Stress and the Utilization of Health Services: A Time Series and Cross-Sectional Analysis
Abstract
Steven L. Gortmaker, John Eckenrode, Susan Gore, Stress and the Utilization of Health Services: A Time Series and Cross-Sectional Analysis, Journal of Health and Social Behavior, Vol. 23, No. 1 (Mar., 1982), pp. 25-38
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After major life stressors, people have been shown to visit doctors at a rate above that explained by stress-related morbidity alone; among those who visit the doctor in such situations, psychological distress is a more powerful predictor of medical help seeking than actual sickness.
“For example, after major life stressors, people have been shown to visit doctors at a rate above that explained by stress-related morbidity alone; furthermore, among those who visit the doctor in such situations, psychological distress is a more powerful predictor of medical help seeking than actual sickness [40].”
From Treatment of somatization in primary care (1997) · cites this paper as [40]
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- Authors
- Gortmaker, S. L., Eckenrode, J., & Gore, S.
- Venue
- Journal of Health and Social Behavior
- Publisher
- SAGE Publications
- Published
- 1982-03
- Volume
- 23
- Issue
- 1
- Pages
- 25
- ISSN
- 0022-1465 (ISSN-L)
- OpenAlex
- W2334913233
- Cited by
- 103
- References
- 18
- Citations by year
- 2020: 1 · 2016: 1 · 2015: 1
- FWCI
- 12.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Health and Social Behavior (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- stress, health care utilization, psychological stress, time series analysis, cross-sectional analysis
- MeSH terms
- Adult, Boston, Community Health Centers, Female, Humans, Life Change Events, Stress, Psychological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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