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Journal of Personality Assessment 2015The context-free diagnoses outlined by the Diagnostic and Statistical Manual of Mental Disorders might not provide enough information to represent the heterogeneity... (Comparative Study)
Comparative Study
The context-free diagnoses outlined by the Diagnostic and Statistical Manual of Mental Disorders might not provide enough information to represent the heterogeneity observed in depressed patients. Interpersonal factors have been linked to depression in a mutually influencing pathoplastic relationship where certain problems, like submissiveness, are related to symptom chronicity. This study evaluated interpersonal pathoplasticity in a range of depressive presentations. We examined archival data collected from 407 participants who met criteria for major depressive disorder (MDD), dysthymic disorder (DD), or subthreshold depression (sD). Latent profile analysis (LPA) identified 5 interpersonal subtypes (vindictive, intrusive, socially avoidant, exploitable, and cold). Apart from gender, the subtypes did not differ significantly on demographic characteristics, psychiatric comorbidity, or self-report depression severity. Socially avoidant participants were more likely to meet criteria for a clinical depression diagnosis (MDD or DD), whereas vindictive participants were more likely to have sD. Our results indicate that interpersonal problems could account for heterogeneity observed in depression.
Topics: Adult; Aged; Comorbidity; Depression; Depressive Disorder, Major; Dysthymic Disorder; Female; Humans; Interpersonal Relations; Male; Middle Aged; New York City; Psychiatric Status Rating Scales; Psychometrics; Psychotherapy; Sex Distribution; Social Behavior; Young Adult
PubMed: 25803309
DOI: 10.1080/00223891.2015.1011330 -
The Cochrane Database of Systematic... Jun 2015This review has been withdrawn due to non‐compliance with Cochrane's Commercial Sponsorship Policy. The editorial group responsible for this previously published... (Review)
Review
This review has been withdrawn due to non‐compliance with Cochrane's Commercial Sponsorship Policy. The editorial group responsible for this previously published document have withdrawn it from publication.
Topics: Antidepressive Agents; Dysthymic Disorder; Humans; Placebos; Randomized Controlled Trials as Topic
PubMed: 26087170
DOI: 10.1002/14651858.CD001130.pub2 -
Depression and Anxiety Jan 2018Although depression is a risk factor for cardiovascular disease (CVD), it is unknown whether this risk varies across depressive disorder subtypes. Thus, we investigated...
BACKGROUND
Although depression is a risk factor for cardiovascular disease (CVD), it is unknown whether this risk varies across depressive disorder subtypes. Thus, we investigated atypical major depressive disorder (MDD) and double depression as predictors of new-onset CVD in a nationally representative sample of U.S. adults.
METHODS
Prospective data from 28,726 adults initially free of CVD who participated in Wave 1 (2001-2002) and Wave 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) were examined. Lifetime depressive disorder subtypes (Wave 1) and incident CVD (Wave 2) were determined by structured interviews.
RESULTS
We identified 1,116 incident CVD cases. In demographics adjusted models, the atypical MDD group had a higher odds of incident CVD than the no depression history (OR = 2.19, 95% CI: 1.71-2.81, P < .001), dysthymic disorder only (OR = 1.61, 95% CI: 1.08-2.39, P = .019), and nonatypical MDD (OR = 1.46, 95% CI: 1.11-1.91, P = .006) groups. Likewise, the double depression group had a higher odds of incident CVD than the no depression history (OR = 2.17, 95% CI: 1.92-2.45, P < .001), dysthymic disorder only (OR = 1.59, 95% CI: 1.16-2.19, P = .004), and MDD only (OR = 1.46, 95% CI: 1.20-1.77, P < .001) groups. Relationships were similar but attenuated after adjustment for CVD risk factors and anxiety disorders.
CONCLUSIONS
Adults with atypical MDD or double depression may be subgroups of the depressed population at particularly high risk of new-onset CVD. Thus, these subgroups may (a) be driving the overall depression-CVD relationship and (b) be in need of earlier and/or more intense CVD primary prevention efforts to reduce their excess CVD burden.
Topics: Adult; Cardiovascular Diseases; Depressive Disorder, Major; Dysthymic Disorder; Female; Humans; Male; Middle Aged; Prospective Studies; United States
PubMed: 28640965
DOI: 10.1002/da.22666 -
Journal of Affective Disorders Jan 2017Dysfunctions in the intrinsic clocks are suggested in patients with depressive disorders. The cryptochrome circadian clocks 1 and 2 (CRY1 and CRY2) proteins modulate...
