MedPath

Prevalence of a Phenomenon of Epic Dream Disorder

Recruiting
Conditions
Dream Disorder
Registration Number
NCT05872594
Lead Sponsor
I.M. Sechenov First Moscow State Medical University
Brief Summary

A single-center, cross-sectional, non-interventional study based on the sleep department of the Kozhevnikov Clinic for Nervous Diseases at Sechenov University. A.Y. Kozhevnikov Sechenov University is being conducted between September 2022 and December 2023 to assess the prevalence and associated symptoms and risk factors of a multiple dreams with vivid emotion, causing morning and daytime symptoms - phenomenon of Epic Dream Disorder (EDD). Demographic, sleep and psychological characteristics of people with multiple dreams will be identified, including the following standardized scales: Spielberger Anxiety Scale, Beck Depression Scale, Shortened Sleep Questionnaire. Data will be collected by mean of online questionnaire tool. According to the data obtained, prevalence of the phenomenon, differences between continuous, rank and categorical variables will be calculated in participants with and without EDD. Multivariate logistic regression will be performed to assess associated risk factors of EDD.

Detailed Description

In clinical practice, there are patients complaining for numerous dreams, which negatively affect the daytime well-being of patients, although these complaints do not fall into the category of nightmares. There are currently no data on the prevalence of the phenomenon of this phenomenon. Studies conducted on small groups of patients have found that they are more likely to have chronic pain syndrome, family history of their complaints.

The proposed study will be able to provide the first data on the prevalence and concomitant symptoms of multiple dreams. This will allow the authors to give a more precise definition of this phenomenon, describe its concomitant symptoms, and evaluate the relevance of its diagnosis and treatment. The results of the study will set the stage for further clinical research on the pathogenesis and therapy approaches. The further studies are needed to explain the causes of this phenomenon to the patients and provide them with the necessary assistance.

In view of the high workload of the medical staff, and clinical centers under the COVID-19 pandemic, and in order to increase convenience for both study participants and the researchers, data for this study will be collected remotely. The implementation of the study objectives did not require a face-to-face examination of the participants. Internet-based data collection will further simplify the processing of the data. This approach to conducting the study has already shown its applicability in a number of clinical trials.

The study will be conducted at the I.M. Sechenov First Moscow State Medical University, Russian Ministry of Health, UTH No. 3, Clinic of Nervous Diseases. A.Y. Kozhevnikov, Department of Sleep Medicine.

This study plans to inсlude all participants who agreed to participate (i.e., who clicked on the button "agree" after reading informed consent form). Information about the study and link to the questionnaires and informed consent form will be spreaded in social media, student communities, and university departmental staff communities The demographic, sleep, and psychological characteristics of people with multiple dreams will be assessed. Then a statistical analysis will be performed to compare the differences in rank, continuous, and categorical variables, and perform a multivariate logistic regression.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
1000
Inclusion Criteria
  • consent to participate in the study, expressed by ticking the appropriate box on the website after reading the text of the informed consent, confirming their understanding of the study and their consent to participate in it;
Exclusion Criteria
  • age < 18 years; This criterion is evaluated when completing the questionnaire, questionnaires from participants under 18 years old will not be included in the statistical analysis

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Prevalence of the phenomenon of epic dream disorderThrough study completion, an average of 1 year

prevalence of the disease - the proportion of participants with the diagnosed epic dream disorder to the whole sample

Secondary Outcome Measures
NameTimeMethod
State anxiety symptomsThrough study completion, an average of 1 year

State anxiety by Spielberger Anxiety Scale

Demographic outcomes: AgeThrough study completion, an average of 1 year

Age in years

Demographic outcomes: name your departmentThrough study completion, an average of 1 year

For students only

use of nicotineThrough study completion, an average of 1 year

Fact and frequency of use of nicotine

dreams during daytime napThrough study completion, an average of 1 year

Presence of dreams during daytime nap (yes or no)

discomfort after the night of active dreamingThrough study completion, an average of 1 year

Presence of discomfort after the night of active dreaming in the morning or during the day

duration of complaintsThrough study completion, an average of 1 year

Question: how long do you experience multiple dreams

triggers of active dreamingThrough study completion, an average of 1 year

Were you able to identify a factor or event that triggered the appearance of multiple dreams? If yes, specify.

