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Lee GK, Mercurio-Riley D. Psychosocial Adjustment of People with Chronic Pain: A Conceptual Framework of Risk and Resistance Factors. AUSTRALIAN JOURNAL OF REHABILITATION COUNSELLING 2015. [DOI: 10.1375/jrc.15.1.40] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractThe purposes of this review article are to gather existing evidence on the contributing factors in affecting the psychosocial adjustment among people with chronic pain, and to promote a comprehensive conceptual framework in this topic by adapting Wallander and colleagues' (1989) Risk and Resistance Model of Adjustment. Our intention is to promote future empirical research that will validate this working conceptual framework and will provide and clinical guidelines for rehabilitation professionals who work with people with chronic pain.
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Lee GK, Chronister J, Bishop M. The Effects of Psychosocial Factors on Quality of Life Among Individuals With Chronic Pain. REHABILITATION COUNSELING BULLETIN 2008. [DOI: 10.1177/0034355207311318] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study investigated the psychosocial factors affecting the quality of life (QOL) of 171 individuals with chronic pain. Participants completed a battery of self-rated inventories measuring three sets of predictor variables—demographic (age, gender, income, marital status), pain-specific (chronicity, severity, duration, frequency, pain impairment), and psychosocial (interference, social support, depression, coping)—and one criterion variable with five models (physical, psychological, social, environmental, total). Hierarchical multiple regression indicates that income predicts the psychological and environmental domains of QOL. Across all five models, 56% to 76% of the variance was accounted for with the three sets of variables. Demographics remained minimally predictive of all models. Pain impairment was predictive of all five models. Depression was predictive of all but physical QOL, and coping was predictive of all but physical and environmental QOL. The pain impairment variable and the two psychosocial variables (depression and coping) remained imperative in predicting QOL of individuals with chronic pain.
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