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P OSTER
A BSTRACTS
Methods: Two hundred and four volunteers at McLaren Regional
Medical Center in Flint, Michigan, in May 2011, were
mailed an anonymous survey. The RAND 36–Item Health Survey
(Version 1.0) was used as the instrument for quality of life measurement.
The demographic questions included: gender, age, marital
status, ethnicity, completed level of education and house–hold
income. The responses were collected for eight weeks. We analyzed
demographic variables and compared them between our
mean and those of the general elderly volunteering population,
obtained from the literature. Analysis of quality of life data is
pending.
Results: One hundred and three participants returned completed
surveys, resulting in a 45% response rate. 91% were female,
ages 65 to 94, with the majority (38%) in the 75-84 range. 91% were
Caucasian; 55% were single, as opposed to residing with someone or
married. Majority had either completed the 12th grade (38%) or
some college (35%). 28% had an annual income range in the
$20–34,000, though a significant proportion chose not to provide this
information.
Conclusion: National data tends to group older volunteering
adults into one large category of 65 years and older, however, we
were able to break this group down and revealed the demographic
variables. Additionally, as opposed to the current research which suggests
that those with higher educational and income levels make up
the general volunteering population, our research indicates that it is
those which fall in the middle range on both items who choose to participate
in volunteering activity.
C161
The Relationship Between Body Weight and Quality of Life in
Older Adults with Medicare Supplement Insurance.
K. Hawkins, 1 F. G. Bottone Jr, 1 S. Musich, 1 R. J. Ozminkowski, 1,2
Y. Cheng, 1 R. J. Migliori, 2 C. S. Yeh. 3 1. Advanced Analytics,
OptumInsight, Ann Arbor, MI; 2. UnitedHealth Group Alliances,
Minnetonka, MN; 3. AARP Services, Inc., Washington, DC.
Supported By: UnitedHealth Group and AARP Services, Inc. (ASI).
The objective of this study was to estimate the relative impact
that each body mass index (BMI) category has on health-related
quality of life. A mail survey was sent to 60,000 adults with an
AARP®-branded Medicare Supplement Insurance (i.e. Medigap)
plan provided by UnitedHealthcare Insurance Company (for New
York residents, UnitedHealthcare Insurance Company of New York)
in 10 states. The Medicare Health Outcomes Survey instrument was
used, but renamed the Health Update Survey, for use with a Medigap
sample. Casemix-adjusted comparisons were made between each
BMI category versus those with normal BMI.A total of 22,827 (38%)
eligible sample members responded to the survey. Respondents had
the following BMI categories: 2.2% were underweight, 37.0% were
overweight, 18.5% were obese, 1.9% were morbidly obese, 38.5% had
a normal BMI and 1.9% were missing BMI information. Factors associated
with being underweight or carrying excess body weight were
generally consistent with past reports. Quality of life was assessed
using the average physical component scores (PCS) and mental component
scores (MCS) obtained from the VR-12 health status tool. Respondents’
PCS values were 5.01, 0.16, 3.60 and 9.50 points lower on
average, respectively, for the underweight, overweight, obese and
morbidly obese BMI categories, compared to the normal BMI group.
Respondents’ MCS values were 3.28, +0.52, 0.32 and 1.39 points
lower on average, respectively for the underweight, overweight,
obese and morbidly obese BMI categories, compared to the normal
weight group. The greatest impact on quality of life was on those in
the underweight and morbidly obese categories, with the greater negative
impacts were on the physical rather than mental aspects of quality
of life.
C162
The Responsiveness of Quality of Life Measures in Patients with
Alzheimer’s Disease: Results from the Canadian Alzheimer’s
Disease Quality of Life Study.
G. Naglie, 1,2 D. Hogan, 5 M. Krahn, 3,4 S. Black, 4 M. Freedman, 4
L. Beattie, 6 M. Borrie, 7 A. Byszewski, 8 C. MacKnight, 9 C. Patterson, 10
H. Bergman, 11 J. Irvine, 12 P. Ritvo, 12 D. Streiner, 10 J. Comrie, 12
M. Kowgier, 4 G. Tomlinson. 3,4 1. Baycrest, Toronto, ON, Canada; 2.
Toronto Rehab, Toronto, ON, Canada; 3. Toronto General Research
Institute, Toronto, ON, Canada; 4. University of Toronto, Toronto, ON,
Canada; 5. University of Calgary, Calgary, AB, Canada; 6. University
of British Columbia, Vancouver, BC, Canada; 7. University of Western
Ontario, London, ON, Canada; 8. University of Ottawa, Ottawa, ON,
Canada; 9. Dalhousie University, Halifax, NS, Canada; 10. McMaster
University, Hamilton, ON, Canada; 11. McGill University, Montreal,
QC, Canada; 12. York University, Toronto, ON, Canada.
Supported By: Canadian Institutes of Health Research, Alzheimer
Society of Canada and the University Health Network Geriatric Fund.
Purpose: To assess the responsiveness of a variety of generic and
disease-specific quality of life (QOL) measures in patients with
Alzheimer’s disease (AD).
Methods: We recruited 272 community-living AD patients and
their caregivers from clinics across Canada. Patients with MMSE
scores > 10 rated their QOL using the EQ-5D, Quality of Well-Being
scale, a visual analogue scale and the QOL in AD (QOL-AD) instrument.
Caregivers rated patient’s QOL using these measures as well as
the Health Utilities Index (HUI) and Short-Form-36. QOL and patients’
cognition (AD Assessment Scale-Cognitive), function (Disability
Assessment for Dementia) and neuropsychiatric symptoms
(Neuropsychiatric Inventory and Geriatric Depression Scale) were
assessed at baseline, 6, 12 and 24 months. We evaluated internal responsiveness
using the standardized effect size and the standardized
response mean. We assessed external responsiveness using receiver
operating characteristic (ROC) curves for the QOL measures based
on a decline or no decline in a composite score based on the first principal
component of the core dementia symptoms.
Results: At baseline, patients’ mean age was 82.8, 50.2% were
female and mean MMSE was 20.2. For patient self-ratings, the QOL
measures did not exhibit meaningful responsiveness over time. For
caregiver ratings of patient QOL: the internal responsiveness of the
QOL measures at 12 and 24 months was small (0.12 to 0.28) and small
to moderate (0.22 to 0.59), respectively; the external responsiveness
at 12 and 24 months was greatest for the EQ-5D, QOL-AD and HUI,
with areas under the ROC curves of 0.67 to 0.77.
Conclusions: Over 24 months of follow-up, patient self-ratings of
QOL did not exhibit meaningful responsiveness, while caregiver ratings
of patient QOL with the QOL-AD, HUI and EQ-5D exhibited
moderate responsiveness.
C163
Physical Therapy Interventions Utilizing Dual Task Phenomenon to
Decrease Cognitive-motor Interference in a Person Status-post
Intercerebral Hemorrhage: a Case Report.
A. Tilsley, G. L. Raymond. Physical Therapy, Samuel Merritt
University, Oakland, CA.
BACKGROUND: Cognitive-motor interference (CMI) is a
phenomenon in which the simultaneous performance of a motor and
cognitive task interferes with the performance of one or both tasks.
CMI can occur after a stroke, increasing a person’s risk of falls as they
may be unable to react to unexpected challenges during ambulation.
The objective of this case report is to demonstrate how the theory of
CMI was used to develop interventions aimed at decreasing a patient’s
fall risk.
DESIGN: Case report.
SETTING: Acute rehabilitation in Northern California.
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AGS 2012 ANNUAL MEETING