Item Details

title

NOVEL USE OF ACCELEROMETERS TO MONITOR WEIGHTED VEST WEAR COMPLIANCE: ALGORITHM DEVELOPMENT AND APPLICATION TO AN ONGOING CLINICAL TRIAL

author

Alphin, Kathryn Hayes

abstract

Background: Despite adverse consequences of obesity, dietary weight loss recommendation remains controversial for older adults due to concomitant bone mineral density loss. The INVEST in bone health study (NCT04076618) sought to determine if external weighted vest use can mitigate weight loss associated bone loss in older adults. As success of this intervention depends on sufficient daily wear time, we sought to develop and test an accelerometer-based algorithm to objectively monitor vest wear time. Methods: An ActivPAL (PAL Technologies, Glasgow, Scotland) 4 triaxial accelerometer was embedded in the chest pocket of a HyperVest Pro ® (Hyperwear, Austin TX) weighted vest to capture triaxial acceleration at 20 Hz. Total vest wear time was recorded and data were downloaded and summed for each axis (X,Y,Z). Two algorithms derived from common wear time algorithms in physical activity monitoring were implemented. The first, (A1), had a single predetermined threshold, while the second, (A2), had range and standard deviation criteria to differentiate between periods of wear and non-wear. A well-characterized dataset including eight days from the research team were used to optimize each algorithm. Results: Average daily wear (mean±SD) reported from the first observation period of each method were as follows, wear log: 488.2±53.1, A1: 419.7±196.8, and A2: 190.4±128.7 minutes. Conclusion: Preliminary results suggest that the A1 method had better agreement to the written wear log than A2 with a percent difference of 14%. There is still room for algorithm refinement to better capture vest wear in this population.

subject

Accelerometer

Bone Density

Older Adults

Physical Activity Monitoring

Weighted Vest

contributor

Beavers, Kristen M (committee chair)

Brubaker, Peter (committee member)

date

2022-05-24T08:36:06Z (accessioned)

2022 (issued)

degree

Health and Exercise Science (discipline)

embargo

2027-06-01 (terms)

2027-06-01 (liftdate)

identifier

http://hdl.handle.net/10339/100752 (uri)

language

en (iso)

publisher

Wake Forest University

type

Thesis