sensitive group. In the 2016-17 academic year, up to 687,748 groups of illness-related absence records and the information on whether the absentee had gone to a hospital or not were collected from 2564 elementary schools across Jiangsu Province China. We explored the associations between air pollution and illness-related records using a time-stratified case-crossover analysis with distributed lag non-linear design. An increase of 10 μg/m³ in the current-day concentration of PM_2.5 and O₃ was positively associated with illness-related absenteeism overall. The excess risk of absenteeism was 4.52 % (95%CI 4.37-4.67 %) for PM_2.5 and 0.25 % (95%CI 0.01-0.36 %) for O₃. The risk associated with O₃ was boosted for the frequent absentees who tended to have basic diseases or were more vulnerable to infectious diseases. Students in 43.1 % illness-related absenteeism, mainly due to highly infectious diseases, only received home nursing without going to a hospital. The increase in the number of illness cases associated with PM_2.5 and O₃ estimated based on the illness-related absence data was 41.5 % and 18.6 % higher than that evaluated based on hospital visit records. Such underestimations persisted in sensitivity analyses and persisted in subgroups classified by gender or grade. Together, the performance of illness-related absence records far outweighed that of hospital visit data regarding the thorough evaluation of air pollution-related illness cases for elementary students. Improvement in air quality and home health care education are warranted as well for the health benefits of children.

Urinary polycyclic aromatic hydrocarbon metabolites, peripheral blood mitochondrial DNA copy number, and neurobehavioral function in coke oven workers

BACKGROUND

Polycyclic aromatic hydrocarbons (PAHs) are the risk factors for workers' neurological performance, which were widely exist in the occupational environment.

OBJECTIVE

We aimed to investigate the dose-response relationship between various PAH metabolites and workers' neurobehavioral changes and to explore whether mitochondrial DNA copy number (mtDNAcn) can be used as a potential biomarker to reflect changes in neurobehavioral behavior.

METHOD

A total of 697 workers were recruited from a coke oven plant. The concentrations of eleven PAHs metabolites were determined by HPLC-MS/MS. Peripheral blood mtDNAcn was measured using QPCR. Neurobehavioral function was measured by NCTB questionnaire. The dose-response relationships were evaluated using restricted cubic spline models. Mediation analysis was also carried out.

RESULTS

We found dose-response relationships between urinary 2-hydroxynaphthalene (2-OH Nap), sum of PAH metabolites (Ʃ -OH PAHs) and total digit span (DSP), backward digit span (DSPB), forward digit span (DSPF) and mtDNAcn. Each one-unit increase in ln-transformed of 2-OH Nap or Ʃ -OH PAHs was associated with a 2.64 or 3.22 decrease in DSP, a 1.20 or 1.58 decrease in DSPF, a 1.44 or 1.62 decrease in DSPB and a 0.13 or 0.12 decrease in mtDNAcn. However, we did not find a significant mediation effect of mtDNAcn between PAHs metabolites and DSP, DSPF, or DSPB.

CONCLUSION

Our data indicated that workers urinary 2-hydroxynaphthalene and sum of PAH metabolites levels were inversely associated with mtDNAcn and neurobehavior, especially their auditory memory. However, there was no significant mediation effect of mtDNAcn between urinary PAHs metabolites and neurobehavior.

Smog and risk of overall and type-specific cardiovascular diseases: A pooled analysis of 53 cohort studies with 21.09 million participants

The reported associations of smog with the risk of cardiovascular disease (CVD) and CVD subtypes were inconsistent. We systematically searched the Pubmed (Medline) and Embase databases (from the inception to April 25, 2018) to identify the cohort studies investigating the association between smog and CVD and specific types of CVD. We conducted a meta-analysis for different types of air pollutants (PM_2.5, PM₁₀, NO₂, and O₃) in smog with the risk of specific types of CVD separately. We summarized the study-specific effect estimates using both the fixed effect model and the random effect model. The meta-analysis included 35 publications with 53 cohort studies. Overall, the associations between per 10 μg/m³ increase in PM_2.5 exposure and risk of CVD events, stroke events, ischemic heart disease(IHD) events were significant, with relative risks (RRs) of 1.11 (95% confidence interval: 1.07-1.15), 1.12 (95% CI: 1.08-1.16) and 1.14(95% CI: 1.08-1.21), respectively. PM_2.5, PM₁₀, NO₂, and O₃ exposure were associated with an increased risk of CVD mortality, with RRs of 1.11 (95% CI: 1.07-1.15), 1.09 (95% CI: 1.02-1.16), 1.23 (95% CI: 1.15-1.31) and 1.03 (95% CI: 1.02-1.05), respectively. Compared with PM₁₀, NO₂, and O₃ exposure, PM_2.5 exposure had a greater risk of stroke incidence and IHD incidence (RR 1.12, 95% CI 1.05-1.19 for stroke incidence; 1.19, 1.09-1.30 for IHD). However, no clear evidence for the associations of PM10 exposure with risk of CVD incidence, stroke incidence, and IHD incidence was observed. This meta-analysis confirms the evidence that PM_2.5 exposure was significantly associated with increased risk of CVD, stroke, and IHD. PM2.5, PM₁₀, NO₂, and O₃ exposure were separately associated with an increased risk of CVD mortality. There was a stronger association between PM_2.5 exposure and the risk of stroke and IHD incidence. It urgently needs well-designed studies to further to elaborate the biological and epidemiological mechanisms that link smog with CVD. MAIN FINDINGS: Compared with PM₁₀, NO₂, and O₃ exposures, PM_2.5 exposure was positively associated with increased risk of stroke and IHD incidence. For air pollutants and CVD events, the association of NO₂ with the risk CVD mortality is more significant.

A systematic ab initio optimization of monohydrates of HCl•HNO3•H2SO4 aggregates

Hydrates of HCl, HNO₃ and H₂SO₄ involved in polar stratospheric clouds capture the attention of researchers due to the mixtures composed with them. The molecular aggregates generated with these strong acids show different behaviors, geometries and nucleation reactions at atmospheric temperatures. Here is presented a systematic ab initio optimization study of monohydrates of HCl•HNO₃•H₂SO₄ using the Density Functional Theory, by means of geometry optimizations carried out with B3LYP hybrid method and aug-cc-pVTZ basis set, a high level of theory, within Gaussian 09 program. This systematic optimization procedure consists to situate systematically the H₂O molecule around the cluster in study, on the favorable positions to develop higher quantity of hydrogen bonds as possible, in order to obtain major quantity of different electronic structures of these monohydrates. Applying this systematic optimization methodology over previously optimized complexes of HCl, HNO₃ and H₂SO₄, the present theoretical approach provides thirty-two different optimized electronic structures of monohydrates that were yielded from seven initial groups of (HCl•HNO₃•H₂SO₄)-complex, placing the H₂O in eight positions around them. Moreover, their Infrared spectra have been predicted for all (HCl•HNO₃•H₂SO₄)-monohydrates achieved. Likewise, It is shown the outcomes of the electronic energies, relative Gibbs free energies, Infrared spectra, the wavenumbers of hydrogen bonds, inter-monomeric parameters, electronic structures of (HCl•HNO₃•H₂SO₄)-monohydrates. These monohydrates could be considered precursors of the atmospheric heterogeneous nucleation reactions. These results can be useful to experimentalists of Catalysis, Astrophysics, Corrosion of metals and ceramics, aromatic compounds reactions, even environmental pollution and industrial smog.