scholarly journals A Self-inflicted Hot Oil Burn in a Male With a Major Psychiatric Disorder: A Case Report

2019 ◽  
Vol 4 (4) ◽  
pp. 139-141
Author(s):  
Zahra Ismaili Shahroudi Moqaddam ◽  
Mohsen Saberi Isfeedvajani
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Major Depressive Disorder ◽  
Burn Patients ◽  
Major Depressive ◽  
Marital Problems ◽  
Case Presentation ◽  
Suicide Methods ◽  
Schizotypal Personality ◽  
Major Psychiatric Disorder

Introduction: Suicide is a major challenge to public health worldwide, and self-inflicted burn is one of the most violent suicide methods. Case Presentation: In this case, a self-inflicted hot oil burn in a male with schizotypal personality and major depressive disorder is reported. Conclusion: Psychiatric disorders, marital problems, and economic poverty are mentioned as risk factors for self-inflicted burn. Thus, these risk factors should be considered in the management of self-inflicted burn patients.

scholarly journals Clinical laboratory tests and five-year incidence of major depressive disorder: a prospective cohort study of 433,890 participants from the UK Biobank

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael Wainberg ◽  
Stefan Kloiber ◽  
Breno Diniz ◽  
Roger S. McIntyre ◽  
Daniel Felsky ◽  
...  
Keyword(s):  
Public Health ◽  
Major Depressive Disorder ◽  
Cohort Study ◽  
Confidence Interval ◽  
Depressive Disorder ◽  
Blood Cell ◽  
Biological Processes ◽  
Uk Biobank ◽  
Major Depressive ◽  
The Uk

AbstractPrevention of major depressive disorder (MDD) is a public health priority. Identifying biomarkers of underlying biological processes that contribute to MDD onset may help address this public health need. This prospective cohort study encompassed 383,131 white British participants from the UK Biobank with no prior history of MDD, with replication in 50,759 participants of other ancestries. Leveraging linked inpatient and primary care records, we computed adjusted odds ratios for 5-year MDD incidence among individuals with values below or above the 95% confidence interval (<2.5th or >97.5th percentile) on each of 57 laboratory measures. Sensitivity analyses were performed across multiple percentile thresholds and in comparison to established reference ranges. We found that indicators of liver dysfunction were associated with increased 5-year MDD incidence (even after correction for alcohol use and body mass index): elevated alanine aminotransferase (AOR = 1.35, 95% confidence interval [1.16, 1.58]), aspartate aminotransferase (AOR = 1.39 [1.19, 1.62]), and gamma glutamyltransferase (AOR = 1.52 [1.31, 1.76]) as well as low albumin (AOR = 1.28 [1.09, 1.50]). Similar observations were made with respect to endocrine dysregulation, specifically low insulin-like growth factor 1 (AOR = 1.34 [1.16, 1.55]), low testosterone among males (AOR = 1.60 [1.27, 2.00]), and elevated glycated hemoglobin (HbA1C; AOR = 1.23 [1.05, 1.43]). Markers of renal impairment (i.e. elevated cystatin C, phosphate, and urea) and indicators of anemia and macrocytosis (i.e. red blood cell enlargement) were also associated with MDD incidence. While some immune markers, like elevated white blood cell and neutrophil count, were associated with MDD (AOR = 1.23 [1.07, 1.42]), others, like elevated C-reactive protein, were not (AOR = 1.04 [0.89, 1.22]). The 30 significant associations validated as a group in the multi-ancestry replication cohort (Wilcoxon p = 0.0005), with a median AOR of 1.235. Importantly, all 30 significant associations with extreme laboratory test results were directionally consistent with an increased MDD risk. In sum, markers of liver and kidney dysfunction, growth hormone and testosterone deficiency, innate immunity, anemia, macrocytosis, and insulin resistance were associated with MDD incidence in a large community-based cohort. Our results support a contributory role of diverse biological processes to MDD onset.

