Abstract P195: Lack of Association between Sleep Duration and ECG Arrhythmia Risk Measures: Chicago Area Sleep Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Jason Ng ◽  
Phyllis C Zee ◽  
Jeffrey J Goldberger ◽  
Kristen L Knutson ◽  
Kiang Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Duration ◽  
Low Risk ◽  
Qtc Interval ◽  
Sleep Study ◽  
Chicago Area ◽  
Obstructive Sleep ◽  
Pr Interval

Introduction Sleep duration is significantly associated with cardiovascular disease risk factors such as hypertension, diabetes, and obesity in adults at low risk for obstructive sleep apnea. Although it is known that apnea increases the risk for sudden cardiac death, it is not known whether adults with short sleep duration independent of apnea have a higher risk for cardiac arrhythmias Hypothesis We tested the hypothesis that sleep duration in adults at low risk for obstructive sleep apnea would be associated with ECG measures that are known risk factors for ventricular arrhythmias. Methods The Chicago Area Sleep Study recruited 610 participants via commercially available telephone listings. Participants were screened using in-home apnea detection equipment (ApneaLinkTM) for one night to exclude subjects with apnea/hypopnea index ≥ 15. Participants wore wrist actigraphs for 7 days to objectively determine sleep duration. A 10-minute 12-lead ECG was recorded for each subject. Standard measures of heart rate, PR interval, and QTc interval were obtained along with markers of ventricular repolarization, Tpeak to Tend interval (Tpe) and spatial QRS-T angle. Signal-averaged ECG analysis was performed to measure filtered QRS duration (fQRSd), RMS voltage of terminal 40 ms (RMS), and duration of terminal QRS signals <40μV (LAS). Participants with atrial fibrillation, >20% ectopic beats and those using antihypertensive and sleep medications were excluded from analysis. The effect of sleep duration on the ECG parameters was estimated using a multiple linear regression model adjusting for demographics (sex, age, and race) and cardiovascular risk factors (BMI, hypertension, coronary heart disease, and diabetes). Results ECGs from a total of 504 participants (200 male, 48±8 years old) were analyzed. Mean sleep duration was 7±1 hrs, heart rate was 64±9 bpm, PR interval was 165±18 ms, and QTc interval was 424±23 ms. Mean Tpe interval was 83±14 ms and spatial QRS-T angle was 29±26 deg. The signal-averaged ECG measures of fQRSd, RMS, and LAS had mean values of 78±12 ms, 58±34 μV, and 24±9 ms, respectively. In an unadjusted model, there was a borderline association between sleep duration and QTc (β=0.004 ms/hr, SE=0.0023, p=0.08). However, that association was no longer significant following adjustment with demographics and cardiovascular risk factors. No other ECG measures were associated with sleep duration. Conclusions In a population at low risk of obstructive sleep apnea, ECG-based measures of cardiovascular risks were not associated with sleep duration. Previously reported associations between short sleep and cardiovascular events may not be arrhythmic in origin.

scholarly journals 0419 IL-6 Moderates the Association Between Obstructive Sleep Apnea Severity and Incident Alzheimer’s Disease: The Framingham Heart Study

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A160-A161
Author(s):  
A Baril ◽  
A S Beiser ◽  
S Redline ◽  
E R McGrath ◽  
H J Aparicio ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Duration ◽  
Framingham Heart Study ◽  
Sleep Disturbances ◽  
Heart Study ◽  
Obstructive Sleep

