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Mind-body training improves upper-limb function after stroke, optimal dose near 33.5 hoursMind body training improves arm function for stroke survivors

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Key Takeaway
Consider mind-body training (e.g., Tai Chi) for post-stroke upper-limb rehabilitation, aiming for ~33.5 total hours.

This meta-analysis of 16 randomized controlled trials involving 769 participants evaluated the effects of mind-body training (MBT), including Tai Chi, on upper-limb function in patients with stroke. The primary outcome was upper-limb function, with secondary outcomes including optimal intervention dosage and factors influencing outcomes.

The pooled analysis showed a significant improvement in upper-limb function with MBT compared to control (SMD=0.65, 95% CI 0.40–0.91, P<0.001). Larger effects were observed in subacute patients (SMD=0.95) and with Tai Chi interventions (SMD=0.99). A nonlinear dose-response analysis suggested an inverted U-shaped relationship, with optimal cumulative duration of approximately 33.5 hours (range: 32–35 h).

Limitations include high heterogeneity (I2=87.3%), which reduces certainty. The optimal dose finding is based on a nonlinear analysis and requires confirmation in future stage-stratified RCTs. Adverse events were not reported.

Practice relevance: MBT effectively enhances upper-limb function in stroke patients, with optimal results at approximately 33.5 total hours of training. However, clinicians should interpret these findings as moderate-certainty evidence given the heterogeneity.

How this fits prior evidence

This meta-analysis extends prior coverage of post-stroke interventions by demonstrating that mind-body training (MBT) significantly improves upper-limb function (SMD=0.65), similar in magnitude to brain-computer interface training for global cognition (SMD=0.62) and rTMS for upper limb motor function. Unlike rTMS, which has limited evidence quality, MBT is supported by moderate-certainty evidence from 16 RCTs. The optimal dose finding (33.5 h) addresses a gap not covered by prior acupuncture or tirofiban studies.

Recovering from a stroke is a long journey, and regaining the use of one's arms and hands is a major milestone. New research looks at how mind body training (MBT) affects this recovery. This type of training includes practices like Tai Chi to help patients regain strength and movement.

The study looked at 769 people who had suffered a stroke. The results showed that those who practiced mind body training saw significant improvements in their upper limb function. Specifically, the researchers found even stronger results for patients in the subacute phase of recovery and those who specifically practiced Tai Chi.

While the results are promising, there is still some uncertainty. Because different programs were used across various studies, the data has high variety. Also, while a specific amount of training—about 33.5 hours—was linked to better results, researchers note that this specific timing needs more testing in future trials to be fully confirmed.

What this means for you:
Mind body exercises like Tai Chi can significantly improve arm function for people recovering from a stroke.

Common questions

Can Tai Chi help after a stroke?

Yes, the study found that Tai Chi interventions led to larger effects in improving upper limb function. This means it can be an effective way for stroke patients to work on regaining movement and strength in their arms.

How much training is needed to see results?

The research suggests an optimal amount of training is approximately 33.5 hours. However, because this finding comes from a complex analysis, experts say more specific trials are needed to confirm this exact timeframe.

Who specifically benefits from these exercises?

The study included 769 participants who had suffered a stroke. It found particularly large improvements for patients in the subacute phase of recovery, which is the period shortly after the initial stroke occurs.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedJun 2026
View Original Abstract ↓
This systematic review and meta-analysis examined the effects of mind-body training (MBT) on upper-limb function in patients with stroke. A Bayesian dose-response model and an XGBoost-SHAP analysis were used to assess the optimal intervention dosage and to determine key factors influencing outcomes. PubMed, Web of Science, PsycINFO, and the Cochrane Library were searched from their inception to January 10, 2026, for randomized controlled trials. Effect sizes were calculated as standardized mean differences (SMDs). Risk of bias was assessed using ROB2. Analyses included Egger's test, trim-and-fill, sensitivity analysis, subgroup analysis, meta-regression, trial sequential analysis, and Bayesian hierarchical dose-response modeling. XGBoost-SHAP was used for exploratory analysis of predictors. Eighteen RCTs were included, of which 16 contributed to the meta-analysis (769 participants). After removing influential studies, MBT significantly improved upper-limb function (SMD = 0.65, 95% CI 0.40–0.91, P < 0.001). Heterogeneity was high (I2 = 87.3%), but Egger's test indicated no publication bias (P = 0.753). GRADE assessment showed moderate-certainty evidence. Exploratory subgroup analyses suggested larger effects in studies involving subacute patients (SMD = 0.95) and Tai Chi interventions (SMD = 0.99). Nonlinear dose-response analysis revealed an inverted U-shaped relationship, with an optimal cumulative duration of about 33.5 h (range: 32–35 h), corresponding to 5 sessions per week × 30 min × 14–15 weeks. Exploratory XGBoost-SHAP analysis indicated that patient type had the highest relative importance among the study-level predictors included. Moderate-certainty evidence indicates that MBT effectively enhances upper-limb function in stroke patients, with the best results seen at around 33.5 total h. A schedule of 30-min sessions, five times a week for 14–15 weeks, may provide preliminary guidance for future dose-stratified trials and clinical planning, particularly in studies involving subacute-stage patients, although this finding should be confirmed in future stage-stratified RCTs. https://www.crd.york.ac.uk/PROSPERO/view/CRD420261334249, identifier: CRD420261334249.
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