Manuscript in Frontiers in Neuroendocrinology, "More than a feeling: A unified view of stress measurement for population science"
This paper is in press and lays out the Stress Measurement Network leadership team's perspective on stress measurement, and presents a comprehensive model of relationships between stress, aging, and health that emphasizes the importance of the context in which stressor is experienced. The paper can be found here: Epel_More than a feeling_2018.pdf
Figure 1: Transdisciplinary model of stress: Integrating contextual, historical, habitual, and acute stress processes.
Legend: Figure 1 presents a transdisciplinary model that describes “stress” as a set of interactive and emergent processes. The figure illustrates that stressors are experienced within the context of a person’s life, represented by the contextual factors in the blue triangle. These contextual factors include individual-level characteristics such as personality and demographic factors, current and past stressor exposures, the environment in which one lives, and protective factors; all of which combine to determine the baseline allostatic state, and the lens through which stressors are perceived and assigned meaning. Contextual factors and habitual processes together influence psychological and physiological responses to acute and daily stressors. These responses, if dysregulated, are thought to lead to allostatic load and ultimately biological aging and early disease.
Citation: Epel ES, Crosswell AD, Mayer SE, Prather AA, Slavich GM, Puterman E, Mendes WB. (In press). More than a feeling: An integrative review of stress measurement for population science. Frontiers in Neuroendocrinology.
Our Network has developed a taxonomy of terms (the ‘Stress Typology’) as a first step toward providing a common language, including descriptive dimensions of exposure and responses to stress. The purpose of this tool is to highlight the important conceptual dimensions of stress relevant to the study of health and well-being. Researchers describing any type of psychological stress should use this as a reference guide for how to describe the stressor exposure and response, as well as a tool during study development to make sure key aspects of the stressor of interest are being captured. Using consistent language when describing the aspects of stress and its measurement – and using a theoretical lens to do so – is important in order to build cumulative science of stress and to harmonize around critical theoretical dimensions. The Typology can be downloaded here Stress Typology for Stress Measurement_3 20 18.pdf. Version date: March 22, 2018.
Stress Measurement Toolbox
The compiled version of website entries can be downloaded as a PDF Stress Measurement Toolbox_5 14 18.pdf Note that this only includes self-report and not physiological measures at this point. Version date: March 22, 2018.
HRS Family of Studies Stress Harmonization Project - User Manual
This is a draft of a guidebook that details measures included in Health and Retirement Study (HRS) and the international HRS family of studies that capture various forms of stressor exposures and stress responses. The guidebook will soon be housed on the Gateway to Global Aging Data website (https://g2aging.org/) along with download-able harmonized variables to allow for cross-cultural analyses. The “G2” website provides a “Concordance” webpage (https://g2aging.org/index.php?section=concordance) on which users can specify specific domains of stress they are interested in and the portal will return the specific studies and variable names for measures which capture the specified domains of stress in the HRS family of studies. The G2 stress module is not yet fully functional but interested users can obtain preliminary information on the various measures of stress in each of the studies in the HRS family of studies by visiting the website. In the future, the G2 website will directly link users to downloadable data files of stress-related measures in the HRS family of studies. The HRS and HRS Family of Studies Stress Measurement Guidebook will also detail important methodological characteristics to consider for those interested in utilizing data from multiple studies to conduct cross-national investigations of stress. The table below outlines the domains of stress assessed in each study in the HRS Family of Studies.
The manual can be downloaded here, Stress Measurement in the HRS Family of Studies Guide.11-17-17_website post.pdf.
The NIA funded Biomarker Network is a group of scientists dedicated to improving the measurement of biological risk for late life health outcomes in large representative samples of populations. See their website and resources at http://gero.usc.edu/CBPH/network/
Relevant article: Djuric Z, Bird CE, Furumoto-Dawson A, Rauscher GH, Ruffin MT, Stowe RP, Tucker KL, Masi CM. (2008). Biomarkers of psychological stress in health disparaties reseraach. Open Biork J,1(1), 7-19. Biomarkers of stress in health disparaties research_2010.pdf
Data Harmonization Project
The Gateway to Global Aging https://g2aging.org/ is a platform for population survey data on aging around the world. This site offers a digital library of survey questions, a search for finding comparable questions across surveys, and identically defined variables for cross-country analysis. To understand more about how to use this website, review this Gateway to Global Aging Data(short)_Jinkook's slides describing harmonization.pdf from Dr. Jinkook Lee. The Stress Measurement Network is partnering with Drs. Jinkook Lee & Tara Gruenewald to harmonize stress variables in the HRS family of studies.
Science of Behavior Change (SOBC) Grand Rounds Speaker Series
The Stress Measurement Network leadership presented to SOBC researchers during a grand rounds presentation in September 2016 on stress measurement and our response to Jerome Kagan’s recent (2016) article in Perspectives on Psychological Science. The conversation and corresponding slides were recorded. The presentation can be found hereNetwork summary slides Oct 2016.pptxSOBC slides from Stress Measurement Network_Sept 2016_to post.pptx