Sleepwell supported · human data

Tai chi helps people with insomnia sleep better, and lifts mood too

Pooled results from randomised trials found Tai chi improved sleep quality in people with insomnia, lowering Pittsburgh Sleep Quality Index scores by 1.75 points, and also reduced depression and anxiety scores.

Compiled by FitTools from the study cited below

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Added to Pulse 8 October 2026

Study design
Meta-analysis
Evidence
well supported
Published
8 October 2026

Key takeaway

What it shows: Promising but imperfect: results pooled from several randomised trials of people with insomnia all pointed the same way. Participants inevitably knew they were practising Tai chi and many trials described their methods thinly, so expectation could explain part of the benefit.

Study details

Design
Meta-analysis
Authors
Yang M, Yang J, Gong M, Luo R, Lin Q, Wang B, et al.
Journal
Int J Environ Res Public Health
Published
2023
Added to Pulse
8 October 2026

Why it matters

Insomnia rarely travels alone: it is tightly bound up with depression and anxiety, and each can feed the others. That makes approaches which might improve sleep and mood together particularly interesting. Tai chi, a slow, flowing Chinese practice combining movement, balance and focused attention, has been studied as exactly that kind of intervention, but the individual trials have been scattered across Western and Chinese literature. This review set out to pull those randomised trials together and ask whether the practice genuinely improves sleep quality in people with insomnia, and whether it shifts depression and anxiety alongside.

What they did

The reviewers searched eight electronic databases, including PubMed, the Cochrane Library, Web of Science, Embase and four major Chinese databases, for randomised controlled trials of Tai chi in patients with insomnia. They assessed the methodological quality of each included trial using standard risk-of-bias criteria, then pooled the results as weighted mean differences with 95% confidence intervals. Outcomes covered sleep quality measured by the Pittsburgh Sleep Quality Index, depression measured by the Hamilton depression scale, and anxiety measured by both the Hamilton anxiety scale and the self-rating anxiety scale.

What they found

Tai chi reduced Pittsburgh Sleep Quality Index scores by 1.75 points, a statistically clear improvement in sleep quality. Mood measures moved too: Hamilton depression scores fell by 5.08 points, Hamilton anxiety scores by 2.18 points, and self-rated anxiety scores by 7.01 points. All of these changes favoured Tai chi. The authors note two important weaknesses, however: many trials reported their randomisation procedures only vaguely, and blinding participants to an exercise intervention is essentially impossible, both of which could inflate the apparent benefits.

Where it fits

This adds to a growing body of evidence that mind-body movement practices can influence sleep and mental well-being together, rather than treating each in isolation. The direction of effect was consistent across sleep, depression and anxiety outcomes, which strengthens the overall picture. But the quality concerns are real: thinly described methods and unavoidable lack of blinding mean the true size of the benefit is uncertain. The authors themselves call for larger, multi-centre, higher-quality trials before the results can be considered settled.

What it means for you

For someone whose sleep problems come bundled with low mood or a racing mind, this is a reason to see gentle structured movement as a credible option worth knowing about, not just a pleasant pastime. The pooled trials suggest Tai chi shifted sleep quality and emotional measures together, which is precisely the combination many people with insomnia are looking for. It is low-impact and carries little obvious downside, though how much of the benefit is the practice itself versus the expectation of benefit remains genuinely unknown.

The source

Effects of Tai Chi on Sleep Quality as Well as Depression and Anxiety in Insomnia Patients: A Meta-Analysis of Randomized Controlled Trials. Int J Environ Res Public Health 2023

DOI: 10.3390/ijerph20043074

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