RESUMO
AIMS: Information on the burden and risk factors for diabetes-depression comorbidity in the US is sparse. We used data from the largest all-payer, nationally-representative inpatient database in the US to estimate the prevalence, temporal trends, and risk factors for comorbid depression among adult diabetic inpatients. METHODS: We conducted a retrospective analysis using the 2002-2014 Nationwide Inpatient Sample databases. Depression and other comorbidities were identified using ICD-9-CM codes. Logistic regression was used to investigate the association between patient characteristics and depression. RESULTS: The rate of depression among patients with type 2 diabetes increased from 7.6% in 2002 to 15.4% in 2014, while for type 1 diabetes the rate increased from 8.7% in 2002 to 19.6% in 2014. The highest rates of depression were observed among females, non-Hispanic whites, younger patients, and patients with five or more chronic comorbidities. CONCLUSIONS: The prevalence of comorbid depression among diabetic inpatients in the US is increasing rapidly. Although some portion of this increase could be explained by the rising prevalence of multimorbidity, increased awareness and likelihood of diagnosis of comorbid depression by physicians and better documentation as a result of the increased adoption of electronic health records likely contributed to this trend.