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Dysthymic Disorder

Q: What are the different types or variations of Dysthymic Disorder?

Dysthymic Disorder can manifest in different ways, with some individuals experiencing a more chronic and persistent form of the condition, while others may have intermittent episodes. The severity and duration of symptoms can also vary from person to person, making it important to tailor treatment approaches accordingly.

Dysthymic Disorder is a chronic, low-grade form of depression characterized by persistent sadness, lack of energy, and difficulty concentrating.
This mental health condition can significantly impact daily functioning and quality of life.
PubCompare.ai's AI-driven platform helps researchers enhance reproducibility by locating the best protocols and products to advance studies on Dysthymic Disorder.
By comparing data across literature, preprints, and patents, the tool improves research efficency and assists in finding the right tools to tackle this impportant psychiatric disorder.

Most cited protocols related to «Dysthymic Disorder»

Diagnostic Assessment of DSM-5 Disorders

Cited 77 times

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Publication 2014

Agoraphobia Alcohol Use Disorder Anxiety Disorders Cannabis Central Nervous System Stimulants Club Drugs Cocaine Conduct Disorder Diagnosis Disorder, Depressive Drug Use Disorders Dysthymic Disorder Hallucinogens Heroin Inhalation Drug Administration Manic Episode Mood Disorders Opioids Panic Disorder Pharmaceutical Preparations Phobia, Social Phobia, Specific Post-Traumatic Stress Disorder Sedatives Solvents Tobacco Products Tobacco Use Disorder Tranquilizing Agents

Adolescent Mental Health Parent Questionnaire

Cited 74 times

We attempted to collect information from a parent or parent-surrogate of each adolescent in order to obtain an additional perspective on the adolescent’s mental health and its correlates. A parent self-report questionnaire (SAQ) was developed for this purpose. Although an interview with the parent would have been preferable because the mode of administration would be the same as that of the child, and follow-up questions to clarify responses could have been included, a self-report format was necessary because of budgetary constraints. As shown in Table 1, parent reports focused on the five adolescent disorders for which previous methodological research has most consistently shown that parental reports are important for making diagnoses: attention-deficit/hyperactivity disorder, conduct disorder, oppositional defiant disorder, major depressive episode, and dysthymic disorder.35 (link), 36 (link) As in previous studies, we combined diagnostic information obtained from adolescents and parents when making final diagnostic classifications.37 (link) The Strength and Difficulties Questionnaire (SDQ)20 (link) was also included in the SAQ in order to obtain a dimensional rating of child mental health problems as well as to provide calibration data that could be used to interpret the SDQ scores in the NHIS. The average administration time for the final SAQ in pilot studies was approximately 45 minutes.

Merikangas K.R., Avenevoli S., Costello E.J., Koretz D, & Kessler R.C. (2009). The National Comorbidity Survey Adolescent Supplement (NCS-A): I. Background and Measures. Journal of the American Academy of Child and Adolescent Psychiatry, 48(4), 367-369.

Publication 2009

Adolescent Child Conduct Disorder Diagnosis Disorder, Attention Deficit-Hyperactivity Dysthymic Disorder Mental Health National Health Insurance Oppositional Defiant Disorder Parent

Screening and Assessing Depression in Children

Cited 59 times

The child phone interview included the Patient Health Questionnaire 9-item (PHQ-9) screener and the Diagnostic Interview Schedule for Children depression modules (DISC-IV). The PHQ-9 was completed prior to other depression and mental health measures.
The PHQ-9 is a self-administered version of the depression portion of the PRIME-MD interview,^{11 (link)} which uses DSM-IV criteria to assess for mental disorders in primary care.^{8 (link)} It can be scored to provide a dichotomous diagnosis of probable major depression and to grade symptom severity via a continuous score. The PHQ-9 has been found to have high sensitivity (73%) and high specificity (98%) for the diagnosis of major depression in adult populations.^{8 (link), 11 (link)} Among adults, scores on the PHQ-9 have also been used to define severity for probable diagnoses in the following manner: a score of 5-9 is considered minimal depression, 10-14 is considered mild major, 15-19 is moderate major, and ≥20 is severe major.^{8 (link)} The PHQ-9 also has a functional impairment question (item 10) that asks how much the symptoms they endorse in the first 9 items interfere with daily functioning.
The DISC-IV is a reliable and valid structured interview designed for lay interviewers, which includes algorithms to diagnose DSM-IV disorders in children and adolescents.^{12 (link)} Telephone versions of structured psychiatric interviews have been found to have a high correlation with in-person interviews.^{13 (link), 14 (link)} In order to decrease patient burden, only the depression modules (major depression and dysthymia) were used. All interviewers received 12 hours of classroom and hands-on training and additional project-specific training on the DISC-IV.

