Movement patterns in rheumatic and musculoskeletal diseases
- Conditions
- M00-M99Diseases of the musculoskeletal system and connective tissue
- Registration Number
- DRKS00033076
- Lead Sponsor
- niversitätsklinikum Erlangen, Medizinische Klinik 3 - Rheumatologie & Immunologie
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 800
Patients with a diagnosis of inflammatory rheumatic diseases (e.g. rheumatoid arthritis, spondyloarthritis (psoriatic arthritis, axial spondyloarthritis), myositis, scleroderma, vasculitis)
- Patients with an increased risk of developing an inflammatory rheumatic disease (psoriasis, anti-CCP positive patients (preRA))
- Patients with degenerative joint diseases (osteoarthritis of the knee) and
- healthy controls
- Patients must be able to walk a specified distance (4 x 10 metres) or walking time (up to 2 minutes) independently, without assistance.
- Age = 18 years
- Written consent to study participation and data protection
- surgical interventions or osteoarthritis of the lower limbs, spinal disc herniation or other factors that could influence gait
- Patients who are dependent on walking aids, wheelchairs or assistance when walking.
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Space-time parameters of walking (double step duration, double step length, cadence, number of steps, gait speed), ankle, knee and hip joint angles, walking distance (2 min walk test), physical activity (IPAQ), diagnosis
- Secondary Outcome Measures
Name Time Method Association of primary outcome measures with clinical routine and corresponding rheumatic disease (e.g. DAS-28, PSAID, RAID, MASES, BASMI, BASDAI, routine laboratory parameters, joint status) as well as patient well-being (e.g. SF-36, HAQ), physical activity-related health literacy (PAHCO), chronic pain of neuropathic origin (PainDetect) and fear of pain (TSK).<br><br>In addition, past fractures, smoking status, menopausal status in women, medical history and dietary habits that could affect bone/cartilage health (injuries, medications, supplements).