TechSAge Tele Tai Chi for People Aging With Mobility Disabilities
1 other identifier
interventional
60
1 country
1
Brief Summary
This study uses videoconferencing to deliver an evidence-based exercise program, Seated Tai Chi for Arthritis, to adults aging with long-term mobility disabilities. In the 8-week Tele Tai Chi intervention, participants will use a tablet or computer to join a small-group, online class (1hr, twice weekly) from home; during each session, participants will exercise as a group along with the pre-recorded video lessons and have the opportunity for social interaction (via video chat) before and after class. The study will examine the effects of the Tele Tai Chi program on physical activity and social connectedness for adults aging with long-term mobility disabilities, a population likely to experience barriers to exercise participation.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Feb 2021
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 15, 2020
CompletedFirst Posted
Study publicly available on registry
January 6, 2021
CompletedStudy Start
First participant enrolled
February 22, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 3, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
October 3, 2023
CompletedOctober 17, 2023
October 1, 2023
2.6 years
December 15, 2020
October 16, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Physical activity
Change in physical activity (mode, frequency, duration, intensity) as measured by the leisure activity dimension of the Physical Activity Scale for Persons with Physical Disabilities1, a self-report measure of physical activity (Range 0-98.67; Higher score means greater physical activity. Lower score means less physical activity). Self-report completion of Tai Chi practice (Range 1-4; Higher score indicates greater frequency of practice. Lower score indicates less frequent of practice).
Baseline, Week 1-8 of intervention, Post-Intervention (8 week assessment), 1 month follow-up
Social connectedness
Change in perception of social connectedness (loneliness), as measured by the UCLA Loneliness Scale (ULS-8)3 (Range 8-32; Higher score indicates a greater degree of loneliness. Lower score reflects a lower degree of loneliness), Social Isolation Questionnaire4 (Social Disconnectedness Scale, Social Isolation Scale, Perceived Social Isolation scale; Range 15-67; Higher score indicates a greater degree of loneliness. Lower score reflects a lower degree of loneliness).
Baseline, Post-Intervention (8 week assessment), 1 month follow-up
Secondary Outcomes (5)
Exercise Self-Efficacy
Baseline, Post-Intervention (8 week assessment), 1 month follow-up
Falls Efficacy
Baseline, Post-Intervention (8 week assessment), 1 month follow-up
Depression
Baseline, Post-Intervention (8 week assessment), 1 month follow-up
Quality of Life (QOL)
Baseline, Post-Intervention (8 week assessment), 1 month follow-up
Pain Interference
Baseline, PPost-Intervention (8 week assessment), 1 month follow-up
Other Outcomes (2)
Technology Acceptance
Baseline, Post-Intervention (8 week assessment)
Physical Activity Class Satisfaction
Post-Intervention (8 week assessment)
Study Arms (1)
Tele Tai Chi
EXPERIMENTAL8-week Tele Tai Chi intervention
Interventions
• 8-week Tele Tai Chi intervention, participants will use a tablet or computer to join a small-group, online class (1hr, twice weekly) from home; during each session, participants will exercise as a group along with the pre-recorded video lessons and have the opportunity for social interaction (via video chat) before and after class.
Eligibility Criteria
You may qualify if:
- Be between the ages of 60-80
- Self-identify as having a mobility disability, use a mobility aid (i.e., cane, crutches, wheelchair, walker, or scooter) or have serious difficulty walking or climbing stairs
- Mobility disability for at least 10 years
- Passing score on Physical Activity Readiness Questionnaire (PAR-Q) or letter from physician stating approved to participate in the intervention
- Passing score on Telephone Interview for Cognitive Status (TICS)-score 26 and above included
- Passing score of brief Technology Proficiency Screen (e.g., be able to do send and receive email)
- Have access to a webcam on computer or tablet
- Plan to have internet access for six months from screening
- Live in the US
- Be conversational in English
- Available to attend 1 hr online class 2x a week for 8 weeks
You may not qualify if:
- Blind or deaf
- Significant Tai Chi practice during the past 6 months
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Georgia Institute of Technologylead
- University of Illinois at Urbana-Champaigncollaborator
- University of Georgiacollaborator
- Tai Chi for Health Institutecollaborator
- National Institute on Disability, Independent Living, and Rehabilitation Researchcollaborator
Study Sites (1)
Center for Inclusive Design and Innovation
Atlanta, Georgia, 30318, United States
Related Publications (15)
Washburn RA, Zhu W, McAuley E, Frogley M, Figoni SF. The physical activity scale for individuals with physical disabilities: development and evaluation. Arch Phys Med Rehabil. 2002 Feb;83(2):193-200. doi: 10.1053/apmr.2002.27467.