Richardson L.P., McCauley E., Grossman D.C., McCarty C.A., Richards J., Russo J.E., Rockhill C, & Katon W. (2010). Evaluation of the Patient Health Questionnaire (PHQ-9) for Detecting Major Depression among Adolescents. Pediatrics, 126(6), 1117-1123.

Publication 2010

Adolescent Adult Child Diagnosis Dysthymic Disorder Hypersensitivity Interviewers Major Depressive Disorder Mental Disorders Mental Health Patients Population Group Primary Health Care

Diagnosing Mental Disorders in Adolescents

Cited 51 times

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Publication 2010

Abuse, Alcohol Adolescent Agoraphobia Alcoholic Intoxication, Chronic Anorexia Nervosa Anxiety Disorders Behavior Disorders Bulimia Nervosa Conduct Disorder Diagnosis Disorder, Attention Deficit-Hyperactivity Disorder, Binge-Eating Drug Abuse Drug Dependence Dysthymic Disorder Eating Disorders Emotions Interviewers Major Depressive Disorder Mental Disorders Mood Disorders Oppositional Defiant Disorder Panic Disorder Parent Phobia, Social Phobia, Specific Physical Examination Post-Traumatic Stress Disorder Problem Behavior Separation Anxiety Disorder Substance Use Disorders

Validation of the DASS-21 Scales

Cited 45 times

The 21-item Depression Anxiety and Stress Scales was selected for this validation. Each of the three sub-scales: (DASS21-D), Anxiety (DASS21-A), and Stress (DASS21-S) has seven items. Each item comprises a statement and four short response options to reflect severity and scored from 0 (Did not apply to me at all) to 3 (Applied to me very much, or most of the time). In order to yield equivalent scores to the full DASS 42, the total score of each scale is multiplied by two [5 ] and ranges from 0 to 42. In the normative sample based on 1870 Australian females aged 17 to 79 years, means (standard deviation) were 6.14 (6.92) for the DASS21-D sub-scale; 4.80 (5.03) for the DASS21-A subscale and 10.29 (8.16) for the DASS21-S subscale [5 ]. The DASS sub-scale severity ratings suggested for Australia are shown in Table 1.
It was validated against individual psychiatrist-administered Structured Clinical Interviews for DSM IV Axis 1 Diagnoses (SCID) modules for depression (mild, moderate, and severe Major Depression or Dysthymia) and anxiety (Generalised Anxiety Disorder and Panic Disorder) in this study [18 ].

Tran T.D., Tran T, & Fisher J. (2013). Validation of the depression anxiety stress scales (DASS) 21 as a screening instrument for depression and anxiety in a rural community-based cohort of northern Vietnamese women. BMC Psychiatry, 13, 24.

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Publication 2013

Anxiety Anxiety Disorders Diagnosis Dysthymic Disorder Epistropheus Females Major Depressive Disorder Panic Disorder Psychiatrist SCID Mice Verloes Bourguignon syndrome

Most recents protocols related to «Dysthymic Disorder»

Depression Interventions Systematic Review Protocol

We will present results as a matrix of interventions (rows) and outcomes (columns) and assess the availability of evidence across the additional filters. In addition to the interventions and outcomes, the following filters will be coded (details are in Tables 7 and 8):

Population subgroups of interest include age group (young and middle‐aged adults: 18–60 years; older adults: 60 years and above), gender and sexual orientation (female, male, and LGBT community), career (e.g., nurse, doctor, student, teacher, police), and health state (depression alone, depression with physical disease, and depression with other psychical disorders).

The number of interventions: single treatment and combination treatment.

