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Cited by 745

The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.

Self-regulation, health, and behavior: A perceptual-cognitive approach

Leventhal, Howard, Leventhal, Elaine A., Contrada, Richard J.·1998·Psychology & Health

Abstract

Self-regulation systems are designed to adapt to threats via coping procedures that make efficient use of resources based upon valid representations of the environment. We discuss two components of the common-sense model of health threats: illness representations (e.g., content and organization) and coping procedures (e.g., classes of procedure and their attributes - outcome expectancies, time-lines, dose-efficacy beliefs, etc.). Characteristics of each of these domains, and the connection between the two, are critical to understanding human adaptation to problems of physical health. Rather than posing a barrier to factors outside the person that control behavior, an emphasis on subjective construal involves a view of the person as an active problem-solver embedded in a bidirectional system of sensitivity and responsiveness vis á vis the social, physical, and institutional environments in which health threats occur and through which intervention efforts may be directed.

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Cites

Show all 85 references

Research works printed but not linked: 32

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Metadata

Authors
Leventhal, H., Leventhal, E. A., & Contrada, R. J.
Venue
Psychology & Health
Published
1998-07
Volume
13
Issue
4
Pages
717-733
ISSN
  • 0887-0446 (ISSN-L)
  • 1476-8321
OpenAlex
W2018482705
Cited by
745
References
85
FWCI
14.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Self-regulation, health, and behavior: A perceptual-cognitive approach. https://app.cochat.ai/papers/10.1080/08870449808407425
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Leventhal, H., Leventhal, E. A., & Contrada, R. J. (1998). Self-regulation, health, and behavior: A perceptual-cognitive approach. Psychology & Health. https://doi.org/10.1080/08870449808407425

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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.