The Effect of Exergames on Sleep Quality (EXSLEEPQUALITY)
The Effect of Exergames on Sleep Quality in Nursing Students: A Randomized Controlled Trial
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Bartın, Turkey
- Bartın University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Being a nursing program student,
- Willingness to participate in the study.
Exclusion Criteria:
- Having any cardiovascular, cerebrovascular, or other physical conditions that could prevent participation in a 30-minute exercise session.
- Being diagnosed with a sleep disorder
- Using medications that effect sleep, the autonomic nervous system, or the cardiovascular system, such as hypnotics
- Having any upper extremity injury or similar condition that would prevent the use of an actigraph device
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Intervention
Play the Oculus Quest 2 games
|
Every three to four days (roughly 72 to 96 18 19 hours), a session was held.
Students were required to use the Oculus Quest 2 and touch controllers to play immersive exergames for thirty minutes during each session.
In each session, they were asked to play the games Dance Central (https://www.dancecentral.com/ ) and CREED: Rise to Glory (which the researchers loaded into the Oculus Quest 2) via the Meta Quest Gaming platform (https://www.meta.com/tr-tr/experiences/creed-rise-to27
glory-championship-edition/2366245336750543/ ).
|
|
No Intervention: Control
Standard physical activity recommendations
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
sleep quality
Time Frame: Baseline and 8th day
|
Pittsburgh Sleep Quality Index (PSQI): The Pittsburgh Sleep Quality Index (PSQI), developed by Buysse et al. and validated for reliability in Turkish, will be used to assess the usual sleep quality of the experimental and control groups to evaluate their homogeneity before the intervention (Ağargün et al., 1996).
The PSQI evaluates seven components: subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction.
The sum of these seven components forms the total PSQI score.
The total PSQI score ranges from 0 to 21, with lower scores indicating better sleep quality.
|
Baseline and 8th day
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sleep efficiency
Time Frame: Baseline and 8th day
|
Wrist actigraphy: Wrist actigraphy was used to assess the objective sleep, which is frequently used to assess each person's level of physical activity and sleep quality in adults.
Each participant in the study wore an actigraph (GT3X-Plus three-axis model, ActiGraph LLC, Pensacola, FL, USA) on their non-dominant wrist.
The device was adjusted to 1-minute epochs and 30 Hz in the current study.
Activity counts were analyzed using ActiLife software (version 6.13.6) based on the sleep diary entries, and the Cole-Kripke algorithm was used to score sleep on actigraphy data in order to predict bedtime and waking time.
The following metric was extracted from the actigraphy-based data: sleep efficiency (SE).
|
Baseline and 8th day
|
|
Wake after sleep onset (WASO)
Time Frame: Baseline and 8th day
|
Wrist actigraphy: Wrist actigraphy was used to assess the objective sleep, which is frequently used to assess each person's level of physical activity and sleep quality in adults.
Each participant in the study wore an actigraph (GT3X-Plus three-axis model, ActiGraph LLC, Pensacola, FL, USA) on their non-dominant wrist.
The device was adjusted to 1-minute epochs and 30 Hz in the current study.
Activity counts were analyzed using ActiLife software (version 6.13.6) based on the sleep diary entries, and the Cole-Kripke algorithm was used to score sleep on actigraphy data in order to predict bedtime and waking time.
The following metric was extracted from the actigraphy-based data: wake after sleep onset (WASO).
|
Baseline and 8th day
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- BU-NURSE-FDB-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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