Title |
Psychosocial Adaptation to Chronic Illness and Disability: A Virtue Based Model
|
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Published in |
Journal of Occupational Rehabilitation, January 2016
|
DOI | 10.1007/s10926-015-9622-1 |
Pubmed ID | |
Authors |
Jeong Han Kim, Brian T. McMahon, Carolyn Hawley, Dana Brickham, Rene Gonzalez, Dong-Hun Lee |
Abstract |
Purpose Psychosocial adaptation to chronic illness and disability (CID) is an area of study where a positive psychology perspective, especially the study of virtues and character strengths, can be implemented within the rehabilitation framework. A carefully developed theory to guide future interdisciplinary research is now timely. Methods A traditional literature review between philosophy and rehabilitation psychology was conducted in order to develop a virtue-based psychosocial adaptation theory, merging important perspectives from the fields of rehabilitation and positive psychology. Results The virtue-based psychosocial adaptation model (V-PAM) to CID is proposed in the present study. Conclusions The model involves five qualities or constructs: courage, practical wisdom, commitment to action, integrity and emotional transcendence. Each of these components of virtue contributes to an understanding of psychosocial adaptation. The present study addresses the implications and applications of V-PAM that will advance this understanding. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 94 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 17% |
Student > Ph. D. Student | 13 | 14% |
Researcher | 9 | 10% |
Student > Bachelor | 9 | 10% |
Student > Doctoral Student | 6 | 6% |
Other | 12 | 13% |
Unknown | 29 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 24 | 26% |
Nursing and Health Professions | 12 | 13% |
Social Sciences | 7 | 7% |
Medicine and Dentistry | 5 | 5% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Other | 10 | 11% |
Unknown | 33 | 35% |