Abstract Introduction Both sleep disturbances and inflammation are potential risk factors for Alzheimer’s disease (AD). However, it is unknown how inflammation and sleep interact together to influence the risk of developing AD dementia. Our objective was to evaluate whether interleukin-6 (IL-6) levels interact with sleep disturbances when predicting incident clinical AD. Methods We studied participants in the Framingham Heart Study Offspring cohort who completed in-home overnight polysomnography. Sleep characteristics were continuous and included sleep duration, wake after sleep onset (WASO), and apnea-hypopnea index (AHI). Participants were stratified into quartiles of IL-6 levels. Surveillance for incident AD dementia occurred over a mean follow-up of 13.4±5.4 years. Using Cox proportional hazards regression models, we tested the interaction of sleep measures by IL-6 quartiles on incident AD dementia. All analyses adjusted for age and sex and P&lt;0.05 was considered significant. Results The final sample included 291 dementia-free participants at baseline (age 67.5±4.9 years, 51.6% men). Approximately one quarter of participants had obstructive sleep apnea (OSA; AHI&gt;15) at baseline (median:6.2, Q1:2,3, Q3:14.3). We observed 33 cases of incident AD dementia during follow-up. Although no interaction was observed for either sleep duration or WASO with IL-6 levels, there was a significant interaction of AHI with IL-6 in predicting AD dementia (p=0.002). In the lowest IL-6 quartile, higher AHI was associated with an elevated risk of AD dementia (hazard ratio, 4.15 [95%CI, 1.42, 12.1], p=0.01) whereas no association between AHI and incident AD was observed in other IL-6 quartiles. Conclusion Our findings suggest that the pro-inflammatory cytokine IL-6 moderates the association between OSA and incident AD risk. The association between increasing OSA severity and incident AD was only observed in those with lower IL-6 levels, suggesting that this association might be especially apparent when no other confounding risk factors such as inflammation are present. Support The Framingham Heart Study is supported by contracts from the National Heart, Lung and Blood Institute, grants from the National Institute on Aging, and grants from the National Institute of Neurological Disorders and Stroke.

scholarly journals Obstructive Sleep Apnea, Sleep Duration, and Associated Mediators With Carotid Intima-Media Thickness

2021 ◽  
Author(s):  
Silvana P. Souza ◽  
Ronaldo B. Santos ◽  
Itamar S. Santos ◽  
Barbara K. Parise ◽  
Soraya Giatti ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Duration ◽  
Intima Media Thickness ◽  
Carotid Intima Media Thickness ◽  
R Package ◽  
Apnea Hypopnea Index ◽  
Sleep Study ◽  
Media Thickness ◽  
Obstructive Sleep

Objective: To elucidate the independent associations of obstructive sleep apnea (OSA) and sleep duration (SD) as well as the potential inflammatory and metabolic mediators on carotid intima-media thickness (CIMT) in a large cohort of adults. Approach and Results: Consecutive participants from the ELSA-Brasil performed a clinical evaluation, sleep study, 1-week actigraphy for defining SD and CIMT using standard techniques. Gamma regression models were used to explore the association between OSA and SD with CIMT. Mediation analysis was performed using the mediation R package. A total of 2009 participants were included in the main analysis. As compared with no OSA (apnea-hypopnea index [AHI] <5 events/hour; n=613), patients with mild (AHI, 5–14.9; n=741), moderate (AHI, 15–29.9; n=389), and severe OSA (AHI ≥30 events/hour; n=266) presented a progressive CIMT increase (0.690 [0.610–0.790], 0.760 [0.650–0.890], 0.810 [0.700–0.940], and 0.820 [0.720–0.958] mm; P <0.001). In contrast, CIMTs were similar for those with SD <6 hours (0.760 [0.650–0.888]), 6 to 8 hours (0.750 [0.640–0.880]) and >8 hours (0.740 [0.670–0.900]). All forms of OSA were independently associated with CIMT (mild: β: 0.019, SE 0.008; P =0.022; moderate: β: 0.025, SE 0.011; P =0.022; severe OSA: β: 0.040, SE 0.013; P =0.002). Moreover, the association of AHI with CIMT was mediated by increased C-reactive protein and triglycerides ( P <0.01). SD did not interact with OSA in the association with CIMT. Conclusions: OSA is independently associated with increased CIMT in a dose-response relationship. This association is partially mediated by inflammation and dyslipidemia. In contrast, SD is not associated nor interacted with OSA to increase CIMT.

