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Updated: Jun 15, 2025

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
Published on: January 7, 2019
Qualitative and mixed methods: informing and enhancing exposure science.
Denise Moreno Ramírez1, Ashby Lavelle Sachs2,3,4, Christine C Ekenga5
1Department of Community, Environment and Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Qualitative and mixed methods (QMM) offer crucial insights into environmental health disparities often missed by quantitative studies. Integrating QMM can lead to more inclusive exposure science and effective environmental health solutions.
Area of Science:
- Environmental Health Sciences
- Exposure Science
- Social and Behavioral Sciences
Background:
- Complex environmental health issues require understanding social, economic, and health impacts of hazard exposure.
- Qualitative and mixed methods (QMM) are essential for uncovering sociocultural dynamics influencing environmental interactions and health outcomes.
- QMM can reveal insights often overlooked by purely quantitative approaches.
Purpose of the Study:
- To highlight the underutilization of QMM in exposure science.
- To demonstrate the value of QMM in enhancing exposure assessment, risk perception studies, and intervention evaluations.
- To encourage the adoption of QMM for more comprehensive and inclusive environmental health research.
Main Methods:
- Systematic review of studies published in the Journal of Exposure Science and Environmental Epidemiology (JESEE) from 2003-2023.
- Analysis of the application and impact of QMM within the exposure science literature.
- Identification of specific contributions of QMM in enhancing exposure assessment and understanding community perspectives.
Main Results:
- QMM approaches have been employed in less than 1% of JESEE studies between 2003 and 2023.
- Studies utilizing QMM have successfully enhanced exposure assessment, explored risk perceptions, and evaluated interventions.
- QMM has been particularly valuable in research involving historically marginalized populations and understanding lived experiences.
Conclusions:
- QMM approaches are underutilized but highly valuable in exposure science.
- Integrating QMM can address gaps in traditional exposure assessment and provide nuanced community perspectives.
- Adoption of QMM and interdisciplinary collaboration is encouraged for developing robust, context-sensitive environmental health solutions.
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