Literature DB >> 21824180

Screening tools used for measuring depression among people with Type 1 and Type 2 diabetes: a systematic review.

T Roy1, C E Lloyd, F Pouwer, R I G Holt, N Sartorius.   

Abstract

BACKGROUND: Depression is common in patients with Type 1 or Type 2 diabetes, has a strong negative impact on the quality of life of patients and is associated with poor outcomes and higher mortality rates. Several guidelines encourage screening of patients with diabetes for depression. It is unclear which depression screening tools are currently being used in people with diabetes and which are most appropriate.
METHODS: A systematic review was conducted to examine which depression screening instruments are currently being used in diabetes research, and the operating characteristics of these tools in diabetes populations. Literature searches for the period January 1970 to October 2010 were conducted using MEDLINE, PSYCH-INFO, ASSIA, SCOPUS, ACADEMIC SEARCH COMPLETE, CINAHL and SCIENCE DIRECT.
RESULTS: Data are presented for the 234 published studies that were examined. The Beck Depression Inventory and the Centre for Epidemiologic Studies Depression Scale were the most popular screening tools (used in 24% and 21% of studies). Information on the cultural applicability of screening tools was mostly unavailable and, where reported, included only details of the language translation process. A small number of studies reported reliability data, most of which showed moderate-good sensitivity and specificity but a high rate of false positives.
CONCLUSIONS: Although a range of depression screening tools have been used in research, there remains few data on their reliability and validity. Information on the cultural applicability of these instruments is even scantier. Further research is required in order to determine the suitability of screening tools for use in clinical practice and to address the increasing problem of co-morbid diabetes and depression.
© 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK.

Entities:  

Mesh:

Year:  2012        PMID: 21824180     DOI: 10.1111/j.1464-5491.2011.03401.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  38 in total

1.  A psychoeducational intervention (SWEEP) for depressed women with diabetes.

Authors:  Sue M Penckofer; Carol Ferrans; Patricia Mumby; Mary Byrn; Mary Ann Emanuele; Patrick R Harrison; Ramon A Durazo-Arvizu; Patrick Lustman
Journal:  Ann Behav Med       Date:  2012-10

Review 2.  Predictors of depression symptoms in patients with diabetes in Slovakia.

Authors:  Marek Majdan; Lenka Krajcovicova; Jarmila Pekarcikova; Razvan Chereches; Monica O'Mullane
Journal:  Int J Psychiatry Med       Date:  2012       Impact factor: 1.210

3.  Relationships between Cognitive Performance, Neuroimaging and Vascular Disease: The DHS-MIND Study.

Authors:  Fang-Chi Hsu; Laura M Raffield; Christina E Hugenschmidt; Amanda Cox; Jianzhao Xu; J Jeffery Carr; Barry I Freedman; Joseph A Maldjian; Jeff D Williamson; Donald W Bowden
Journal:  Neuroepidemiology       Date:  2015-07-14       Impact factor: 3.282

4.  Probing for depression and finding diabetes: a mixed-methods analysis of depression interviews with adults treated for type 2 diabetes.

Authors:  Molly L Tanenbaum; Marilyn D Ritholz; Deborah H Binko; Rachel N Baek; M S Erica Shreck; Jeffrey S Gonzalez
Journal:  J Affect Disord       Date:  2013-02-27       Impact factor: 4.839

Review 5.  The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision.

Authors:  L Fisher; J S Gonzalez; W H Polonsky
Journal:  Diabet Med       Date:  2014-07       Impact factor: 4.359

6.  Tangled Up in Blue: Unraveling the Links Between Emotional Distress and Treatment Adherence in Type 2 Diabetes.

Authors:  Jeffrey S Gonzalez; Naomi S Kane; Deborah H Binko; Amit Shapira; Claire J Hoogendoorn
Journal:  Diabetes Care       Date:  2016-10-17       Impact factor: 19.112

Review 7.  Diabetes and depression.

Authors:  Richard I G Holt; Mary de Groot; Sherita Hill Golden
Journal:  Curr Diab Rep       Date:  2014-06       Impact factor: 4.810

8.  Adiposity is inversely associated with hippocampal volume in African Americans and European Americans with diabetes.

Authors:  Fang-Chi Hsu; Mingxia Yuan; Donald W Bowden; Jianzhao Xu; S Carrie Smith; Lynne E Wagenknecht; Carl D Langefeld; Jasmin Divers; Thomas C Register; J Jeffrey Carr; Jeff D Williamson; Kaycee M Sink; Joseph A Maldjian; Barry I Freedman
Journal:  J Diabetes Complications       Date:  2016-08-19       Impact factor: 2.852

9.  Association of depression with accelerated cognitive decline among patients with type 2 diabetes in the ACCORD-MIND trial.

Authors:  Mark D Sullivan; Wayne J Katon; Laura C Lovato; Michael E Miller; Anne M Murray; Karen R Horowitz; R Nick Bryan; Hertzel C Gerstein; Santica Marcovina; Basil E Akpunonu; Janice Johnson; Jean Francois Yale; Jeff Williamson; Lenore J Launer
Journal:  JAMA Psychiatry       Date:  2013-10       Impact factor: 21.596

Review 10.  Depression and quality of life in youth-onset type 2 diabetes mellitus.

Authors:  Natalie Walders-Abramson
Journal:  Curr Diab Rep       Date:  2014-01       Impact factor: 4.810

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