Virtual Tai Chi in Older University Workers
Saguaro TaiChi
COVID-19 and University Re-entry/Reopening Strategies-- Addressing the Needs of Older Adults Using a Mixed Methods Approach.
1 other identifier
interventional
72
1 country
1
Brief Summary
This pilot, pragmatic behavioral intervention study was conducted during the COVID-19 pandemic. Participants aged 50+ were recruited from a university and assigned to immediate Tai Chi or a waitlist. Sessions were 3Ă—/week for 6 weeks via Zoom. Some crossover occurred after assignment (partial randomization). Outcomes at baseline, 6, and 12 weeks. Primary outcome: PSQI. Retrospectively registered due to pandemic conditions. The goal of this clinical trial is to determine whether the Tai Chi intervention improves sleep quality in older adults. The main questions it aims to answer are: Does the Tai Chi intervention change global and component PSQI scores, and does baseline mindfulness modify intervention effects? What medical problems do participants have during the study time period? Sleep disturbance, especially among older adults, is linked to declines in overall well-being. Tai Chi has been identified as a promising tool to improve sleep quality. Participants will:
- Enroll in a 6-week virtual Tai Chi program taught over Zoom.
- Participants took three 50-minute classes every week and got recorded videos to practice on their own.
- Half of the Participants started the classes right away, while a "waitlist" group had to wait 6 weeks before getting their turn with the exact same program.
- What They Measured: The researchers tracked everyone's progress at the very start, at 6 weeks, and at 12 weeks. They specifically measured sleep quality (using a standard questionnaire called the PSQI) and examined how mindful participants were when they first joined.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Oct 2020
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 5, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 30, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2021
CompletedFirst Submitted
Initial submission to the registry
July 10, 2026
CompletedFirst Posted
Study publicly available on registry
August 11, 2026
CompletedAugust 11, 2026
June 1, 2026
6 months
July 10, 2026
August 6, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Pittsburgh Sleep Quality Index (PSQI)
PSQI is a 19-item self-report questionnaire assessing sleep quality over the past month across seven components: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction. Each component is scored from 0 (no difficulty) to 3 (severe difficulty), yielding a global score range of 0 to 21. A global score \>5 indicates poor sleep quality.
PSQI was collected at Baseline, 6-weeks, and 12 weeks
Study Arms (2)
Intervention Group
EXPERIMENTALParticipants who receive the Tai Chi (BaFa WuBu) / Qigong (Ba Duan Jing) intervention immediately.
Waitlist Control
ACTIVE COMPARATORParticipants who receive the Tai Chi (BaFa WuBu) / Qigong (Ba Duan Jing) intervention 6 weeks after the Interventional arm receives the intervention.
Interventions
The virtual Tai Chi and Qigong intervention consisted of three 50-minute sessions per week for six weeks, led by three trained instructors. The sessions were delivered live online using Zoom. Sessions were held on Mondays, Wednesdays, and Fridays, and each class included 1) 10 minutes of warm-up; 2) 5 minutes of meditation; 3) 30 minutes of Tai Chi and Qigong practice; 4) 5 minutes of cool-down and summary.
Eligibility Criteria
You may qualify if:
- University Workers 50+ years of age
- Consented to study
You may not qualify if:
- Did not express interest in Tai Chi intervention
- Did not consent to study
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona
Tucson, Arizona, 85724, United States
Related Publications (3)
Lyu L, Li Y, Fan X, Seo J, Eunna O. The effect of Tai Chi exercise intervention on sleep quality in community residing older adults: a systematic review and meta-analysis. Eur Geriatr Med. 2024 Apr;15(2):381-396. doi: 10.1007/s41999-023-00923-6. Epub 2024 Jan 16.
PMID: 38227110BACKGROUNDMiner B, Kryger MH. Sleep in the Aging Population. Sleep Med Clin. 2020 Jun;15(2):311-318. doi: 10.1016/j.jsmc.2020.02.016.
PMID: 32386704BACKGROUNDNguyen V, George T, Brewster GS. Insomnia in Older Adults. Curr Geriatr Rep. 2019 Dec;8(4):271-290. doi: 10.1007/s13670-019-00300-x. Epub 2019 Oct 22.
PMID: 33312842BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Zhao Chen, PhD
Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 10, 2026
First Posted
August 11, 2026
Study Start
October 5, 2020
Primary Completion
March 30, 2021
Study Completion
June 30, 2021
Last Updated
August 11, 2026
Record last verified: 2026-06
Data Sharing
- IPD Sharing
- Will not share
The data from this study cannot be publicly shared because it contains Protected Health Information (PHI). This includes sensitive, personally identifiable details that could compromise participant privacy if disclosed. Under health data privacy laws (such as HIPAA), researchers have a legal and ethical obligation to protect patient confidentiality. Because the dataset contains specific health metrics tied to individual participants, anonymizing it fully without destroying its scientific value is not possible. Therefore, the data must remain securely stored to ensure full compliance with privacy regulations and to safeguard the trust of the participants involved.