Abstract P391: The Effects of Obstructive Sleep Apnea on Cardiac Arrhythmia Risk

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Emily Biben ◽  
Lauren Burgess ◽  
Julie Allen ◽  
Noah Jouett ◽  
John Burk ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Cardiac Disease ◽  
Qt Interval ◽  
The United States ◽  
Qt Prolongation ◽  
Qtc Interval ◽  
Sleep Study ◽  
Qt Intervals ◽  
Obstructive Sleep

Background: Over 20 million people in the United States suffer from Obstructive Sleep Apnea (OSA). Compared to the general population, OSA patients are 2.6 times more likely to experience sudden cardiac death (SCD), and it is suspected that this is due, in part, to QT prolongation leading to fatal dysrhythmias. OSA events have previously been shown to cause prolonged QT intervals compared to the post-apnea hyperventilation period, and studies have also observed increased QT dispersion in patients without cardiac disease. However, those with cardiac disease may be at the greatest risk for SCD, and it is not known what role QT prolongation plays and what factors influence these responses. Thus, the purpose of this study is to evaluate the factors that affect QT interval during periods of sleep apnea including OSA severity, time of night, and quantity of obstructive apneic events during sleep. Methods: We determined QTc intervals from the electrocardiograms of 36 patients undergoing polysomnography for diagnosis of OSA. Patients that were selected had an apnea hypopnea index >20/Hr and had no prior myocardial infarction or heart failure. Each patient’s ECG during their sleep study was analyzed to assess QT interval throughout the night. Baseline QT intervals were compared to QT intervals during obstructive apneas during the first 2 hours of sleep (Early) and last 2 hours of sleep (Late). In addition, apneas >40 seconds were analyzed in 11 patients for changes in QTc as the apnea progressed. Statistical comparisons were made with paired t tests and a one-way ANOVA analysis with repeated measures. Results: Early analyses of data showed QTc intervals in Early and Late apneas were significantly prolonged compared to awake baseline (p=0.04 and p=0.006 respectively). For patients with apneas >40 seconds, significant differences in QTc interval were observed at increasing time points during the apnea compared to the QTc immediately preceding the apnea (p<0.001). Furthermore, patients with longer apneas tend to have longer baseline QTc (p=0.07). Conclusions: Sleep apneic events are associated with periods of mild QTc prolongation despite some cardiac cycle shortening. The prolongation tends to become enhanced later in the night, implying that there is a cumulative effect of numerous prior apneas. Furthermore, prolongation tends to increase as the apnea duration progresses. Early data analyses also suggest that baseline QTc tends to be longer in patients who have more severe/longer apneic events throughout the night. Future studies will focus on QTc changes in OSA patients with prior heart disease, as these are the patients at greatest risk for serious arrhythmias during the night.

scholarly journals Clinical symptoms and related factors of obstructive sleep apnea among overweight and obese taxi drivers

2015 ◽  
Vol 24 (4) ◽  
pp. 206-14 ◽  
Author(s):  
Agus D. Susanto ◽  
Barmawi Hisyam ◽  
Lientje S. Maurits ◽  
Faisal Yunus
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Duration ◽  
Clinical Symptoms ◽  
Taxi Drivers ◽  
Unrefreshing Sleep ◽  
Obstructive Sleep ◽  
The Family ◽  
Waking Up

Background: Obstructive sleep apnea (OSA) is common condition in commercial drivers while overweight and obesity as the most important risk factors. This study aimed to know the clinical symptoms and risk factors of OSA in overweight and obese taxi drivers in Jakarta, Indonesia. Methods: A cross-sectional study was done in 103 taxi drivers in Jakarta from November 2011–September 2013, by systematic random sampling from 10 taxi stations. Inclusion criteria were taxi drivers with body mass index (BMI) which 23–29.9 and mild or moderate OSA. Portable polysomnography (PSG) test was used to diagnose OSA. Parametric and nonparametric test were used in bivariate analysis. Logistic regression multivariable was used to final evaluate risk factors of OSA.Results: There were 54 (52.4%) of 103 drivers with OSA and 49 (47.6%) without OSA. Clinical symptoms found significantly (p<0.05) were snoring, unrefreshing sleep, occasional sleep while driving, and headache or nausea on waking up in the morning. Risk factors for OSA were increased BMI (OR=0.60, 95% CI=0.45–0.79, p=0.001), snoring history in the family (OR=4.92, 95% CI=1.82–13.31, p=0.002) and sleep duration <7 hours within 24 hours (OR=5.14, 95% CI=1.37–19.23, p=0.015).Conclusion: Clinical symptoms of OSA were snoring, unrefreshing sleep, occasional sleep while driving and headache or nausea on waking up in the morning. Risk factors of OSA were increased BMI, snoring history in the family and sleep duration <7 hours within 24 hours.

