SLEEP 2011 Abstract Supplement

B. Clinical Sleep Science XII. Sleep and Aging
0889
PREVALENCE AND CORRELATES FOR SLEEP
COMPLAINTS IN OLDER ADULTS IN LOW AND MIDDLE
INCOME COUNTRIES: A 10/66 DEMENTIA RESEARCH
GROUP STUDY
Mazzotti DR 1 , Guindalini C 1 , Sosa AL 2 , Ferri CP 2 , Tufik S 1
1
Psychobiology, Universidade Federal de São Paulo, São Paulo, Brazil,
2
Institute of Psychiatry, King’s College London, London, United
Kingdom
Introduction: Although it is well recognized that the prevalence of
sleep complaints increases in older ages, estimations of this parameter
in developing countries are still unknown. The present study aims to describe
the prevalence and estimate prevalence ratios of sleep complaints’
correlates in a large population of older adults from low and middle income
countries (LAMIC).
Methods: A cross-sectional survey was performed in 16,680 65 yearold
or older residents in catchment areas of eight LAMIC (Cuba, Dominican
Republic, Peru, Venezuela, Mexico, China, India and Puerto
Rico) as part of the 10/66 Dementia Research Group research program.
Information about socio-demographic factors, lifestyle and health status
as well as questions regarding sleep complaints was obtained. The
prevalence of sleep complaints was estimated based on the question:
“Have you had trouble sleeping recently?”. The results (with robust 95%
confidence intervals) were standardized by age group, sex, household
clustering and residence site (urban or rural), for each studied country.
Prevalence ratios were derived from Poisson regression models for each
country and fixed or random effects meta-analyses was used to combine
them.
Results: Standardized prevalence of sleep complaints varied from 9.1%
(China) to 37.7% (India). Overall, after correction for all other variables,
the meta-analysis showed that female gender, urban residence, low educational
level, low physical activity status, high scores in pain score,
poor health condition, higher memory impairment score, presence of
DSMIV major depression, mild cognitive impairment and high number
of co-morbidities were associated with the presence of sleep complaints
(p10: OR 1.98, 95% CI 1.35, 2.92) In
age-adjusted models, the presence of RLS was associated with a higher
likelihood of nighttime wakefulness >1.5 hours (OR 1.65, 95% CI 1.13,
2.40) and frequent awakenings (>8 episodes) of 5 min or more (OR 1.53,
95% CI 1.04, 2.25). In multivariable models, these associations were attenuated
and were of borderline significance.
Conclusion: RLS is common in very elderly women and is associated
with increased subjective sleep complaints and, to a lesser degree, with
increased objectively measured sleep fragmentation.
Support (If Any): The Study of Osteoporotic Fractures (SOF) is supported
by National Institutes of Health funding. The National Institute
on Aging (NIA) provides support under the following grant numbers:
AG05407, AR35582, AG05394, AR35584, AR35583, R01 AG005407,
R01 AG027576-22, 2 R01 AG005394-22A1, and 2 R01 AG027574-
22A1, AG05407, AR35582, AG05394, AR35584, AR35583, AG026720.
0891
PREDICTORS OF BRIGHT LIGHT EXPOSURE IN OLDER
POST-ACUTE REHABILITATION PATIENTS
Fung CH 1 , Martin JL 2,3 , Josephson KR 2 , Jouldjian S 2 , Alessi CA 2,3
1
Cedars-Sinai Sleep Medicine Fellowship Program, Cedars-Sinai
Medical Center, Los Angeles, CA, USA, 2 Geriatric Research,
Education and Clinical Center (GRECC), VA Greater Los Angeles
Healthcare, North Hills, CA, USA, 3 David Geffen School of Medicine
at UCLA, Los Angeles, CA, USA
Introduction: Fragmented sleep is common among older patients undergoing
inpatient post-acute rehabilitation (PAR). Prior research has
demonstrated that most institutionalized older adults are never exposed
to bright light (> 1,000 lux), and that bright light therapy consolidates
sleep and improves rest/activity rhythms. We aimed to describe levels
and predictors of bright light exposure in the PAR setting.
Methods: We examined light data from wrist actigraphs for 1 week
by 262 PAR patients (aged > 65 years) at 1 community and 1 Veterans
Administration (VA) site. We assessed bivariate relationships between
bright light exposure and frequency of naps, as well as minutes
of daytime sleep. Using logistic regression, we modeled the relationship
between bright light exposure (mean daily minutes > 1000 vs. < 1000
lux) and demographics (gender, age, race, marital status), rehabilitation
factors (bed near window, reason for admission, facility, admission functional
status, Cumulative Illness Rating Scale-Geriatrics, Geriatric Depression
Scale, Geriatric Pain Measure, Mini-Mental Status Exam, and
Lubben Social Network Scale.
Results: Twenty-six percent of patients had no bright light exposure.
On average, patients were exposed to 15.7 (SD 24.6) minutes of light
> 1000 lux/day and were exposed to no light > 1000 lux on 52.8% (SD
36.1) of recorded days. The average maximum duration of bright light
exposure on any one day was 44.4 minutes (SD 57.6). In regression
analyses predicting bright light exposure, there was no association with
daytime sleep (P>.05) or other measured variables. Patients at the VA
site were exposed to less bright light (adjusted OR= 0.23, p