Dysthymic Disorder

2020 ◽  
Author(s):  
Keyword(s):  
Dysthymic Disorder

Sleep measurements in women with dysthymic disorder and insomnia

2014 ◽  
Vol 13 (1) ◽  
pp. 99-105
Author(s):  
Zeynep Kotan ◽  
Aylin Bican ◽  
Vahap Ozan Kotan ◽  
İbrahim Bora ◽  
Hayriye Dilek Yalvac ◽  
...  
Keyword(s):  
Dysthymic Disorder

Prevalenza dei disturbi affettivi (DSM-IIIR) nei pazienti di un reparto di medicina geriatrica. Uno studio epidemiologico con controlli della popolazione generale

1993 ◽  
Vol 2 (1) ◽  
pp. 47-52
Author(s):  
Cesare Turrina ◽  
Maria Steinmayr ◽  
Orazio Piasere ◽  
Orazio Siciliani
Keyword(s):  
Mental State ◽  
Specific Treatment ◽  
Adjustment Disorder ◽  
Depressive Mood ◽  
High Risk Group ◽  
Dysthymic Disorder ◽  
Medical Patients ◽  
Psychiatric Interview ◽  
Community Controls ◽  
State Examination

SummaryObjective - To investigate the rate of DSM-IIIR main affective disorders in a sample (52) of elderly medical patients consecutively admitted to a geriatric ward; to look for risk factors associated with depression; to compare the rate of depression with the one detected in community controls (117 subjects). Design - All consecutive patients admitted during January-February 1990 were assessed with a standardized psychiatric interview (Geriatric Mental State Examination) and with the Mini-Mental State Examination. Setting - The IV Geriatric Division (ward and day-hospital), Ospedale Civile Maggiore of Verona, which cares for elderly affected by medical illnesses. Main outcome measures - Depression was diagnosed according to the main DSM-IIIR categories for mood disorders. Results - Overall, an affective disorder was diagnose in 25% of the subjects (major depression 5,7%, dysthymic disorder 3,8%, n.o.s. depression 13,4%, adjustment disorder with depressive mood 1,9%). This rate was significantly higher when compared with the prevalence detected in community controls (25% vs. 11,1%). Older age, female sex, physical disability and distressing events were not associated with affective illness, while the lack of social support was significantly associated with depression. Conclusions - Elderly medical patients turned out to be an high risk group for depression, which deserves psychiatric screening and specific treatment.

Citalopram in the treatment of dysthymic disorder

2004 ◽  
Vol 19 (3) ◽  
pp. 143-148 ◽  
Author(s):  
David J. Hellerstein ◽  
Sarai Batchelder ◽  
Ruben Miozzo ◽  
David Kreditor ◽  
Steven Hyler ◽  
...  
Keyword(s):  
Dysthymic Disorder

Dysthymic Disorder and Rheumatic Pain Modulation Disorder (Fibrositis Syndrome): A Comparison of Symptoms and Sleep Physiology

1986 ◽  
Vol 31 (7) ◽  
pp. 608-616 ◽  
Author(s):  
Madhulika A. Gupta ◽  
Harvey Moldofsky
Keyword(s):  
Rem Sleep ◽  
Sleep Onset ◽  
High Amplitude ◽  
Depressive Illness ◽  
Pain Modulation ◽  
Dysthymic Disorder ◽  
Systematic Evaluation ◽  
Onset Latency ◽  
Rheumatic Pain ◽  
Sleep Physiology

