Evidence map›Paper›PMID 35904963›Full record

ArticlePerspectives on psychological science : a journal of the Association for Psychological Science2023

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

Abstract read
In one paragraph

Article in Perspectives on psychological science : a journal of the Association for Psychological Science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Trial
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  6. Article
  7. Associations between pain reactivity to worse sleep and health outcomes.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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  16. Age, Neuroticism, and Stressor-Related Negative Affect: Cross-Sectional and Longitudinal Evidence from a Measurement Burst Study.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Changes in daily stress reactivity and changes in physical health across 18 years of adulthood.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Joshua M SmythDepartment of Biobehavioral Health, The Pennsylvania State University.ORCID 0000-0002-0904-5390
Matthew J ZawadzkiDepartment of Psychological Sciences, University of California, Merced.ORCID 0000-0001-6968-084X
David Marcusson-ClavertzDepartment of Psychology, Linnaeus University.ORCID 0000-0002-0730-9954
Stacey B ScottDepartment of Psychology, Stony Brook University.ORCID 0000-0002-7060-4964
Jillian A JohnsonDepartment of Biobehavioral Health, The Pennsylvania State University.ORCID 0000-0003-1379-2150
Jinhyuk KimDepartment of Informatics, Shizuoka University.ORCID 0000-0003-4218-1631
Meynard J ToledoDepartment of Biobehavioral Health, The Pennsylvania State University.ORCID 0000-0003-0215-003X
Robert S StawskiDepartment of Human Development and Family Sciences, Oregon State University.ORCID 0000-0002-0809-6372
Martin J SliwinskiHuman Development and Family Studies, The Pennsylvania State University.
David M AlmeidaHuman Development and Family Studies, The Pennsylvania State University.

Funding

Everyday Stress Response Targets in the Science of Behavior ChangeUH3AG052167 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI SMYTH, JOSHUA M · 2018 to 2019
$2.5M
Everyday Stress Response Targets in the Science of Behavior ChangeUH2AG052167 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI ALMEIDA, DAVID M., SMYTH, JOSHUA M · 2015 to 2017
$2.5M
NIA NIH HHS UH2 AG052167NIA NIH HHS UH3 AG052167
6 · The paper itself

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.

Indexed as

ExerciseStress, PsychologicalHumansambulatory assessmentecological momentary assessmentexperience-sampling methodologystressstressors

Identifiers

PMID35904963
PMCPMC9851922

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.