This study sought to investigate the existence of subgroups within a fibromyalgia (FM) sample based on physical and cognitive performance measures, as well as self-report psychological measures. A multisystem disorder characterized by widespread musculoskeletal pain and co-morbid conditions, FM can lead to declines in cognitive functioning and difficulty with psychological health.
Community participants (n = 57 women) recruited from support groups and university center databases provided documentation of having met the criteria for diagnosis of FM. Measures included validated performance and self-report instruments. Analysis was completed using hierarchical cluster analysis; a four cluster solution was chosen for its level of interpretability. The resulting model identified four distinct subgroups based upon patterns of performance and symptomology. Significant group differences were found on pain, fatigue, stiffness, and level of physical activity.
Nurse practitioners aware of potential subgroups within FM should be better prepared to recommend treatment options for patients that target subgroup characteristics (e.g., high vs. low levels of psychological symptoms).
Study results support the existence of subgroups among the FM population based on levels of cognitive and physical performance and psychological symptoms.