Aims/hypothesis: We compared the screening performance of different measures of depression: the standard clinical assessment (SCA); the Beck Depression Inventory (BDI); the Center of Epidemiological StudiesDepression Scale (CES-D); and the Problem Areas in Diabetes (PAID) questionnaire, which assesses diabetesspecific distress. We also studied the ability of these measures to detect diabetes-related distress. Materials and methods: A total of 376 diabetic patients (37.2% type 1; 23.9% type 2 without insulin treatment, 38.8% type 2 with insulin) completed the BDI and CES-D; patients who screened positive participated in a diagnostic interview, the Composite International Diagnostic Interview (CIDI). Also, all patients completed the PAID questionnaire. Results of the SCA that related to depression diagnosis were reviewed to correct for false negative screening results. Results: The prevalence of clinical depression was 14.1%, with an additional 18.9% of patients receiving a diagnosis of subclinical depression. Sensitivity for clinical depression in SCA (56%) was moderate, whereas BDI, CES-D and the PAID questionnaire showed satisfactory sensitivity (87, 79 and 81%, respectively). For subclinical depression, the sensitivity of the PAID questionnaire (79%) was sufficient, whereas that of SCA (25%) was poor. All methods showed low sensitivity for the detection of diabetes-specific emotional problems (SCA 19%, CIDI 34%, BDI 60%, CES-D 49%). Conclusions/interpretation: The screening performance of SCA for clinical and subclinical depression was modest. Additional screening for depression using the PAID or another depression questionnaire seems reasonable. The ability of depression screening measures to identify diabetes-related distress is modest, suggesting that the PAID questionnaire could be useful when screening diabetic patients for both depression and emotional problems.
The prevalence of affective disorders in diabetic patients was twofold higher than in the non-diabetic population, whereas prevalence for anxiety disorders was not increased. Analysis of risk factors can facilitate the identification of patients who are at a greater risk for these disorders.
Depression is linked to hyperglycaemia via suboptimal diabetes self-management: A cross-sectional mediation analysis. The address for the corresponding author was captured as affiliation for all authors. Please check if appropriate. Psr(2016Psr( ), doi: 10.1016Psr( / j.jpsychores.2016 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ACCEPTED MANUSCRIPT
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Abstract ObjectiveTo analyse if the association between depressive symptoms and hyperglycaemia is mediated by diabetes self-management.
Methods430 people with diabetes (57.7% type 1, 42.3% type 2) were cross-sectionally assessed using validated self-report scales for depressive symptoms (Center for
ResultsThe hypothesised model of depressive symptoms, diabetes self-management and hyperglycaemia fit the data well for both diabetes types (SRMR ≤ 0.04, TLI ≥ 0.99, CFI > 0.99, RMSEA ≤ 0.02 for both models). In both the type 1 and type 2 diabetes group, higher depressive symptoms were associated with lower self-management (P < 0.001), and lower self-management was associated with higher HbA 1c (P < 0.001).Results indicated that the association between depressive symptoms and hyperglycaemia was significantly mediated by suboptimal diabetes self-management in both type 1 and type 2 diabetes patients (P < 0.001). Significant direct associations
ACCEPTED MANUSCRIPTA C C E P T E D M A N U S C R I P T 2 between depressive symptoms and hyperglycaemia, not mediated by selfmanagement, could not be observed.
ConclusionsThis study provides good evidence supporting that depression is linked to hyperglycaemia via suboptimal diabetes self-management in both major diabetes types.
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