| ObjectiveTo investigate the bidirectional associations between depression and type 2 diabetes in adults in Qingdao city, provide a scientific basis for prevention and intervention of the community depression and type 2 diabetes.MethodsFace-to-face structured survey interviews were conducted among 6100 individuals aged 35-74 years randomly selected from six districts of Qingdao city(Shinan, Shibei, Sifang, Kafaqu, Jiaonan, Jimo).2974 people completed questionnaire survey, physical examination, laboratory test and Zung self rating depression scale (SDS), meanwhile, met the conditions of this study. The questionnaires were collected and the database was established. The continuous variables were expressed in mean differences ±standard deviation. The analysis of variance was used for the inter group comparison. Categorical variable was expressed by rate. The groups were compared with chi-square test. Risk factors associated with the risk of depression and type 2 diabetes mellitus were screened by using Regression Logistic. Correction factors included age, gender, body mass index, residential area, triglyceride, high blood pressure, diabetes family history, marital status, education and income level, work status, smoking and drinking status.Results1. A total of 2974 investigation objects (mean age of 50±9.9years), were included in the current study, with prevalence of type 2 diabetes and depression 16.4% and 10.1%, respectively.2. The single factor analysis on influencing factors of depression showed that type 2 diabetes, residence, gender, work status, marital status, fasting blood glucose and 2 hours of blood glucose, glycosylated hemoglobin, cholesterol, high density lipoprotein and low density lipoprotein were different in the depression and non depression (P< 0.05).The results of univariate analysis on risk factors of type 2 diabetes mellitus showed that depression, education level, income, marital status, work status, family history of diabetes, WC, BMI, blood pressure and biochemical parameters were different in type 2 diabetes and non type 2 diabetes mellitus (P< 0.05).3. Multivariate Logistic regression analysis showed that, after adjusting the risk factors for depression, the OR value and the 95% confidence interval (95%CI) of diabetes mellitus (DM) were 1.435 (1.050-1.963) in the risk of depression. After adjusting the risk factors for diabetes, the OR value and the 95% confidence interval (95%CI) of depression were 1.567 (1.142-2.150) in the risk of type 2 diabetes mellitus.4. Multivariate non-conditioned logistic regression analysis showed that, marital status is the common factor of type 2 diabetes and depression. The OR (95%CI) of older unmarried factor are 3.946 (1.015-15.345) and 4.129 (1.050-16.241) in the risk of depression and type 2 diabetes, respectively. Multivariate Logistic regression analysis of risk factors for depression showed that, the place of residence in rural areas, laid-off or unemployed have an impact on the risk of depression. The OR value and 95%CI were 0.335 (0.250-0.448) and 1.587 (1.072-2.348), respectively. Multivariate non conditional Logistic regression analysis of risk factors of diabetes mellitus showed that, age(OR=1.065,95%CI was 1.051-1.080), body mass index (OR=1.063,95%CI was 1.031-1.096), family history of diabetes (OR=1.928, 95%CI was 1.493-2.490), systolic blood pressure (OR=1.01095%CI was 1.005-1.015), triglyceride levels were the factors affecting diabetes (OR=1.514,95% CI was 1.366-1.679).ConclusionAdult depression and type 2 diabetes are the independent risk factors of increasing risk of type 2 diabetes and depression, respectively. The older unmarried factor increased both risk of two diseases. Suggestions in community health management are strengthening community mental disease prevention and intervention in crowd, especially the elderly and older unmarried people, carrying out health education and psychological intervention of diabetes and other chronic diseases, advocating a healthy way of life, in order to reduce the occurrence of chronic diseases and mental disorders. |