Risk factors for dementia are not associated with cognitive dysfunction in young people with major depressive disorder

2019 ◽  
Vol 245 ◽  
pp. 140-144 ◽  
Author(s):  
Markus Donix ◽  
Robert Haussmann ◽  
Franziska Helling ◽  
Anne Zweiniger ◽  
Annett Werner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Major Depressive Disorder ◽  
Young People ◽  
Depressive Disorder ◽  
Cognitive Dysfunction ◽  
Major Depressive

scholarly journals An Underlying Common Factor, Influenced by Genetics and Unique Environment, Explains the Covariation Between Major Depressive Disorder, Generalized Anxiety Disorder, and Burnout: A Swedish Twin Study

2016 ◽  
Vol 19 (6) ◽  
pp. 619-627 ◽  
Author(s):  
Lisa Mather ◽  
Victoria Blom ◽  
Gunnar Bergström ◽  
Pia Svedberg
Keyword(s):  
Risk Factors ◽  
Major Depressive Disorder ◽  
Anxiety Disorder ◽  
Environmental Factors ◽  
Depressive Disorder ◽  
Generalized Anxiety Disorder ◽  
Common Factor ◽  
Generalized Anxiety ◽  
Major Depressive ◽  
Common Pathway

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.

scholarly journals Incidence and Risk Factors for Suicide Attempts in Patients Diagnosed with Major Depressive Disorder

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 ◽  
...  
Keyword(s):  
Risk Factors ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Suicide Attempts ◽  
Major Depressive ◽  
Risk Factors For Suicide

scholarly journals Risk factors for further sick leave among Japanese workers returning to work after an episode of major depressive disorder: a prospective follow-up study over 1 year

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e029705 ◽  
Author(s):  
Hikaru Hori ◽  
Asuka Katsuki ◽  
Kiyokazu Atake ◽  
Reiji Yoshimura ◽  
Jun Nakamura ◽  
...  
Keyword(s):  
Risk Factors ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Sick Leave ◽  
Social Adaptation ◽  
Major Depressive ◽  
Japanese Workers ◽  
Scale Scores ◽  
Returning To Work

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.

scholarly journals Genetic risk for major depressive disorder and loneliness in sex-specific associations with coronary artery disease

2019 ◽  
Author(s):  
Jessica Dennis ◽  
Julia Sealock ◽  
Rebecca T. Levinson ◽  
Eric Farber-Eger ◽  
Jacob Franco ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Major Depressive Disorder ◽  
Coronary Artery ◽  
Genetic Risk ◽  
European Ancestry ◽  
Major Depressive ◽  
Polygenic Score ◽  
Polygenic Scores ◽  
Artery Disease

AbstractMajor depressive disorder (MDD) and loneliness are phenotypically and genetically correlated with coronary artery disease (CAD), but whether these associations are explained by pleiotropic genetic variants or shared comorbidities is unclear. To tease apart these scenarios, we first assessed the medical morbidity pattern associated with genetic risk factors for MDD and loneliness by conducting a phenome-wide association study in 18,385 European-ancestry individuals in the Vanderbilt University Medical Center biobank, BioVU. Polygenic scores for MDD and loneliness were developed for each person using previously published meta-GWAS summary statistics, and were tested for association with 882 clinical diagnoses ascertained via billing codes in electronic health records. We discovered strong associations with heart disease diagnoses, and next embarked on targeted analyses of CAD in 3893 cases and 4197 controls. We found odds ratios of 1.11 (95% CI, 1.04–1.18; P 8.43 × 10−4) and 1.13 (95% CI, 1.07–1.20; P 4.51 × 10−6) per 1-SD increase in the polygenic scores for MDD and loneliness, respectively. Results were similar in patients without psychiatric symptoms, and the increased risk persisted in females even after adjusting for multiple conventional risk factors and a polygenic score for CAD. In a final sensitivity analysis, we statistically adjusted for the genetic correlation between MDD and loneliness and re-computed polygenic scores. The polygenic score unique to loneliness remained associated with CAD (OR 1.09, 95% CI 1.03–1.15; P 0.002), while the polygenic score unique to MDD did not (OR 1.00, 95% CI 0.95–1.06; P 0.97). Our replication sample was the Atherosclerosis Risk in Communities (ARIC) cohort of 7197 European-ancestry participants (1598 incident CAD cases). In ARIC, polygenic scores for MDD and loneliness were associated with hazard ratios of 1.07 (95% CI, 0.99–1.14; P = 0.07) and 1.07 (1.01–1.15; P = 0.03), respectively, and we replicated findings from the BioVU sensitivity analyses. We conclude that genetic risk factors for MDD and loneliness act pleiotropically to increase CAD risk in females.

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