Evidence map›Paper›PMID 42248986›Full record

SynthesisScientific reports2026

The effect of internet-based acceptance and commitment therapy on sleep quality and insomnia in adults: a systematic review and meta-analysis.

Jiaying Fu, Xiaohong Zhang, Yufei Qiu, Qianqian Luo, Rao Liu, Jiali Liu, Yake Yue, Juan Gu, Mengjie Tong, Yong Zhou and 1 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 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

11 authors.

Jiaying Fu *School of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China.
Xiaohong Zhang *Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Yufei QiuSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China.
Qianqian LuoSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China.
Rao LiuSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China.
Jiali LiuSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China.
Yake YueSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China.
Juan GuSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China.
Mengjie TongSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China.
Yong ZhouHubei Shizhen Laboratory, Wuhan, 430065, China. yongzhou563@sohu.com.
Fen YangSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China. fenyang@hbucm.edu.cn.

Funding

Hubei Province Shi Zhen Talent Project for Key Personnel in Traditional Chinese Medicine 256Hubei Provincial Natural Science Foundation Joint Fund for Traditional Chinese Medicine 2025ADF481National Center for Mental Health and Mental Hygiene GXDXK2025B-12Science and Technology Research Project of the Education Department of Hubei Province B2024096the Master's Qihang Program of Hubei University of Chinese Medicine 2026SSCX54Wuhan Project for Medical Core Talents of Middle-Aged and Young Professionals 55
6 · The paper itself

Abstract

Insomnia and poor sleep quality are common sleep-related problems in adults and are associated with impaired quality of life, psychological distress, and increased physical health burden. Although cognitive behavioral therapy for insomnia (CBT-I) is recommended as the first-line non-pharmacological treatment for chronic insomnia, internet-based Acceptance and Commitment Therapy (iACT) has increasingly been explored as an alternative or complementary digital psychological intervention for improving sleep-related outcomes. To systematically evaluate the effects of iACT on sleep quality and insomnia-related outcomes in adults. PubMed, Web of Science, Cochrane Library, CINAHL, and Embase were systematically searched from inception to December 6, 2025. We included randomized controlled trials evaluating internet-based Acceptance and Commitment Therapy in adults that reported validated outcomes for sleep quality or insomnia. Standardized mean differences were pooled using a random-effects model, and risk of bias was assessed using the Cochrane Risk of Bias 2 tool. Eight randomized controlled trials met the inclusion criteria. Five studies were included in the meta-analysis of sleep quality outcomes and three in the meta-analysis of insomnia outcomes. Compared with passive control conditions, iACT was associated with better sleep quality outcomes (SMD = - 0.92, 95% CI - 1.45 to - 0.38; p < 0.001) and reduced insomnia symptoms (SMD = - 0.40, 95% CI - 0.64 to - 0.16; p < 0.001). Exploratory subgroup analyses suggested possible variation in sleep quality outcomes according to intervention duration, participant characteristics, and delivery format, although these findings should be interpreted cautiously. iACT may have potential to improve sleep quality and insomnia-related outcomes in adults. However, the available evidence remains limited by heterogeneous populations, intervention characteristics, delivery formats, and overall low certainty of evidence. Therefore, the findings should be considered preliminary rather than definitive.

Indexed as

Acceptance and Commitment TherapyInternetSleep Initiation and Maintenance DisordersSleep QualityAdultHumansQuality of LifeRandomized Controlled Trials as TopicTreatment OutcomeAcceptance and commitment therapyAdultsInsomniaInternetMeta-analysisSleep qualitySystematic review

Identifiers

PMID42248986
PMCPMC13483201

What OpenQuestion holds

Textmetadata
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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.