The effects of anxiety, substance use and conduct disorders on risk of major depressive disorder

2003 ◽  
Vol 33 (8) ◽  
pp. 1423-1432 ◽  
Author(s):  
J. M. HETTEMA ◽  
C. A. PRESCOTT ◽  
K. S. KENDLER

Background. Major depressive disorder (MDD) is highly co-morbid with other Axis I disorders, which commonly precede its onset. We sought to determine the level and periods of risk for MDD posed by prior or co-occurring psychiatric disorders.Method. Using retrospective data from a longitudinal, population-based sample of 2926 male and 1929 female adult twin subjects, we predicted the hazard rates for MDD from a Cox proportional hazards model with same-year or prior onsets of co-morbid Axis I disorders as time-dependent covariates.Results. All axis I disorders studied (generalized anxiety disorder, panic disorder, phobia, alcohol dependence, psychoactive substance use disorders and conduct disorder) significantly predicted increased risk for developing MDD. The highest hazard rates occurred for MDD onsets that co-occurred with those of the co-morbid disorder. However, the risk for onset of MDD subsequent to that of prior disorders is also significantly increased and remains relatively unchanged over time. Although the risk for onset of MDD is significantly higher in women than men, this was not explained by gender differences in prior disorder prevalence or increased sensitivity in women to the effects of prior disorders on risk for depression.Conclusions. Prior psychiatric disorders are significant risk factors for the development of MDD, independent of the length of the intervening period between the onset of the first disorder and that of MDD.

2001 ◽  
Vol 31 (7) ◽  
pp. 1211-1222 ◽  
Author(s):  
Y. NOMURA ◽  
V. WARNER ◽  
P. WICKRAMARATNE

Background. Concordance for major depressive disorder (MDD) between parents could happen for different reasons. Regardless of the origin and the frequency of the concordance, the effect on offspring of having two parents affected with MDD may be serious. The sex of the affected parent and offspring may also be a important risk factor for MDD in offspring.Methods. We examined the increased risk of psychopathology among offspring of the four parental mating groups: both parents affected with MDD (N = 53); only mother affected (N = 31); only father affected (N = 65); and, neither parents affected (N = 33). Parents and offspring were assessed by direct interview, conducted blind and independently of each other.Results. Among the four parental mating groups, offspring of both parents affected had the highest risk of MDD, anxiety disorder and alcohol dependence, and the earliest age of onset for MDD. There were two exceptions: the highest risk of conduct disorder and of drug dependence was in the groups where only the father was affected and where only the mother was affected, respectively. Mother's MDD was a stronger predictor of MDD in male compared to female offspring. Father's MDD was a stronger predictor of MDD in female compared to male offspring.Conclusion. Having two parents with MDD increases the risk of psychiatric disorders in offspring. A clear dose–response relationship between the number of affected parents and psychiatric disorders in offspring was observed. The sex of the affected parent and of the offspring is important in determining the risk to offspring. For an examination of the risk to psychopathology in offspring, diagnosis status of both parents should be considered.


2010 ◽  
Vol 33 (2-3) ◽  
pp. 166-167 ◽  
Author(s):  
Don Ross

AbstractCramer et al. persuasively conceptualize major depressive disorder (MDD) and generalized anxiety disorder (GAD) as network disorders, rejecting latent variable accounts. But how does their radical picture generalize across the suite of mental and personality disorders? Addictions are Axis I disorders that may be better characterized by latent variables. Their comorbidity relationships could be captured by inserting them as nodes in a super-network of Axis I conditions.


2021 ◽  
Vol 10 (18) ◽  
pp. 4104
Author(s):  
Agata M. Grzegorzewska ◽  
Mariusz S. Wiglusz ◽  
Jerzy Landowski ◽  
Katarzyna Jakuszkowiak-Wojten ◽  
Wiesław J. Cubała ◽  
...  