PMID: 11833022RESULT2Cunningham, G. B. (2020). Development of the Physical Activity Class Satisfaction Questionnaire (PACSQ). Measurement in Physical Education and Exercise Science, 11(3), 161-176.
RESULTHays RD, DiMatteo MR. A short-form measure of loneliness. J Pers Assess. 1987 Spring;51(1):69-81. doi: 10.1207/s15327752jpa5101_6.
PMID: 3572711RESULTCornwell EY, Waite LJ. Measuring social isolation among older adults using multiple indicators from the NSHAP study. J Gerontol B Psychol Sci Soc Sci. 2009 Nov;64 Suppl 1(Suppl 1):i38-46. doi: 10.1093/geronb/gbp037. Epub 2009 Jun 9.
PMID: 19508982RESULTKroll T, Kehn M, Ho PS, Groah S. The SCI Exercise Self-Efficacy Scale (ESES): development and psychometric properties. Int J Behav Nutr Phys Act. 2007 Aug 30;4:34. doi: 10.1186/1479-5868-4-34.
PMID: 17760999RESULTTinetti ME, Richman D, Powell L. Falls efficacy as a measure of fear of falling. J Gerontol. 1990 Nov;45(6):P239-43. doi: 10.1093/geronj/45.6.p239.
PMID: 2229948RESULTFinlayson M, Peterson EW, Cho C. Pilot study of a fall risk management program for middle aged and older adults with MS. NeuroRehabilitation. 2009;25(2):107-15. doi: 10.3233/NRE-2009-0505.
PMID: 19822941RESULTWalker JE, Howland J. Falls and fear of falling among elderly persons living in the community: occupational therapy interventions. Am J Occup Ther. 1991 Feb;45(2):119-22. doi: 10.5014/ajot.45.2.119.
PMID: 2035588RESULTPilkonis PA, Choi SW, Reise SP, Stover AM, Riley WT, Cella D; PROMIS Cooperative Group. Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS(R)): depression, anxiety, and anger. Assessment. 2011 Sep;18(3):263-83. doi: 10.1177/1073191111411667. Epub 2011 Jun 21.
PMID: 21697139RESULTSiebens HC, Tsukerman D, Adkins RH, Kahan J, Kemp B. Correlates of a Single-Item Quality-of-Life Measure in People Aging with Disabilities. Am J Phys Med Rehabil. 2015 Dec;94(12):1065-74. doi: 10.1097/PHM.0000000000000298.
PMID: 25888654RESULTAmtmann D, Cook KF, Jensen MP, Chen WH, Choi S, Revicki D, Cella D, Rothrock N, Keefe F, Callahan L, Lai JS. Development of a PROMIS item bank to measure pain interference. Pain. 2010 Jul;150(1):173-182. doi: 10.1016/j.pain.2010.04.025.
PMID: 20554116RESULTDavis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
RESULTVenkatesh, V. (2000). Determinants of perceived ease of use: Integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model. Information Systems Research, 11, 342-365.
RESULTVenkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
RESULTRemillard ET, Mitzner TL, Mumma KT. Tele Tai Chi for people aging with mobility disabilities: Novel methodology and structured adaptation approach. Contemp Clin Trials Commun. 2025 Aug 28;47:101543. doi: 10.1016/j.conctc.2025.101543. eCollection 2025 Oct.
PMID: 40969304DERIVED
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Senior Research Scientist
Study Record Dates
First Submitted
December 15, 2020
First Posted
January 6, 2021
Study Start
February 22, 2021
Primary Completion
October 3, 2023
Study Completion
October 3, 2023
Last Updated
October 17, 2023
Record last verified: 2023-10