Technology-based Fall Risk Assessments for Older Adults in Low-income Settings
2 other identifiers
observational
124
1 country
1
Brief Summary
The goal of this observational study is to examine the associations among fall risk appraisal, body composition, and physical activity in older adults in low-income settings. The main questions it aims to answer are:
- What is the feasibility of recruitment (e.g., how many older adults need to be screened to recruit the sample?), especially during the COVID-19 pandemic, and acceptability of technologies and procedures for use among older adults in low-income settings?
- What are the the dynamic relationships between fall risk appraisal, body composition, physical activity, and behavioral changes related to fear of falling? Participants will:
- complete questionnaires about their characteristics, socio-demographic, medical history, cognition, depressive symptoms, anxiety, and fear of falling.
- participate in static and dynamic balance tests, body composition measurement and handgrip strength test.
- wear an accelerometer for physical activity assessment for 7 consecutive days.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2020
Typical duration for all trials
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
Study Start
First participant enrolled
September 30, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2022
CompletedFirst Submitted
Initial submission to the registry
February 7, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2023
CompletedFirst Posted
Study publicly available on registry
October 2, 2023
CompletedOctober 2, 2023
September 1, 2023
1.7 years
February 7, 2023
September 25, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (7)
Feasibility of recruitment of low-income older adults
The investigators will assess the ability to recruit the participants by tracking the number of days and time spent to recruit the sample.
Through study completion, an average of 2 years
Acceptability of using technologies in low-income older adults
The acceptability of the technologies and procedures will be examined based on an evaluation form (e.g., what the participants thought about the questionnaires and technology) and participants' recommendations.
Through study completion, an average of 2 years
Maladaptive fall risk appraisal
A condition in which there is a discrepancy between perceived fall risk (levels of fear of falling) and physiological fall risk (balance performance). Fear of falling will be assessed using the Short Fall Efficacy Scale International (short FES-I) with 7 items and balance performance will be assessed using the BTrackS Balance test. Maladaptive fall risk will be plotted on a electronic graph as the interaction between balance performance on the X-axis and fear of falling on the Y-axis.
Once at baseline, an average of 5 minutes
Time spent in each physical activity intensity domain
Participants will wear the ActiGraph GT9X Link wireless activity monitor (ActiGraph LLC.), a tri-axial accelerometer, on the non-dominant wrist for 7 consecutive days.This device will assess the time (minutes) spent in light, moderate, and vigorous physical activity domains throughout the 7-day assessment period.
7 days
Body Composition
Body composition will be assessed using a direct segmental multi-frequency bioelectrical impedance analysis (BIA): InBody s10 device.
Once at baseline, an average of 2 minutes
Balance Performance
Balance performance will be assessed using the BTrackS Balance test.
Once at baseline, an average of 4 minutes
Fear of Falling
Fear of falling will be assessed using the Short Fall Efficacy Scale International (short FES-I) with 7 items.The minimum score possible is 7 and the maximum possible score is 28. Scores of 7-8 indicate "low concern," scores of 9-13 indicate "moderate concern," and scores of 14-28 indicate "high concern."
Once at baseline, an average of 10 minutes
Secondary Outcomes (1)
Depression
Once at baseline, an average of 10 minutes
Eligibility Criteria
Community sample
You may qualify if:
- ≥ 60 years of age
- no marked cognitive impairment \[Memory Impairment Screen (MIS) score ≥5\]
- speak English or Spanish
- live in Kinneret Sr. Apartments or in Orlando FL.
You may not qualify if:
- a medical condition precluding balance test (e.g., unable to stand on the balance plate) and/or PA (e.g., shortness of breath; feeling pressure when performing PA)
- currently receiving treatment from a rehabilitation facility
- have a metal implant.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Central Floridalead
- National Institute on Aging (NIA)collaborator
Study Sites (1)
University of Central Florida
Orlando, Florida, 32816, United States
Related Publications (2)
Thiamwong L, Stout JR, Park JH, Yan X. Technology-Based Fall Risk Assessments for Older Adults in Low-Income Settings: Protocol for a Cross-sectional Study. JMIR Res Protoc. 2021 Apr 7;10(4):e27381. doi: 10.2196/27381.
PMID: 33825688BACKGROUNDChoudhury R, Park JH, Thiamwong L, Xie R, Stout JR. Objectively Measured Physical Activity Levels and Associated Factors in Older US Women During the COVID-19 Pandemic: Cross-sectional Study. JMIR Aging. 2022 Aug 22;5(3):e38172. doi: 10.2196/38172.
PMID: 35994346RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ladda Thiamwong, PhD, RN
University of Central Florida
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
February 7, 2023
First Posted
October 2, 2023
Study Start
September 30, 2020
Primary Completion
June 30, 2022
Study Completion
July 1, 2023
Last Updated
October 2, 2023
Record last verified: 2023-09
Data Sharing
- IPD Sharing
- Will not share
The data will be made available at the end of the funding period (anticipated Fall 2023). We plan to share the de-identified datasets in both proprietary (SPSS files containing variables descriptions) and non-proprietary (.csv with accompanying .txt file containing variable descriptions) formats.