Evidence map›Paper›PMID 41637757›Full record

Trial reportJournal of medical Internet research2026

The Effectiveness of the Headspace App for Improving Sleep: Randomized Controlled Trial.

Zoltan Andre Torok, Larisa Gavrilova, Amish Patel, Matthew Jason Zawadzki

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zoltan Andre TorokDepartment of Psychological Sciences, University of California, 5200 North Lake Road, Merced, CA, 95343, United States, 1 5598712655.ORCID http://orcid.org/0009-0003-3191-0269
Larisa GavrilovaDepartment of Psychological Sciences, University of California, 5200 North Lake Road, Merced, CA, 95343, United States, 1 5598712655.ORCID http://orcid.org/0000-0001-5329-8574
Amish PatelDepartment of Psychological Sciences, University of California, 5200 North Lake Road, Merced, CA, 95343, United States, 1 5598712655.ORCID http://orcid.org/0009-0005-6801-143X
Matthew Jason ZawadzkiDepartment of Psychological Sciences, University of California, 5200 North Lake Road, Merced, CA, 95343, United States, 1 5598712655.ORCID http://orcid.org/0000-0001-6968-084X

Funding

Leisure as a Protective Factors against Everyday Risk for Cardiovascular DiseaseR15HL161681 · NHLBI · UNIVERSITY OF CALIFORNIA, MERCED · PI ZAWADZKI, MATTHEW JASON · 2022 to 2023
$686k
NHLBI NIH HHS R15 HL161681
6 · The paper itself

Abstract

Background: Improving sleep is critical for optimizing short-term and long-term health. Although in-person meditation training has been shown to impact sleep positively, there is a gap in our understanding of whether apps that teach self-guided meditation are also effective. Objective: This study aims to test whether Headspace (Headspace, Inc) improves sleep quality, tiredness, sleep duration, and sleep efficiency. Methods: Staff employees (N=135; mean age 38.1, SD 10.9; 75.0% female; 59.3% non-Hispanic White; 27.1% Hispanic) from a university in California's San Joaquin Valley participated in the study. Participants were randomized to complete 10 minutes of daily meditation via the Headspace app for 8 weeks or waitlist control. Sleep assessments were taken for 4 consecutive days at baseline, and then for 4-day bursts at 2, 5, and 8 weeks after randomization. Sleep quality and subjective sleep duration were assessed each morning with a sleep diary, tiredness was assessed throughout the day using ecological momentary assessment, and objective sleep duration and efficiency were measured using a Fitbit Charge 2. Results: Both subjective and objective sleep outcomes improved. For subjective sleep outcomes, multilevel modeling revealed that those in the Headspace condition, compared to the control group, reported better sleep quality at sessions 2 (β=0.48, SE=0.12; P<.001), 5 (β=0.91, SE=0.13; P<.001), and 8 (β=0.69, SE=0.15; P<.001) compared to baseline, and a decrease in tiredness at session 5 (β=-0.58, SE=0.19; P=.001) compared to baseline, but not at sessions 2 or 8. For objective sleep outcomes, those in the Headspace condition compared to the control group had longer sleep durations at session 5 (β=23.96, SE=12.19; P=.04) compared to baseline, but not at sessions 2 or 8. There were no significant effects for sleep efficiency. Conclusions: This study continues adding to the ever-developing field of mobile health apps by demonstrating that Headspace can positively impact sleep quality, tiredness, and duration.

Indexed as

MeditationMobile ApplicationsSleep DurationSleep QualityAdultFatigueFemaleHumansMaleMiddle Agedapp-basedapplicationecological momentary assessmentfemaleFitbitHeadspacemeditationmHealthmobile healthobjectiveoutcomerandomized controlled trialRCTself-guidedsleepsleep durationsleep efficiencysleep qualitysubjectivetirednessUnited Stateswearablewomen

Identifiers

PMID41637757
PMCPMC12872213

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.