scholarly journals “Nudges” to Prevent Behavioral Risk Factors Associated With Major Depressive Disorder

2015 ◽  
Vol 105 (11) ◽  
pp. 2318-2321 ◽  
Author(s):  
Ashleigh Woodend ◽  
Vera Schölmerich ◽  
Semiha Denktaş
2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Mohammad Gamal Sehlo ◽  
Usama Mahmoud Youssef ◽  
Hayam Mohammed El-Gohari

Abstract Background Suicidal ideations were reported in many studies among patient with obsessive-compulsive disorder (OCD); this study aimed to evaluate the prevalence and factors associated with current suicidal ideations among Egyptian patients with obsessive-compulsive disorder (OCD). A consecutive sample of 120 Egyptian OCD patients was included in the study. OCD was diagnosed using the structured clinical interview for DSM-V axis Ι disorders, clinical version (SCID-I-CV). Yale-Brown Obsessive Compulsive Scale (Y-BOCS) was also applied to the patients. Presence of current suicidal ideations was assessed using Scale for Suicidal Ideation (SSI). Results Twenty eight (23.3%) of the OCD patients reported presence of current suicidal ideations, religious obsessions OR = 3.53, P = 0.009, and presence of comorbid major depressive disorder OR = 1.77, P = 0.04. Conclusion Religious obsessions and comorbid major depressive disorder were found to be significant predictors for the current suicidal ideations in patients with OCD; however, religious obsessions were the strongest predictor. Religious obsessions should be evaluated and treated to decrease the risk of suicidal thoughts in Egyptian OCD patients.


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.


Author(s):  
Susana Sousa ◽  
Constança Paúl ◽  
Laetitia Teixeira

Major depressive disorder (MDD) is one of the most common mental disorders in older people. There are several biological, psychological, and social factors associated with this disorder. This study aimed to describe the depressive state to identify the associated factors and potential predictors of MDD in a population of community-dwelling older people with probable MDD. The sample consisted of 378 participants with probable dementia, with 47.3% of them presenting MDD. The factors that were found to be associated with MDD were sex, living status, mobility, and nutritional status. Knowing the factors that can predict a condition such as MDD is extremely important, both for prevention and for the customization of interventions.


2018 ◽  
Vol 240 ◽  
pp. 48-56 ◽  
Author(s):  
Nágila Soares Xavier Oenning ◽  
Patrícia Klarmann Ziegelmann ◽  
Bárbara Niegia Garcia de Goulart ◽  
Isabelle Niedhammer

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