Symptoms (pain, fatigue, sleep disturbance, depression, and anxiety) in inflammatory bowel disease (IBD) are associated with reduced quality of life. Understanding how IBD symptoms cluster and the clinical and demographic factors associated with symptom clusters will enable focused development of symptom management interventions. The study purposes were to (i) identify symptom cluster membership among adults with IBD and (ii) examine associations between demographic (age, gender, race/ethnicity, and education) and clinical factors (smoking status, time since diagnosis, medication type, IBD type, disease activity), and membership in specific symptom cluster groups. We conducted a retrospective study of data from the Crohn's and Colitis Foundation of America's (CCFA) Partners Cohort and used Patient Reported Outcome Measurement Information System (PROMIS) measures to measure pain interference, fatigue, sleep disturbance, anxiety, and depression. The sample included 5,296 participants with IBD (mean age 44, 72% female). In latent class analysis (LCA), four groups of participants were identified based on symptoms: "low symptom burden" (26% of sample), "high symptom burden" (38%), "physical symptoms" (22%), and "psychological symptoms" (14%). In multinomial regression, female gender, smoking, corticosteroids, Crohn's disease, and active disease state were associated with membership in the high symptom burden group. Additional research is needed to test interventions that may be effective at reducing symptom burden for individuals with IBD.
Keywords: PROMIS; inflammatory bowel disease; latent class analysis; symptom clusters; symptoms.
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