Publications by authors named "Philip K Hopke"

Background: Serum levels of anti-Mullerian hormone (AMH), a key indicator of ovarian aging, decrease with age. This decline may be accelerated by genetic and environmental factors. Accordingly, the present study investigates the relationship between serum AMH concentrations and exposure to heavy metals.

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Atmospheric ozone (O) formation mechanisms remain challenging to clarify through conventional approaches that rely on the observed or initial volatile organic compound (VOC) concentration data, as they fail to capture the dynamic photochemical consumption processes. This study presents a novel consumption-based methodology that quantifies photochemically consumed VOCs and their critical sources during the O formation, providing unprecedented insights into the pollution mechanisms. Through systematic analysis of 17 typical high O episodes in 2020 in Zhumadian, China, the results showed that the photochemical losses of alkenes had the most substantial impact on the O formation, with a contribution of ∼94.

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Urbanized basins are widely recognized as hotspots‌ of particulate matter (PM) pollution. Characterizing the vertical stratification of PM in these regions is essential to elucidate the influence of regional air pollutant transport, dynamics of planetary boundary layer, and pollution-meteorology feedbacks. Using Mount Emei (500-3100 m a.

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Background: Although maternal exposure to artificial light at night has shown negative associations with pregnancy outcomes, its impact on the risk of congenital heart disease remains unclear. This study examined the association between maternal exposure to artificial light at night during pregnancy and occurrence of congenital heart disease in offspring, considering potential interactions with sociodemographics.

Methods: We included newborns diagnosed prenatally with congential heart disease and healthy volunteers from 21 cities in southern China.

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We examined the association between air pollution and neutralizing antibody responses to COVID-19 vaccination in participants enrolled in a phase 3 clinical trial. Seventy-four adults were vaccinated with two doses of the AstraZeneca ChAdOx1 vectored vaccine (AZD1222) (5 x 1010 viral particles) at baseline and day 29, between Aug 28, 2020, to Jan 15, 2021, in Monroe County, NY. SARS-CoV-2 pseudovirus neutralizing ID50 titers (NAb) and total spike protein IgG were assessed at baseline and 15, 29, 43, 57 and 90 days after vaccination.

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Atmospheric particulate matter (PM), as a leading part of air pollution, affects health in many ways. Thus, identifying and quantifying the contribution of atmospheric particulate matter sources of PM is vital for developing effective air quality management strategies. Positive Matrix Factorization (PMF) is one of the most common methods for source apportionment.

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Background: Environmental access to exercise opportunities plays a crucial role in determining the level of physical activity within a population. However, it is unclear how environmental factors contribute to disparities in physical activity and health outcomes. We explored the associations between county-level access to exercise opportunities and cardiovascular disease (CVD) mortality across US counties.

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Fine particulate matter (PM) samples were collected in two neighboring cities, Beijing and Baoding, China. High-concentration events of PM in which the average mass concentration exceeded 75 µg/m were frequently observed during the heating season. Dispersion Normalized Positive Matrix Factorization was applied for the source apportionment of PM as minimize the dilution effects of meteorology and better reflect the source strengths in these two cities.

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Nontargeted screening (NTS) of halogenated contaminants in biota is part of the routine monitoring of the Great Lakes ecosystem. NTS can give insight into new chemicals with possible persistent, bioaccumulative, and toxic (PBT) properties and help quantify known PBT's degradation and transformation products. The most common ionization technique for NTS is electron impact ionization (EI) due to the consistent and easily standardized fragmentation patterns.

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CO and NO emissions from aviation transportation are critical components of overall transportation-related emissions, significantly impacting both climate and air quality. To implement more targeted and effective measures for mitigating emissions in this sector, it is essential to conduct empirical analyses that deepen our understanding of the factors influencing aviation emissions. Previous studies have predominantly focused on emissions from the entire transportation sector, with limited research specifically addressing aviation emissions.

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Background: Sex steroid hormones are critical for maintaining pregnancy and optimal fetal development. Air pollutants are potential endocrine disruptors that may disturb sex steroidogenesis during pregnancy, potentially leading to adverse health outcomes.

Methods: In the Environmental influences on Child Health Outcomes Understanding Pregnancy Signals and Infant Development pregnancy cohort (Rochester, NY), sex steroid concentrations were collected at study visits in early-, mid-, and late-pregnancy in 299 participants.

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Cigarette filter microplastics are composed of cellulose acetate that does not undergo biological or photo-degradation. These microplastics are readily dispersed and can be found abundantly in water, soil, and air. These fibers possess high absorption capabilities, allowing them to collect and retain pollutants such as toxic elements.

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Advanced receptor models can leverage the information derived from optical and chemical variables as input by a variety of instruments at different time resolutions to extract the source specific absorption Ångström exponent (AAE) from aerosol absorption. The multilinear engine (ME-2), a Positive Matrix Factorization (PMF) solver, serves as a proficient tool for performing such analyses, thereby overcoming the constraints imposed by the assumptions in current optical source apportionment methods such as the Aethalometer approach since the use of a-priori AAE values introduces additional uncertainty into the results of optical methods. Comprehensive PM chemical speciation datasets, and aerosol absorption coefficients (b, λ) at seven wavelengths measured by an Aethalometer (AE33), were used in multi-time source apportionment (MT-PMF).