It has been suggested that “fibrositis” or rheumatic pain modulation disorder (RPMD) is a varient of depressive illness. Both disorders are associated with abnormalities in sleep physiology. Since the clinical features of RPMD do not meet all the criteria for a major depressive disorder, the symptoms and sleep phsyiology in subjects with dysthmic disorder (DSM III criteria) (N = 6), and RMPD (N = 6) were compared, in order to determine the similarity between the two groups. The sleep physiology in dysthymic disorder was first examined over three consecutive nights since a systematic evaluation of the sleep physiology in this group of disorders has not yet been reported. All dysthymic patients showed episodic bursts of high-amplitude (75–150 microvolts) theta (3–5 Hz) bursts in stage 2 sleep, and REM onset latency was abbreviated only on night 2. The theta bursts have not been previously reported, and may be an early marker of disorganization of non-REM sleep in the dysthymic subjects. The comparison of the two groups revealed that RPMD subjects reported more pre- and post-sleep pain (p < 0.01), lighter sleep (p < 0.01), and more physical ailments during sleep (p < 0.01), and had more alpha (7–11.5 Hz) in non-REM sleep (p < 0.01). The dysthymic subjects who reported deeper sleep (p < 0.01), had a greater sleep continuity disturbance with longer stage 2 onset latency (p < 0.05), fewer hours of sleep (p < 0.05), more wakefulness after sleep onset (p < 0.05), more awakenings per hour of sleep (p < 0.01) and more stage changes per hour of sleep (p < 0.01), and showed theta bursts in stage 2 (p < 0.01). The distinctive symptoms and sleep physiologies in the two groups suggest that the two disorders are not related.

Dysthymic disorder: Treatment with mirtazapine

1999 ◽  
Vol 10 (2) ◽  
pp. 68-72 ◽  
Author(s):  
David L. Dunner ◽  
Helen E. Hendrickson ◽  
Carolyn Bea ◽  
Chris B. Budech ◽  
Elsa O'Connor
Keyword(s):  
Dysthymic Disorder ◽  
Disorder Treatment

Counselor Trainees' Assessment and Diagnosis of Lesbian Clients with Dysthymic Disorder

2004 ◽  
Vol 15 (2-3) ◽  
pp. 11-26
Author(s):  
Shelly K. Kerr ◽  
W. Rand Walker ◽  
Dennis A. Warner ◽  
Brian W. McNeill
Keyword(s):  
Counselor Trainees ◽  
Dysthymic Disorder ◽  
Assessment And Diagnosis

Affective Disorders Among Elderly General Practice Patients

1994 ◽  
Vol 165 (4) ◽  
pp. 533-537 ◽  
Author(s):  
C. Turrina ◽  
R. Caruso ◽  
R. Este ◽  
F. Lucchi ◽  
G. Fazzari ◽  
...  
Keyword(s):  
General Practice ◽  
Major Depression ◽  
Elderly Patients ◽  
General Practitioners ◽  
Affective Disorders ◽  
Dysthymic Disorder ◽  
Not Otherwise Specified ◽  
Prevalence Of Depression ◽  
General Practices

BackgroundWe investigated the prevalence of depression among 255 elderly general practice patients and the practitioners' performance in identifying depression.MethodElderly patients attending 14 general practices entered a screening phase with GHQ-12 and MMSE. Those positive were then interviewed with GMS and HAS.ResultsDSM-III-R major depression affected 22.4%, dysthymic disorder 6.3%, not otherwise specified (n.o.s.) depression 7.1 %. General practitioners performed fairly well: identification index 88.4%, accuracy 0.49, bias 1.85.ConclusionsDepression was markedly high. A selective progression of depressed elderly from the community to general practitioners is implied.

Comorbidity between mood and substance-related disorders: A systematic review and meta-analysis

2021 ◽  
pp. 000486742110547
Author(s):  
Sukanta Saha ◽  
Carmen CW Lim ◽  
Louisa Degenhardt ◽  
Danielle L Cannon ◽  
Monique Bremner ◽  
...  
Keyword(s):  
Mood Disorders ◽  
Drug Dependence ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Geographical Location ◽  
Dysthymic Disorder ◽  
Increased Risk ◽  
Meta Analyses ◽  
Substance Related Disorders ◽  
Study Designs

