Computing Components of Everyday Stress Responses: Exploring Conceptual Challenges and New Opportunities

Joshua M. Smyth, Matthew J. Zawadzki, David Marcusson-Clavertz, Stacey B. Scott, Jillian A. Johnson, Jinhyuk Kim, Meynard J. Toledo, Robert S. Stawski, Martin J. Sliwinski, David M. Almeida

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Repeated assessments in everyday life enables collecting ecologically valid data on dynamic, within-persons processes. These methods have widespread utility and application and have been extensively used for the study of stressors and stress responses. Enhanced conceptual sophistication of characterizing intraindividual stress responses in everyday life would help advance the field. This article provides a pragmatic overview of approaches, opportunities, and challenges when intensive ambulatory methods are applied to study everyday stress responses in “real time.” We distinguish between three stress-response components (i.e., reactivity, recovery, and pileup) and focus on several fundamental questions: (a) What is the appropriate stress-free resting state (or “baseline”) for an individual in everyday life? (b) How does one index the magnitude of the initial response to a stressor (reactivity)? (c) Following a stressor, how can recovery be identified (e.g., when the stress response has completed)? and (d) Because stressors may not occur in isolation, how can one capture the temporal clustering of stressors and/or stress responses (pileup)? We also present initial ideas on applying this approach to intervention research. Although we focus on stress responses, these issues may inform many other dynamic intraindividual constructs and behaviors (e.g., physical activity, physiological processes, other subjective states) captured in ambulatory assessment.

Original languageEnglish (US)
Pages (from-to)110-124
Number of pages15
JournalPerspectives on Psychological Science
Volume18
Issue number1
DOIs
StatePublished - Jan 2023

All Science Journal Classification (ASJC) codes

  • General Psychology

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