SynthesisSleep & breathing = Schlaf & Atmung2024
Effects of different Chinese traditional exercises on sleep quality and mental health of adults: systematic review and meta-analysis.
Synthesis in Sleep & breathing = Schlaf & Atmung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Effects of Baduanjin exercise on sleep quality, depressive symptoms, quality of life, and body composition in older adults: a systematic review and meta-analysis of randomized controlled trials.Frontiers in public health · 2026Pooled it
- Effectiveness of Baduanjin exercise for improving the mental health of university students: a systematic review and meta-analysis of randomized controlled trials.Frontiers in psychology · 2026Pooled it
- Pooled it
- The effects of Tai Chi and Baduanjin on breast cancer patients: systematic review and meta-analysis of randomized controlled trials.Frontiers in oncology · 2024Pooled it
- Priority of nutrition and exercise in depression management: triangulating mini-review of past and recent evidence with clinical practice guidelines.Journal of health, population, and nutrition · 2025Review
- Non-pharmacological interventions of traditional Chinese medicine in treating polycystic ovary syndrome: a group consensus.Integrative medicine research · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the effects of traditional Chinese exercises on sleep quality and mental health in adults with different health statuses.
methodThis review was registered a priori (CRD42023382188) and executed according to PRISMA statement guidelines. We searched the databases CNKI, China Biology Medicine disc (CBM), Wangfang, PubMed, Web of Science, and Embase from the date of database creation to March 2023. Two researchers independently screened the literature, extracted the data, evaluated the methodological quality of the included literature, and then used Revman 5.4 and Stata 17.0 for the corresponding statistical analysis and graphing.
resultsThirty-four randomized controlled trials (RCTs) were included, with a total sample of 2563 adults (1276 in the experimental group and 1287 in the control group). The meta-analysis results showed that traditional Chinese exercise significantly improved sleep quality in different groups [WMD = - 1.58, 95% CI = - 2.17, - 1.00, P < 0.00001] and that Badaanjin was better than Taijiquan in improving sleep quality. For mental health, traditional Chinese exercise had good effects on anxiety [WMD = - 1.66, 95% CI = - 2.64, - 0.69, P = 0.0009] and depression [WMD = - 1.67, 95% CI = - 3.23, - 0.11, P = 0.04].
conclusionTraditional Chinese exercises can improve the quality of sleep and mental health in different groups of people and are highly recommended for good health effects.
Indexed as
Identifiers
37474686What OpenQuestion holds
Registered trials
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.