The co-occurrence of psychiatric disorders in people with epilepsy (PWE) is not well documented or studied. Anxiety and depressive disorders are the most frequent comorbid disorders in PWE. In this paper, we characterized the rates of multiple psychiatric disorder comorbidity by reanalyzing data from a study sample of PWE. A total of 96 outpatient PWE completed the self-report symptom scale, and were diagnosed using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) Axis I disorders (SCID-I). For analyses, patients were assigned to a comprehensive diagnostic group of anxiety and depressive disorders. In order to determine comorbidity across psychiatric diagnoses for the DSM-IV categories, Pearson’s chi-squared test (χ2) was used. In the study sample, eight patients (8.3% of the study sample, n = 96) had comorbid major depressive disorder and anxiety disorder. When looking at comorbidity of each diagnosis separately, it was determined that 50% of individuals with an anxiety disorder had comorbid Major Depressive Disorder (MDD) and 38% patients with MDD had comorbid anxiety disorder. This finding encourages a more systematic reporting of psychiatric prevalence data in epilepsy, especially taking into account the high ratio of multiple comorbid anxiety and depressive disorders in PWE.


2021 ◽  
Vol 12 ◽  
Author(s):  
Pingliang Yang ◽  
Mengchang Yang ◽  
Peng Li ◽  
Dejun Cao ◽  
Daoyin Gong ◽  
...  

Purpose: Previous association studies have investigated whether genetic polymorphisms in HTR1B influenced individuals' susceptibility to major depressive disorder (MDD), anti-depressant response (ADR) and suicidal behavior. However, equivocal evidence was obtained. In this meta-analysis, we aimed to examine the association of HTR1B polymorphisms with risk of MDD, ADR and suicidal behavior.Materials and Methods: Studies evaluating the association between HTR1B polymorphisms and risk of MDD, ADR and suicidal behavior were searched in Pubmed, Ovid Medline, web of science and China National Knowledge Infrastructure databases. Summary odds ratios (ORs), 95 % confidence intervals (CIs) and p-values were calculated using a fixed or random effects model.Results: Meta-analysis findings revealed a significantly increased risk of MDD with rs6296 GC and GC/CC genotypes (GC vs. GG: OR = 1.26, 95% CI, 1.07–1.48; GC/CC vs. GG: OR = 1.22, 95% CI, 1.04–1.43, respectively). Moreover, rs6298 CT genotype was significantly associated with an increased risk of suicidal behavior (CT vs. CC: OR = 1.48, 95% CI, 1.16–1.88). However, both rs6296 and rs130058 were not significant risk factors for lethal suicidal behavior.Conclusion: This meta-analysis identified that rs6296 and rs6298 in HTR1B may be significantly related to the risk of MDD and lethality of suicide attempts, respectively. Further studies are required to assess the markers in larger cohorts.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rona J. Strawbridge ◽  
Keira J. A. Johnston ◽  
Mark E. S. Bailey ◽  
Damiano Baldassarre ◽  
Breda Cullen ◽  
...  

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.


