scholarly journals Disruptive mood dysregulation disorder in offspring of parents with depression and bipolar disorder

2017 ◽  
Vol 210 (6) ◽  
pp. 408-412 ◽  
Author(s):  
Lukas Propper ◽  
Jill Cumby ◽  
Victoria C. Patterson ◽  
Vladislav Drobinin ◽  
Jacqueline M. Glover ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Family History ◽  
Depressive Disorder ◽  
Control Group ◽  
Major Depressive ◽  
Disruptive Mood Dysregulation Disorder ◽  
Increased Risk ◽  
History Of ◽  
Mood Dysregulation

BackgroundIt has been suggested that offspring of parents with bipolar disorder are at increased risk for disruptive mood dysregulation disorder (DMDD), but the specificity of this association has not been established.AimsWe examined the specificity of DMDD to family history by comparing offspring of parents with (a) bipolar disorder, (b) major depressive disorder and (c) a control group with no mood disorders.MethodWe established lifetime diagnosis of DMDD using the Schedule for Affective Disorders and Schizophrenia for School Aged Children for DSM-5 in 180 youth aged 6–18 years, including 58 offspring of parents with bipolar disorder, 82 offspring of parents with major depressive disorder and 40 control offspring.ResultsDiagnostic criteria for DMDD were met in none of the offspring of parents with bipolar disorder, 6 of the offspring of parents with major depressive disorder and none of the control offspring. DMDD diagnosis was significantly associated with family history of major depressive disorder.ConclusionsOur results suggest that DMDD is not specifically associated with a family history of bipolar disorder and may be associated with parental depression.

scholarly journals Joint Effect of Childhood Abuse and Family History of Major Depressive Disorder on Rates of PTSD in People with Personality Disorders

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Janine D. Flory ◽  
Rachel Yehuda ◽  
Vincent Passarelli ◽  
Larry J. Siever
Keyword(s):  
Major Depressive Disorder ◽  
Family History ◽  
Depressive Disorder ◽  
Childhood Abuse ◽  
Childhood Maltreatment ◽  
Reference Group ◽  
Joint Effect ◽  
Major Depressive ◽  
Increased Risk ◽  
History Of

Objective. Childhood maltreatment and familial psychopathology both lead to an increased risk of the development of posttraumatic stress disorder (PTSD) in adulthood. While family history of psychopathology has traditionally been viewed as a proxy for genetic predisposition, such pathology can also contribute to a stress-laden environment for the child.Method. Analyses were conducted to evaluate the joint effect of childhood abuse and a family history of major depressive disorder (MDD) on diagnoses of PTSD and MDD in a sample of 225 adults with DSM-IV Axis II disorders.Results.Results showed that the rate of PTSD in the presence of both childhood abuse and MDD family history was almost six-fold (OR=5.89,  P=.001) higher relative to the absence of both factors. In contrast, the rate of MDD in the presence of both factors was associated with a nearly three-fold risk relative to the reference group (OR=2.75,  P=.01).Conclusions. The results from this observational study contribute to a growing understanding of predisposing factors for the development of PTSD and suggest that joint effects of family history of MDD and childhood abuse on PTSD are greater than either factor alone.

scholarly journals The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rona J. Strawbridge ◽  
Keira J. A. Johnston ◽  
Mark E. S. Bailey ◽  
Damiano Baldassarre ◽  
Breda Cullen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
European Ancestry ◽  
Cardiometabolic Disease ◽  
Metabolic Profiles ◽  
Genome Wide Association Studies ◽  
Uk Biobank ◽  
Major Depressive ◽  
Increased Risk

AbstractUnderstanding why individuals with severe mental illness (Schizophrenia, Bipolar Disorder and Major Depressive Disorder) have increased risk of cardiometabolic disease (including obesity, type 2 diabetes and cardiovascular disease), and identifying those at highest risk of cardiometabolic disease are important priority areas for researchers. For individuals with European ancestry we explored whether genetic variation could identify sub-groups with different metabolic profiles. Loci associated with schizophrenia, bipolar disorder and major depressive disorder from previous genome-wide association studies and loci that were also implicated in cardiometabolic processes and diseases were selected. In the IMPROVE study (a high cardiovascular risk sample) and UK Biobank (general population sample) multidimensional scaling was applied to genetic variants implicated in both psychiatric and cardiometabolic disorders. Visual inspection of the resulting plots used to identify distinct clusters. Differences between these clusters were assessed using chi-squared and Kruskall-Wallis tests. In IMPROVE, genetic loci associated with both schizophrenia and cardiometabolic disease (but not bipolar disorder or major depressive disorder) identified three groups of individuals with distinct metabolic profiles. This grouping was replicated within UK Biobank, with somewhat less distinction between metabolic profiles. This work focused on individuals of European ancestry and is unlikely to apply to more genetically diverse populations. Overall, this study provides proof of concept that common biology underlying mental and physical illness may help to stratify subsets of individuals with different cardiometabolic profiles.

