SLEEP 2011 Abstract Supplement

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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
B. Clinical Sleep Science X. Normal Physiology of Sleep and Normal Variants therapy measures. P5 (64.2% vs. 55.1%) or BMI (28.1±6.3 vs. 26.9±6.3 p>0.13). Those with a bedroom TV were younger (48.8±18 vs. 53.4±20, p=0.03). Women had worse sleep quality than men (PSQI global score 6.6±3.9 vs. 5.6±3.3, p=0.016), but a TV in the bedroom did not affect sleep quality in either gender. Hispanics reported a bedroom TV more frequently than NHW (77.1% vs. 56.3%, p40hrs [OR=1.72, 95% CI=1.44-2.06], black race/ethnicity [OR=1.42, 95% CI=1.12-1.80], care-giving to family/friends [OR=1.23, 95% CI=1.44-2.06], and lack of emotional support [OR=1.21, 95% CI=1.12- 1.31]; *p
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EDITORIAL In June of 1986, roughly
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