CClinicalTrials.gg
CompletedNCT04696887Updated Oct 17, 2023

TechSAge Tele Tai Chi for People Aging With Mobility Disabilities

An interventional study of Tele Tai Chi Intervention for Persons Aging with Long-Term Mobility Disabilities in Aging and Disability Physical, sponsored by Georgia Institute of Technology. Completed at 1 site in United States. Open to participants aged 60 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-10-17.

Sponsored by Georgia Institute of Technology · Not applicable, Interventional, and Supportive care

Phase
Not applicable
Study type
Interventional
Enrollment
60
Allocation
Not applicable
Ages
60 Years to 80 Years
Sex
All
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Study 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.

Read the detailed description

This study is part of the Rehabilitation Engineering Research Center on Technologies to Support Aging-in-Place for People with Long-Term Disabilities (RERC TechSAge). This study uses videoconferencing to translate an evidence-based exercise program for older adults, Seated Tai Chi for Arthritis, from an in-person setting to a remote class and to a different population, adults aging with 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 (primary outcomes), as well as exercise self-efficacy, falls efficacy, depression, quality of life, and pain (secondary outcomes) for adults aging with long-term mobility disabilities, a population likely to experience barriers to in-person exercise participation.

02

Conditions studied

  • Aging
  • Disability Physical

Keywords

  • mind-body exercise
  • tai chi
  • technology
03

In context

Lead sponsor

Georgia Institute of Technology is the lead sponsor of 24 studies on the registry; 5 are open to participants now.

Of its 9 completed or terminated interventional studies of FDA-regulated products, 7 (78%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
60 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • 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

Exclusion criteria

Exclusion Criteria:

  • Blind or deaf
  • Significant Tai Chi practice during the past 6 months
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Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
60 participants (actual)

Study arms

  • Experimental
    Tele Tai Chi

    8-week Tele Tai Chi intervention

    Behavioral: Tele Tai Chi Intervention for Persons Aging with Long-Term Mobility Disabilities

Interventions

  • BehavioralTele Tai Chi Intervention for Persons Aging with Long-Term Mobility Disabilities

    • 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.

    Also known as: Seated Tai Chi for Arthritis

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What researchers measure

Primary outcomes

  1. 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).

    Time frame: Baseline, Week 1-8 of intervention, Post-Intervention (8 week assessment), 1 month follow-up

  2. 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).

    Time frame: Baseline, Post-Intervention (8 week assessment), 1 month follow-up

Secondary outcomes

  1. Exercise Self-Efficacy

    Change in confidence in being able to exercise, as measured by the Exercise Self-Efficacy Scale (ESES) Scale5. A higher score indicates a greater confidence in being able to exercise. A lower score reflects less confidence in being able to exercise. Range (10-40).

    Time frame: Baseline, Post-Intervention (8 week assessment), 1 month follow-up

  2. Falls Efficacy

    Change in confidence in being able to engage in activities without falling, as measured by the Falls Efficacy Scale6 (Range 10-100; Lower score indicates greater confidence in being able to engage in activities without falling. Higher score reflects less confidence in being able to engage in activities without falling; Total score of greater than 70 indicates that the person has a fear of falling), and a 3-item indicator of fear of falling (adapted from7-8; Range 0-5; Lower score indicates less fear of falling. Higher score reflects greater fear of falling).

    Time frame: Baseline, Post-Intervention (8 week assessment), 1 month follow-up

  3. Depression

    Change in emotional distress (depression), as measured by the PROMIS Emotional Distress - Depression - Short Form9. Higher score means greater emotional distress. A lower score means less emotional distress. Range (8-40).

    Time frame: Baseline, Post-Intervention (8 week assessment), 1 month follow-up

  4. Quality of Life (QOL)

    Change in self-reported quality of life, as measured by the Kemp Quality of Life single item scale10. Higher score means higher quality of life. A lower score means lower quality of life. Range (1-7).

    Time frame: Baseline, Post-Intervention (8 week assessment), 1 month follow-up

  5. Pain Interference

    Change in pain interference, as measured the PROMIS Pain Interference - Short Form11. Higher score means greater pain interference. A lower score means less pain interference. Range (4-20).

    Time frame: Baseline, PPost-Intervention (8 week assessment), 1 month follow-up

Other outcomes

  1. Technology Acceptance

    Change in technology acceptance, as measured the Technology Acceptance Questionnaire (modified12,13,14). Higher score means greater technology acceptance. A lower score means less greater technology acceptance. Range (20-140).

    Time frame: Baseline, Post-Intervention (8 week assessment)

  2. Physical Activity Class Satisfaction

    Class Satisfaction as measured by the dimensions of mastery experience, teaching, interaction with others, improvement of health and fitness, and relaxation from the Physical Activity Class Satisfaction Questionnaire2, a self-report measure of satisfaction related to exercise classes (Range 22-176); Higher score means greater satisfaction with physical activity class.

    Time frame: Post-Intervention (8 week assessment)

07

Study locations

1 site
  • Center for Inclusive Design and Innovation
    Atlanta, Georgia 30318, United States
08

References and documents

Publications

  • 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. PubMed 11833022 ↗
  • 2Cunningham, G. B. (2020). Development of the Physical Activity Class Satisfaction Questionnaire (PACSQ). Measurement in Physical Education and Exercise Science, 11(3), 161-176.
  • Hays RD, DiMatteo MR. A short-form measure of loneliness. J Pers Assess. 1987 Spring;51(1):69-81. doi: 10.1207/s15327752jpa5101_6. PubMed 3572711 ↗
  • Cornwell 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. PubMed 19508982 ↗
  • Kroll 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. PubMed 17760999 ↗
  • Tinetti 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. PubMed 2229948 ↗
  • Finlayson 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. PubMed 19822941 ↗
  • Walker 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. PubMed 2035588 ↗
  • Pilkonis 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. PubMed 21697139 ↗
  • Siebens 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. PubMed 25888654 ↗
  • Amtmann 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. PubMed 20554116 ↗
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
  • Venkatesh, 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.
  • Venkatesh, 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

Individual participant data

Plan to share: Undecided

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 17, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04696887
Lead sponsor
Georgia Institute of Technology
Collaborators
University of Illinois at Urbana-Champaign, University of Georgia, Tai Chi for Health Institute, National Institute on Disability, Independent Living, and Rehabilitation Research
Responsible party
Tracy Mitzner (Senior Research Scientist, Georgia Institute of Technology) — Principal investigator
First posted
Jan 6, 2021
Start date
Feb 22, 2021
Primary completion
Oct 3, 2023
Completion
Oct 3, 2023
Last update
Oct 17, 2023

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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