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Examining Biobehavioral Variables and Predictors Associated with

                                                 Type 2 Diabetes Self-Management


                                                                    Dr. Karin Emery




                  Aims: Guided by the Self and Family-Management framework, relationships between diabetes distress, self-
                  efficacy, resilience and outcomes of HbA1c, quality of life and health status were explored.

                  Methods: A cross sectional descriptive design was used. 78 individuals were enrolled from US clinics. Data

                  were analyzed to test for associations, main effects and interactions and predictors of self-management.

                  Results: Low diabetes distress (M=20.53), high self-efficacy (M=7.32), moderate resilience (M=80.27), and
                  mean HbA1c 7.35%/56.88mmol/mol. 76% scored above the mental health norm, 46% scored above the
                  physical health norm. Average weighted quality of life = -1.74. Significant correlations and interactions were
                  found. Distress was a significant predictor of health status and quality of life.


                  Conclusion: The results confirm facilitators and barriers and their relationships with outcomes. This study
                  contributes to the understanding of the emotional aspect of diabetes. Continuing this work will allow
                  researchers to better understand self-management, support self-management efforts and better outcomes.

                  The speaker declares no actual or perceived conflicts of interest.
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