Evidence map›Paper›PMID 27547056›Full record

ArticleClujul medical (1957)2016

Depression in romanian patients with type 2 diabetes: prevalence and risk factors.

Andreia S Mocan, Silvia S Iancu, Livia Duma, Camelia Mureseanu, Adriana S Baban

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Article in Clujul medical (1957), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Andreia S MocanCenter for Diabetes, Nutrition and Metabolic Diseases, Emergency Clinical County Hospital Cluj, Romania; Department of Psychology and Educational Sciences, Babes-Bolyai University, Cluj, Romania.
Silvia S IancuCenter for Diabetes, Nutrition and Metabolic Diseases, Emergency Clinical County Hospital Cluj, Romania.
Livia DumaCenter for Diabetes, Nutrition and Metabolic Diseases, Emergency Clinical County Hospital Cluj, Romania.
Camelia MureseanuDepartment of Psychology and Educational Sciences, Babes-Bolyai University, Cluj, Romania.
Adriana S BabanDepartment of Psychology and Educational Sciences, Babes-Bolyai University, Cluj, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsCo-existing major depression was found to have a negative impact on the diabetes outcome and the quality of life. The aim of the present study was to assess the prevalence of depressive symptoms in Romanian diabetes patients and to identify the risk factors associated with depression.

methodsA total of 144 type 2 diabetes patients were included in the study. Five models of presumed predictors were used to assess the risk factors for depressive symptoms, using hierarchical regression analysis. Together with demographics, disease, lifestyle predictors, previous depressive symptoms and diabetes distress were taken into account.

resultsIn our sample the prevalence of depression was 12.6%. Main risk factors for depressive symptoms were previous depressive symptoms which were associated with depression in both Model 4 (β=0.297, p=0.013) and Model 5 (β=0.239, p=0.017) and diabetes distress in Model 5 (β=0.540, p≤0.001). Employment (β =-0.276, p=0.029) and increased number of diabetes complications (β=0.236, p=0.017) became significant when diabetes distress was added to the analysis.

conclusionsThe overall prevalence of depressive symptoms was found to be in range with the prevalence identified in the literature. Previous depression and diabetes distress were both independently associated with depression, confirming the bidirectional relationship between depression and diabetes distress. Due to the consequences for daily living, screening for diabetes distress and depression should be done in primary care units both by physicians and trained nurses.

Indexed as

depressiondiabetes distresstype 2 diabetes

Identifiers

PMID27547056
PMCPMC4990432

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