Patterns and Stability over Time of Older Adults' Diabetes-related Beliefs

We sought to identify coherent profiles of diabetes beliefs within discrete domains (ie causes, symptoms, consequences, self management, and medical management), and delineate consistency of belief profiles over one month.

Diabetes beliefs of rural-dwelling older adults were assessed with the Common Sense Model of Diabetes Inventory at baseline (N = 593) and one month later (N = 563).

A discrete number of belief patterns were identified in each belief domain using latent class analysis. Belief patterns varied by the extent to which more popular or folk notions of diabetes encroached on biomedical understandings of the disease. Belief patterns were generally stable over time.

A manageable number of belief patterns can be identified and used to strengthen patient-centered care and, potentially, enhance diabetes management.