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The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

The Daily Inventory of Stressful Events: An Interview-Based Approach for Measuring Daily Stressors

Abstract

This study introduces the Daily Inventory of Stressful Events (DISE), an interview-based approach to the measurement of multiple aspects of daily stressors through daily telephone interviews. Using a U.S. national sample of adults aged 25 to 74 (N = 1,031), the prevalence as well as the affective and physical correlates of daily stressors are examined. Respondents had at least one daily stressor on 40 percent of the study days and multiple stressors on 11 percent of the study days. The most common class of stressors was interpersonal tension followed by work-related stressors for men and network stressors (events that occur to close others) for women. Stressors that involved danger of loss were more prevalent than stressors in which loss actually occurred. Regression analyses showed that specific types of daily stressors such as interpersonal tensions and network stressors were unique predictors of both health symptoms and mood.

Overview

Integrity signals

Registry

Crossref · 10.1177/1073191102091006

Cites

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Citations

Cites

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Research works printed but not linked: 11

  1. Almeida, D. M., 1998, Daily Inventory of Stressful Events (DISE) expert coding manual
  2. 10.1037/0022-3514.57.5.808 · doi:10.1037/0022-3514.57.5.808 · Paper page
  3. Brown, G. W., 1978, Social origins of depression: A study of depressive disorder in women
  4. Finlay-Jones, R., 1989, Life events and illness, 95
  5. 10.1037/0022-3514.50.5.992 · DOI · Paper page
  6. 10.1037/0882-7974.13.4.553 · DOI · Paper page
  7. Lazarus, R. S., 1999, Stress and emotion
  8. 10.1037/0022-3514.75.5.1333 · DOI · Paper page
  9. Rehm, L. P., 1978, Journal of Consulting and Clinical Psychology, 46, 337, 10.1037/0022-006X.46.2.337 · doi:10.1037/0022-006x.46.2.337
  10. 10.1037/0022-3514.52.1.56 · DOI
  11. 10.1037/0022-3514.46.4.892 · doi:10.1037/0022-3514.46.4.892 · Paper page

Cited by

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Metadata

Authors
Almeida, D. M., Wethington, E., & Kessler, R. C.
Affiliations
  • University of Arizona (US)
  • Cornell University (US)
  • Harvard University (US)
Venue
Assessment
Published
2002-03
Volume
9
Issue
1
Pages
41-55
ISSN
  • 1073-1911 (ISSN-L)
  • 1552-3489
OpenAlex
W2084124728
Cited by
596
References
0
Citations by year
2026: 17 · 2025: 38 · 2024: 41 · 2023: 38 · 2022: 45 · 2021: 55 · 2020: 43 · 2019: 35 · 2018: 24 · 2017: 33 · 2016: 36 · 2015: 30 · 2014: 23 · 2013: 22 · 2012: 24
FWCI
8.11
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
  • Assessment (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institute on Aging (AG19293)
  • National Institute of Mental Health (MH19734)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Psychology › Clinical Psychology › Health and Well-being Studies
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Keywords
daily hassles, stress measurement, interpersonal tension, occupational stress, health symptoms, mood
MeSH terms
Adult, Aged, Depression, Female, Health Status, Humans, Interview, Psychological, Male, Middle Aged, Regression Analysis, Risk Factors, Sex Factors, Stress, Psychological, United States, Reproducibility of Results, Prevalence

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This page
CoChat. (2026). Citation check: The Daily Inventory of Stressful Events: An Interview-Based Approach for Measuring Daily Stressors. https://app.cochat.ai/papers/10.1177/1073191102091006
The paper
Almeida, D. M., Wethington, E., & Kessler, R. C. (2002). The Daily Inventory of Stressful Events: An Interview-Based Approach for Measuring Daily Stressors. Assessment. https://doi.org/10.1177/1073191102091006

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.