Asking Why Is Necessary to Address Health Disparities: A Critical Approach for Solution-Oriented Environmental
Tamarra James-Todd1,2, Kathryn S Tomsho1, Symielle A Gaston3
1Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Environmental Health Perspectives
|November 14, 2024
Summary
Environmental epidemiology often asks "what," "who," "where," "when," and "how" about exposures and health. Adding the question "Why?" is crucial for addressing environmental health disparities and achieving equity.
Area of Science:
- Environmental epidemiology
- Environmental health disparities
- Health equity
Background:
- Environmental epidemiology utilizes various tools to investigate environmental exposures and health outcomes.
- Current research often focuses on descriptive questions (what, who, where, when, how) of exposure-health associations.
- These traditional questions are insufficient for addressing and intervening in environmental health disparities.
Purpose of the Study:
- To emphasize the critical importance of incorporating the question "Why?" into environmental epidemiology.
- To identify and address the structural determinants driving environmental exposure disparities.
- To move beyond documenting disparities to actively resolving them and achieving health equity.
Main Methods:
- This commentary advocates for a shift in research questions within environmental epidemiology.
- It suggests incorporating "Why?" to explore root causes of disparities.
- Emphasizes community-engaged research and trust-building for effective collaboration.
Main Results:
- Asking "Why?" enables the identification of structural determinants of environmental health disparities.
- This approach facilitates the design of studies addressing fundamental causes of health inequities.
- It enhances data collection and collaborative efforts with diverse populations.
Conclusions:
- Routinely incorporating "Why?" questions is essential for advancing environmental epidemiology.
- This approach leads to more solution-oriented study designs and improved data.
- It fosters trust and collaboration, moving the field towards actively addressing environmental health disparities and promoting health equity.
Related Concept Videos
Strategies for Assessing and Addressing Confounding
83
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...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
83
Confounding in Epidemiological Studies
144
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...
144
Dimensions of Health and Illness
7.1K
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
7.1K
Introduction to Epidemiology
654
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
654
Bias in Epidemiological Studies
158
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:
158
Community Based Intervention
34
Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
34


