Social variables for replication of studies using mean scores of social support, self-care, and fibromyalgia knowledge: a cross-sectional study.

Abstract

To investigate biopsychosocial variables that contribute to explaining social support, self-care, and fibromyalgia knowledge in patients with fibromyalgia. A cross-sectional study. We built ten models of predictive variables (schooling, ethnicity, associated diseases, body regions affected by pain, employment status, monthly income, marital status, health level, medication, sports activities, interpersonal relationships, nutrition level, widespread pain, symptom severity, cohabitation, dependent people, number of children, social support, self-care, and fibromyalgia knowledge) and individually tested their explanatory performance to predict mean scores on the Fibromyalgia Knowledge Questionnaire (FKQ), Medical Outcomes Study's Social Support Scale (MOS-SSS), and Appraisal of Self-Care Agency Scale-Revised (ASAS-R). We used analysis of variance to verify the association among all variables of mathematically adjusted models (F-value ≥ 2.20) and we reported only models corrected with p < 0.05 and R2 > 0.20. One hundred and ninety people with fibromyalgia (aged 42.3 ± 9.7years) participated in the study. Our results show that the variables schooling, ethnicity, body regions affected by pain, frequency of sports activities, dependent people, number of children, widespread pain, social support, and self-care determine 27% of the mean FKQ scores. Marital status, self-care, and fibromyalgia knowledge determine 22% of mean MOS-SSS scores. Schooling, ethnicity, employment status, frequency of sports activities, nutrition level, cohabitation, number of children, social support, and fibromyalgia knowledge determine 30% of the mean ASAS-R scores. Studies using mean scores of social support, self-care, and fibromyalgia knowledge should collect and analyze the social variables described in the present study.