Endocrine Abstracts (2010) 22 P281

The frequency of depression estimation among patients with diabetes mellitus

Yana Navmenova1 & Tatiana Mokhort2

1Gomel State Medical University, Gomel, Belarus; 2Belarussian State Medical University, Minsk, Belarus.

One of the most frequent psychological disturbances at patients with diabetes mellitus are depressions. According to the literature, the prevalence of depressions at patients with diabetes mellitus are ranging widely from 3.8 to 60.7%. This differences depend on diabetic population and the method of depression estimation.

Objectives: To estimate the frequency of depression in patients with type 1 and type 2 diabetes mellitus (T1DM and T2DM)).

Materials and methods: We studied 56 diabetic patients, including 24 patients with T1DM and 32 patients with T2DM (36 females (64.3%) and 20 males (35.7%) and 36 healthy persons including 17 males (47.2%) and 19 females (52.8%). Mean age at the moment of observation was 49.23±11.42 years; age at diabetes duration 10.88±9.47years. Diabetic and non-diabetic subgroups were matched for age and gender. Anxiety and depression hospital scale (HADS) and Beck depression scale were used for depression verification in both groups.

Results and discussion: The frequency of depression by the results of axiety and depression hospital scale (HADS), depression consist 33.9% as it were verified in 19 diabetic patients. The average index of HADS has made up 11.00±2.32 scores versus 16.7% and 4.03±3.26 points in the control group (P=0.007). By the results of estimation with using of Beck scale the depression was detected in 14 patients with diabetes (25%). The average score has made 14.21±3.84 vs 3 persons (10%) and 4.12±4.51 scores in the control group (P>0.05). We analysed the frequency of depressions in dependence of diabetes duration and there were detected no reliable distinctions.

Conclusion: We can assume that diabetic patients with diabetes are at risk of depression. So in patients with diabetes depression were detected authentically more often up to 34% (using different diagnostics approaches) than among healthy population. Further study is required to develop differentiated approach for depression diagnostics and treatment of diabetes.

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