scholarly journals Association between the degree of obstructive sleep apnea and the severity of COVID-19: An explorative retrospective cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257483
Author(s):  
J. P. T. F. Ho ◽  
H. C. M. Donders ◽  
N. Zhou ◽  
K. Schipper ◽  
N. Su ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mechanical Ventilation ◽  
Obstructive Sleep Apnea ◽  
Regression Analysis ◽  
Sleep Apnea ◽  
Patient Data ◽  
Sleep Study ◽  
Icu Admission ◽  
Obstructive Sleep ◽  
Osa Treatment

Obstructive sleep apnea (OSA) on its own, as well as its risk factors, have been found to be associated with the outcome of Coronavirus disease 2019 (COVID-19). However, the association between the degree of OSA and COVID-19 severity is unclear. Therefore, the aim of the study was to evaluate whether or not parameters to clinically evaluate OSA severity and the type of OSA treatment are associated with COVID-19 severity. Patient data from OSA patients diagnosed with COVID-19 were reviewed from outpatients from the Isala Hospital and patients admitted to the Isala Hospital, starting from March until December 2020. Baseline patient data, sleep study parameters, OSA treatment information and hospital admission data were collected. Apnea hypopnea index (AHI), low oxyhemoglobin desaturation (LSAT), oxygen desaturation index (ODI), respiratory disturbance index (RDI), and the type of OSA treatment were regarded as the independent variables. COVID-19 severity–based on hospital or intensive care unit (ICU) admission, the number of days of hospitalization, and number of intubation and mechanical ventilation days–were regarded as the outcome variables. Multinomial regression analysis, binary logistic regression analysis, and zero-inflated negative binomial regression analysis were used to assess the association between the parameters to clinically evaluate OSA severity and COVID-19 severity. A total of 137 patients were included. Only LSAT was found to be significantly associated with the COVID-19 severity (p<0.05) when COVID-19 severity was dichotomized as non-hospitalized or hospitalized and ICU admission or death. Therefore, our findings showed that LSAT seems to be a significant risk factor for COVID-19 severity. However, the degree of OSA–based on AHI, ODI, and RDI–and OSA treatment were not found to be risk factors for COVID-19 severity when looking at hospital or ICU admission, the number of days of hospitalization, and number of intubation and mechanical ventilation days.

scholarly journals 864 New-onset Obstructive Sleep Apnea Diagnosis in a COVID-positive Patient

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A336-A336
Author(s):  
Nobel Nguyen ◽  
Kimberly Mebust
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Family History ◽  
Oxygen Saturation ◽  
Sleep Study ◽  
Obstructive Sleep ◽  
Study Results ◽  
Home Sleep Study ◽  
New Onset

Abstract Introduction Risk factors for the mortality of COVID-19, such as cardiovascular and lung disease, are commonly seen in patients with obstructive sleep apnea (OSA). Patients with OSA experience approximately 8-fold greater risk for COVID-19 infection compared to a similar age population. Among patients with COVID-19 infection, OSA was associated with an increased risk of hospitalization and approximately doubled the risk of developing respiratory failure. However, there is little information on whether COVID-19 can directly develop OSA. To the best of our knowledge, we describe the first case-presentation of a positive COVID-19 patient who developed sudden-onset OSA. Report of case(s) NL is a 47-year-old female who complains of new-onset snoring, excessive daytime sleepiness, and witnessed apnea events after testing positive for COVID-19 seven months prior after developing mild symptoms. Her ESS score is 12/24, neck circumference is 14.75 cm, BMI is 27.9, and Mallampati II. She has no pertinent PMH and is not a tobacco user. In regards to her sleep, she has no symptoms of restless legs, narcolepsy, or periodic limb movements. She denies any physical disturbances, psychiatric conditions, environmental factors, or medical issues that might affect her sleep. There is no family history of sleep apnea, snoring, or other sleeping disorders. The patient's presentation at the initial sleep visit prompted a home sleep study. Results of her home sleep study revealed 131 total number of sleep-related respiratory events, with an apnea-hypopnea index of 11.9 per hour. Mean oxygen saturation was 94% and the minimum oxygen saturation was 83%. Total estimated sleep time was 7 hours, 59 mins, and sleep quality and duration were deemed adequate. The results from NL's sleep study gave the final diagnosis of mild OSA. Conclusion Besides having a slightly overweight BMI, NL had relatively few risk factors for developing OSA (no family history, no comorbidities, and normal physical exam findings). The link between the virus and the development of OSA in healthy individuals is not readily apparent. We recommend sleep studies for healthy patients who develop OSA like-symptoms after being infected with COVID-19 to prevent unwanted health risks associated with OSA. Support (if any):