Background and Objectives: Evidence indicates that mood disorders often co-occur with substance-related disorders. However, pooling comorbidity estimates can be challenging due to heterogeneity in diagnostic criteria and in the overall study design. The aim of this study was to systematically review and, where appropriate, meta-analyse estimates related to the pairwise comorbidity between mood disorders and substance-related disorders, after sorting these estimates by various study designs. Methods: We searched PubMed (MEDLINE), Embase, CINAHL and Web of Science for publications between 1980 and 2017 regardless of geographical location and language. We meta-analysed estimates from original articles in 4 broadly defined mood and 35 substance-related disorders. Results: After multiple eligibility steps, we included 120 studies for quantitative analysis. In general, regardless of variations in diagnosis type, temporal order or use of adjustments, there was substantial comorbidity between mood and substance-related disorders. We found a sixfold elevated risk between broadly defined mood disorder and drug dependence (odds ratio = 5.7) and fivefold risk between depression and cannabis dependence (odds ratio = 4.9) while the highest pooled estimate, based on period prevalence risk, was found between broadly defined dysthymic disorder and drug dependence (odds ratio = 11.3). Based on 56 separate meta-analyses, all pooled odds ratios were above 1, and 46 were significantly greater than 1 (i.e. the 95% confidence intervals did not include 1). Conclusion: This review found robust and consistent evidence of an increased risk of comorbidity between many combinations of mood and substance-related disorders. We also identified a number of under-researched mood and substance-related disorders, suitable for future scrutiny. This review reinforces the need for clinicians to remain vigilant in order to promptly identify and treat these common types of comorbidity.

Interpersonal psychotherapy for depression and other disorders

2012 ◽  
pp. 1318-1327
Author(s):  
Carlos Blanco ◽  
John C. Markowitz ◽  
Myrna M. Weissman
Keyword(s):  
Life Events ◽  
Maintenance Treatment ◽  
Interpersonal Psychotherapy ◽  
Dysthymic Disorder ◽  
Current Status ◽  
Medical Illness ◽  
Major Depressive ◽  
Efficacy Data ◽  
Length Of Treatment ◽  
Depressive Episodes

Interpersonal psychotherapy (IPT) is a time-limited, diagnosis-focused therapy. IPT was defined in a manual. Research has established its efficacy as an acute and chronic treatment for patients with major depressive disorder (MDD) of all ages, as an acute treatment for bulimia nervosa, and as adjunct maintenance treatment for bipolar disorder. The research findings have led to its inclusion in treatment guidelines and increasing dissemination into clinical practice. Demonstration of efficacy in research trials for patients with major depressive episodes (MDEs) has led to its adaptation and testing for other mood and non-mood disorders. This has included modification for adolescent and geriatric depressed patients patients with bipolar and dysthymic disorders; depressed HIV-positive and depressed pregnant and postpartum patients; depressed primary care patients; and as a maintenance treatment to prevent relapse of the depression. Most of the modifications have been relatively minor and have retained the general principles and techniques of IPT for major depression. Non-mood targets have included anorexia, bulimia, substance abuse, borderline personality disorder, and several anxiety disorders. In general, outcome studies of IPT have suggested its promise for most psychiatric diagnoses in which it has been studied, with the exceptions of anorexia, dysthymic disorder, and substance use disorders. IPT has two complementary basic premises. First, depression is a medical illness, which is treatable and not the patient's fault. Second, depression does not occur in a vacuum, but rather is influenced by and itself affects the patient's psychosocial environment. Changes in relationships or other life events may precipitate depressive episodes; conversely, depressive episodes strain relationships and may lead to negative life events. The goal of treatment is to help the patient solve a crisis in his or her role functioning or social environment. Achieving this helps the patient to gain a sense of mastery over his or her functioning and relieves depressive symptoms. Begun as a research intervention, IPT has only lately started to be disseminated among clinicians and in residency training programmes. The publication of efficacy data, the promulgation of practice guidelines that embrace IPT among antidepressant treatments, and economic pressures on length of treatment have led to increasing interest in IPT. This chapter describes the concepts and techniques of IPT and its current status of adaptation, efficacy data, and training. The chapter provides a guide to developments and a reference list, but not a comprehensive review.

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