BACKGROUND
Dysfunctions in the intrinsic clocks are suggested in patients with depressive disorders. The cryptochrome circadian clocks 1 and 2 (CRY1 and CRY2) proteins modulate circadian rhythms in a cell and influence emotional reactions and mood in an individual. The protein kinase C delta binding protein (PRKCDBP, or CAVIN3), similar to the serum deprivation response protein (SDPR, or CAVIN2), reduces metabolic stability of the PER2-CRY2 transcription factor complex that plays a role in the circadian rhythm synchronization. Our aim was to study SDPR, PRKCDBP, CRY1 and CRY2 genetic variants in depressive disorders.
METHODS
The sample included 5910 Finnish individuals assessed with the Munich-Composite International Diagnostic Interview (M-CIDI) in year 2000. In year 2011, 3424 individuals were assessed again. After genotype quality control, there were 383 subjects with major depressive disorder, 166 with dysthymia, and 479 with depressive disorders (major depressive disorder, dysthymia or both), and 4154 healthy controls. A total of 48 single-nucleotide polymorphisms from SDPR, PRKCDBP, CRY1 and CRY2 genes were analyzed using logistic regression models controlling for age and gender.
RESULTS
The earlier reported association of CRY2 variants with dysthymia was confirmed and extended to major depressive disorder (q<0.05). In addition, novel associations of PRKCDBP rs1488864 with depressive disorders (q=0.02) and with major depressive disorder in specific (q=0.007) were found.
LIMITATIONS
The number of cases was moderate and coverage of PRKCDB was limited.
CONCLUSIONS
CRY2 and PRKCDBP variants may be risk factors of major depressive disorder and provide information for diagnosis.
Topics: Adult; Aged; Aged, 80 and over; Carrier Proteins; Circadian Rhythm; Cryptochromes; Depressive Disorder, Major; Dysthymic Disorder; Female; Genotype; Humans; Intracellular Signaling Peptides and Proteins; Male; Middle Aged; Phosphate-Binding Proteins; Polymorphism, Single Nucleotide
PubMed: 27721187
DOI: 10.1016/j.jad.2016.09.034 -
The Cochrane Database of Systematic... Jun 2015Major depression and other depressive conditions are common in people with cancer. These conditions are not easily detectable in clinical practice, due to the overlap... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Major depression and other depressive conditions are common in people with cancer. These conditions are not easily detectable in clinical practice, due to the overlap between medical and psychiatric symptoms, as described by diagnostic manuals such as the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD). Moreover, it is particularly challenging to distinguish between pathological and normal reactions to such a severe illness. Depressive symptoms, even in subthreshold manifestations, have been shown to have a negative impact in terms of quality of life, compliance with anti-cancer treatment, suicide risk and likely even the mortality rate for the cancer itself. Randomised controlled trials (RCTs) on the efficacy and tolerability of antidepressants in this population group are few and often report conflicting results.
OBJECTIVES
To assess the effects and acceptability of antidepressants for treating depressive symptoms in adults (18 years or older) with cancer (any site and stage).
SEARCH METHODS
We searched the following electronic bibliographic databases: the Cochrane Central Register of Controlled Trials (CENTRAL 2014, Issue 3), MEDLINE Ovid (1946 to April week 3, 2014), EMBASE Ovid (1980 to 2014 week 17) and PsycINFO Ovid (1987 to April week 4, 2014). We additionally handsearched the trial databases of the most relevant national, international and pharmaceutical company trial registers and drug-approving agencies for published, unpublished and ongoing controlled trials.
SELECTION CRITERIA
We included RCTs allocating adults (18 years or above) with any primary diagnosis of cancer and depression (including major depressive disorder, adjustment disorder, dysthymic disorder or depressive symptoms in the absence of a formal diagnosis) comparing antidepressants versus placebo, or antidepressants versus other antidepressants.
DATA COLLECTION AND ANALYSIS
Two review authors independently checked eligibility and extracted data using a form specifically designed for the aims of this review. The two authors compared the data extracted and then entered data into RevMan 5 with a double-entry procedure. Information extracted included study and participant characteristics, intervention details, outcome measures for each time point of interest, cost analysis and sponsorship by a drug company. We used the standard methodological procedures expected by The Cochrane Collaboration.
