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Impact of Tai Chi exercise on multiple fracture-related risk factors in post-menopausal osteopenic women: a pilot pragmatic, randomized trial.

Peter M Wayne | Douglas P Kiel | Julie E Buring | Ellen M Connors | Paolo Bonato | Gloria Y Yeh | Calvin J Cohen | Chiara Mancinelli | Roger B Davis
BMC complementary and alternative medicine | 2012

Tai Chi (TC) is a mind-body exercise that shows potential as an effective and safe intervention for preventing fall-related fractures in the elderly. Few randomized trials have simultaneously evaluated TC's potential to reduce bone loss and improve fall-predictive balance parameters in osteopenic women.

Pubmed ID: 22289280

Research resources used in this publication

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Associated grants

  • Agency: NCCIH NIH HHS, United States
    Id: R21 AT003503
  • Agency: NCCIH NIH HHS, United States
    Id: U19 AT002022

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ClinicalTrials.gov (tool)

RRID:SCR_002309

Registry and results database of federally and privately supported clinical trials conducted in United States and around world. Provides information about purpose of trial, who may participate, locations, and phone numbers for more details. This information should be used in conjunction with advice from health care professionals.Offers information for locating federally and privately supported clinical trials for wide range of diseases and conditions. Research study in human volunteers to answer specific health questions. Interventional trials determine whether experimental treatments or new ways of using known therapies are safe and effective under controlled environments. Observational trials address health issues in large groups of people or populations in natural settings. ClinicalTrials.gov contains trials sponsored by National Institutes of Health, other federal agencies, and private industry. Studies listed in database are conducted in all 50 States and in 178 countries.

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Harvard University; Cambridge; United States (tool)

RRID:SCR_011273

Institution of higher education in the United States. Private Ivy League research university in Cambridge, Massachusetts.

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POWER (tool)

RRID:SCR_009057

Windows-based program for computation of sample size and power for binary outcome studies (case-control and cohort studies) based on a logistic-like regression model with one covariate or two covariates (e.g., gene-exposure interactions). (entry from Genetic Analysis Software)

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