Type of depression: disruptive mood dysregulation disorder, major depressive disorder, persistent depressive disorder (dysthymia), premenstrual dysphoric disorder, substance or medication‐included depressive disorder, depressive disorder due to another medical condition, bipolar depression, other specific depressive symptoms, unspecified depressive disorder.

The severity of depression: mild depressive symptoms, moderate depressive symptoms, moderate to severe depressive symptoms, severe depressive symptoms, major depressive symptoms, other specific depressive symptoms, and undefined.

Period of depression: lifetime, 12 months, 6 months, 1 month, and not stated.

Number of episodes: depression episode, depression recurrence, and not stated;

The implementer of treatment: self‐help, healthcare provided, and provided by mental health professionals or volunteers.

Effectiveness of interventions: We will record whether the systematic review reported a mean positive statistically significant effect, a mean statistically significant negative effect, or no statistically significant difference between treatment and comparison conditions.

Region: Africa, Americas, East Asia, Europe, Eastern Mediterranean, Western Pacific.

Countries: any noted.

Conflict of interest: yes, no, and unclear.

Quality of studies: high, moderate, low, and critically low.

Guo L., Li J., White H., Xu Z., Ren J., Huang X., Chen Y, & Yang K. (2023). PROTOCOL: Treatment for depressive disorder among adults: An evidence and gap map of systematic reviews. Campbell Systematic Reviews, 19(1), e1308.

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Publication 2023

Adult Aged Age Groups Depression, Bipolar Depressive Symptoms Disorder, Depressive Dysthymic Disorder Gender Major Depressive Disorder Males Melancholia Mental Health Mood Disorders Nurses Pharmaceutical Preparations Physical Examination Physicians Premenstrual Dysphoric Disorder Recurrence Sexual Orientation Student Voluntary Workers Woman

Systematic Review of Adult Depression

The following international electric databases will be searched:

Social Sciences Citation Index (via Web of Science)

ScienceDirect (https://www.sciencedirect.com/)

Taylor & Francis Online Database (https://www.tandfonline.com/)

JSTOR (https://www.jstor.org/)

PsychArticles (via ProQuest)

PsychInfo (via EBSCOhost)

OCLC FirstSearch (https://firstsearch.oclc.org/)

PubMed (https://pubmed.ncbi.nlm.nih.gov/)

EMBASE (https://www.embase.com/)

The Cochrane Library (https://www.cochranelibrary.com/)

The Campbell Library (https://www.campbellcollaboration.org/better-evidence.html)

3ie Systematic Review Database (https://www.3ieimpact.org/evidence-hub/publications/systematic-reviews)

Epistemonikos (https://www.epistemonikos.org/)

CNKI (https://www.cnki.net/)

In addition, the pre‐print repository MedRxiv (https://www.medrxiv.org/) will also be searched
Below, the search strategy for PubMed is provided:
Depressive symptom keywords

‐

“Depressive Disorder”[Mesh] OR “Long‐Term Synaptic Depression”[Mesh] OR “Depression, Postpartum”[Mesh] OR “Depressive Disorder, Treatment‐Resistant” [Mesh] OR “Bipolar Disorder”[Mesh] OR “Dysthymic Disorder”[Mesh] OR “Seasonal Affective Disorder”[Mesh] OR “Depressive Disorder, Major”[Mesh] OR “Adjustment Disorders”[Mesh] OR “Affective Disorders, Psychotic”[Mesh] OR “Depression”[Mesh]

‐

(((depress* [Title/Abstract] OR distress [Title/Abstract]) OR (“Psychological Distress”[Mesh])) OR (“Depressive Disorder”[Mesh] OR “Long‐Term Synaptic Depression”[Mesh] OR “Depression, Postpartum”[Mesh] OR “Depressive Disorder, Treatment‐Resistant”[Mesh] OR “Bipolar Disorder”[Mesh] OR “Dysthymic Disorder”[Mesh] OR “Seasonal Affective Disorder”[Mesh] OR “Depressive Disorder, Major”[Mesh] OR “Adjustment Disorders”[Mesh] OR “Affective Disorders, Psychotic”[Mesh] OR “Depression”[Mesh])