MAIN RESULTS
We retrieved a total of nine studies (861 participants), with seven studies contributing to the meta-analysis for the primary outcome. Four of these compared antidepressants and placebo, two compared two antidepressants and one-three armed study compared two antidepressants and a placebo arm. For the acute phase treatment response (6 to 12 weeks), we found very low quality evidence for the effect of antidepressants as a class on symptoms of depression compared with placebo when measured as a continuous outcome (standardised mean difference (SMD) -0.45, 95% confidence interval (CI) -1.01 to 0.11, five RCTs, 266 participants) or as a proportion of people who had depression (risk ratio (RR) 0.82, 95% CI 0.62 to 1.08, five RCTs, 417 participants). No trials reported data on the follow-up response (more than 12 weeks). In head-to-head comparisons we only retrieved data for selective serotonin reuptake inhibitors (SSRIs) versus tricyclic antidepressants, providing very low quality evidence for the difference between these two classes (SMD -0.08, 95% CI -0.34 to 0.18, three RCTs, 237 participants). No clear evidence of an effect of antidepressants versus either placebo or other antidepressants emerged from the analyses of the secondary efficacy outcomes (dichotomous outcome, response at 6 to 12 weeks, very low quality evidence). We found very low quality evidence for the effect of antidepressants as a class in terms of dropouts due to any cause compared with placebo (RR 0.87, 95% CI 0.49 to 1.53, six RCTs, 455 participants), as well as between SSRIs and tricyclic antidepressants (RR 0.83, 95% CI 0.53 to 1.30, three RCTs, 237 participants). We downgraded the quality of the evidence because the included studies were at an unclear or high risk of bias due to poor reporting, imprecision arising from small sample sizes and wide confidence intervals, and inconsistency due to statistical or clinical heterogeneity.
AUTHORS' CONCLUSIONS
Despite the impact of depression on people with cancer, available studies were very few and of low quality. This review found very low quality evidence for the effects of these drugs compared with placebo. On the basis of these results clear implications for practice cannot be made. The use of antidepressants in people with cancer should be considered on an individual basis and, considering the lack of head-to-head data, the choice of which agent should be prescribed may be based on the data on antidepressant efficacy in the general population of individuals with major depression, also taking into account that data on medically ill patients suggest a positive safety profile for the SSRIs. Large, simple, randomised, pragmatic trials comparing commonly used antidepressants versus placebo in people with cancer with depressive symptoms, with or without a formal diagnosis of a depressive disorder, are urgently needed to better inform clinical practice.
Topics: Adjustment Disorders; Adult; Antidepressive Agents; Antidepressive Agents, Tricyclic; Depression; Depressive Disorder; Depressive Disorder, Major; Dysthymic Disorder; Humans; Neoplasms; Randomized Controlled Trials as Topic; Selective Serotonin Reuptake Inhibitors
PubMed: 26029972
DOI: 10.1002/14651858.CD011006.pub2 -
Cureus Jan 2024Objectives This study aims to understand the statistical significance of the associations between diagnoses and symptoms based on simulations that have been used to...
