Effect of Device Guided Breathing on Sleeplessness (2BRT01)
Study Details
Study Description
Brief Summary
The current study is designed to evaluate the effect of device guided breathing (DGB) on sleeplessness. Healthy subjects with mild to moderate sleeplessness that wish to improve their sleep quality will be included in this study. The subjects will receive a belt type breathing sensor, download the app on their smartphone, and will be required to perform DGB at their home setting for 2 weeks after a baseline period.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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N/A |
Detailed Description
Sleeplessness, defined as difficulty in falling asleep or maintaining sleep, is prevalent in about one third of the US population. Sleeplessness was found to have negative impact on the quality of life and daily functionality and in its chronic form, was also found to frequently lead to sympathetic over-activity. Stress is an important factor in triggering and exacerbating sleeplessness and its symptoms.
Current methods for alleviating the problem include drugs, modification of sleep habits (also delivered via smartphones), cognitive behavior therapy that includes relaxation techniques such as mindfulness, meditation, and diaphragmatic breathing.
Breathing pattern modification, as done by Device Guided Breathing (DGB) was found to affect beneficially the cardiovascular system. DGB guides its user in reducing breathing rate gradually from normal values (12-20 breaths/min) to slow rates (4-6 breaths/min) while increasing the relative duration of the exhalation phase. This is done by composing in real time musical tones from monitored respiration data with which the user synchronizes breathing
Breathing pattern modification, as done by DGB was originally implemented in a device called RESPeRATE that was cleared by the FDA for treating hypertension and stress and its use was supported by multiple clinical trials. However, the direct effect of DGB on sleeplessness has not yet been investigated,
DGB was recently implemented in a mobile system that consists of a Bluetooth enabled belt-type breathing sensor and an iOS mobile application ('App'). The App accumulates continuously breathing-related data and performance measure. The accumulated data are sent to an icloud-based server.
The current study is a single center, prospective, randomized, waiting-list-controlled (WLC) clinical trial designed to evaluate the effect of DGB on sleeplessness using the mobile DGB2 system.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Experimental: Immediate treatment (IT) Subjects from this group will perform 2 weeks of DGB with the DGB2 system immediately after 1 week of baseline monitoring. All subjects will answer questionnaires pertaining to their sleep quality. |
Device: DGB2
DGB guides its user in reducing breathing rate gradually from normal values (12-20 breaths/min) to slow rates (4-6 breaths/min) while increasing the relative duration of the exhalation phase. This is done by composing in real time musical tones from monitored respiration data with which the user synchronizes breathing .
Other Names:
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| Active Comparator: Wait list control (WLC) The subjects from the WLC group will do the same (answer questionnaires and perform 2 weeks of DGB with the DGB2 system) at a 1 week delay. |
Device: DGB2
DGB guides its user in reducing breathing rate gradually from normal values (12-20 breaths/min) to slow rates (4-6 breaths/min) while increasing the relative duration of the exhalation phase. This is done by composing in real time musical tones from monitored respiration data with which the user synchronizes breathing .
Other Names:
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Outcome Measures
Primary Outcome Measures
- Change in Energetic/Fatigue visual analogue scale (VAS) from baseline to completion of 2 weeks of DGB [2 weeks]
Secondary Outcome Measures
- Changes in sleep onset latency (SOL) from baseline to completion of 2 weeks of DGB [2 weeks]
Eligibility Criteria
Criteria
Inclusion Criteria:
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Healthy with mild to moderate sleeplessness
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Male or Female, Age 18-65
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Has ipod/ipad or smartphone compatible with the system used in the study
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Has access to internet and email
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Knowledge of English to the level of understanding the App and the sleep-monitor interface.
Exclusion Criteria:
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Known sleep or respiration disorder
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A serious systemic disease
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Pittsburg Insomnia Rating Scale (PIRS_2) <2
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Pregnant
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Afeka, Tel-Aviv Academic College of Engineering | Tel-aviv | Please Select Region, State Or Province | Israel | 65220 |
Sponsors and Collaborators
- Afeka, The Tel-Aviv Academic College of Engineering
- Sheba Medical Center
Investigators
- Principal Investigator: Moshe Halak, MD, Sheba Medical Center
- Study Director: Zehava Blechman, PhD, Afeka, Tel-Aviv Academic College of Engineering/
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 2361-15-SMC