Literature DB >> 26903269

Depression and risk of type 2 diabetes: the potential role of metabolic factors.

N Schmitz1,2,3,4, S S Deschênes1,2, R J Burns1,2, K J Smith5, A Lesage6, I Strychar4,7, R Rabasa-Lhoret4,7,8, C Freitas2,3, E Graham2,3, P Awadalla9, J L Wang10.   

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 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 used, on the basis of 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% confidence interval (CI): 4.86-9.01), compared with 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.

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Year:  2016        PMID: 26903269     DOI: 10.1038/mp.2016.7

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  40 in total

1.  What is the concordance between the medical record and patient self-report as data sources for ambulatory care?

Authors:  Diana M Tisnado; John L Adams; Honghu Liu; Cheryl L Damberg; Wen-Pin Chen; Fang Ashlee Hu; David M Carlisle; Carol M Mangione; Katherine L Kahn
Journal:  Med Care       Date:  2006-02       Impact factor: 2.983

2.  The metabolic syndrome.

Authors:  Robert H Eckel; K G M M Alberti; Scott M Grundy; Paul Z Zimmet
Journal:  Lancet       Date:  2010-01-16       Impact factor: 79.321

3.  Heuristic model of depressive disorders as systemic chronic disease.

Authors:  Alain Lesage
Journal:  Epidemiol Psychiatr Sci       Date:  2015-06-03       Impact factor: 6.892

4.  Identifying depressive subtypes in a large cohort study: results from the Netherlands Study of Depression and Anxiety (NESDA).

Authors:  Femke Lamers; Peter de Jonge; Willem A Nolen; Johannes H Smit; Frans G Zitman; Aartjan T F Beekman; Brenda W J H Penninx
Journal:  J Clin Psychiatry       Date:  2010-07-13       Impact factor: 4.384

5.  Depression and medication adherence in the treatment of chronic diseases in the United States: a meta-analysis.

Authors:  Jerry L Grenard; Brett A Munjas; John L Adams; Marika Suttorp; Margaret Maglione; Elizabeth A McGlynn; Walid F Gellad
Journal:  J Gen Intern Med       Date:  2011-05-01       Impact factor: 5.128

6.  Metabolic depression: a chronic depressive subtype? Findings from the InCHIANTI study of older persons.

Authors:  Nicole Vogelzangs; Aartjan T F Beekman; Ingrid G Boelhouwer; Stefania Bandinelli; Yuri Milaneschi; Luigi Ferrucci; Brenda W J H Penninx
Journal:  J Clin Psychiatry       Date:  2011-04-05       Impact factor: 4.384

7.  An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes.

Authors:  Matthias B Schulze; Kurt Hoffmann; Heiner Boeing; Jakob Linseisen; Sabine Rohrmann; Matthias Möhlig; Andreas F H Pfeiffer; Joachim Spranger; Claus Thamer; Hans-Ulrich Häring; Andreas Fritsche; Hans-Georg Joost
Journal:  Diabetes Care       Date:  2007-03       Impact factor: 19.112

8.  The diabetes risk score: a practical tool to predict type 2 diabetes risk.

Authors:  Jaana Lindström; Jaakko Tuomilehto
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

9.  Summed score of the Patient Health Questionnaire-9 was a reliable and valid method for depression screening in chronically ill elderly patients.

Authors:  Femke Lamers; Catharina C M Jonkers; Hans Bosma; Brenda W J H Penninx; J André Knottnerus; Jacques Th M van Eijk
Journal:  J Clin Epidemiol       Date:  2008-02-14       Impact factor: 6.437

Review 10.  Metabolic syndrome and metabolic abnormalities in patients with major depressive disorder: a meta-analysis of prevalences and moderating variables.

Authors:  D Vancampfort; C U Correll; M Wampers; P Sienaert; A J Mitchell; A De Herdt; M Probst; T W Scheewe; M De Hert
Journal:  Psychol Med       Date:  2013-11-21       Impact factor: 7.723

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  18 in total

1.  The Relation of Light-to-Moderate Alcohol Consumption to Glucose Metabolism and Insulin Resistance in Nondiabetic Adults: the Moderating Effects of Depressive Symptom Severity, Adiposity, and Sex.

Authors:  Edward C Suarez; Jean C Beckham; Kimberly T Green
Journal:  Int J Behav Med       Date:  2017-12

2.  Optimism, pessimism, cynical hostility, and biomarkers of metabolic function in the Women's Health Initiative.

Authors:  Hilary A Tindle; Meredith S Duncan; Simin Liu; Lewis H Kuller; Nancy Fugate Woods; Steve R Rapp; Candyce H Kroenke; Mace Coday; Eric B Loucks; Michael J Lamonte; Ana M Progovac; Elena Salmoirago-Blotcher; Brian T Walitt; Nai-Chieh Y Yuo; Matthew S Freiberg
Journal:  J Diabetes       Date:  2017-09-29       Impact factor: 4.006

3.  Investigating shared aetiology between type 2 diabetes and major depressive disorder in a population based cohort.

Authors:  Toni-Kim Clarke; Jana Obsteter; Lynsey S Hall; Caroline Hayward; Pippa A Thomson; Blair H Smith; Sandosh Padmanabhan; Lynne J Hocking; Ian J Deary; David J Porteous; Andrew M McIntosh
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2016-08-02       Impact factor: 3.568

Review 4.  The Bidirectional Relationship between Diabetes and Depression: A Literature Review.

Authors:  Abdallah Alzoubi; Rnad Abunaser; Adi Khassawneh; Mahmoud Alfaqih; Aws Khasawneh; Nour Abdo
Journal:  Korean J Fam Med       Date:  2018-05-18

5.  Longitudinal investigation of the reciprocal relationship between depressive symptoms and glycemic control: The moderation effects of sex and perceived support.

Authors:  Ching-Ju Chiu; Ye-Fong Du
Journal:  J Diabetes Investig       Date:  2018-11-30       Impact factor: 4.232

6.  Prevalence of Depressive Symptoms in the Elderly Population Diagnosed with Type 2 Diabetes Mellitus.

Authors:  Beata Dziedzic; Zofia Sienkiewicz; Anna Leńczuk-Gruba; Ewa Kobos; Wiesław Fidecki; Mariusz Wysokiski
Journal:  Int J Environ Res Public Health       Date:  2020-05-19       Impact factor: 3.390

7.  Depression Amplifies the Influence of Central Obesity on 10-Year Incidence of Diabetes: Findings from MIDUS.

Authors:  Vera K Tsenkova; Arun Karlamangla
Journal:  PLoS One       Date:  2016-10-18       Impact factor: 3.240

8.  Nucleus accumbens inflammation mediates anxiodepressive behavior and compulsive sucrose seeking elicited by saturated dietary fat.

Authors:  Léa Décarie-Spain; Sandeep Sharma; Cécile Hryhorczuk; Victor Issa-Garcia; Philip A Barker; Nathalie Arbour; Thierry Alquier; Stephanie Fulton
Journal:  Mol Metab       Date:  2018-01-31       Impact factor: 7.422

9.  Risk of dementia associated with cardiometabolic abnormalities and depressive symptoms: a longitudinal cohort study using the English longitudinal study of ageing.

Authors:  Panagiota Kontari; Kimberley J Smith
Journal:  Int J Geriatr Psychiatry       Date:  2018-11-27       Impact factor: 3.485

10.  Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.

Authors:  Bernd Richter; Bianca Hemmingsen; Maria-Inti Metzendorf; Yemisi Takwoingi
Journal:  Cochrane Database Syst Rev       Date:  2018-10-29
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