ABSTRACT
Increased prevalence of depression has been reported among diabetes patients. We examined this association between diabetes and depressive symptoms in a population-based study where glucose tolerance status was determined with World Health Organization (WHO) criteria. Fasting plasma glucose (FPG) was determined from blood collected from 574 native Hawaiians. The Centers for Epidemiological Studies-Depression (CES-D) scale was used to assess depressive symptoms in association with diabetes history and hemoglobin A1c (HbA1c). A significant association was observed between depressive symptoms and HBA1c that persisted after adjusting for age, BMI, gender, education, and after exclusion of participants reporting a history of diabetes. Diabetes history was no longer associated with CES-D depressive symptoms after adjusting for HbA1c. These results support the hypothesis that depressive symptoms associated with diabetes may be partially explained by a shared neuroendocrinological disturbance.
Subject(s)
Depression/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Adult , Age Distribution , Aged , Aged, 80 and over , Asian , Blood Glucose , Body Mass Index , Chronic Disease , Comorbidity , Depression/blood , Depression/diagnosis , Diabetes Mellitus, Type 2/blood , Educational Status , Female , Glycated Hemoglobin/metabolism , Hawaii/epidemiology , Humans , Logistic Models , Male , Middle Aged , Odds Ratio , Prevalence , Psychological Tests , Sex Distribution , Social SupportABSTRACT
The present study estimated the prevalence of depressive symptoms and cigarette smoking and examined the relationship between depressive symptoms and cigarette smoking among native Hawaiians. Cross-sectional data from 524 rural, native Hawaiian from the Native Hawaiian Health Research Project are presented. Depressive symptoms were measured using the self-report Centre for Epidemiological Studies--Depression Scale. Information on smoking behavior and sociodemographic variables was collected. The prevalence of depressive symptoms was 15%, and significantly higher among participants with lower educational attainment. The prevalence of current smokers was 32%, and significantly higher among younger adults and participants with lower educational attainment. Regression analyses reported a significant relationship between CES-D scores and smoking status as well as between CES-D scores and number of cigarettes smoked daily. However, when education and age were included in the regression models, the relationships were attenuated. The findings and implications of this study are discussed.
