Hemoglobin A1c variability predicts symptoms of depression in elderly individuals with type 2 diabetes

Abstract

OBJECTIVE This study aimed to analyze the relationship of variability in hemoglobin A1c (HbA1c) over years with subsequent depressive symptoms. RESEARCH DESIGN AND METHODS Subjects (n = 837) were participants of the Israel Diabetes and Cognitive Decline (IDCD) study,which aimed to examine the relationship of characteristics of long-term type 2 diabeteswith cognitive decline. All pertain to a diabetes registry established in 1998, which contains an average of 18 HbA1c measurements per subject. The results presented here are based on the IDCD baseline examination. Symptoms of depression were assessed using the 15-itemversion of the Geriatric Depression Scale (GDS). To quantify the association between variability in glycemic control (measured as the SD of HbA1c measurements [HbA1c-SD]) since 1998 with the number of depression symptoms at IDCD baseline, incidence rate ratios (IRRs) and corresponding 95% CIs were estimated via negative binomial regression modeling and used to account for the overdispersion in GDS scores. RESULTS Subjects' ages averaged 72.74 years (SD 4.63 years), and themean number of years in the diabetes registrywas 8.7 (SD 2.64 years). The meanGDS score was 2.16 (SD 2.26); 10% of subjects had a GDS score 6, the cutoff for clinically significant depression. Mean HbA1c significantly correlated with HbA1c-SD (r = 0.6625; P < 0.0001). The SD, but not the mean, of HbA1c measurements was significantly associated with the number of subsequent depressive symptoms. For each additional 1% increase in HbA1c-SD, the number of depressive symptoms increased by a factor of 1.31 (IRR = 1.31 [95% CI 1.03-1.67]; P = 0.03). CONCLUSIONS Variability in glycemic control is associated with more depressive symptoms.