Intensity of speech activity in dreamThrough study completion, an average of 1 year

range 1-5

Intensity of swimming in dreamThrough study completion, an average of 1 year

range 1-5

Impression that your brain stays awake while you sleepThrough study completion, an average of 1 year

range 1-5

Dose of medicationsThrough study completion, an average of 1 year

Question about the dose of medication, if any

Frequency of medicationsThrough study completion, an average of 1 year

Question about the frequency of medications use, if any

Demographic outcomes: SexThrough study completion, an average of 1 year

options (male, female)

Demographic outcomes: WeightThrough study completion, an average of 1 year

Weight in kg

Demographic outcomes: Employment statusThrough study completion, an average of 1 year

choose category for the employment status and specify your scope of activities if any

Medical historyThrough study completion, an average of 1 year

Presence of any chronic illnesses (specify the name)

Intensity of walking in dreamThrough study completion, an average of 1 year

range 1-5

Demographic outcomes: HeightThrough study completion, an average of 1 year

Height in cm

Demographic outcomes: Level of educationThrough study completion, an average of 1 year

choose category for the level of education

Demographic outcomes: name the UniversityThrough study completion, an average of 1 year

For students only

Demographic outcomes: year of studyThrough study completion, an average of 1 year

For students only

Average duration of sleepThrough study completion, an average of 1 year

hours

Intensity of monotonous physical movements in dreamThrough study completion, an average of 1 year

range 1-5

Intensity of jumping in dreamThrough study completion, an average of 1 year

range 1-5

awakenings during the nightThrough study completion, an average of 1 year

Number of awakenings during the night

Seasonal fluctuation of the multiple dreamsThrough study completion, an average of 1 year

During which season do the multiple dreams occur more often

Trait anxiety symptomsThrough study completion, an average of 1 year

Trait anxiety by Spielberger Anxiety Scale

Intensity of running in dreamThrough study completion, an average of 1 year

range 1-5

Intensity of trip by transport in dreamThrough study completion, an average of 1 year

range 1-5

Subjective symptoms in the morning after a night of active dreamingThrough study completion, an average of 1 year

Presence and length of the other symptoms, if any

Family history of Excessive dream disorderThrough study completion, an average of 1 year

Did any of your family members has the same complaints, if yes, specify

Shortened Sleep QuestionnaireThrough study completion, an average of 1 year

Validated questionnaire to evaluate insomniac complaints, parasomnias, use of medications, hypersomnias, sleep related breathe disorders

recalling dreams upon awakeningThrough study completion, an average of 1 year

Question: After waking up, do you remember what you saw in the dream? with 3 options - I remember that I had a dream, but I don't remember what it was about

* I remember what the dream was about

* I remember all the details of the dream

Any peculiarities of your dreamThrough study completion, an average of 1 year

specify

characteristics of dream contentThrough study completion, an average of 1 year

Intensity of negative emotions (range 1-5)

Awareness of a dreamThrough study completion, an average of 1 year

I don't realize I'm dreaming; I am aware that I am dreaming, but I have no control; Awareness of dreaming and controlling; I realize that I'm dreaming and I can change the plot

Use of medicationsThrough study completion, an average of 1 year

Question about the use of medication, no or yes (specify the name)

Frequency of nights with multiple dreamsThrough study completion, an average of 1 year

Number of nights per week

Depression symptomsThrough study completion, an average of 1 year

Beck Depression scale

Amount of dreams during the nightThrough study completion, an average of 1 year

specify number (0, 1, 2, 3 and more)

Intensity of thought activity in dreamThrough study completion, an average of 1 year

range 1-5

Intensity of flight in dreamThrough study completion, an average of 1 year

range 1-5

use of alcoholThrough study completion, an average of 1 year

Fact and frequency of use of alcohol

Trial Locations

Locations (1)

II.M. Sechenov First Moscow State Medical University (Sechenov University)

🇷🇺

Moscow, Russian Federation

II.M. Sechenov First Moscow State Medical University (Sechenov University)
🇷🇺Moscow, Russian Federation
Mikhail Poluektov, PhD
Contact
Polina Pchelina, PhD
Sub Investigator

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