scholarly journals Classical Risk Factors and Inflammatory Biomarkers: One of the Missing Biological Links between Cardiovascular Disease and Major Depressive Disorder

2018 ◽  
Vol 19 (6) ◽  
pp. 1740 ◽  
Author(s):  
Thomas Baghai ◽  
Gabriella Varallo-Bedarida ◽  
Christoph Born ◽  
Sibylle Häfner ◽  
Cornelius Schüle ◽  
...  
2014 ◽  
Vol 76 (2) ◽  
pp. 122-127 ◽  
Author(s):  
Jonathan Rottenberg ◽  
Ilya Yaroslavsky ◽  
Robert M. Carney ◽  
Kenneth E. Freedland ◽  
Charles J. George ◽  
...  

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.


2020 ◽  
Vol Volume 13 ◽  
pp. 1147-1157
Author(s):  
Angélica Gonçalves Peter ◽  
Mariane Lopez Molina ◽  
Taiane de Azevedo Cardoso ◽  
Thaíse Campos Mondin ◽  
Ricardo Azevedo da Silva ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e029705 ◽  
Author(s):  
Hikaru Hori ◽  
Asuka Katsuki ◽  
Kiyokazu Atake ◽  
Reiji Yoshimura ◽  
Jun Nakamura ◽  
...  

ObjectivesWe aimed to investigate the risk factors for further sick leave episodes among Japanese workers returning to work after time off with a major depressive disorder.DesignA prospective study with 1 year of follow-up.ParticipantsWe recruited 103 workers who had returned to work after taking sick leave with a major depressive disorder. Adjusted HRs with 95% CIs were calculated using Cox proportional hazard models to examine the risk of further sick leave.ResultsIn the adjusted analysis, we show that Social Adaptation Self-evaluation Scale scores (HR 0.95; p=0.019), 3-back correct response rate (N-back test) (HR 0.97; p<0.001) and benzodiazepine dosage (diazepam equivalent) (HR1.07; p=0.014) were associated with further episodes of sick leave.ConclusionsPoorer social and cognitive functioning, together with higher diazepam dosages, were associated with an increased likelihood of additional sick leave.


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