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Water samples were collected during each of the 2012-2019 Cooperative Science and Monitoring Initiative (CSMI) cruises aboard the U.S. EPA R/V Lake Guardian as part of the Great Lakes Fish Monitoring and Surveillance Program (GLFMSP) lower food web contaminant assessment.

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Article Synopsis
  • The study analyzed the relationship between certain types of particulate matter (PM) and hospitalizations or emergency visits for asthma and COPD in New York before and after implementing stricter automobile emission controls.
  • Using statistical methods, it identified that increases in specific PM sources like spark-ignition emissions and secondary sulfates were linked to higher rates of asthma emergency visits, while diesel emissions had a negative association.
  • After the new emission regulations were put in place, there was a decrease in COPD hospital admissions related to some PM sources, but asthma visits generally increased, highlighting the need for further investigation into these trends.
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Comparing the atmospheric deposition chemistry between above and below the planetary boundary layer (PBL) may help understand the impacts from inter-regional air pollutant transport and local emissions to air pollutant deposition. In this study, we monitored ions, soluble and insoluble potentially toxic elements (PTEs), and dissolved organic nitrogen and carbon at the base (M-base: 551 m asl), middle (M-middle: 2400 m asl), and summit (M-summit: 3077 m asl) on Mount Emei. The annual volume-weighted mean (VWM) concentrations of all measured components were substantially higher at M-base than at M-summit, except for Na, Cl, and NO as Na and Cl at M-summit may be largely from ocean and NO to NO transformation may be faster at M-base.

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Local land-sea breezes play an important role in coastal air quality because they circulate air between coastal/urban and marine areas, potentially causing the accumulation of pollutants. This has been observed for the secondary photochemical pollutant ozone. However, particulate matter (PM) also warrants investigation.

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There is a body of evidence that ultrafine particles (UFP, those with diameters ≤ 100 nm) might have significant impacts on health. Accordingly, identifying sources of UFP is essential to develop abatement policies. This study focuses on urban Europe, and aims at identifying sources and quantifying their contributions to particle number size distribution (PNSD) using receptor modelling (Positive Matrix Factorization, PMF), and evaluating long-term trends of these source contributions using the non-parametric Theil-Sen's method.

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Article Synopsis
  • Ambient PM is a complex pollutant with varying chemical compositions and sources across regions, influenced by local conditions and emissions.
  • Current policies mainly target mass concentrations of PM, neglecting the fact that not all sources pose the same health risks, especially those linked to industries and coal combustion.
  • This study utilized positive matrix factorization to analyze PM sources in South Korea and found that specific sources significantly correlate with emergency department visits, indicating the need for tailored regional policies for effective public health management.
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Substantial effects of photochemical reaction losses of volatile organic compounds (VOCs) on factor profiles can be investigated by comparing the differences between daytime and nighttime dispersion-normalized VOC data resolved profiles. Hourly speciated VOC data measured in Shijiazhuang, China from May to September 2021 were used to conduct study. The mean VOC concentration in the daytime and at nighttime were 32.

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Article Synopsis
  • A study reviewed the impact of heat and cold waves on mortality in the Middle East, identifying a significant link between heat waves and increased all-cause mortality along with cardiovascular deaths.
  • Meta-analysis results indicated that elderly individuals and men are more vulnerable to heat-related mortality, with relative risks of 1.31 and 1.33, respectively.
  • The findings suggest the need for planning response strategies to heat waves and highlight the importance of future research on specific health conditions and healthcare outcomes.
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Accounting for exposure measurement errors has been recognized as a crucial problem in environmental epidemiology for over two decades. Bayesian hierarchical models offer a coherent probabilistic framework for evaluating associations between environmental exposures and health effects, which take into account exposure measurement errors introduced by uncertainty in the estimated exposure as well as spatial misalignment between the exposure and health outcome data. While two-stage Bayesian analyses are often regarded as a good alternative to fully Bayesian analyses when joint estimation is not feasible, there has been minimal research on how to properly propagate uncertainty from the first-stage exposure model to the second-stage health model, especially in the case of a large number of participant locations along with spatially correlated exposures.

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Article Synopsis
  • Restricted fetal growth (RFG) is linked to higher perinatal mortality and is associated with gestational exposure to various air pollutants like PM, NO, and PAHs.
  • This study analyzed how air pollution exposure during different trimesters affects inflammatory markers in the placenta, involving a cohort of 263 pregnant women in Rochester, NY.
  • Findings indicate that increased PM exposure in early pregnancy is linked to lower placental IL-6 levels, while higher PAH levels were associated with increased TNF-α levels at different stages, suggesting air pollution can change the placenta's inflammatory response at delivery.
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