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A systems model for adaptation to somatic distress among cancer survivors

  • Mark R. Somerfield(corresponding author)
    ,
  • Michael E. Stefanek
    ,
  • Thomas J. Smith
    ,
  • Jennifer J. Padberg
*Corresponding author for this work
  • American Society of Clinical Oncology
    ,
  • National Institutes of Health
    ,
  • Virginia Commonwealth University
Scholary Output:
Contribution to journal
Review article
Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Applied coping research has generally failed to fulfill its goal of providing an empirical basis for clinical interventions, and research on coping with cancer is no exception. This can be attributed in large measure to the wide gap between coping theory and coping research. Theories of stress and adaptation are complex systems formulations that present conceptual and methodological challenges and thus make testing comprehensive models difficult. The present paper reviews arguments for a microanalytic strategy through which researchers can increase coverage of relevant variables from broad systems models of stress and coping by concentrating their resources on selected, high-frequency, high-stress problems. The utility of this approach for formulating problem-specific systems models is illustrated using the example of coping with somatic distress among cancer survivors.

Publication Information

Output type

Scholary Output:
Contribution to journal
Review article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 334-343 (10 pages)

Journal (Volume, Issue Number)

Psycho-Oncology (Volume 8, Issue 4)

Publication milestones

  • Published - 07/1999

Publication status

Published - 07/1999

ISSN

1057-9249

Publication IDs

  • Scopus: 0032868242
  • PubMed: 10474851

Publication metrics

Metrics

Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1
SciVal
FWCI
0.31
SciVal
Author count
4
SciVal
citations
22
SciVal
Paper percentile
71
Scopus
citations

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Captures
11
Citation count
23