Physical Activity Monitoring in Frailty and Falling
Phase II and Phase IIB STTR: Portable Device for Telecare Monitoring of Elderly People
2 other identifiers
observational
180
1 country
2
Brief Summary
BioSensics has developed a Physical Activity Monitoring System (PAMSys) that consists of a single wearable motion sensor that is worn on the torso. The objectives of this observational study are the following: 1) to test the efficacy of PAMSys for objectively assessing a persons risk of falling based on activity data measured during activities of daily living and 2) to test the efficacy of PAMSys for identifying precise early physical activity or functioning indicators of frailty in those who are pre-frail or frail as compared to non-frail controls.
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 Aug 2012
Longer than P75 for all trials
2 active sites
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
August 1, 2012
CompletedFirst Submitted
Initial submission to the registry
June 14, 2013
CompletedFirst Posted
Study publicly available on registry
June 18, 2013
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2018
CompletedJuly 24, 2018
July 1, 2018
5.8 years
June 14, 2013
July 23, 2018
Conditions
Outcome Measures
Primary Outcomes (1)
Average sit-to-stand transition time over 48-hour monitoring period
Eligible subjects will receive a PAMSys motion sensors and necessary instructions for proper use. They will then wear the motion sensor continuously for 48 hours. PAMSys will record the duration of each sit-to-stand transition during this 48 hour monitoring period. The primary outcome measure is the average of these durations.
Averaged over days 1 and 2
Secondary Outcomes (1)
Average stand-to-sit transition time during 48 hours of continuous monitoring
Averaged over days 1 and 2
Other Outcomes (2)
Fraility as categorized based on Fried's five phenotypic criteria
First evaluation (day 1)
Fraility as categorized based on Fried's five phenotypic criteria
6 months
Study Arms (3)
non-frail
Categorized as non-frail based on Fried's five phenotypic criteria (Fried L.P., et al. Frailty in Older Adults: Evidence for a Phenotype. Journal of Gerontology: 2001, Vol. 56A, No. 3, M146-M156)
pre-frail
Categorized as pre-frail based on Fried's five phenotypic criteria (Fried L.P., et al. Frailty in Older Adults: Evidence for a Phenotype. Journal of Gerontology: 2001, Vol. 56A, No. 3, M146-M156)
frial
Categorized as frail based on Fried's five phenotypic criteria (Fried L.P., et al. Frailty in Older Adults: Evidence for a Phenotype. Journal of Gerontology: 2001, Vol. 56A, No. 3, M146-M156)
Eligibility Criteria
Pima County Arizona elders aged 65+ will be recruited from the Arizona Center on Aging affiliated geriatrics clinics.
You may qualify if:
- Community-dwelling ambulatory men or women ages 65 and above
You may not qualify if:
- Mental Status Mini Exam score \< 23
- Those who are unwilling or unable to comprehend informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- BioSensicslead
- National Institute on Aging (NIA)collaborator
Study Sites (2)
University of Arizona Center on Aging
Tucson, Arizona, 85719, United States
Baylor College of Medicine Interdisciplinary Consortium on Advance Motion Performance
Houston, Texas, 77030, United States
Related Publications (4)
Pradeep Kumar D, Najafi B, Laksari K, Toosizadeh N. Sensor-Based Assessment of Variability in Daily Physical Activity and Frailty. Gerontology. 2023;69(9):1147-1154. doi: 10.1159/000530900. Epub 2023 May 10.
PMID: 37231977DERIVEDPradeep Kumar D, Wendel C, Mohler J, Laksari K, Toosizadeh N. Between-day repeatability of sensor-based in-home gait assessment among older adults: assessing the effect of frailty. Aging Clin Exp Res. 2021 Jun;33(6):1529-1537. doi: 10.1007/s40520-020-01686-x. Epub 2020 Sep 15.
PMID: 32930988DERIVEDPradeep Kumar D, Toosizadeh N, Mohler J, Ehsani H, Mannier C, Laksari K. Sensor-based characterization of daily walking: a new paradigm in pre-frailty/frailty assessment. BMC Geriatr. 2020 May 6;20(1):164. doi: 10.1186/s12877-020-01572-1.
PMID: 32375700DERIVEDParvaneh S, Mohler J, Toosizadeh N, Grewal GS, Najafi B. Postural Transitions during Activities of Daily Living Could Identify Frailty Status: Application of Wearable Technology to Identify Frailty during Unsupervised Condition. Gerontology. 2017;63(5):479-487. doi: 10.1159/000460292. Epub 2017 Mar 11.
PMID: 28285311DERIVED
Study Officials
- PRINCIPAL INVESTIGATOR
Joseph Gwin, PhD
BioSensics
- PRINCIPAL INVESTIGATOR
Bijan Najafi, PhD
University of Arizona
- PRINCIPAL INVESTIGATOR
Jane Mohler, PhD
University of Arizona
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Target Duration
- 12 Months
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 14, 2013
First Posted
June 18, 2013
Study Start
August 1, 2012
Primary Completion
May 1, 2018
Study Completion
May 1, 2018
Last Updated
July 24, 2018
Record last verified: 2018-07