Race or racial segregation? Modification of the PM2.5 and cardiovascular mortality association

Maayan Yitshak-Sade1, Kevin J Lane2, M Patricia Fabian2

  • 1Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.

Plos One
|July 28, 2020
PubMed
Abstract

Insights

Exposure to fine particulate matter (PM2.5) increases cardiovascular death risk, particularly in Black communities. Reducing PM2.5 in these areas offers the greatest health benefits and reduces disparities.

Area of Science:

  • Environmental Health
  • Epidemiology
  • Cardiovascular Disease Research

Background:

  • Racial inequities in exposure to fine particulate matter (PM2.5) are well-documented.
  • This study examines PM2.5's link to cardiovascular mortality, considering race and neighborhood demographics.

Purpose of the Study:

  • To investigate the association between PM2.5 exposure and cardiovascular mortality.
  • To assess how decedent race and neighborhood racial composition modify this association.

Main Methods:

  • Utilized geocoded cardiovascular mortality records (n=130,863) for Black and White decedents in Massachusetts (2001-2011).
  • Analyzed PM2.5 association with mortality, evaluating effect modification by decedent race, block-group racial composition, and novel segregation measures (Racial Residential Segregation, Index of Racial Dissimilarity).

Main Results:

  • A 2.35% increase in cardiovascular mortality was associated with each 10μg/m3 rise in PM2.5.
  • Risk was higher in block-groups with the highest percentage of Black residents (interaction p=0.04) and lowest Racial Residential Segregation (interaction p=0.072).

Conclusions:

  • PM2.5 exposure is linked to increased cardiovascular deaths in Massachusetts.
  • Targeted PM2.5 reduction in predominantly Black neighborhoods is crucial for reducing mortality and health disparities.

Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.1K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
278
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
464
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
94.6K
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.7K
Segregation in Fresh Concrete01:16

Segregation in Fresh Concrete

Segregation in fresh concrete is a phenomenon where the components of the concrete mix separate, leading to uneven distribution and compromised structural integrity. This separation typically occurs when concrete is subjected to excessive horizontal movement within forms, or when it is dropped from considerable heights or forced through narrow, winding paths. As a result, heavier coarse aggregate particles settle at the bottom, while lighter, finer materials such as cement and water rise to the...
435