Author(s):  
Andreas Menke

Major depressive disorder (MDD) is a common, serious and in some cases life‐threatening condition and affects approximately 350 million people globally (Otte et al., 2016). The magnitude of the clinical burden reflects the limited effectiveness of current available therapies. The current prescribed antidepressants are based on modulating monoaminergic neurotransmission, i.e. they improve central availability of serotonin, norepinephrine and dopamine. However, they are associated with a high rate of partial or non-response, delayed response onset and limited duration. Actually more than 50% of the patients fail to respond to their first antidepressant they receive. Therefore there is a need of new treatment approaches targeting other systems than the monoaminergic pathway. One of the most robust findings in biological psychiatry is a dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis in major depression (Holsboer, 2000). Many studies observed an increased production of the corticotropin-releasing hormone (CRH) in the hypothalamus, leading to an increased release of adrenocorticotropic hormone (ACTH) from the pituitary and subsequently to an enhanced production of cortisol in the adrenal cortex. Due to an impaired sensitivity of the glucocorticoid receptor (GR) the negative feedback mechanisms usually restoring homeostasis after a stress triggered cortisol release are not functioning properly (Holsboer, 2000, Pariante and Miller, 2001). However, treatment strategies targeting the GR or the CRH receptors have not been successful for a general patient population. Selecting the right patients for these treatment alternatives may improve therapy outcome, since a dysregulation of the HPA axis affects only 40-60 % of the depressed patients. Thus, patients with a dysregulated HPA axis have first to be identified and then allocated to a specific treatment regime. Tests like the dexamethasone-suppression-test (DST) or the dex-CRH test have been shown to uncover GR sensitivity deficits, but are not routinely applied in the clinical setting. Recently, the dexamethasone-induced gene expression could uncover GR alterations in participants suffering from major depression and job-related exhaustion (Menke et al., 2012, Menke et al., 2013, Menke et al., 2014, Menke et al., 2016). Actually, by applying the dexamethasone-stimulation test we found a GR hyposensitivity in depressed patients (Menke et al., 2012) and a GR hypersensitivity in subjects with job-related exhaustion (Menke et al., 2014). These alterations normalized after clinical recovery (Menke et al., 2014). Interestingly, the dexamethasone-stimulation test also uncovered FKBP5 genotype dependent alterations in FKBP5 mRNA expression in depressed patients and healthy controls (Menke et al., 2013). FKBP5 is a co-chaperone which modulates the sensitivity of the GR (Binder, 2009). In addition, the dexamethasone-stimulation test provided evidence of common genetic variants that modulate the immediate transcriptional response to GR activation in peripheral human blood cells and increase the risk for depression and co-heritable psychiatric disorders (Arloth et al., 2015). In conclusion, the molecular dexamethasone-stimulation test may thus help to characterize subgroups of subjects suffering from stress-related conditions and in the long-run may be helpful to guide treatment regime as well as prevention strategies.   References: Arloth J, Bogdan R, Weber P, Frishman G, Menke A, Wagner KV, Balsevich G, Schmidt MV, Karbalai N, Czamara D, Altmann A, Trumbach D, Wurst W, Mehta D, Uhr M, Klengel T, Erhardt A, Carey CE, Conley ED, Major Depressive Disorder Working Group of the Psychiatric Genomics C, Ruepp A, Muller-Myhsok B, Hariri AR, Binder EB, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium PGC (2015) Genetic Differences in the Immediate Transcriptome Response to Stress Predict Risk-Related Brain Function and Psychiatric Disorders. Neuron 86:1189-1202. Binder EB (2009) The role of FKBP5, a co-chaperone of the glucocorticoid receptor in the pathogenesis and therapy of affective and anxiety disorders. Psychoneuroendocrinology 34 Suppl 1:S186-195. Holsboer F (2000) The corticosteroid receptor hypothesis of depression. Neuropsychopharmacology 23:477-501. Menke A, Arloth J, Best J, Namendorf C, Gerlach T, Czamara D, Lucae S, Dunlop BW, Crowe TM, Garlow SJ, Nemeroff CB, Ritchie JC, Craighead WE, Mayberg HS, Rex-Haffner M, Binder EB, Uhr M (2016) Time-dependent effects of dexamethasone plasma concentrations on glucocorticoid receptor challenge tests. Psychoneuroendocrinology 69:161-171. Menke A, Arloth J, Gerber M, Rex-Haffner M, Uhr M, Holsboer F, Binder EB, Holsboer-Trachsler E, Beck J (2014) Dexamethasone stimulated gene expression in peripheral blood indicates glucocorticoid-receptor hypersensitivity in job-related exhaustion. Psychoneuroendocrinology 44:35-46. Menke A, Arloth J, Putz B, Weber P, Klengel T, Mehta D, Gonik M, Rex-Haffner M, Rubel J, Uhr M, Lucae S, Deussing JM, Muller-Myhsok B, Holsboer F, Binder EB (2012) Dexamethasone Stimulated Gene Expression in Peripheral Blood is a Sensitive Marker for Glucocorticoid Receptor Resistance in Depressed Patients. Neuropsychopharmacology 37:1455-1464. Menke A, Klengel T, Rubel J, Bruckl T, Pfister H, Lucae S, Uhr M, Holsboer F, Binder EB (2013) Genetic variation in FKBP5 associated with the extent of stress hormone dysregulation in major depression. Genes Brain Behav  12:289-296. Otte C, Gold SM, Penninx BW, Pariante CM, Etkin A, Fava M, Mohr DC, Schatzberg AF (2016) Major depressive disorder. Nature reviews Disease primers 2:16065. Pariante CM, Miller AH (2001) Glucocorticoid receptors in major depression: relevance to pathophysiology and treatment. Biological psychiatry 49:391-404.


