Evidence map›Paper›PMID 39644454›Full record

SynthesisEuropean geriatric medicine2025

At least 150 min per week of Tai chi practice improves sleep quality in the older people: evidence from a meta-analysis.

Lan Lei, Shuwan Chang, Liang Cheng

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in European geriatric medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
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

3 authors.

Lan Lei *Department of Sports and Human Science, Sichuan Sports College, Chengdu, China.ORCID http://orcid.org/0009-0003-2328-486X
Shuwan Chang *Chengdu Sport University, Chengdu, China.ORCID http://orcid.org/0000-0002-3937-1701
Liang ChengSichuan Academy of Chinese Medicine Sciences, Chengdu, China. xuelilantian@163.com.ORCID http://orcid.org/0000-0003-4105-1763

Funding

Central Guidance for Local Science and Technology Development Fund Projects 2024ZYD0001
6 · The paper itself

Abstract

objectiveTo conduct a meta-analysis to explore the optimal dosage of Tai chi exercise that positively influences the sleep quality of the older people.

methodsA literature search was conducted from 2004 to October 2024 in PubMed, Embase, Web of Science, Google Scholar, Cochrane Library, and Chinese databases (CNKI and Wanfang) for randomised controlled trials in Chinese and English on Tai chi improving sleep quality in the older people. Data extraction and verification were performed by two independent researchers. Additionally, a meta-analysis of the mean difference (MD) and 95% confidence interval (CI) was conducted using RevMan 5.4.

resultsA total of nine randomised controlled trials involving 1,166 older participants were included. Compared with the control group, Tai chi significantly reduced the total Pittsburgh Sleep Quality Index (PSQI) scores in the older people [MD =  - 1.53, 95% CI (- 2.18, - 0.89), p < 0.001], with heterogeneity results Q = 53.63, df = 12, and I

conclusionOlder individuals engaging in at least 150 min per week of Tai chi practice can improve sleep quality. Beyond this threshold, extending the duration of individual practice sessions or the exercise programme does not yield additional benefits for sleep quality.

Indexed as

SleepSleep QualityTai JiAgedHumansRandomized Controlled Trials as TopicExercise durationNon-pharmacological interventionOlder adultsSleep improvementTai chi

Identifiers

What OpenQuestion holds

Textmetadata
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.