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The concentration of malondialdehyde in exhaled breath is influenced by air pollution exposure during physical activity in adolescents
Kaytna ThakerDepartment of Environmental HealthRollins School of Public Health, Emory University
BACKGROUND•Air pollution is a mix of solid particles and
gases•Components include:
▫Particulate matter (PM) Elemental or black carbon
▫Ozone
BACKGROUND (cont.)•Epidemiological studies have
demonstrated associations between air pollutants and adverse health effects▫Ozone, black carbon, PM and increased
airway inflammation in addition to asthma exacerbation
BACKGROUND (cont.)•Oxidative stress and airway inflammation
are processes that result from exposure to air pollutants
•Malondialdehyde (MDA) is a lipid peroxidation product that derives from the process of oxidative stress▫Can be quantified in biological matrices▫Studies have demonstrated associations
between MDA levels and air pollutant levels
BACKGROUND (cont.)
• Data from the Atlanta Commuter Exposure study conducted at Emory University indicate that there is variability in MDA levels prior to and following exposure
Study of Air Pollution and Physical Activity (SAPPA)
• Aims to address the question of whether outdoor physical activity during periods of poor air quality can increase and modify the health effects of air pollution exposure
SPECIFIC AIMS1. Analysis of exhaled breath condensate
(EBC) samples to determine the levels of MDA present in each sample
2. Comparison of MDA levels and air pollutant data
HYPOTHESIS•MDA levels in EBC are associated with
levels of measured air pollutants•Engaging in physical activity modifies the
relationship between MDA levels and air pollutant levels
RESEARCH METHODS•Collection of samples and measurements
from participants will take place both before and after sports team practices from high school athletes in the metro-Atlanta area
•Air pollution measurements recorded for the duration of team practices
RESEARCH METHODS•EBC samples will be collected prior to
and following exposure •MDA in EBC samples will be measured to
determine if a statistically significant change is observed between the pre and post-practice measurements
RESEARCH METHODS: ANALYSIS•Comparison of MDA levels and air
pollutant data will determine if an association exists between increased levels of MDA and increased levels of air pollutants
•Further analysis to determine if engaging in physical activity modifies the association between MDA levels and air pollutant concentrations
EXPOSURE DATA: PM
9/17/2013 9/18/2013 9/19/2013100
1000
10000
Particle Count, Suburban School
Part
icle
Count
( #
/cm
3)
EXPOSURE DATA: PM
10/8/2013 10/9/2013 10/10/20131000
10000
100000
Particle Count, Urban School
Part
icle
Count
(#/c
m3)
EXPOSURE DATA: BLACK CARBON
9/16/2013 9/17/2013 9/18/2013100
1000
Average Daily Black Carbon Levels, Suburban School
Bla
ck C
arb
on (
μg/m
3)
EXPOSURE DATA: BLACK CARBON
10/8/2013- MA 1 10/8/2013 - MA 2 10/9/2013 10/10/201310
100
1000
10000
Average Daily Black Carbon Levels, Urban School
Bla
ck C
arb
on (
μg/m
3)
NEXT STEPS•Analysis of EBC samples to determine
MDA levels▫Determine if a statistically significant
change is observed between the pre and post-practice measurements
•Comparison of MDA levels to air quality measurements▫Determine the presence of an association
THANK YOU!