Denise Moreno Ramírez, Ashby Lavelle Sachs, Christine C Ekenga
{"title":"Qualitative and mixed methods: informing and enhancing exposure science.","authors":"Denise Moreno Ramírez, Ashby Lavelle Sachs, Christine C Ekenga","doi":"10.1038/s41370-024-00707-5","DOIUrl":null,"url":null,"abstract":"<p><p>Addressing complex environmental health challenges necessitates the integration of multiple research methodologies to fully understand the social, economic, and health impacts of exposure to environmental hazards. Qualitative and mixed methods (QMM) are vital in uncovering the sociocultural dynamics that influence people's interactions with their environment and subsequent health-related outcomes. QMM has the potential to reveal insights that quantitative methods might overlook. However, QMM approaches have been underutilized in exposure science, with less than 1% of the studies published in the Journal of Exposure Science and Environmental Epidemiology (JESEE) from 2003 to 2023 employing these methods. JESEE studies that utilized QMM have enhanced exposure assessment, explored risk perceptions, and evaluated the impact of interventions, particularly among historically marginalized populations. QMM approaches have addressed gaps in traditional exposure assessment by allowing researchers to capture nuanced perspectives often missed by quantitative analyses, especially in understanding the lived experiences of affected communities. Exposure scientists are encouraged to adopt QMM to advance more comprehensive and inclusive approaches to studying and mitigating environmental risks. Fostering interdisciplinary collaborations that integrate the social sciences can enhance the development of robust, context-sensitive solutions to environmental health challenges.</p>","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Exposure Science and Environmental Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41370-024-00707-5","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Addressing complex environmental health challenges necessitates the integration of multiple research methodologies to fully understand the social, economic, and health impacts of exposure to environmental hazards. Qualitative and mixed methods (QMM) are vital in uncovering the sociocultural dynamics that influence people's interactions with their environment and subsequent health-related outcomes. QMM has the potential to reveal insights that quantitative methods might overlook. However, QMM approaches have been underutilized in exposure science, with less than 1% of the studies published in the Journal of Exposure Science and Environmental Epidemiology (JESEE) from 2003 to 2023 employing these methods. JESEE studies that utilized QMM have enhanced exposure assessment, explored risk perceptions, and evaluated the impact of interventions, particularly among historically marginalized populations. QMM approaches have addressed gaps in traditional exposure assessment by allowing researchers to capture nuanced perspectives often missed by quantitative analyses, especially in understanding the lived experiences of affected communities. Exposure scientists are encouraged to adopt QMM to advance more comprehensive and inclusive approaches to studying and mitigating environmental risks. Fostering interdisciplinary collaborations that integrate the social sciences can enhance the development of robust, context-sensitive solutions to environmental health challenges.
期刊介绍:
Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines.
JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.