Clinical profiles in fibromyalgia patients of the community
Clinical profiles in fibromyalgia patients of the community mental health center: a predictive index of psychopathological severity.
Clinical profiles in fibromyalgia patients of the community mental health center: a predictive index of psychopathological severity. Actas Esp Psiquiatr. 2006 Mar-Apr;34(2):112-22 Authors: Blasco L, Mallo M, Mencia A, Franch J, Casaus P, Pena J, Labad A, Gutierrez-Zotes J, Jariod M Introduction. In recent years we have seen an increasing demand for mental health care in patients with fibromyalgia and psychiatric symptoms, although it is not clear if the symptoms are primary or secondary to the presence of the syndrome. This fact has led mental health providers to think that there would be some psychological factors influencing the vulnerability of suffering this painful syndrome, because its etiology is quite non-specific. Bradley et al. (1978) identified different psychopathological profiles within chronic pain syndromes with the MMPI, which were subsequently adapted by Yunus et al. (1991) for fibromyalgia. This present work studied the clinical profile in patients with fibromyalgia. Method. Sample: 75 patients with fibromyalgia from the community mental health center and 55 healthy subjects. Tools: STAI-E/R, BDI, MMPI-2, MMPI-2 personality disorders, MMPI-2 PSY-5. Statistical analysis: descriptive statistics and mean comparison (Student's t test). Confirmatory cluster analysis. Discriminative analysis of subgroups. Results. Two different patterns were obtained: group A (32 %) with a typical chronic pain profile (CP) and group B (68 %) with a psychological maladjustment profile (PM). With the discriminative analysis, we obtained the coefficients of the discriminative canonical functions that maximize the differences between both groups. Conclusions. We confirmed Bradley's classification, obtaining two different psychopathological patterns in the fibromyalgia syndrome sample we studied. We obtained an index of psychopathological profile in fibromyalgia, which would form a new scale, from MMPI-2 for discriminating psychopathological severity in fibromyalgia. Actas Esp Psiquiatr 2006;34(2):112-122. PMID: 16552639 [PubMed - in process]
Pain and musculoskeletal pain syndromes related to computer and video game use in adolescents.
Pain and musculoskeletal pain syndromes related to computer and video game use in adolescents. Eur J Pediatr. 2006 Mar 22; Authors: Zapata AL, Pantoja Moraes AJ, Leone C, Doria-Filho U, Almeida Silva CA The objective of the present study was to evaluate the presence of pain and musculoskeletal pain syndromes in adolescents and associate them to computer and video game use. A cross-sectional study was performed on the entire adolescent population (n=833) of a private situated in the city of S o Paulo. The research included a questionnaire and physical examination of the musculoskeletal system. Statistical analysis was carried out with Fisher, chi-square, Mann Whitney tests and logistic regression. A total of 791 adolescent was evaluated. A computer was used by 99% and video games by 58%. Pain was reported by 312 (39.4%) students: 23% complained of back pain, 9% of upper limb pain, 4% of diffuse pain and 4% of pain in the trapezium muscle. A clinical examination was carried out in 359 students, and one or more musculoskeletal pain syndromes were present in 56 students (15.6%): benign joint hypermobility syndrome in 10%, myofascial syndrome in 5%, tendonitis in 2% and fibromyalgia in 1%. In the multivariate analysis, the logistical regression showed that the independent variables in the prediction of pain were sex [odds ratio (OR): 2.19, 95% confidence interval (95% CI): 1.33-3.61] and age (OR: 1.17, 95% CI: 1.07-1.28) and that the prediction of musculoskeletal pain syndromes were sex (OR: 3.17, 95% CI: 1.69-6.22) and number of days a week using the computer (OR: 1.22, 95% CI: 1.05-1.42). However, the variations in the dependent variables by the mathematical regression models were low. Despite the frequent use of computer and video games among adolescents, this was not associated with the presence of pain and musculoskeletal pain syndromes. PMID: 16552547 [PubMed - as supplied by publisher]
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