scholarly journals Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure

2018 ◽  
Vol 15 (9) ◽  
pp. 2036 ◽  
Author(s):  
Laura Corlin ◽  
Shannon Ball ◽  
Mark Woodin ◽  
Allison Patton ◽  
Kevin Lane ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Particle Number ◽  
Linear Models ◽  
Number Concentration ◽  
Particle Number Concentration ◽  
Cross Sectional ◽  
Time Activity ◽  
Sufficient Set ◽  
Ultrafine Particulate Matter ◽  
Relationship Of

Emerging evidence suggests long-term exposure to ultrafine particulate matter (UFP, aerodynamic diameter < 0.1 µm) is associated with adverse cardiovascular outcomes. We investigated whether annual average UFP exposure was associated with measured systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and hypertension prevalence among 409 adults participating in the cross-sectional Community Assessment of Freeway Exposure and Health (CAFEH) study. We used measurements of particle number concentration (PNC, a proxy for UFP) obtained from mobile monitoring campaigns in three near-highway and three urban background areas in and near Boston, Massachusetts to develop PNC regression models (20-m spatial and hourly temporal resolution). Individual modeled estimates were adjusted for time spent in different micro-environments (time-activity-adjusted PNC, TAA-PNC). Mean TAA-PNC was 22,000 particles/cm3 (sd = 6500). In linear models (logistic for hypertension) adjusted for the minimally sufficient set of covariates indicated by a directed acyclic graph (DAG), we found positive, non-significant associations between natural log-transformed TAA-PNC and SBP (β = 5.23, 95%CI: −0.68, 11.14 mmHg), PP (β = 4.27, 95%CI: −0.79, 9.32 mmHg), and hypertension (OR = 1.81, 95%CI: 0.94, 3.48), but not DBP (β = 0.96, 95%CI: −2.08, 4.00 mmHg). Associations were stronger among non-Hispanic white participants and among diabetics in analyses stratified by race/ethnicity and, separately, by health status.

Association of Particle Number Concentration Adjusted for Time-Activity with Blood Pressure and Ankle Brachial Index

2014 ◽  
Vol 2014 (1) ◽  
pp. 2397
Author(s):  
Laura Corlin* ◽  
Mark Woodin ◽  
Kevin J Lane ◽  
Allison P Patton ◽  
Mohan Thanikachalam ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Particle Number ◽  
Ankle Brachial Index ◽  
Number Concentration ◽  
Particle Number Concentration ◽  
Time Activity

scholarly journals Effect of Electrocautery Settings on Particulate Concentrations in Surgical Plume during Tonsillectomy

2020 ◽  
Vol 162 (6) ◽  
pp. 867-872 ◽  
Author(s):  
Michele M. Carr ◽  
Vijay A. Patel ◽  
Jhy-Charm Soo ◽  
Sherri Friend ◽  
Eun Gyung Lee
Keyword(s):  
Particle Number ◽  
Medical Center ◽  
Health Hazard ◽  
Number Concentration ◽  
Particle Number Concentration ◽  
Breathing Zone ◽  
Operating Room Personnel ◽  
Cross Sectional ◽  
Significant Difference ◽  
Smoke Evacuation

Objectives To describe the effect of monopolar electrocautery (EC) settings on surgical plume particulate concentration during pediatric tonsillectomy. Study Design Cross-sectional study. Setting Tertiary medical center. Subjects and Methods During total tonsillectomy exclusively performed with EC, air was sampled with a surgeon-worn portable particle counter. The airborne mean and maximum particle concentrations were compared for tonsillectomy performed with EC at 12 W vs 20 W, with smoke evacuation system (SES) and no smoke evacuation (NS). Results A total of 36 children were included in this analysis: 9 cases with EC at 12 W and SES (12SES), 9 cases with EC at 20 W and SES (20SES), 9 cases with EC at 12 W without SES (12NS), and 9 cases with EC at 20 W without SES (20NS). Mean particle number concentration in the breathing zone during tonsillectomy was 1661 particles/cm3 for 12SES, 5515 particles/cm3 for 20SES, 8208 particles/cm3 for 12NS, and 78,506 particles/cm3 for 20NS. There was a statistically significant difference in the particle number concentrations among the 4 groups. The correlation between the particle number concentration and EC time was either moderate (for 12SES) or negative (for remaining groups). Conclusion Airborne particle concentrations during tonsillectomy are over 9.5 times higher when EC is set at 20 W vs 12 W with NS, which is mitigated to 3.3 times with SES. Applying lower EC settings with SES during pediatric tonsillectomy significantly reduces surgical plume exposure for patients, surgeons, and operating room personnel, which is a well-known occupational health hazard.

