Abstract

Older adults over age 65 are susceptible to loss of balance for a variety of reasons including drops in blood pressure with standing (orthostatic hypotension [OH]; Gray-Miceli, Ratcliffe, Thomasson, Quigley, Li & Craelius, 2016). OH is a treatable condition, and cause of falls if detected. Nearly 50% of the 1.43 million older adults in long-term care experience falls (National Center for Injury Prevention and Control, 2017). Falls often occur among older adults in long term care during periods of transitioning, where older adults are susceptible to loss of balance and increased risk to fall. As found in our prior work, older adults with OH may not always experience classic dizziness symptoms that may accompany OH (Gray-Miceli, Ratcliffe, Liu, Wantland & Johnson, 2012; Gray). To better understand this phenomenon, our project adapted a cellphone as an inertial measurement unit attached to the person’s center of mass to determine body sway. The objective of this pilot study was to determine if a relationship was observable during the sit to stand maneuver (StS) while older adults wore a Smartphone measuring three dimensions of motion among older adults who had evidenced of symptoms or OH. A sample of four older adults from a rehabilitation facility who were 65 years of age, receiving physical therapy at the time of testing, were cognitively intact, able to perform the StS maneuver and had no active cancer, fractures or serious injuries were recruited and enrolled. Oh determinations, pulse rate and symptoms of dizziness were elicited during a 30 second StS maneuver. In Patient A and Patient B we present the Z-axis and X-axis of front acceleration and patterns of motion side by side for case comparison while highlighting clinical findings. In Patient B, a greater degree of sway at the start of the StS maneuver is noted. Patient B’s blood pressure also dropped 33 mmHg and there were symptoms of dizziness. Drops in mean arterial blood pressure were greater among those with symptomatic OH. Limitations of this pilot include noise, selection of filters and time stamping of the data. Project aims are to help clinicians prevent falls by further assessing symptoms among elders who suffer from LOB and OH.

Full Text
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