scholarly journals Cardiovascular Risk Factors as Differential Predictors of Incident Atypical and Typical Major Depressive Disorder in US Adults

2018 ◽  
Vol 80 (6) ◽  
pp. 508-514 ◽  
Author(s):  
Jay S. Patel ◽  
Jessica Berntson ◽  
Brittanny M. Polanka ◽  
Jesse C. Stewart
2006 ◽  
Vol 188 (2) ◽  
pp. 180-185 ◽  
Author(s):  
Dan V. Iosifescu ◽  
Perry F. Renshaw ◽  
In Kyoon Lyoo ◽  
Ho Kyu Lee ◽  
Roy H. Perlis ◽  
...  

BackgroundAn increased incidence of brain white-matter hyperintensities has been described in major depressive disorder, but the impact of such hyperintensities on treatment outcome is still controversial.AimsTo investigate the relationship of brain white-matter hyperintensities with cardiovascular risk factors and with treatment outcome in younger people with major depressive disorder.MethodWe assessed brain white-matter hyperintensities and cardiovascular risk factors in 84 people with major depressive disorder prior to initiating antidepressanttreatment. We also assessed hyperintensities in 35 matched controls.ResultsWe found no significant difference in the prevalence of white-matter hyperintensities between the depression and the control groups. Left-hemisphere subcortical hyperintensities correlated with lower rates of treatment response. We found no correlation between global hyperintensity measures and clinical outcome. Brain white-matter hyperintensities correlated with hypertension and age and with total cardiovascular risk score.ConclusionsSubcortical white-matter hyperintensities in the left hemisphere (but not in other brain areas) may be associated with poor response to antidepressant treatment in major depression.


2005 ◽  
Vol 67 (5) ◽  
pp. 703-706 ◽  
Author(s):  
Dan V. Iosifescu ◽  
Nicoletta Clementi-Craven ◽  
Renerio Fraguas ◽  
George I. Papakostas ◽  
Timothy Petersen ◽  
...  

2007 ◽  
Vol 37 (1) ◽  
pp. 99-111 ◽  
Author(s):  
Renerio Fraguas ◽  
Dan V. Iosifescu ◽  
Bettina Bankier ◽  
Roy Perlis ◽  
Nicoletta Clementi-Craven ◽  
...  

2010 ◽  
Vol 72 (09) ◽  
pp. 1242-1247 ◽  
Author(s):  
Thomas C. Baghai ◽  
Gabriella Varallo-Bedarida ◽  
Christoph Born ◽  
Sibylle Häfner ◽  
Cornelius Schüle ◽  
...  

2019 ◽  
Vol 245 ◽  
pp. 140-144 ◽  
Author(s):  
Markus Donix ◽  
Robert Haussmann ◽  
Franziska Helling ◽  
Anne Zweiniger ◽  
Annett Werner ◽  
...  

2016 ◽  
Vol 19 (6) ◽  
pp. 619-627 ◽  
Author(s):  
Lisa Mather ◽  
Victoria Blom ◽  
Gunnar Bergström ◽  
Pia Svedberg

Depression and anxiety are highly comorbid due to shared genetic risk factors, but less is known about whether burnout shares these risk factors. We aimed to examine whether the covariation between major depressive disorder (MDD), generalized anxiety disorder (GAD), and burnout is explained by common genetic and/or environmental factors. This cross-sectional study included 25,378 Swedish twins responding to a survey in 2005–2006. Structural equation models were used to analyze whether the trait variances and covariances were due to additive genetics, non-additive genetics, shared environment, and unique environment. Univariate analyses tested sex limitation models and multivariate analysis tested Cholesky, independent pathway, and common pathway models. The phenotypic correlations were 0.71 (0.69–0.74) between MDD and GAD, 0.58 (0.56–0.60) between MDD and burnout, and 0.53 (0.50–0.56) between GAD and burnout. Heritabilities were 45% for MDD, 49% for GAD, and 38% for burnout; no statistically significant sex differences were found. A common pathway model was chosen as the final model. The common factor was influenced by genetics (58%) and unique environment (42%), and explained 77% of the variation in MDD, 69% in GAD, and 44% in burnout. GAD and burnout had additive genetic factors unique to the phenotypes (11% each), while MDD did not. Unique environment explained 23% of the variability in MDD, 20% in GAD, and 45% in burnout. In conclusion, the covariation was explained by an underlying common factor, largely influenced by genetics. Burnout was to a large degree influenced by unique environmental factors not shared with MDD and GAD.


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