scholarly journals 1150 Obstructive Sleep Apnea-dependent Racial/ethnic And Sex-specific Mechanisms Underlying Alzheimer’s Disease Risk: A Retrospective Cohort Analysis Of In-lab PSG Sleep Study Data

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A438-A438
Author(s):  
O M Bubu ◽  
A D Turner ◽  
A Parekh ◽  
A Mullins ◽  
K Kam ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Duration ◽  
Retrospective Cohort ◽  
Cohort Analysis ◽  
Study Data ◽  
Sleep Fragmentation ◽  
Sleep Study ◽  
Retrospective Cohort Analysis ◽  
Obstructive Sleep

Abstract Introduction We examined race and sex-specific biologic mechanisms of the relationship between obstructive sleep apnea (OSA) and incident AD. Methods Retrospective cohort analysis utilizing in-lab PSG sleep study data conducted among older adults between 2001 and 2005. OSA was defined using AHI4%. Participants had no history of cognitive decline or AD at baseline and included 663 (284 Non-Hispanic White (NHW), 207 Black/African-American (AA) and 172 Hispanic) OSA-patients matched on age, sex, race, BMI, 1:1 ratio to 663 (unexposed cohort I from sleep clinic) and 1:4 ratio to 2652 (unexposed cohort II from non-sleep clinics) non-OSA individuals. Incident AD was assessed annually from 2001-2013 with ICD-9-CM code 331.0. Adjusted cox proportional hazard regression models examined race and sex-specific biologic mechanisms including hypoxia, fragmentation and duration measures of OSA and AD risk. Results Of the 3,978 participants, 2,148 (54%) were women. Mean age at baseline was 72.6 (7.3) years. Over a mean follow-up time of 8.6 (1.4) years, 358 (9%) individuals (212 female) developed AD (119 NHW, 134 AAs, and 105 Hispanics). Relative to non-OSA individuals, OSA-patients had a higher risk of incident AD, with AAs and females showing stronger risk estimates (aHR: 2.24, 1.83, and 1.73, P &lt;.001 for all, for AAs, Hispanics and NHW respectively; and aHR: 2.38, and 1.37, P &lt;.001 for all, for female and male respectively). Measures of hypoxia, sleep fragmentation and sleep duration were associated with increase AD risk (P &lt;.01 for all). Relative to NHW, AAs and Hispanics demonstrated up to 20% stronger effects/estimates on hypoxia and sleep duration measures. Relative to males, females demonstrated up to 25% stronger effects/estimates on sleep fragmentation measures, and 15% weaker effects/estimates on hypoxia measures (P &lt;.01 for all). Conclusion Among OSA-patients, mechanisms related to hypoxia, sleep fragmentation and duration measures increase AD risk and may underlie race/ethnicity and sex disparities in AD. Support NIH/NIA/NHLBI (L30-AG064670, CIRAD P30AG059303 Pilot, T32HL129953, R01HL118624, R21AG049348, R21AG055002, R01AG056031, R01AG022374, R21AG059179, R01AG056682, R01AG056531, K07AG05268503, K23HL125939)