10.2196/16180 ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. e16180
Author(s):  
Mia Tova Minen ◽  
Julia Frederica Reichel ◽  
Pallavi Pemmireddy ◽  
Elizabeth Loder ◽  
John Torous

Background The development of mobile health (mHealth) technologies is progressing at a faster pace than that of the science to evaluate their validity and efficacy. Under the International Committee of Journal Medical Editors (ICMJE) guidelines, clinical trials that prospectively assign people to interventions should be registered with a database before the initiation of the study. Objective The aim of this study was to better understand the smartphone mHealth trials for high-burden neuropsychiatric conditions registered on ClinicalTrials.gov through November 2018, including the number, types, and characteristics of the studies being conducted; the frequency and timing of any outcome changes; and the reporting of results. Methods We conducted a systematic search of ClinicalTrials.gov for the top 10 most disabling neuropsychiatric conditions and prespecified terms related to mHealth. According to the 2016 World Health Organization Global Burden of Disease Study, the top 10 most disabling neuropsychiatric conditions are (1) stroke, (2) migraine, (3) major depressive disorder, (4) Alzheimer disease and other dementias, (5) anxiety disorders, (6) alcohol use disorders, (7) opioid use disorders, (8) epilepsy, (9) schizophrenia, and (10) other mental and substance use disorders. There were no date, location, or status restrictions. Results Our search identified 135 studies. A total of 28.9% (39/135) of studies evaluated interventions for major depressive disorder, 14.1% (19/135) of studies evaluated interventions for alcohol use disorders, 12.6% (17/135) of studies evaluated interventions for stroke, 11.1% (15/135) of studies evaluated interventions for schizophrenia, 8.1% (11/135) of studies evaluated interventions for anxiety disorders, 8.1% (11/135) of studies evaluated interventions for other mental and substance use disorders, 7.4% (10/135) of studies evaluated interventions for opioid use disorders, 3.7% (5/135) of studies evaluated interventions for Alzheimer disease or other dementias, 3.0% (4/135) of studies evaluated interventions for epilepsy, and 3.0% (4/135) of studies evaluated interventions for migraine. The studies were first registered in 2008; more than half of the studies were registered from 2016 to 2018. A total of 18.5% (25/135) of trials had results reported in some publicly accessible location. Across all the studies, the mean estimated enrollment (reported by the study) was 1078, although the median was only 100. In addition, across all the studies, the actual reported enrollment was lower, with a mean of 249 and a median of 80. Only about a quarter of the studies (35/135, 25.9%) were funded by the National Institutes of Health. Conclusions Despite the increasing use of health-based technologies, this analysis of ClinicalTrials.gov suggests that only a few apps for high-burden neuropsychiatric conditions are being clinically evaluated in trials.


2011 ◽  
Vol 26 (S2) ◽  
pp. 333-333
Author(s):  
M.L. Perereira ◽  
D.L. Nunes Peçanha ◽  
I.A. Santos Bordin

IntroductionPsychiatric disorders occur in a complex context of human relations in its social and psychological aspects. Family functioning is closely related to physical and psychological well-being of family members and its impairment affects the family as a whole.ObjectivesTo evaluate family functioning in two groups of adolescents (13–18 years): cases (with major depressive disorder) and controls (with no DSM-IV psychiatric disorders based on the Brazilian version of the Schedule for Affective Disorders and Schizophrenia for School Age Children-Present and Lifetime/K-SADS-PL).MethodFamilies of cases (N = 9) and controls (N = 9) were matched by adolescent's age, gender and education, number and age of siblings, parental marital status and occupational activity, and family income. An experienced systemic family therapist applied the Structured Family Interview to each family. Nine dimensions of family functioning were evaluated: communication, rules, roles, leadership, conflict, aggressiveness, affect, individuation and integration. Session transcripts were independently evaluated by two other systemic family therapists blind to the family case-control category.ResultsRaters scored all interview items using a standardized coding system (overall agreement = 83.5%). Cases exhibited lower mean scores in seven family dimensions, specially affect (p = 0.0078). Differences were not found regarding rules and leadership.ConclusionDifficulty in expressing affect in parent-child relationships was the main characteristic of families with a depressive adolescent. Improvement of family functioning can contribute to minimize the negative influence of psychosocial and family factors on the reoccurrence, and severity of depressive episodes among depressed adolescents.


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