The Effect of a Technology-Mediated Integrated Walking and Tai Chi Intervention on Physical Function in Veterans With COPD and Chronic Musculoskeletal Pain

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age40-100
SponsorVA Office of Research and Development

About this trial

Persons with COPD benefit from being physically active, but they are often limited by chronic musculoskeletal pain. This project will determine whether a non-pharmacologic, integrated, technology-mediated walking and Tai Chi mindfulness intervention can improve physical function in Veterans with COPD and chronic musculoskeletal pain. The proposed research addresses VA Rehabilitation R\&D Service's high priority area of improving health-related quality of life by reducing disease burden and maximizing function in Veterans with chronic disease.

Eligibility criteria

Qualifiers

Male and female participants, aged 40 and older

Clinical diagnosis of COPD defined as history of cigarette consumption of > 10 pack-years, and either a ratio of forced expiratory volume in one second (FEV1) to forced vital capacity (FVC) < 0.70 or chest computerized tomography (CT) evidence of emphysema*

Numeric Rating Scale pain score > 3 for > 3 months

Self-reported ability to walk a minimum of one block, bend at the hip, and transfer weight from one leg to another

Disqualifiers

COPD exacerbation in the previous 1 month

Clinical signs of unstable cardiovascular disease (active coronary artery disease, congestive heart failure, uncontrolled atrial fibrillation, or uncontrolled hypertension)

Oxygen saturation < 85% recorded on baseline 4-meter walk*

High fall risk (unable to perform 5 chair stand tests)

Trial design

Treatments tested in this trial

  • Every Step Counts-Tai Chi
  • Usual Care

Treatment groups

136 Participants
are divided into 2 treatment groups

Sponsors and collaborators

VA Office of Research and Development

Lead sponsor

University of Michigan

Collaborator

Beth Israel Deaconess Medical Center

Collaborator