Diaphragmatic Training for Nonspecific Low Back Pain: A Systematic Review and Meta-analysis.

Arch Phys Med RehabilMar 9, 2026 (epub)

Hai Wei Li, Chen Jia, Yu Xiang Yang et al.

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In 30 seconds

This systematic review and meta-analysis assessed randomized trials of diaphragmatic training, alone or alongside other therapies, in adults with nonspecific low back pain. Thirteen studies involving 626 participants were included. Compared with control interventions, training likely reduced pain intensity (standardized mean difference=-0.60; 95% confidence interval=-0.86 to -0.34; 11 trials, n=465) and improved functional disability (standardized mean difference=-0.71; 95% confidence interval=-0.90 to -0.53; 9 trials, n=469), both with moderate-certainty evidence. Evidence for changes in diaphragmatic thickness was very uncertain.

Key findings

  • Pain intensity was likely lower with diaphragmatic training than control interventions (standardized mean difference=-0.60; 95% confidence interval=-0.86 to -0.34; 11 trials, n=465).
  • Functional disability likely improved with training (standardized mean difference=-0.71; 95% confidence interval=-0.90 to -0.53; 9 trials, n=469).
  • Evidence for changes in diaphragmatic thickness was of very low certainty.
  • Subgroup analyses suggested better pain outcomes typically occurred with 2-3 sessions/wk.

Why it matters

The review synthesizes randomized-trial evidence that diaphragmatic training may benefit both pain and function in adults with nonspecific low back pain. The moderate certainty of these findings makes the approach relevant as a possible component of rehabilitation, while the very uncertain evidence on diaphragm thickness cautions against treating that measure as an established outcome of training.

What to keep in mind

Evidence for diaphragmatic thickness was of very low certainty. The authors state that trials with longer follow-up are needed to clarify effects on thickness and the influence of training parameters.

Source

Published in Arch Phys Med Rehabil. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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