Vascular Disease and Trajectories of Late-life Major Depressive Disorder in Secondary Psychiatric Care

2017 ◽  
Vol 41 (S1) ◽  
pp. s242-s242
Author(s):  
K. Musliner ◽  
T. Laursen ◽  
T. Munk-Olsen ◽  
X. Liu ◽  
P. Mortensen ◽  
...  

ObjectivesTo examine 5 years trajectories of secondary-treated late-life major depressive disorder (MDD), and evaluate whether pre-existing cerebrovascular disease and related risk factors are associated with more severe trajectories of late-life MDD.MethodsData were obtained from Danish registers. The sample included 11,184 adults ≥ 60 at index MDD diagnosis. Trajectories of in or outpatient contact at psychiatric hospitals for MDD over the 5 years period following index MDD diagnosis were modeled using latent class growth analysis. Risk factors included cerebrovascular disease, cardiovascular disease, hypertension, diabetes, and vascular dementia defined based on hospital diagnoses and prescription medications, demographic characteristics and characteristics of the index MDD diagnosis.ResultsThe final model included classes with consistently low (66%), high decreasing (19%), consistently high (9%) and moderate fluctuating (6%) probabilities of contact at a psychiatric hospital for MDD during the 5 year period following the index MDD diagnosis (Fig. 1). Older age, greater severity, inpatient treatment and > 12 antidepressant prescriptions within 5 years of the index MDD diagnosis predicted membership in more severe trajectory classes. Cerebrovascular disease and related risk factors were not associated with trajectory class membership.ConclusionsA substantial proportion (34%) of individuals diagnosed with MDD in late-life require specialized psychiatric treatment for extended periods of time. We found no evidence that cerebrovascular disease or related risk factors predicted course trajectories in secondary-treated late-life MDD.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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 ◽  
...  

2017 ◽  
Vol 13 (7S_Part_28) ◽  
pp. P1332-P1333
Author(s):  
Davide Bruno ◽  
Jay Nierenberg ◽  
Michel J. Grothe ◽  
Domenico Pratico ◽  
Anilkumar Pillai ◽  
...  

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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