Population keywords

‐

(“Adult” [Mesh] or (adult*[Title/Abstract]) or (old [Title/Abstract])

‐

NOT

‐

(“Child “ [Mesh] or (Child*[Title/Abstract]))

‐

NOT

‐

(“Adolescent “ [Mesh] or Adolescen* [Title/Abstract] OR Teen*[Title/Abstract] OR Youth [Title/Abstract] OR underage [Title/Abstract])

Study design keywords

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((“systematic review”[Title] OR “meta‐analysis” [Title] OR meta [Title] OR systematic [Title]) OR (“Meta‐Analysis” [Publication Type] OR “Meta‐Analysis as Topic”[Mesh])) OR (“Systematic Review” [Publication Type] OR “Systematic Reviews as Topic”[Mesh])

The following Chinese electric databases will be searched:

Chinese National Knowledge Infrastructure, CNKI (https://new.wanfangdata.com.cn/index.html)

Database for Chinese Technical Periodicals, VIP (http://www.tydata.com/)

Wanfang (https://new.wanfangdata.com.cn/index.html)

Below, the search strategy for CNKI is provided:
Population keywords:

‐

篇关摘= 成人 + 成年人 + 大学生

‐

Not

‐

篇关摘= 儿童 + 青少年 + 未成年 + 少年

Depressive symptom keywords:

‐

篇关摘= 抑郁 + 心理

Study design keywords:

‐

篇关摘= 系统评价 + 元分析 + 荟萃分析 + meta分析

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Publication 2023

Adjustment Disorders Adolescent Adult Bipolar Disorder cDNA Library Child Chinese Depressive Symptoms Dysthymic Disorder Electricity Long-Term Synaptic Depression Mental Disorders Mood Disorders Psychological Distress Seasonal Affective Disorder Youth

Treatment-Resistant Depression Outpatient Study

Patients were treated as outpatients with ages from 22 to 69 years who signed an informed consent form and had HDRS-21 ≥ 20 that was stable between screening and baseline assessments (±30%; Figure 1). Only patients who did not respond in the current episode to at least 1 and up to 4 antidepressant drug trials were eligible for this study (further details on inclusion and exclusion criteria are provided in the Supplemental Methods). Main exclusion criteria included comorbid psychiatric and neurological disorders, presence of psychosis, primary anxiety disorder causing higher distress than MDD, substance abuse within 6 months, prominent personality disorder causing higher distress than MDD, dysthymia, prior head trauma or seizures, and suicide attempt within 3 years. Mood stabilizers and antipsychotics were not allowed. Antidepressants were allowed but had to be maintained at a stable dose for at least 2 months before enrollment and throughout the study.

Zangen A., Zibman S., Tendler A., Barnea-Ygael N., Alyagon U., Blumberger D.M., Grammer G., Shalev H., Gulevski T., Vapnik T., Bystritsky A., Filipčić I., Feifel D., Stein A., Deutsch F., Roth Y, & George M.S. (2023). Pursuing personalized medicine for depression by targeting the lateral or medial prefrontal cortex with Deep TMS. JCI Insight, 8(4), e165271.

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Publication 2023

Antidepressive Agents Antipsychotic Agents Anxiety Disorders Barakat syndrome Craniocerebral Trauma Dysthymic Disorder Mood Nervous System Disorder Outpatients Patients Psychotic Disorders Seizures Substance Abuse Suicide Attempt

Depressive Disorder and Mental Health Days

Participants who responded “yes” to the question “Have you ever been told you have depressive disorder, including depression, major depression, dysthymia, or minor depression?” were considered as having depression, whereas those who responded “no” were considered as not having depression. Poor mental health days (PMHDs), which is the average number of self‐reported mentally unhealthy days in the past 30 days, is one of the Centers for Disease Control and Prevention's self‐reported measures of health‐related quality of life and a reliable estimate of a person's recent mental health.²⁰, ²¹ PMHDs were assessed in response to the question “Now thinking about your mental health, which includes stress, depression, and problems with emotions, for how many days during the past 30 days was your mental health not good?” and categorized as 0, 1 to 13, and 14 to 30 days.