scholarly journals Employment and earnings trajectories before and after sickness absence due to major depressive disorder: a nationwide case–control study

2020 ◽  
pp. oemed-2020-106660
Author(s):  
Christian Hakulinen ◽  
Petri Böckerman ◽  
Laura Pulkki-Råback ◽  
Marianna Virtanen ◽  
Marko Elovainio
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Sickness Absence ◽  
Lower Probability ◽  
Control Group ◽  
Major Depressive ◽  
Earnings Losses ◽  
Before And After ◽  
History Of ◽  
And Gender

ObjectivesTo examine employment and earnings trajectories before and after the first sickness absence period due to major depressive disorder (MDD).MethodsAll individuals (n=158 813) in Finland who had a first sickness absence period (lasting longer than 9 days) due to MDD between 2005 and 2015 were matched with one randomly selected individual of the same age and gender with no history of MDD. Employment status and earnings were measured using register-based data annually from 2005 to 2015. Generalised estimating equations were used to examine the trajectories of employment and earnings before and after MDD diagnosis in men and women separately.ResultsSickness absence due to MDD was associated with increased probability of non-employment during and after the year of the first sickness absence period. In men, but not in women, the probability of being employed was lower 5 years before the sickness absence period due to MDD. When compared with the individuals in the control group, men had around 34% and women 15% lower earnings 1 year, and 40% and 23%, respectively, 5 years, after the first sickness absence period due to MDD. More severe MDD and longer duration of sickness absence period were associated with lower probability of being employed.ConclusionsSickness absence due to MDD was associated with considerable reduction in employment and earnings losses. For men and individuals with more severe MDD, this reduction was before the first sickness period. This supports a reciprocal association between employment and earnings with MDD.

scholarly journals Family history of mood disorder and characteristics of major depressive disorder: A STAR∗D (sequenced treatment alternatives to relieve depression) study

2007 ◽  
Vol 41 (3-4) ◽  
pp. 214-221 ◽  
Author(s):  
Andrew A. Nierenberg ◽  
Madhukar H. Trivedi ◽  
Maurizio Fava ◽  
Melanie M. Biggs ◽  
Kathy Shores-Wilson ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Family History ◽  
Depressive Disorder ◽  
Mood Disorder ◽  
Major Depressive ◽  
History Of ◽  
Treatment Alternatives

scholarly journals The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals

2020 ◽  
Author(s):  
Rona J. Strawbridge ◽  
Keira J. A. Johnston ◽  
Mark E. S. Bailey ◽  
Damiano Baldasarre ◽  
Breda Cullen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Depressive Disorders ◽  
Cardiometabolic Disease ◽  
Metabolic Profiles ◽  
Uk Biobank ◽  
Major Depressive ◽  
Increased Risk ◽  
Chi Squared

AbstractUnderstanding why individuals with severe mental illness (Schizophrenia, Bipolar Disorder and Major Depressive Disorder) have increased risk of cardiometabolic disease (including obesity, type 2 diabetes and cardiovascular disease), and identifying those at highest risk of cardiometabolic disease are important priority areas for researcher. We explored whether genetic variation could identify individuals with different metabolic profiles. Loci previously associated with schizophrenia, bipolar disorder and major depressive disorder were identified from literature and those overlapping loci genotyped on the Illumina CardioMetabo and Immuno chips (representing cardiometabolic processes and diseases) were selected. In the IMPROVE study (high cardiovascular risk) and UK Biobank (general population) multidimensional scaling was applied to genetic variants implicated in both mental and cardiometabolic illness. Visual inspection of the resulting plots used to identify distinct clusters. Differences between clusters were assessed using chi-squared and Kruskall-Wallis tests. In IMPROVE, genetic loci associated with both cardiometabolic disease and schizophrenia (but not bipolar or major depressive disorders) identified three groups of individuals with distinct metabolic profiles. The grouping was replicated in UK Biobank, albeit with less distinction between metabolic profiles. This study provides proof of concept that common biology underlying mental and physical illness can identify subsets of individuals with different cardiometabolic profiles.

Family history of psychiatric disorders and the outcome of psychiatric patients with DSM-IV major depressive disorder

2011 ◽  
Vol 131 (1-3) ◽  
pp. 251-259 ◽  
Author(s):  
K. Mikael Holma ◽  
Tarja K. Melartin ◽  
Irina A.K. Holma ◽  
Tiina Paunio ◽  
Erkki T. Isometsä
Keyword(s):  
Major Depressive Disorder ◽  
Family History ◽  
Depressive Disorder ◽  
Psychiatric Disorders ◽  
Psychiatric Patients ◽  
Major Depressive ◽  
History Of ◽  
Dsm Iv
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