OBJECTIVE: Despite being a common problem in systemic sclerosis (SSc; scleroderma), the extant literature on pain has primarily focused on biomedical correlates, or bivariate relationships with a few psychological characteristics. There is a need to investigate the more heuristic biopsychosocial model, which incorporates the simultaneous contributions of medical, psychological, and social variables in understanding pain. METHODS: Patients with SSc (n = 333) received clinical examinations and completed self-report surveys at enrollment in the Genetics versus Environment in Scleroderma Outcome Study. Latent profile analysis was used to derive biopsychosocial profiles of patients using skin thickening, percent predicted forced vital lung capacity, perceived physical health, health worry, mental health, and social support. The profiles were examined in relation to pain and pain medication usage. RESULTS: A 3-profile solution provided the best fit to the data. Based on the biopsychosocial indicators, the profiles were characterized as managing (n = 217), resilient (n = 86), and distressed (n = 30). Between-group differences for pain emerged, with the distressed group, whose disease was less severe than the resilient group, reporting the highest pain and the greatest utilization of pain medication. CONCLUSION: Clinicians should consider biopsychosocial characteristics as contributing factors to the experience of pain in patients with SSc. Patients who are similar to those in the distressed profile may be at an increased risk for pain and would likely benefit from a referral to a behavioral health or other ancillary service provider for pain management, rather than relying solely on pharmacologic therapies.
OBJECTIVE: Despite being a common problem in systemic sclerosis (SSc; scleroderma), the extant literature on pain has primarily focused on biomedical correlates, or bivariate relationships with a few psychological characteristics. There is a need to investigate the more heuristic biopsychosocial model, which incorporates the simultaneous contributions of medical, psychological, and social variables in understanding pain. METHODS:Patients with SSc (n = 333) received clinical examinations and completed self-report surveys at enrollment in the Genetics versus Environment in Scleroderma Outcome Study. Latent profile analysis was used to derive biopsychosocial profiles of patients using skin thickening, percent predicted forced vital lung capacity, perceived physical health, health worry, mental health, and social support. The profiles were examined in relation to pain and pain medication usage. RESULTS: A 3-profile solution provided the best fit to the data. Based on the biopsychosocial indicators, the profiles were characterized as managing (n = 217), resilient (n = 86), and distressed (n = 30). Between-group differences for pain emerged, with the distressed group, whose disease was less severe than the resilient group, reporting the highest pain and the greatest utilization of pain medication. CONCLUSION: Clinicians should consider biopsychosocial characteristics as contributing factors to the experience of pain in patients with SSc. Patients who are similar to those in the distressed profile may be at an increased risk for pain and would likely benefit from a referral to a behavioral health or other ancillary service provider for pain management, rather than relying solely on pharmacologic therapies.
Authors: C Georges; O Chassany; C Toledano; L Mouthon; K Tiev; O Meyer; D Ilie; J Rambeloarisoa; Z Marjanovic; J Cabane; D Sereni; J Pouchot; D Farge Journal: Rheumatology (Oxford) Date: 2006-06-04 Impact factor: 7.580
Authors: Daniel Furst; Dinesh Khanna; Marco Matucci-Cerinic; Philip Clements; Virginia Steen; Janet Pope; Peter Merkel; Ivan Foeldvari; James Seibold; David Pittrow; Richard Polisson; Vibeke Strand Journal: J Rheumatol Date: 2007-05 Impact factor: 4.666
Authors: Vanessa L Malcarne; Ingunn Hansdottir; Ann McKinney; Renn Upchurch; Helen L Greenbergs; Gretchen H Henstorf; Daniel E Furst; Philip J Clements; Michael H Weisman Journal: J Rheumatol Date: 2007-02 Impact factor: 4.666
Authors: Lisa M Benrud-Larson; Jennifer A Haythornthwaite; Leslie J Heinberg; Christy Boling; Jeffrey Reed; Barbara White; Fredrick M Wigley Journal: Pain Date: 2002-02 Impact factor: 6.961
Authors: Shelley E Condon; Scott C Roesch; Philip J Clements; Daniel E Furst; Michael H Weisman; Vanessa L Malcarne Journal: J Scleroderma Relat Disord Date: 2020-06-22
Authors: Erin L Merz; Vanessa L Malcarne; Scott C Roesch; Deepthi K Nair; Gloria Salazar; Shervin Assassi; Maureen D Mayes Journal: Qual Life Res Date: 2016-07-28 Impact factor: 4.147