Impact of Urban Pollution on Organic-Mediated New-Particle Formation and Particle Number Concentration in the Amazon Rainforest

2021 ◽  
Vol 55 (8) ◽  
pp. 4357-4367
Author(s):  
Bin Zhao ◽  
Jerome D. Fast ◽  
Neil M. Donahue ◽  
Manish Shrivastava ◽  
Meredith Schervish ◽  
...  
Keyword(s):  
Particle Number ◽  
Urban Pollution ◽  
Particle Formation ◽  
Number Concentration ◽  
Amazon Rainforest ◽  
Particle Number Concentration ◽  
New Particle Formation

Abstract 51: Ambulatory Blood Pressure Phenotype And Cardiovascular Risk In Youth: The Ship-ahoy Study

Hypertension ◽  
2021 ◽  
Vol 78 (Suppl_1) ◽  
Author(s):  
Joseph T Flynn ◽  
Philip Khoury ◽  
Joshua A Samuels ◽  
Marc B Lande ◽  
Kevin Meyers ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cardiac Function ◽  
Linear Models ◽  
Independent Predictor ◽  
Systolic Function ◽  
Left Ventricular ◽  
Cvd Risk ◽  
Oscillometric Device ◽  
Echocardiographic Parameters ◽  
Relationship Of

We investigated whether blood pressure (BP) phenotype based on clinic & 24-hour ambulatory BP (ABP) was associated with intermediate markers of cardiovascular disease (CVD) in 374 adolescents enrolled in a study of the relationship of BP to CV risk. Clinic BP was measured by auscultation and categorized using the 2017 AAP guideline. ABP was measured for 24 hours by an oscillometric device and analyzed using the adult ABP wake SBP cut-point (130 mmHg). This created 4 BP phenotype groups: normal BP (n=224), white coat hypertensive (n=48), ambulatory hypertensive (n=57) & masked hypertensive (n=45). Echocardiographic parameters & carotid-femoral pulse wave velocity (PWVcf) were measured to assess CVD risk. Left ventricular mass (LVM) was lowest in the normal BP group, whereas multiple measures of cardiac function and PWVcf were worse in the masked and ambulatory hypertensive groups: Generalized linear models adjusted for body mass index (BMI) were constructed to examine the associations between BP phenotype and the measured CVD variables. ABP phenotype was an independent predictor of LVM, diastolic and systolic function and PWVcf in the unadjusted model. ABP phenotype remained significantly associated with diastolic function (E/e’, e’/a’), systolic function (ejection fraction) and increased arterial stiffness (PWVcf) after adjustment for BMI percentile (all p<=0.05). We conclude that BP phenotype is an independent predictor of markers of increased CVD risk in adolescents, including impaired cardiac function and increased vascular stiffness. ABP monitoring has an important role in CVD risk assessment in youth.

scholarly journals Modeling particle nucleation and growth over northern California during the 2010 CARES campaign

2015 ◽  
Vol 15 (21) ◽  
pp. 12283-12313 ◽  
Author(s):  
A. Lupascu ◽  
R. Easter ◽  
R. Zaveri ◽  
M. Shrivastava ◽  
M. Pekour ◽  
...  
Keyword(s):  
Size Distribution ◽  
Particle Number ◽  
Particle Formation ◽  
Number Concentration ◽  
Aerosol Size Distribution ◽  
Particle Nucleation ◽  
Particle Number Concentration ◽  
New Particle Formation ◽  
Organic Vapors ◽  
Diurnal Variability

Abstract. Accurate representation of the aerosol lifecycle requires adequate modeling of the particle number concentration and size distribution in addition to their mass, which is often the focus of aerosol modeling studies. This paper compares particle number concentrations and size distributions as predicted by three empirical nucleation parameterizations in the Weather Research and Forecast coupled with chemistry (WRF-Chem) regional model using 20 discrete size bins ranging from 1 nm to 10 μm. Two of the parameterizations are based on H2SO4, while one is based on both H2SO4 and organic vapors. Budget diagnostic terms for transport, dry deposition, emissions, condensational growth, nucleation, and coagulation of aerosol particles have been added to the model and are used to analyze the differences in how the new particle formation parameterizations influence the evolving aerosol size distribution. The simulations are evaluated using measurements collected at surface sites and from a research aircraft during the Carbonaceous Aerosol and Radiative Effects Study (CARES) conducted in the vicinity of Sacramento, California. While all three parameterizations captured the temporal variation of the size distribution during observed nucleation events as well as the spatial variability in aerosol number, all overestimated by up to a factor of 2.5 the total particle number concentration for particle diameters greater than 10 nm. Using the budget diagnostic terms, we demonstrate that the combined H2SO4 and low-volatility organic vapor parameterization leads to a different diurnal variability of new particle formation and growth to larger sizes compared to the parameterizations based on only H2SO4. At the CARES urban ground site, peak nucleation rates are predicted to occur around 12:00 Pacific (local) standard time (PST) for the H2SO4 parameterizations, whereas the highest rates were predicted at 08:00 and 16:00 PST when low-volatility organic gases are included in the parameterization. This can be explained by higher anthropogenic emissions of organic vapors at these times as well as lower boundary-layer heights that reduce vertical mixing. The higher nucleation rates in the H2SO4-organic parameterization at these times were largely offset by losses due to coagulation. Despite the different budget terms for ultrafine particles, the 10–40 nm diameter particle number concentrations from all three parameterizations increased from 10:00 to 14:00 PST and then decreased later in the afternoon, consistent with changes in the observed size and number distribution. We found that newly formed particles could explain up to 20–30 % of predicted cloud condensation nuclei at 0.5 % supersaturation, depending on location and the specific nucleation parameterization. A sensitivity simulation using 12 discrete size bins ranging from 1 nm to 10 μm diameter gave a reasonable estimate of particle number and size distribution compared to the 20 size bin simulation, while reducing the associated computational cost by ~ 36 %.

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