Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/12180
Title: Depression and risk of Type 2 diabetes: The potential role of metabolic factors
Authors: Schmitz, N
Deschenes, SS
Burns, RJ
Smith, KJ
Lesage, A
Strychar, I
Rabasa-Lhoret, R
Freitas, C
Graham, E
Awadalla, P
Wang, J
Issue Date: 2016
Publisher: Nature Publishing Group: Open Access Hybrid Model Option B
Citation: Molecular Psychiatry, (2016)
Abstract: The aim of the present study was to evaluate the interaction between depressive symptoms and metabolic dysregulations as risk factors for type 2 diabetes. The sample was comprised of 2525 adults who participated in a baseline and a follow-up assessment over a 4.5 year period in the Emotional Health and Wellbeing Study (EMHS) in Quebec, Canada. A two-way stratified sampling design was employed, based on the presence of depressive symptoms and metabolic dysregulation (obesity, elevated blood sugar, high blood pressure, high levels of triglycerides, and decreased high-density lipoprotein). A total of 87 (3.5%) individuals developed diabetes. Participants with both depressive symptoms and metabolic dysregulation had the highest risk of diabetes (adjusted odds ratio=6.61, 95% CI: 4.86-9.01), compared to those without depressive symptoms and metabolic dysregulation (reference group). The risk of diabetes in individuals with depressive symptoms and without metabolic dysregulation did not differ from the reference group (adjusted odds ratio=1.28, 95% CI: 0.81-2.03), whereas the adjusted odds ratio for those with metabolic dysregulation and without depressive symptoms was 4.40 (95% CI: 3.42-5.67). The Synergy Index (SI=1.52; 95% CI: 1.07-2.17) suggested that the combined effect of depressive symptoms and metabolic dysregulation was greater than the sum of individual effects. An interaction between depression and metabolic dysregulation was also suggested by a structural equation model. Our study highlights the interaction between depressive symptoms and metabolic dysregulation as a risk factor for type 2 diabetes. Early identification, monitoring, and a comprehensive management approach of both conditions might be an important diabetes prevention strategy.
URI: http://www.nature.com/mp/journal/vaop/ncurrent/full/mp20167a.html
http://bura.brunel.ac.uk/handle/2438/12180
DOI: http://dx.doi.org/10.1038/mp.2016.7
ISSN: 1476-5578
Appears in Collections:Dept of Life Sciences Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.docx176.95 kBUnknownView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.