419 STOP-Bang Score and History of Radiation Predicts Risk of Obstructive Sleep Apnea in Cancer Patients: A Machine Learning Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A166-A166
Author(s):  
Ankita Paul ◽  
Karen Wong ◽  
Anup Das ◽  
Diane Lim ◽  
Miranda Tan
Keyword(s):  
Machine Learning ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Cancer Patients ◽  
Prediction Accuracy ◽  
Screening Tools ◽  
Cancer Type ◽  
Sleep Study ◽  
Obstructive Sleep ◽  
History Of

Abstract Introduction Cancer patients are at an increased risk of moderate-to-severe obstructive sleep apnea (OSA). The STOP-Bang score is a commonly used screening questionnaire to assess risk of OSA in the general population. We hypothesize that cancer-relevant features, like radiation therapy (RT), may be used to determine the risk of OSA in cancer patients. Machine learning (ML) with non-parametric regression is applied to increase the prediction accuracy of OSA risk. Methods Ten features namely STOP-Bang score, history of RT to the head/neck/thorax, cancer type, cancer stage, metastasis, hypertension, diabetes, asthma, COPD, and chronic kidney disease were extracted from a database of cancer patients with a sleep study. The ML technique, K-Nearest-Neighbor (KNN), with a range of k values (5 to 20), was chosen because, unlike Logistic Regression (LR), KNN is not presumptive of data distribution and mapping function, and supports non-linear relationships among features. A correlation heatmap was computed to identify features having high correlation with OSA. Principal Component Analysis (PCA) was performed on the correlated features and then KNN was applied on the components to predict the risk of OSA. Receiver Operating Characteristic (ROC) - Area Under Curve (AUC) and Precision-Recall curves were computed to compare and validate performance for different test sets and majority class scenarios. Results In our cohort of 174 cancer patients, the accuracy in determining OSA among cancer patients using STOP-Bang score was 82.3% (LR) and 90.69% (KNN) but reduced to 89.9% in KNN using all 10 features mentioned above. PCA + KNN application using STOP-Bang score and RT as features, increased prediction accuracy to 94.1%. We validated our ML approach using a separate cohort of 20 cancer patients; the accuracies in OSA prediction were 85.57% (LR), 91.1% (KNN), and 92.8% (PCA + KNN). Conclusion STOP-Bang score and history of RT can be useful to predict risk of OSA in cancer patients with the PCA + KNN approach. This ML technique can refine screening tools to improve prediction accuracy of OSA in cancer patients. Larger studies investigating additional features using ML may improve OSA screening accuracy in various populations Support (if any):

scholarly journals Subjective and Objective Appraisal of Activity in Adults with Obstructive Sleep Apnea

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Eileen R. Chasens ◽  
Susan M. Sereika ◽  
Martin P. Houze ◽  
Patrick J. Strollo
Keyword(s):  
Physical Activity ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Epworth Sleepiness Scale ◽  
Functional Outcomes ◽  
Apnea Hypopnea Index ◽  
Sleep Study ◽  
Obstructive Sleep ◽  
Subjective Sleepiness ◽  
Aging Adults

Objective.This study examined the association between obstructive sleep apnea (OSA), daytime sleepiness, functional activity, and objective physical activity.Setting.Subjects (N=37) being evaluated for OSA were recruited from a sleep clinic.Participants. The sample was balanced by gender (53% male), middle-aged, primarily White, and overweight or obese with a mean BMI of 33.98 (SD=7.35;median BMI=32.30). Over 40% reported subjective sleepiness (Epworth Sleepiness Scale (ESS) ≥10) and had OSA (78% with apnea + hypopnea index (AHI) ≥5/hr).Measurements.Evaluation included questionnaires to evaluate subjective sleepiness (Epworth Sleepiness Scale (ESS)) and functional outcomes (Functional Outcomes of Sleep Questionnaire (FOSQ)), an activity monitor, and an overnight sleep study to determine OSA severity.Results.Increased subjective sleepiness was significantly associated with lower scores on the FOSQ but not with average number of steps walked per day. A multiple regression analysis showed that higher AHI values were significantly associated with lower average number of steps walked per day after controlling patient's age, sex, and ESS.Conclusion.Subjective sleepiness was associated with perceived difficulty in activity but not with objectively measured activity. However, OSA severity was associated with decreased objective physical activity in aging adults.

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