Evidence map›Paper›PMID 40957073›Full record

Trial reportJournal of medical Internet research2025

Effects of Tai Chi on Cognitive Function in Older Adults With Type 2 Diabetes Mellitus: Randomized Controlled Trial Using Wearable Devices in a Mobile Health Model.

Xi-Shuang Chen, Hui-Zhen Liu, Jingxian Fang, Sui-Jun Wang, Yue-Xia Han, Jian Meng, Yu Han, Hui-Ming Zou, Qing Gu, Xue Hu and 2 more

RetractedAbstract readRandomized Controlled TrialRetracted Publication
In one paragraph

Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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. Article
  3. Review
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Xi-Shuang ChenYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0009-1998-4488
Hui-Zhen LiuYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0003-1398-4934
Jingxian FangYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0003-7157-4749
Sui-Jun WangYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0001-3555-0235
Yue-Xia HanYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0003-0888-4357
Jian MengYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0008-3888-0409
Yu HanYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0000-8517-8892
Hui-Ming ZouYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0008-5053-4576
Qing GuYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0008-3346-4377
Xue HuYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0008-2906-4442
Qian-Wen MaYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0002-1575-9805
Fang HuangYangpu District Shidong Hospital of Shanghai, No.999, Shiguang Road, Yangpu District, Shanghai, 200438, China, 86 25066666.ORCID http://orcid.org/0009-0003-9470-7348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine is an effective and promising strategy, especially for the initial stages of a home-based therapeutic exercise program. Objective: The objectives of this study were 2-fold: first, to assess whether Tai Chi practice combined with wearable device-based monitoring improves cognitive function in this population, and second, to explore the underlying mechanisms for any improvements observed, including changes in physical activity levels and sleep patterns. Methods: The study was a randomized controlled trial in which participants were randomized (1:1:1) to receive usual care, fitness walking, or Tai Chi exercise. All indicators were assessed at baseline and 12-week follow-up. The usual care includes traditional diabetes education. Participants in the fitness walking group performed walking exercises on a treadmill under the supervision of a researcher 3 times a week for 12 weeks. Participants in the Tai Chi group practiced 24-style Simplified Tai Chi through live video streaming under the guidance of professors and professionals. In this 12-week program, participants underwent continuous glucose monitoring (CGM) using Guardian Sensors 3, CGM sensors attached to the upper arm. All participants carried bracelets to record their heart rate, sleep parameters, and steps. The primary outcome was the Montreal Cognitive Assessment (MoCA) at 12 weeks. Secondary outcomes included other cognitive subdomain tests and blood metabolic indices. The MoCA is a tool designed for rapid screening for mild cognitive impairment (MCI) and early dementia, with the core advantage of being more sensitive to early cognitive problems. The MoCA has a total score of 30. Lower scores may indicate the presence of cognitive dysfunction. Results: After 12 weeks of intervention, the Tai Chi exercise group showed a significant improvement in MoCA scores from baseline (mean difference 23.83, 95% CI 17.79-25.66 vs 21.42, 95% CI 17.11-24.74; P=.03). The fitness walking exercise group showed an improvement in MoCA scores (22.94, 95% CI 18.05-23.98 vs 21.58, 95% CI 17.35-24.12; P.08), but this did not reach statistical significance. Furthermore, there was a statistical difference in the improvement of MoCA scores between the Tai Chi and fitness walking groups (2.65, 95% CI 0.34-4.41 vs 1.44, 95% CI 0.89-2.87; P<.05). The usual care group showed the least change in score at both points (0.23, 95% CI -0.02 to 1.39; P=.83). Compared with the MQ in the fitness walking group (91.93, 95% CI 77.83-97.47) vs 88.62, 95% CI 77.14-95.84; P=.45), Trail Making Test Part B (TMT-B) (220.81, 95% CI 210.03-233.49 vs 223.66, 95% CI 215.04-230.27; P=.33), the Tai Chi group was more effective in improving the MQ (99.23, 95% CI 80.55-107.69 vs 89.23, 95% CI 78.16-96.08; P=.001), TMT-B (207.33, 95% CI 200.26-220.82 vs 225.58, 95% CI 214.12-234.94; P=.001) scores, and there were significant differences between the two groups. Conclusions: In summary, this study demonstrated that web-based exercise therapy for patients may enhance the effectiveness of exercise therapy in improving cognitive function among older individuals with type 2 diabetes mellitus. Tai Chi has significant advantages in improving cognitive function and sleep quality, while fitness walking, although also beneficial, is relatively weak in these areas.

Indexed as

CognitionDiabetes Mellitus, Type 2Tai JiWearable Electronic DevicesAgedExerciseFemaleHumansMaleMiddle AgedSleepTelemedicineWalking24-style Tai Chifitness walkingmHealth modelMontreal Cognitive Assessment (MoCA)T2DMtype 2 diabetes mellitus

Identifiers

PMID40957073
PMCPMC12440321

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.