Hypersomnia in Major Depressive Disorder

September 3, 2019 updated by: Dr. Zhang Jihui, Chinese University of Hong Kong

Background: MDD is a common mental disorder with significant morbidities and mortalities. Recent local data suggested that depressive disorders have a prevalence of over 12% in females and nearly 7 % in males in Hong Kong general adult population. Other than insomnia, patients with MDD often complained another sleep symptom - hypersomnia (defined as daytime sleepiness or excessive sleep). Interestingly, when compared to insomnia, there is much far less research on the role of hypersomnia in MDD. However, there are available data suggested that hypersomnia is associated with greater treatment-resistance, more recurrence, and increased suicidality, suggesting a need to investigate this problem in MDD patients.

Objective: To investigate the prevalence and determine characteristics of hypersomnia amongst major depressive disorder.

Design: 2-phase study design Setting: A case-control study Participants: Patients with a history of Major Depressive Disorder from out-patient clinics in New Territories East Cluster.

Main outcome measures: Daytime sleepiness measured by MSLT, actigraphy and self-reported questionnaire (ESS), sleep duration as measured by sleep diary and actigraphy.

Study Overview

Status

Unknown

Intervention / Treatment

Detailed Description

Background

Significance of hypersomnia in depressive illness

Sleep disturbances are observed in up to 90% of depressed patients. Both insomnia, defined clinically as difficulty initiating and/or maintain sleep, and hypersomnia, defined as excessive daytime sleepiness (EDS) and/or excessive sleep duration, are key symptoms in the diagnostic criteria of depression. A sizeable number of studies have demonstrated clear associations between insomnia and poorer depressive outcomes. These include greater depressive symptom severity, poorer treatment response and increased risk of suicidal ideations and attempts. Persistent insomnia complaints following remission of major depressive episodes (MDE) have also been found to be associated with greater risk of recurrence, poorer overall functioning and quality of life. Compared to insomnia, there is much less research on the role of hypersomnia in depressive illness.

Studies so far have suggested a prognostic significance. Hypersomnia in depressed subjects amongst a mix of mood disorders have been linked to greater treatment-resistance, depressive relapse, higher suicidal ideations and increased risk of suicide; while hypersomnia complaints amongst general populations have predicted the risk of incident depression. More recently, studies of depressed individuals amongst a mix of mood disorders had further found that the concurrence of insomnia and hypersomnia was associated with worse symptomatology compared to patients with insomnia or hypersomnia alone. These studies also found that the concurrence of insomnia and hypersomnia had greater associations with bipolar spectrum features, which builds on from previous findings suggesting that hypersomnia itself may be a clinical marker for undetected or subsequent diagnosis of bipolar II disorders in depressed patients.

Knowledge gaps in the understanding of hypersomnia in major depression

Despite its prognostic implications, there is currently a lack of studies investigating potential determinants or clinical correlates of hypersomnia in major depressive disorder (MDD). MDD is one of the commonest diagnoses encountered in the outpatient setting, and may be distinct in its determinants and outcomes compared to other mood disorders. Existing studies on hypersomnia in depression have predominantly included subjects from a mix of mood disorders; thus, a gap exists to extend the scope of understanding on hypersomnia amongst unipolar depression.

Due to the lack of standardized definitions, even amongst contemporary classifications, there is little clarity as to which aspect of hypersomnia - i.e. whether EDS or excessive sleep duration, or in combination - is related to poorer depressive outcomes. Moreover, little is known about what severity of "excessive" daytime sleepiness and sleep duration may be of clinical significance. Most studies of hypersomnia in mood disorders have used crude definitions, predominantly in form of single yes/no questions, to define hypersomnia. Despite the availability of validated questionnaires such as the Epworth Sleepiness Scale (ESS) that could help quantify EDS, or the use of sleep diaries that may help determine an individual's average sleep duration, limited studies of hypersomnia in MDD have employed these tools. The variability in definitions have also resulted in a large range of reported prevalence - between 8.9% to 78% of hypersomnia in MDD samples. In order to generate more clinically useful data, it may be helpful to "deconstruct" hypersomnia into EDS and prolonged sleep duration, to quantify them using validated or clinically-relevant measures, and further analyze their associations with potential determinants and depressive outcomes.

Theoretically, a myriad of factors can contribute to EDS or prolonged sleep duration. These include physical-health related factors, such as the use of sedative medications, the presence of medical illnesses and sleep-related breathing disorders; also sleep-related factors, such as the need for shift-work, the presence of insomnia or other sleep-behavioral disturbances, or the presence of circadian-disorders or particular chronotype preferences. Psychiatric factors, such as increased anxiety, somatic complaints and perceived fatigue levels, may also be related to EDS or prolonged sleep duration. So far, no studies have simultaneously examined this range of factors and their potential associations with hypersomnia complaints in MDD. Whether these factors mediate or act synergistically with hypersomnia to influence depressive outcomes remain to be elucidated.

A limitation that many hypersomnia studies have faced is the lack of objective measures used to corroborate subjective measures of EDS or sleep duration. The mean sleep latency test (MSLT) is currently regarded as the gold standard objective measure for EDS, while polysomnography (PSG) and wrist actigraphy has been useful in validating sleep diary data. However, the costs, expertise and time required to conduct these tests have limited their use. A study involving the use of both subjective and objective measures of EDS or sleep duration, in addition to a thorough analysis of the potential determinants and clinical correlates, may provide valuable information on the clinical profiles of hypersomnia patients and shed light on areas for further research and management.

Study Type

Observational

Enrollment (Anticipated)

350

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Hong Kong, Hong Kong
        • Recruiting
        • Department of psychiatry, Faculty of Medicine, The Chinese University of Hong Kong
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 64 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Subjects will be successively recruited from August 2018 to August 2019 from the out-patient psychiatric clinics within the New Territories Eastern Cluster.

Description

Inclusion Criteria:

  • patients aged between 18-64 years old with a history of MDD

Exclusion Criteria:

  • patients with history of bipolar disorder, schizophrenic-spectrum disorder, substance abuse, alcohol dependence, dementia, patients with history of mental retardation and those unable to give consent.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
MDD with hypersomnia
Patient with a history of MDD and ESS >10
No intervention involved
MDD without hypersomnia
Patient with a history of MDD and ESS <=10
No intervention involved

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Hypersomnia
Time Frame: 1 year
Daytime Sleepiness measured by self rated Epworth Sleepiness Scale
1 year
Depression severity
Time Frame: 1 year
Clinician rated score by Structure Interview Guide for the Hamilton Depression Rating Scale - Seasonal Affective Disorder (SIGH-SAD)
1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Fatigue
Time Frame: 1 year
Self rated scale by Multidimensional Fatigue Inventory (MFI)
1 year
Function as indicated quality of life
Time Frame: 1 year
Self rated by 12-Item Short FOrm Survey (SF12)
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Zhang JiHui, Dr, CUHK

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2019

Primary Completion (Anticipated)

February 28, 2020

Study Completion (Anticipated)

August 31, 2020

Study Registration Dates

First Submitted

February 25, 2019

First Submitted That Met QC Criteria

July 2, 2019

First Posted (Actual)

July 5, 2019

Study Record Updates

Last Update Posted (Actual)

September 6, 2019

Last Update Submitted That Met QC Criteria

September 3, 2019

Last Verified

September 1, 2019

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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