Objectives This study aims to understand the statistical significance of the associations between diagnoses and symptoms based on simulations that have been used to understand the interpretability of mental illness diagnoses. Methods The symptoms for the diagnosis of major depressive episodes, dysthymic disorder, and manic episodes were extracted from the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR, American Psychiatric Association, Philadelphia, Pennsylvania). Without real-world symptom data, we simulated populations using various combinations of symptom prevalence and correlations. Assuming symptoms occurred with similar prevalence and correlations, for each combination of symptom prevalence (0.05, 0.1, 0.3, 0.5, and 0.7) and correlation (0, 0.1, 0.4, 0.7, and 0.9), 100 cohorts with 10,000 individuals were randomly created. Diagnoses were made according to the DSM-IV-TR criteria. The associations between the diagnoses and their input symptoms were quantified with odds ratios and correlation coefficients. P-values from 100 cohorts for each combination of symptom prevalence and correlation were summarized. Results Three mental illness diagnoses were not significantly correlated with their own symptoms in all simulations, particularly when symptoms were not correlated, except for the symptom in the major criteria of major depressive episodes or dysthymic disorder. The symptoms for the diagnosis of major depressive episodes and dysthymic disorder were significantly correlated with these two diagnoses in some simulations, assuming 0.1, 0.4, 0.7, or 0.9 symptom correlations, except for one symptom. The overlap in the input symptoms for the diagnosis of major depressive episodes and dysthymic disorder also leads to significant correlations between these two diagnoses, assuming 0.1, 0.4, 0.7, and 0.9 correlations between input symptoms. Manic episodes are not significantly associated with the input symptoms of major depressive episodes and dysthymic disorder. Conclusion There are challenges to establish the causation between psychiatric symptoms and mental illness diagnoses. There is insufficient prevalence and incidence data to show all psychiatric symptoms exist or can be observed in patients. The diagnostic accuracy of symptoms to detect a disease cause is far from perfect. Assuming the symptoms of three mood disorders may present in patients, three diagnoses are not significantly associated with all psychiatric symptoms used to diagnose them. The diagnostic criteria of the three diagnoses have not been designed to guarantee significant associations between symptoms and diagnoses. Because statistical associations are important for making causal inferences, there may be a lack of causation between diagnoses and symptoms. Previous research has identified factors that lead to insignificant associations between diagnoses and symptoms, including biases due to data processing and a lack of epidemiological evidence to support the design of mental illness diagnostic criteria.
PubMed: 38352079
DOI: 10.7759/cureus.52234 -
International Journal of Preventive... 2022Obesity is a chronic medical illness with a higher risk of physical and mental cascade. People who seek obesity treatment were reported to have some psychiatric...
BACKGROUND
Obesity is a chronic medical illness with a higher risk of physical and mental cascade. People who seek obesity treatment were reported to have some psychiatric disorders affecting their disease and selection of management.
AIMS OF THE STUDY
This study aims to estimate the prevalence of depressive and anxiety disorders in obese patients seeking obesity management and explore the relationship between common psychiatric disorders (depression and anxiety disorders) and selection of the type of obesity management (surgical or non-surgical).
METHODS
Patients were recruited from Alazhar Universityhospitals, Egypt, and the total number completing the study was 1115 patients. All subjects underwent psychiatric interview through Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID-5 for DSM-5) for diagnosis of psychiatric disorders and completed two questionnaires, Hamilton Rating Scale for Depression (HRSD) and Hamilton Rating Scale for Anxiety (HRSA).
RESULTS
The prevalences of depressive and anxiety disorders were 29.23% and 25.56%, respectively, in all subjects. The most prevalent diagnoses were dysthymic disorder (20.7%), general anxiety disorder (16.95%), major depressive disorder (13.04%), and social phobia (12.4%). Our sample was divided into two groups (surgical and non-surgical). Dysthymia was more common in the surgical group (21.4% versus 19.8% = 0.560), whereas major depressive disorder was more common in the non-surgical group (7.4% versus 5.4 = 0.593); also, the non-surgical group was more likely to have "anxiety disorders" (29.23% versus 22.4%, = 0.840), but severity of anxiety was higher in the surgical group according to HRSA score with a highly significant difference.
CONCLUSIONS
A high prevalence of depression and anxiety disorders was found among patients who sought obesity treatment. Severity of anxiety was higher in the surgical group according to HRSA score with a highly significant difference, which may affect selection of treatment, so psychiatric evaluation and management are needed before and after obesity management to improve the outcome.
PubMed: 36452465
DOI: 10.4103/ijpvm.ijpvm_102_21 -
The Primary Care Companion For CNS... 2013Craving for alcohol is associated with abnormal activation in the dorsolateral prefrontal cortex. Deep transcranial magnetic stimulation (dTMS) has shown promise in the...
BACKGROUND
Craving for alcohol is associated with abnormal activation in the dorsolateral prefrontal cortex. Deep transcranial magnetic stimulation (dTMS) has shown promise in the treatment of depression. There are few treatment options for treatment-resistant dysthymic disorder comorbid with alcohol use disorder.
OBJECTIVE
To investigate the possible anticraving efficacy of bilateral dorsolateral prefrontal cortex high-frequency dTMS in 3 patients with comorbid long-term DSM-IV-TR dysthymic disorder and alcohol use disorder.
