46-LB: A New Approach to Understand Diabetes Burnout—Examining Potential Burnout Profiles?

Aim: The study aimed to identify latent profiles of diabetes burnout and examine if there are significant differences in psychosocial well-being, diabetes outcomes, and demographic characteristics between individuals with varying burnout profiles. Methods: A national sample of adults with T1D (n=1099) completed an online cross-sectional survey across the U.S. We used Diabetes Burnout Scale (DBS) to collect data on diabetes burnout (i.e., exhaustion, detachment, lack of control) . We also measured diabetes distress, depressive symptoms, glycemic control, and demographic characteristics. Data were analyzed using latent class analysis (LCA) , and the resulting profiles were validated using Chi-square and Kruskal Wallis test. Results: Results showed a seven latent burnout profiles: (a) fully burned out (n=275, 25.02%) ; (b) exhausted (n=148, 13.47%) ; (c) Dissociated (n= 132, 12.56%) ; (d) overextended (n= 135, 12.28%) ; (e) disengaged (n=90, 8.18%) ; (f) loss of control (n=48, 4.37%) . Among participants, 275 (25.02%) were categorized as not having any symptoms of burnout. Examination of the profiles suggested a non-linear relationship between exhaustion, detachment, and lack of control. The results revealed that there were significant differences in diabetes distress, depressive symptoms, and demographic characteristics between individuals with different burnout profiles. Among profiles, fully burned-out profile was a stronger predictor for glycemic control. Conclusion: This is the first study examining statistically different profiles of diabetes burnout in adults with T1D. The identification of burnout profiles and the developmental model can inform targeted interventions to address burnout in each specific profile and prevent burnout to result devastating consequences. Disclosure S. Abdoli: None. K. L. Miller: None. D. M. Hessler: None.