Erik R Vanderlip1, Wayne Katon2, Joan Russo2, Dan Lessler3, Paul Ciechanowski2. 1. Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA. Electronic address: ervander@uw.edu. 2. Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA. 3. Washington State Health Care Authority, Olympia, WA.
Abstract
BACKGROUND: Depression and diabetes are highly comorbid, with depression increasing risk of diabetes-related complications and mortality. Few studies have examined the relationship between depression and diabetes in safety-net populations with high rates of trauma exposure, anxiety, and substance use disorders. METHODS: Using a cross-sectional survey of 261 patients with diabetes attending safety-net clinics, associations between depression and key diabetes control parameters were examined in bivariate and multivariable analyses adjusting for relevant confounders and significant interactions. RESULTS: Among the participants, 57% were men, 51% were white, and the average age was 57 years. Most respondents were unemployed (81%) and earned less than $10,000 per year (51%). Overall, 28% screened positive for depression, with a high overlap of posttraumatic stress (58%) and generalized anxiety (77%) symptoms. After adjustment for socioeconomic and clinical variables, depression was associated with higher mean body mass index (p = 0.01), severe obesity (body mass index ≥ 35kg/m(2)) (odds ratio = 2.34, 95% CI: 1.09-5.04, p = 0.03) and uncontrolled diastolic blood pressure (odds ratio = 2.49, 95% CI: 1.15-5.39, p = 0.02). There was a nonsignificant trend for those with depression to have worse control of blood glucose. Associations with depression and diabetes clinical outcomes were not significantly worsened in the presence of comorbid anxiety disorders. CONCLUSIONS: Within a highly comorbid safety-net population, significant associations between depression and key diabetes outcomes remained after accounting for relevant covariates. Further research will help elucidate the relationship between depression and diabetes control measures in safety-net populations. Published by Elsevier Inc.
BACKGROUND:Depression and diabetes are highly comorbid, with depression increasing risk of diabetes-related complications and mortality. Few studies have examined the relationship between depression and diabetes in safety-net populations with high rates of trauma exposure, anxiety, and substance use disorders. METHODS: Using a cross-sectional survey of 261 patients with diabetes attending safety-net clinics, associations between depression and key diabetes control parameters were examined in bivariate and multivariable analyses adjusting for relevant confounders and significant interactions. RESULTS: Among the participants, 57% were men, 51% were white, and the average age was 57 years. Most respondents were unemployed (81%) and earned less than $10,000 per year (51%). Overall, 28% screened positive for depression, with a high overlap of posttraumatic stress (58%) and generalized anxiety (77%) symptoms. After adjustment for socioeconomic and clinical variables, depression was associated with higher mean body mass index (p = 0.01), severe obesity (body mass index ≥ 35kg/m(2)) (odds ratio = 2.34, 95% CI: 1.09-5.04, p = 0.03) and uncontrolled diastolic blood pressure (odds ratio = 2.49, 95% CI: 1.15-5.39, p = 0.02). There was a nonsignificant trend for those with depression to have worse control of blood glucose. Associations with depression and diabetesclinical outcomes were not significantly worsened in the presence of comorbid anxiety disorders. CONCLUSIONS: Within a highly comorbid safety-net population, significant associations between depression and key diabetes outcomes remained after accounting for relevant covariates. Further research will help elucidate the relationship between depression and diabetes control measures in safety-net populations. Published by Elsevier Inc.