SLEEP 2011 Abstract Supplement

B. Clinical Sleep Science X. Normal Physiology of Sleep and Normal Variants
Introduction: Healthy adults require between 7-9 h of sleep for optimal
health and daytime functioning. Athletes, especially those recovering
from surgery, may require increased sleep demand to aid in recovery but
little is known regarding the influence of Ramadan. Therefore, the aim
of this study was to characterize the subjective sleep quality and daytime
sleepiness in post-operative athletes and to examine changes associated
with the observance of Ramadan.
Methods: Male athletes status post-anterior cruciate ligament (ACL)
surgery (3-6 months) (n=9, 26 ± 4.6 y, 27 ± 5.7 BMI) attending outpatient
physiotherapy in Qatar. Sleep quality and daytime sleepiness was
assessed 1-week before Ramadan (PRE) and during the last week of Ramadan
(POST), between Aug-Sept 2010, using standardized questionnaires:
Pittsburgh Sleep Quality Index, PSQI; Insomnia Severity Index,
ISI; and Epworth Sleepiness Scale, ESS. Physiotherapy measurements
for pain, swelling, muscle bulk, hamstring length, and peak leg-press
load were obtained retrospectively by chart review. Data were compared
using Wilcoxon Signed Ranks Tests for related samples. Spearman Rho
was used to assess correlations between quantitative sleep and physiomean=27.49
(19.15-57.37). PT: 20 SS reported high PT, 5 SS “normal”,
7 SS low.
Conclusion: Preliminary phenotyping of self-described short sleepers
suggests a multifaceted, potentially familial syndrome. Therefore, SSS
may present a particularly high-yield opportunity to explore clock gene
pleiotropy, including the importance of sleep genetics to human biology
and clinical medicine.
Support (If Any): NIH R01HL059596. Principle Investigator Louis
J. Ptacek; Co-Investigator Ying-Hui Fu, University of California, San
Francisco, CA, USA
0755
HABITUAL SLEEP DURATION AND INSULIN RESISTANCE
IN A COMMUNITY SAMPLE OF MIDDLE-AGED AND
OLDER ADULTS
Polak J, Aurora RN, Punjabi NM
Medicine, Johns Hopkins University, Baltimore, MD, USA
Introduction: Acute sleep restriction in normal subjects has been
shown to decrease insulin sensitivity. The primary aim of this study was
to determine whether habitual sleep duration is associated with insulin
resistance after accounting for several other factors such as age, sex,
body mass index, and the severity of sleep apnea in a general community
sample.
Methods: The current analyses are based on data collected by Sleep
Heart Health study. From the baseline sample of 6,441 participants, only
those with measurements of fasting glucose and insulin were included
in this analysis. Habitual sleep duration during the work week was assessed
by self-report. Insulin resistance was quantified by the homeostasis
model assessment index (HOMA-IR = fasting glucose x fasting
insulin/22.5). Multivariable regression methods were used to model
log(HOMA-IR) as a function of habitual sleep duration while adjusting
for age, sex, body mass index (BMI), and sleep apnea severity.
Results: The study sample consisted of 1,130 participants (mean age:
62.8 years; mean BMI: 28.8 kg/m 2 ). The distribution of sleep duration
was as follows: < 6 hrs (24.3%), 7-8 hrs (68.2%) and > 9 hrs (7.5%).
HOMA-IR values were lowest in participants reporting < 6 hours/night
of habitual sleep compared to those reporting 7-8 hours/night of habitual
sleep (2.87 vs. 3.20; p 25 kg/m 2 (3.10 vs. 3.60; p 25 kg/m 2 .
Conclusion: In a community-based sample of middle aged and older
adults, self-reported habitual short sleep duration (< 6 hours/night) is associated
insulin resistance independent of other factors such as age, sex,
obesity and sleep apnea. The association between short sleep duration
and insulin resistance is most notable in overweight and obese people.
Support (If Any): NIH grant HL075078
0756
BIOPSYCHOSOCIAL PREDICTORS OF INSUFFICIENT REST
OR SLEEP IN THE AMERICAN POPULATION
Grandner MA 1 , Lang RA 1 , Jackson NJ 1 , Patel NP 2 ,
Murray Bachmann R 3 , Jean-Louis G 3
1
Sleep Medicine, University of Pennsylvania, Philadelphia, PA,
USA, 2 Respiratory Specialists and Department of Medicine, Reading
Hospital and Medical Center, Reading, PA, USA, 3 Medicine, SUNY
Downstate Medical Center, Brooklyn, NY, USA
Introduction: As social/behavioral determinants of health become
increasingly recognized, understanding how these play a role in sleep
becomes increasingly important. Insufficient sleep is a potentially important
indicator, capturing elements of sleep duration and disturbance--
both linked to many health outcomes. The present analysis explored
whether specific biopsychosocial health predictors are predictive of insufficient
sleep.
Methods: The 2009 Behavioral Risk Factor Surveillance
System(BRFSS) was used(N=323,047), which included a survey item
detailing days/week of perceived insufficient rest or sleep. We hypothesized
that specific modifiable and unmodifiable factors contribute variance
to insufficient sleep, encompassing several domains: demographics
(age, sex, race/ethnicity, marital status, Census-region), socioeconomics
(crowding, education, income, employment, health insurance), health
(physical health, mental health, BMI, emotional support, general health),
and healthy behavior (minutes of exercise, alcohol intake, servings of
fruits/vegetables, general physical activity, heavy drinking, smoking).
Linear regression adjusted for all predictors.
Results: Being female was a predictor, as was being Hispanic/Latino
or Asian/Other (Black and Multiracial were trends). Age was negatively
related to sleep insufficiency. The youngest groups reported the
most insufficient sleep (significantly higher than 80+: 18-24,25-29,30-
34,35-39,40-44,45-49,50-54,55-59,60-64,65-69). South and Northeast
Census-region were positively associated with insufficient sleep. Lack
of high-school diploma and low income($10,000-$15,000, $20,000-
$25,000, and $25,000-$35,000) were predictors. Being retired or unemployed
were predictors. There was a trend for access to health insurance.
Physical and mental health, as well as all levels of general health (versus
Excellent), were predictive. Obesity was a predictor. Crowding was a
predictor, as was being Never Married. All levels of Emotional Support
(versus Always) were predictive. Minutes of moderate/vigorous activity
was a predictor, but larger effects were seen for broadly-assessed exercise.
Alcohol was not a predictor, but daily and former smoking were.
Number of fruits/vegetables was not a predictor. For all predictors together
R-squared=17.55.
Conclusion: A number of factors across the biopsychosocial spectrum
are associated with insufficient sleep.
Support (If Any): This work was supported by T32HL007713 and a
pilot grant from the University of Pennsylvania CTSA (UL1RR024134).
Also, we wish to thank the Centers for Disease Control and Prevention
for collecting these data and making it available and the BRFSS participants
for providing data.
0757
INFLUENCE OF RAMADAN ON SUBJECTIVE SLEEP
QUALITY AND DAYTIME SLEEPINESS IN POST-
OPERATIVE ATHLETES LIVING IN QATAR
Herrera CP 1 , Lippert C 2 , Sas B 2
1
Research and Education Centre, Aspetar-Qatar Orthopaedic and
Sports Medicine Hospital, Doha, Qatar, 2 Rehabilitation, Aspetar-Qatar
Orthopaedic and Sports Medicine Hospital, Doha, Qatar
SLEEP, Volume 34, Abstract Supplement, 2011
A260