METHOD
Three patients with alcohol use disorder with dysthymic disorder in their detoxification phase (abstaining for > 1 month) underwent twenty 20-minute sessions of 20 Hz dTMS over the dorsolateral prefrontal cortex over 28 days between 2011 and 2012. Alcohol craving was rated with the Obsessive Compulsive Drinking Scale and depressive symptoms with the Hamilton Depression Rating Scale.
RESULTS
All 3 patients responded unsatisfactorily to initial intravenous antidepressant and antianxiety combinations but responded after 10 dTMS sessions, improving on both anxiety-depressive symptoms and craving. This improvement enabled us to reduce antidepressant dosages after dTMS cycle completion.
DISCUSSION
High-frequency bilateral dorsolateral prefrontal cortex dTMS with left prevalence was found to produce significant anticraving effects in alcohol use disorder comorbid with dysthymic disorder. The potential of dTMS for reducing craving in patients with substance use disorder deserves to be further investigated.
PubMed: 23724355
DOI: 10.4088/PCC.12m01438 -
The Journal of Clinical Psychiatry Dec 2010To examine the prevalence of chronic major depressive disorder (CMDD) and dysthymic disorder, their sociodemographic correlates, patterns of 12-month and lifetime...
OBJECTIVE
To examine the prevalence of chronic major depressive disorder (CMDD) and dysthymic disorder, their sociodemographic correlates, patterns of 12-month and lifetime psychiatric comorbidity, lifetime risk factors, psychosocial functioning, and mental health service utilization.
METHOD
Face-to-face interviews were conducted in the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (n = 43,093).
RESULTS
The 12-month and lifetime prevalences were greater for CMDD (1.5% and 3.1%, respectively) than for dysthymic disorder (0.5% and 0.9%, respectively). Individuals with CMDD and dysthymic disorder shared most sociodemographic correlates and lifetime risk factors for major depressive disorder. Individuals with CMDD and dysthymic disorder had almost identically high rates of Axis I and Axis II comorbid disorders. However, individuals with CMDD received higher rates of all treatment modalities than individuals with dysthymic disorder.
CONCLUSIONS
Individuals with CMDD and dysthymic disorder share many sociodemographic correlates, comorbidity patterns, risk factors, and course. Individuals with chronic depressive disorders, especially those with dysthymic disorder, continue to face substantial unmet treatment needs.
Topics: Adult; Aged; Aged, 80 and over; Chronic Disease; Comorbidity; Depressive Disorder, Major; Diagnostic and Statistical Manual of Mental Disorders; Dysthymic Disorder; Female; Health Services Needs and Demand; Health Surveys; Humans; Male; Mental Health Services; Middle Aged; Prevalence; Psychiatric Status Rating Scales; Risk Factors; Sampling Studies; Social Class; United States
PubMed: 21190638
DOI: 10.4088/JCP.09m05663gry -
Open Access Rheumatology : Research and... 2019Patients with rheumatoid arthritis (RA) are prone to depression due to several factors related to their RA, including chronic and persistent pain, functional disability,... (Review)
Review
Patients with rheumatoid arthritis (RA) are prone to depression due to several factors related to their RA, including chronic and persistent pain, functional disability, economic constraints, and the side effects of RA medication. Previous Iranian studies showed conflicting and inconclusive findings regarding the prevalence of depression among RA patients. Therefore, this systematic review and meta-analysis was conducted to estimate the true prevalence of depression in Iranian patients with RA. Search for eligible articles was performed using the keywords of depression, depressive disorder, dysthymic disorder, major depressive disorder, RA, and Iran, and their possible combinations in the following databases: Scientific Information Database, MagIran, Web of Science/ISI, PubMed, and Scopus. The search was restricted to articles published in Persian and English languages. The meta-analysis was performed using the random effects model, and the data were analyzed using the STATA software version 12. Overall, six articles were selected; the overall prevalence of depression among the Iranian patients with RA was 65.58% (95% CI: 56.53%-74.62%). There were no significant relationships between the prevalence of depression and articles' methodological quality and year of publication, participants' age, sample size, and duration of disease. More than half of RA patients suffer from depression. The overlap between the physical symptoms of RA and depression in this group of patients makes it difficult to correctly diagnose depression; therefore, initiative and efforts are required to improve the identification of early depression symptoms in RA patients in order to effectively manage their depression.
PubMed: 30863193
DOI: 10.2147/OARRR.S191459