Kwapong Y.A., Boakye E., Khan S.S., Honigberg M.C., Martin S.S., Oyeka C.P., Hays A.G., Natarajan P., Mamas M.A., Blumenthal R.S., Blaha M.J, & Sharma G. (2023). Association of Depression and Poor Mental Health With Cardiovascular Disease and Suboptimal Cardiovascular Health Among Young Adults in the United States. Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 12(3), e028332.

Publication 2023

Disorder, Depressive Dysthymic Disorder Emotions Major Depressive Disorder Mental Health

Affective and Nonaffective Illness Diagnoses

The presence of affective or nonaffective illness was determined according to SADS, KSADS, SLICE, and K-SLICE criteria, which follow Research Diagnostic Criteria [45 (link)]. Diagnoses of major depressive disorder, bipolar disorder, and dysthymia were designated as affective illnesses, and other illnesses such as substance use disorder and psychosis were considered as nonaffective illnesses. Descriptive statistics were used for all Likert-scale items from the young adult and parent questionnaires. In analyzing the parental data, we chose to focus on one parent per family—the mother (unless maternal data was unavailable). Qualitative interviews were reviewed in terms of participants’ verbatim responses, and key themes were identified and summarized.

Myers T.L., Gladstone T.R, & Beardslee W.R. (2023). The Transition to Adulthood in Children of Depressed Parents: Long-Term Follow-Up Data from the Family Talk Preventive Intervention Project. International Journal of Environmental Research and Public Health, 20(4), 3313.

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Publication 2023

Bipolar Disorder Diagnosis Dysthymic Disorder Major Depressive Disorder Mothers Parent Psychotic Disorders Sadness Single-Parent Family Substance Use Disorders Young Adult

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What is Dysthymic Disorder?

How can PubCompare.ai help with Dysthymic Disorder research?

PubCompare.ai allows you to screen protocol literature more efficiently and leverage AI to pinpoint critical insights. The platform can help researchers identify the most effective protocols related to Dysthymic Disorder for their specific research goals. PubCompare.ai's AI-driven analysis can highlight key differences in protocol effectiveness, enabling you to choose the best option for reproducibility and accuracy.

What are the different types or variations of Dysthymic Disorder?

How can PubCompare.ai assist in the optimal use and comparison of Dysthymic Disorder research?

PubCompare.ai's AI-driven platform helps researchers enhance reproducibility in Dysthymic Disorder studies by allowing them to compare data across literature, preprints, and patents. This enables them to identify the best protocols and products to advance their research, improving efficiency and increasing the chances of finding the right tools to tackle this important psychiatric disorder.

What are some common challenges or issues with Dysthymic Disorder?

One of the key challenges with Dysthymic Disorder is that the persistent, low-grade nature of the condition can make it difficult to diagnose and treat effectively. Patients may not seek help due to the gradual onset of symptoms, and healthcare providers may struggle to differentiate Dysthymic Disorder from other forms of depression. Additionally, the chronic nature of the condition can lead to significant impairments in daily functioning and quality of life over time.

More about "Dysthymic Disorder"

Dysthymic Disorder, also known as Persistent Depressive Disorder, is a chronic and low-grade form of depression characterized by persistent sadness, lack of energy, and difficulty concentrating.
This mental health condition can significantly impact an individual's daily functioning and quality of life.
Researchers can utilize various statistical software packages, such as Stata 12.0, SAS 9.4, and SPSS versions, to analyze data and advance studies on Dysthymic Disorder.
These tools can help researchers enhance the reproducibility of their work by providing robust data analysis and visualization capabilities.
In addition to statistical software, pharmacological interventions like Fluoxetine, a selective serotonin reuptake inhibitor (SSRI), have been used to treat Dysthymic Disorder.
Researchers can leverage the AI-driven platform of PubCompare.ai to locate the best protocols and products, including relevant medications, to enhance their studies on this important psychiatric disorder.
By comparing data across literature, preprints, and patents, PubCompare.ai's tool can improve research efficiency and assist researchers in finding the right tools and methods to tackle Dysthymic Disorder.
This can lead to a better understanding of the condition and the development of more effective treatments, ultimately improving the quality of life for those affected by this mental health condition.