Molly L Tanenbaum1, Jeffrey S Gonzalez1,2. 1. The Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York (Ms Tanenbaum, Dr Gonzalez) 2. The Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York (Dr Gonzalez)
Abstract
PURPOSE: The purpose of the study was to examine the role of diabetes and diabetes-related distress within clinician-administered depression interviews of adults with type 1 diabetes. METHODS: This mixed-methods study coded responses to a structured clinical interview of depressive symptom severity administered to adults with type 1 diabetes (n = 34; 65% female; 56% white, 38% African American, 27% Hispanic). Pearson correlations and t tests assessed relationships between interview-based and self-reported ratings of diabetes-related distress and depression. RESULTS: Among participants endorsing depressive symptoms in the interview, 73% mentioned diabetes as a contributing factor. Themes emerged relating to (1) a link between diabetes symptoms and distress, including problems with appetite, sleep, concentration, and social relationships; (2) overlapping symptoms between diabetes and depression; and (3) the perceived interconnectedness of mood and blood glucose levels. Clinician-assessed depression ratings were strongly associated with self-reported ratings of depression and self-reported diabetes-related distress. Interview-based diabetes-related distress was significantly associated with self-reported diabetes-related distress. Those with a diagnosis of major depressive disorder (44%) reported more diabetes-related distress. CONCLUSIONS: Results suggest that diabetes may influence the evaluation of depression, even in standardized clinical interviews administered by trained professionals, the gold standard of assessment. Findings highlight a need for improved conceptualization and measurement of distress in individuals with diabetes to distinguish between symptoms caused by illness burden and those indicating a psychiatric disorder.
PURPOSE: The purpose of the study was to examine the role of diabetes and diabetes-related distress within clinician-administered depression interviews of adults with type 1 diabetes. METHODS: This mixed-methods study coded responses to a structured clinical interview of depressive symptom severity administered to adults with type 1 diabetes (n = 34; 65% female; 56% white, 38% African American, 27% Hispanic). Pearson correlations and t tests assessed relationships between interview-based and self-reported ratings of diabetes-related distress and depression. RESULTS: Among participants endorsing depressive symptoms in the interview, 73% mentioned diabetes as a contributing factor. Themes emerged relating to (1) a link between diabetes symptoms and distress, including problems with appetite, sleep, concentration, and social relationships; (2) overlapping symptoms between diabetes and depression; and (3) the perceived interconnectedness of mood and blood glucose levels. Clinician-assessed depression ratings were strongly associated with self-reported ratings of depression and self-reported diabetes-related distress. Interview-based diabetes-related distress was significantly associated with self-reported diabetes-related distress. Those with a diagnosis of major depressive disorder (44%) reported more diabetes-related distress. CONCLUSIONS: Results suggest that diabetes may influence the evaluation of depression, even in standardized clinical interviews administered by trained professionals, the gold standard of assessment. Findings highlight a need for improved conceptualization and measurement of distress in individuals with diabetes to distinguish between symptoms caused by illness burden and those indicating a psychiatric disorder.
Authors: Molly L Tanenbaum; Marilyn D Ritholz; Deborah H Binko; Rachel N Baek; M S Erica Shreck; Jeffrey S Gonzalez Journal: J Affect Disord Date: 2013-02-27 Impact factor: 4.839
Authors: Hanna Kampling; Frank Petrak; Erik Farin; Bernd Kulzer; Stephan Herpertz; Oskar Mittag Journal: Diabetologia Date: 2016-10-27 Impact factor: 10.122