The novel effectiveness of Tai Chi on cardiopulmonary fitness among stroke patients in the recovery phase: a study protocol for a randomized controlled trial

Tan, Tianyang; Meng, Yanyan; Li, Xinyu; Bai, Ru; Wang, Chengchao; Lyu, Jiaxuan; Yan, Kang; Li, Meng; Zhang, Chaoyang; Wei, Yulong

doi:10.1186/s13063-021-05565-2

Cited by 3 publications

(1 citation statement)

References 39 publications

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“…Therefore its safety has been well evaluated 3 4. Recent studies indicate that Tai Chi improves cardio-pulmonary function5 6 and prevents elders from falling 7 8. In patients with knee osteoarthritis (KOA), Tai Chi effectively enhances their strength, balance9 10 and proprioception,11 thereby alleviating knee joint stiffness and pain 12…”

Section: Introductionmentioning

confidence: 99%

Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach

Xing,

Su,

Liu

et al. 2023

BMJ Open

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ObjectiveTo build a supervised machine learning-based classifier, which can accurately predict whether Tai Chi practitioners may experience knee pain after years of exercise.DesignA prospective approach was used. Data were collected using face-to-face through a self-designed questionnaire.SettingSingle centre in Shanghai, China.ParticipantsA total of 1750 Tai Chi practitioners with a course of Tai Chi exercise over 5 years were randomly selected.MeasuresAll participants were measured by a questionnaire survey including personal information, Tai Chi exercise pattern and Irrgang Knee Outcome Survey Activities of Daily Living Scale. The validity of the questionnaire was analysed by logical analysis and test, and the reliability of this questionnaire was mainly tested by a re-test method. Dataset 1 was established by whether the participant had knee pain, and dataset 2 by whether the participant’s knee pain affected daily living function. Then both datasets were randomly assigned to a training and validating dataset and a test dataset in a ratio of 7:3. Six machine learning algorithms were selected and trained by our dataset. The area under the receiver operating characteristic curve was used to evaluate the performance of the trained models, which determined the best prediction model.ResultsA total of 1703 practitioners completed the questionnaire and 47 were eliminated for lack of information. The total reliability of the scale is 0.94 and the KMO (Kaiser-Meyer-Olkin measure of sampling adequacy) value of the scale validity was 0.949 (>0.7). The CatBoost algorithm-based machine-learning model achieved the best predictive performance in distinguishing practitioners with different degrees of knee pain after Tai Chi practice. ‘Having knee pain before Tai Chi practice’, ‘knee joint warm-up’ and ‘duration of each exercise’ are the top three factors associated with pain after Tai Chi exercise in the model. ‘Having knee pain before Tai Chi practice’, ‘Having Instructor’ and ‘Duration of each exercise’ were most relevant to whether pain interfered with daily life in the model.ConclusionCatBoost-based machine learning classifier accurately predicts knee pain symptoms after practicing Tai Chi. This study provides an essential reference for practicing Tai Chi scientifically to avoid knee pain.

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Section: Introductionmentioning

confidence: 99%

Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach

Xing,

Su,

Liu

et al. 2023

BMJ Open

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Effect of Taichi Chuan on health-related physical fitness in adults: A systematic review with meta-analysis

Soh

Nasiruddin

et al. 2023

Complementary Therapies in Medicine

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The superiority trial of Baduanjin training on patients Chronic Low back pain: a study protocol for a randomized controlled trial

Tan,

Cao,

Liang

et al. 2024

Preprint

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Background CNSLBP accounts for 85% of all LBP cases and impairs physical health, quality of life, and work productivity, posing a significant health and economic burden. Baduanjin (BDJ) exercises are traditional Chinese Qi Gong mind-body exercises that have been practiced for over 1,000 years. However, the standard BDJ protocol established by the State Sports General Administration does not stimulate core muscles, limiting the effectiveness of low back pain rehabilitation. Therefore, it is necessary to improve the original BDJ protocol. Methods: This 24-week single‐center, single-blind, parallel-group randomized control superiority trial will allocate 100 patients into two groups (control and intervention) at a 1:1 ratio. The patients in the control group will perform the standard BDJ protocol established by the State Sports General Administration. The patients in the patients in the control group will perform the standard BDJ protocol established by the State Sports General Administration. The intervention group will perform intervention. The primary outcomes will be Quebec back pain disability scale. Secondary outcomes will include visual analog scale pain scores, Surface electromyography. The assessments of the tests will be performed at four time points. Adverse events will be recorded faithfully during the study. Discussion: This randomized control trial is the first to compare a standard BDJ protocol and an optimized protocol in patients with CNSLBP. This study can help guide rehabilitation programs. Trial registration: Chinese Clinical Trial Registry, ChiCTR2200065618, Registered on 10 Nov. 2022

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The novel effectiveness of Tai Chi on cardiopulmonary fitness among stroke patients in the recovery phase: a study protocol for a randomized controlled trial

Cited by 3 publications

References 39 publications

Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach

Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach

Effect of Taichi Chuan on health-related physical fitness in adults: A systematic review with meta-analysis

The superiority trial of Baduanjin training on patients Chronic Low back pain: a study protocol for a randomized controlled trial

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