How Environmental Injustice Affects Health

PM2.5 and Health Consequences

We established that race and socioeconomic status have significant roles in determining a neighborhood’s access to clean air, clean water, and greenspace. What are the ramifications of such disparities? How does pollution affect a neighborhood’s overall well-being?

To illustrate how greater pollutant exposure contributes to health consequences, we specifically analyzed average (ambient) PM2.5 levels and how they correlate with yearly asthma and cardiovascular-related ER visits. PM2.5 is a particularly toxic air pollutant, as its small size allows it to enter your lung’s alveoli and bloodstream. In fact, a report by West and Cohen found that PM2.5 caused 2.9 million premature deaths in 2013, ranking as the 7th most significant mortality risk factor (West and Cohen 2016). As a result, we expect high PM2.5 levels to cause respiratory irritation and potential cardiovascular issues.

Scatter plot with asthma ER visits and average PM2.5 levels.

Figure 9: The relationship between a neighborhood’s average PM2.5 concentration and the yearly number of asthma-related ER visits. 

Higher PM2.5 levels correlate with more asthma-related emergencies.

Figure 9 is a scatter plot that has the average number of yearly asthma-related ER visits per 10,000 people in a neighborhood on the y-axis and the average PM2.5 concentration on the x-axis. Each dot represents a neighborhood, and the size of the dot is the number of PM2.5 measurements taken in that neighborhood. Although there appear to be some outlier neighborhoods with average PM2.5 concentrations around 7 µg/cubic meter, the vast majority of neighborhoods have average concentrations between 10 to 13 µg/cubic meters. In this region, there is a steep position correlation between average PM2.5 concentrations and asthma-related visits, particularly as one goes above the EPA limit. As a result, we conclude that PM2.5 concentrations and the frequency of severe asthma attacks are related.

Scatter plot depicting positive correlation between PM2.5 levels and cardiovascular-related illnesses.

Figure 10: The relationship between a neighborhood’s average PM2.5 concentration and the yearly number of cardiovascular-related ER visits. 

Higher PM2.5 levels also correlate to similar increases in cardiovascular ER visits.

Figure 10 uses many of the same design principles as Figure 9; however, instead of looking at asthma-related ER visits, we investigated cardiovascular-related visits due to PM2.5’s small size, which allows these particles to enter the bloodstream. A very similar relationship was observed in this visualization as well.

Although there are outliers at average concentrations of around 6-7 µg/cubic meters, the vast majority of data points (10-13 µg/cubic meters) demonstrate a steep positive slope once above the PM2.5 limit. As a result, PM2.5 also affects one’s cardiovascular health, which may lead to increased occurrence of heart disease and other long-term health effects. In addition, both Figures 9 and 10 illustrate that although the difference between PM 2.5 concentrations of 12 and 13 µg/cubic meters may appear small, these seemingly insignificant discrepancies in air pollution lead to more significant effects on health, due to the steep positive slope above 12 µg/cubic meters. 

It is also important to note that asthma and cardiovascular health are not the only health factors associated with PM2.5 concentrations: A paper by Mekonnen et al. discovered a positive correlation between a mother's exposure to PM2.5 and tropospheric ozone and the chances of a preterm birth (Mekonnen et al. 2021). Thus, our visualizations only include a fraction of potential health-related variables can may correlate to air pollution levels. 

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