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NCT05253092

The Effects of Mindfulness Meditation on Sleep Quality and Perceived Stress

Completed NA Last updated 29 August 2022
What this trial tests

NA trial testing Virtual mindfulness meditation in Sleep in 30 participants. Completed in 31 July 2022.

Timeline
17 January 2022
Primary endpoint
31 July 2022
31 July 2022

Quick facts

Lead sponsorUniversity of the Sciences in Philadelphia
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposetreatment
Enrollment30
Start date17 January 2022
Primary completion31 July 2022
Estimated completion31 July 2022
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

University of the Sciences in Philadelphia

Who can join

18 and older, any sex, with Sleep. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Higher education students 18 years or older will participate in 8- virtual mindfulness meditation sessions over 3 to 4 weeks (minimum of 3 sessions per week). Each session will be 30 minutes long, 15 minutes for guided mindfulness meditation run by researchers, followed by a short discussion period to understand mindfulness meditation better. Before starting the mindfulness meditation session, baseline data will be collected.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other recruiting trials for Sleep

Currently open trials in the same condition.

Other University of the Sciences in Philadelphia trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05253092.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing