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. Author manuscript; available in PMC: 2013 Mar 18.
Published in final edited form as: JAMA. 2011 Aug 10;306(6):613–619. doi: 10.1001/jama.2011.1115

Sleep disordered breathing, hypoxia, and risk of mild cognitive impairment and dementia in older women

Kristine Yaffe 1, Alison M Laffan 1, Stephanie Litwack Harrison 1, Susan Redline 1, Adam P Spira 1, Kristine E Ensrud 1, Sonia Ancoli-Israel 1, Katie L Stone 1
PMCID: PMC3600944  NIHMSID: NIHMS352297  PMID: 21828324

Abstract

Context

Sleep-disordered breathing (SDB), characterized by recurrent arousals from sleep and intermittent hypoxemia, is common among older adults. Cross-sectional studies have linked SDB to poor cognition; however, it remains unclear whether sleep disordered breathing precedes cognitive impairment in older adults.

Objectives

To determine the prospective relationship between sleep disordered breathing and cognitive impairment and to investigate potential mechanisms of this association.

Design, Setting, and Participants

Prospective sleep and cognition study of 298 women without dementia (mean [SD] age: 82.3 [3.2] years) who had overnight polysomnography (PSG) measured between January 2002 and April 2004 in a substudy of the Study of Osteoporotic Fractures. Sleep disordered breathing was defined as an apnea-hypopnea index of 15 or more events per hour of sleep. Multivariate logistic regression was used to determine the independent association of sleep disordered breathing with risk of mild cognitive impairment or dementia and adjustments were made for age, race, body mass index, education, smoking status, presence of diabetes, presence of hypertension, medication use (antidepressants, benzodiazepines, or non-benzodiazepine anxiolytics), and baseline cognitive scores. Measures of hypoxia, sleep fragmentation, and sleep duration were investigated as underlying mechanisms for this relationship.

Main Outcome Measures

Adjudicated cognitive status (normal, dementia, or mild cognitive impairment [MCI]) based on data collected between November 2006 and September 2008

Results

Compared with the 193 women without sleep disordered breathing, the 105 women (35.2%) with SDB were more likely to develop MCI/dementia (n=60 (31.1%) vs n=47 (44.8%)) even after multivariate adjustment (adjusted OR=1.85, 95% CI 1.11-3.08). Elevated oxygen desaturation index (≥15 events/hour) and high percentage (>7%) of sleep time in apnea or hypopnea, both measures of disordered breathing, were associated with risk of developing MCI/dementia (adjusted OR=1.71, 95% CI 1.04 − 2.83 and adjusted OR=2.04, 95% CI 1.10 − 3.78, respectively). Measures of sleep fragmentation (arousal index and wake after sleep onset) or sleep duration (total sleep time) were not associated with risk of cognitive impairment.

Conclusions

Among older women, those with sleep disordered breathing, compared with those without SDB, were associated with an increased risk of developing cognitive impairment.

INTRODUCTION

Sleep-disordered breathing (SDB), a disorder characterized by recurrent arousals from sleep and intermittent hypoxemia, is common among older adults and affects up to 60% of elderly populations.1 A number of adverse health outcomes including hypertension, cardiovascular disease, and diabetes have been associated with sleep disordered breathing.2-5 Cognitive impairment has also been linked to sleep disordered breathing, but the majority of studies have been cross-sectional or have relied on non-objective measures of sleep disordered breathing, thus limiting the ability to draw conclusions on the directionality of the association.6-8 It remains unclear whether sleep disordered breathing precedes cognitive impairment in community-dwelling elderly individuals.

Given the high prevalence and significant morbidity associated with both sleep disordered breathing and cognitive impairment in older populations, establishing whether a prospective association exists between SDB and cognition is important. This is especially important because effective treatments for sleep disordered breathing exist.9 Furthermore, investigation of the mechanisms through which these conditions are related can provide clues for the refinement and development of treatment and prevention strategies. Each of the two chief characteristics of sleep disordered breathing —sleep fragmentation and hypoxia—have possible negative effects on cognitive function, yet neither has been carefully investigated in large longitudinal studies.

We prospectively examined the association between prevalent sleep disordered breathing measured objectively with polysomnography and subsequent diagnoses of mild cognitive impairment (MCI) and dementia to look for evidence that sleep disordered breathing precedes cognitive impairment and assess possible mechanisms (hypoxia, sleep fragmentation, or sleep duration) to explain this association.

METHODS

Study Population

We studied participants enrolled in the Study of Osteoporotic Fractures (SOF), a multisite cohort study of community-dwelling women.10 Women who were aged 65 years or older and able to walk unassisted were recruited from population-based listings in four US areas: Baltimore County, Maryland; Minneapolis, Minnesota; Portland, Oregon; and the Monongahela Valley, near Pittsburgh, Pennsylvania. A total of 9,704 white women were enrolled between September 1986 and October 1988, and 662 black women were enrolled between February 1997 and February 1998. (Figure 1) At each site, the institutional review boards approved the study, and written informed consent was obtained from the participants.

Figure 1.

Figure 1

Progression of Patients Through the Study of Osteoporotic Fractures’ Sleep and Cognition Study

At the eighth clinic visit (January 2002 to April 2004) an ancillary study, the SOF Sleep and Cognition Study, was initiated at two clinical centers (Minneapolis and Pittsburgh, n=2732).6 This eighth clinic visit of SOF is the “baseline” visit for the Sleep and Cognition Study. Eligible women were invited to participate in the polysomnography (PSG) substudy. Potential participants were excluded if they reported use of a pressure mask (continuous positive airway pressure or bilevel positive airway pressure) or mouthpiece for snoring or sleep apnea during the past 3 months. In addition, participants were excluded if they had an open tracheostomy or reported regular use of oxygen therapy during sleep. Unattended overnight in-home polysomnography was completed in a convenience sample of 461 women.

Between November 2006 and September 2008 (ninth clinic visit, median follow up = 4.7 years, range 3.2-6.2 years), 305 of the 461 participants with polysomnography completed a battery of neuropsychological tests and subsequently had their cognitive status determined between September 2008 and August 2009. Of the 156 women who did not attend the ninth clinic visit, 70 had died and 9 were previously terminated from the study. Seventy seven women were excluded because they completed a minimal assessment visit (frequently collected by telephone). Of the 305 women who had a cognitive evaluation, 4 had missing or indeterminate cognitive data and were excluded and 3 women who screened positive for cognitive impairment (physician’s diagnosis of Alzheimer disease reported or low cognitive test score) also were excluded. Our analytic cohort is comprised of the 298 women with complete polysomnography data and cognitive assessment.

Polysomnography

Polysomnography data was collected in participants’ homes using the Compumedics Siesta Unit (Abbotsville, Australia). Channels included 2 central electroencephalograms (EEG), bilateral electrooculogram (EOG), chin electromyogram (EMG), thoracic and abdominal respiratory effort, airflow (using nasal-oral thermocouple and nasal pressure recording), finger pulse oximetry, electrocardiogram (ECG), body position, and bilateral piezoelectric sensors to detect leg movements. Data were evaluated by trained technicians, and sleep stage was assessed in 30-second epochs according to standard criteria.11 Apneas (complete cessation of airflow) and hypopneas (discernible [> 30%] reduction in airflow) were defined if occurring for 10 seconds or longer and accompanied by a 3% or greater oxygen desaturation. Arousals from sleep were defined as an abrupt shift in EEG frequency of 3 seconds or longer; arousals during rapid eye movement (REM) sleep required an increase in chin EMG activity.

Sleep disordered breathing was measured by the apnea-hypopnea index (AHI; number of apnea plus hypopnea events per hour of sleep), and prevalent sleep disordered breathing coded as apnea-hypopnea index of 15 or more events per hour.12 Calculated variables used as indices of hypoxia included the oxygen desaturation index (ODI), defined as number of oxygen desaturations ≥ 3% per hour of sleep and coded as ≥ 15 or < 15 events per hour;12 the percentage of sleep time with oxygen saturation (SaO2) < 90% coded as ≥ 1% of sleep time or < 1% sleep time with SaO2 < 90%; and the percentage of sleep time in apnea or hypopnea (>3% of oxygen desaturation coded into tertiles). Calculated variables of sleep fragmentation included arousal index (AI) defined as number of arousals per hour of sleep and minutes of wake after sleep onset (WASO) (both coded into tertiles). Sleep duration was measured as the total sleep time (TST) coded into tertile.

Cognitive Assessment

The shortened Mini-Mental State Examination (MMSE),13 a test of global cognition, and a modified version of Trails B,14 a test of executive function, were administered at all clinic visits including at baseline (eighth clinic visit). At the follow-up visit (approximately 5 years later), an expanded neuropsychological test battery was administered to women participating in the Sleep and Cognition ancillary study. This battery included Trails B, the Modified Mini-Mental State Examination (3MS),15 a 100-point extended version of the MMSE that has superior accuracy for dementia screening,16 the California Verbal Learning Test (CVLT) (Second Edition Short Form),17 Digit Span (from the Wechsler Adult Intelligence Scale-Revised),18 and category and verbal fluency tests.19

Cognitive impairment was determined in a 2-step process.20 First, women were screened for 1 or more of the following criteria: 1) score <88 on the 3MS; 2) score <4 on the CVLT delayed recall; 3) score ≥3.6 on the Informant Questionnaire on Cognitive Decline in the Elderly;21 4) previous diagnosis of dementia or use of medication for dementia; or 5) nursing home residence. The women who screened positive had their clinical cognitive status adjudicated by a panel of clinical experts who were blinded to the women’s sleep disordered breathing status. The panel reviewed all cognitive, self reported medical history, and functional data. The women who screened negative were considered cognitively normal. A diagnosis of dementia was made based on Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) criteria.22 MCI was diagnosed using the modified criteria by Peterson et al 23, 24 (data on subjective memory loss was available for some but not all women) which requires a cognitive impairment that is insufficient to meet criteria for dementia and reflects generally intact function.

Other measures

Participants completed a questionnaire assessment of medical history and underwent a brief physical examination at each study visit. Information on age, race, height and weight, educational attainment, self-reported current smoking, self-reported history of a physician’s diagnosis of diabetes mellitus, hypertension, and stroke were included in the analyses as potential confounders. Body Mass Index (BMI) was calculated as weight in kilograms divided by height in meters squared. A score of 6 or greater on the Geriatric Depression Scale was used to define high depressive symptoms. Current use of medication was verified by examination of pill bottles; medications were categorized using a computerized coding dictionary according to brand or generic names.25 Drug categories included anti-depressants, benzodiazepines, and non-benzodiazepine anxiolytics.

Statistical Analysis

We first determined median polysomnography parameters. To compare baseline characteristics of women with sleep disordered breathing with those without sleep disordered breathing, we used chi-square and t-tests. We then calculated unadjusted and multivariate logistic regression models to examine the association between sleep disordered breathing and MCI/dementia. Multivariate models were adjusted for age, race, BMI, education, smoking, diabetes, hypertension, antidepressant use, benzodiazepine use, and non-benzodiazepine anxiolytics use; additional models were adjusted for cognitive test scores at baseline. Next, we examined models with individual measures of hypoxia and disordered breathing, sleep fragmentation, or sleep duration as predictors of cognitive impairment.

Results are presented as odds ratios (OR) with 95% confidence intervals. A p-value of less than .05 was considered significant and 2-sided tests were used. All statistical analyses were performed using SAS software, version 9.1 (SAS Institute Inc, Cary, North Carolina).

RESULTS

Of the 298 women studied, most were white (n=269; 90.3%), had a mean age of 82.3 years, and 30.2% graduated from high school and attended college. Compared with the other women who attended the ninth clinic visit but did not participate in our substudy (n=1430), the 298 women who participated were younger, had slightly greater BMIs, and slightly better cognitive scores at the eighth clinic visit (mean age: 82.3 years vs 83.5 years, respectively p<0.001; mean BMI: 28.3 kg/m2 vs 27.1 kg/m2, p<0.001; mean MMSE score: 25.0 vs 24.5, p=0.002 and mean Trails B score: 127.6 vs 159.2, p<0.001), but did not differ on other characteristics. The median apnea-hypopnea index and oxygen desaturation index were 10 and 14.5 events per hour of sleep respectively. Among the 298 women, 105 (35.2%) met criteria for sleep disordered breathing with an apnea-hypopnea index of 15 or more events per hour. Women with and without sleep disordered breathing did not differ on baseline characteristics (Table 1). Median total sleep time was 6.0 hours with a median of 18.0 arousals per hour of sleep and median wake after sleep onset of 79.0 minutes (Table 2).

Table 1.

Baseline characteristics by sleep disordered breathing status (N=298)

Characteristic, mean ± SD or N (%) No SDB (n= 193) Prevalent SDB (n=105) p-value
Age, years 82.1 ± 3.2 82.6 ± 3.1 0.24
White 173 (90) 96.0 (91) 0.62
Education >high school 60 (31) 30 (29) 0.65
Body mass index, kg/m2 27.9 ± 4.8 28.7 ± 5.3 0.20
Prevalent diabetes 19 (10) 17 (16) 0.11
Prevalent hypertension 116 (60) 69 (66) 0.34
History of stroke 25 (13) 11 (11) 0.53
High number of depressive symptoms 23 (12) 9 (9) 0.37
Current smokinga 5 (100) 0 (0) 0.17
Current Medication use
 Antidepressants 16 (8) 8 (8) 0.84
 Benzodiazepines 14 (7) 9 (9) 0.68
 Non-benzodiazepine anxiolytics 5 (3) 2 (2) 0.71
Mini-Mental State Examination 24.9 (1.2) 25.1 (1.1) 0.22
Trails B 130.1 (54.8) 122.9 (52.1) 0.48
a

Fisher’s exact test

Table 2.

Sleep disordered breathing, sleep fragmentation, and sleep duration measures (N=298)

Median Interquartile Range
Apnea-Hypopnea Index, events/hour of sleep 10.0 5.2 - 19.5
Hypoxia/Disordered Breathing Measures
 Oxygen Desaturation Index, events/hour of sleep 14.5 8.1 - 23.6
 Sleep time with SaO2 < 90%, % 0.5 0.1 - 2.8
 Sleep time in apnea/hypopnea with >3% desaturation, % 4.2 1.4 - 9.2
Sleep Fragmentation Measures
 Arousal Index, arousals/hour sleep 18.0 12.4 - 26.3
 Wake after sleep onset, minutes 79.0 52.0 - 125.0
Sleep Duration Measure
 Total sleep time, hours 6.0 5.3 - 6.7

After a mean of 4.7 years of follow-up, 107 (35.9%) women developed MCI or dementia (MCI: n=60 (20.1%), dementia: 47 (15.8%) developed dementia. Women who developed MCI/dementia had lower baseline scores on cognitive tests but otherwise did not differ on baseline characteristics from those who did not develop cognitive impairment or dementia. Forty-seven women (44.8%) with prevalent sleep disordered breathing developed MCI/dementia compared with 31.1% (60/193) of those without SDB (p=0.02).

The presence of sleep disordered breathing was associated with an increased odds of subsequent MCI/dementia (OR=1.80, 95% CI 1.10 − 2.93). Adjustment for age, race, BMI, education, smoking, diabetes, antidepressant use, benzodiazepine use, and use of non-benzodiazepine anxiolytics led to similar results (OR=1.85, 95% CI 1.11-3.08). Additional adjustment for baseline cognitive test scores strengthened the association (OR=2.36, 95% CI 1.34-4.13). When mild cognitive impairment and dementia were analyzed separately, results were consistent with the combined analysis, although with reduced power to detect a difference (eTable at http://www.jama.com).

We also investigated the relationship of hypoxia, sleep fragmentation, and a measure of sleep duration on risk for MCI/dementia. Two measures of hypoxia, an oxygen desaturation index of ≥15 and a high percentage of total sleep time (>7.0%) in apnea or hypopnea, were associated with higher incidence of MCI/dementia (ODI≥15 vs ODI<15: OR=1.67, 95% CI 1.03-2.69 and >7.0% Sleep time in apnea or hypopnea vs ≤7.0%: OR=1.79, 95% CI 1.01-3.20) (Table 3).

Table 3.

Mild cognitive impairment (MCI) or dementia among older women according to hypoxia, sleep fragmentation, or sleep duration measures

No. (%) with MCI/dementia Unadjusted OR (95% CI) Adjusted OR (95% CI)a
Hypoxia/Disordered Breathing Measures
 Oxygen Desaturation Index
  <15 events/hr 46 (43.4) 1.00 1.00
  ≥15 events/hr 60 (56.6) 1.67 (1.03, 2.69) 1.71 (1.04, 2.83)
 Sleep time with SaO2 < 90%
  < 1% sleep time 64 (59.8) 1.00 1.00
  ≥1% sleep time 43 (40.2) 0.87 (0.54, 1.41) 0.83 (0.51, 1.38)
 Sleep time in apnea/hypopnea (%), tertileb
  Low (0.9, 0.0-2.2) 31 (29.0) 1.00 1.00
  Mid (4.4, 2.3-7.0) 31 (29.0) 1.00 (0.55, 1.82) 1.16 (0.61, 2.20)
  High (16.4, 7.0-66.8) 45 (42.1) 1.79 (1.01, 3.20) 2.04 (1.10, 3.78)
Sleep Fragmentation Measures
 Arousal Index (arousals/hour), tertile
  Low (10.1, 2.4-14.5) 44 (41.5) 1.00 1.00
  Mid (18.2, 14.6-22.6) 30 (28.3) 0.52 (0.29, 0.94) 0.54 (0.29, 0.98)
  High (33.1, 22.6-66.4) 32 (30.2) 0.59 (0.34, 1.06) 0.58 (0.32, 1.07)
 Wake after sleep onset (minutes), tertile
  Low (40.7, 2.0-61.0) 31 (29.0) 1.00 1.00
  Mid (82.0, 62.0-105.0) 32 (29.9) 1.06 (0.58, 1.94) 1.17 (0.63, 2.19)
  High (170.6, 108.0-336.0) 44 (41.1) 1.69 (0.95, 3.02) 1.79 (0.97, 3.29)
Sleep Duration Measure
 Total sleep time (minutes), tertile
  Low (269.9, 128.0-330.0) 41 (38.3) 1.00 1.00
  Mid (358.2, 331.0-385.0) 29 (27.1) 0.56 (0.31, 1.01) 0.58 (0.31, 1.09)
  High (425.5, 386.0-630.0) 37 (34.6) 0.83 (0.47, 1.47) 0.83 (0.46, 1.51)

Abbreviations: OR = Odds ratio; CI = Confidence Interval

a

Adjusted for age, race, body mass index, education, smoking, diabetes, hypertension, antidepressant use, benzodiazepine use, and non-benzodiazepine anxiolytics use

b

(median, range)

Sleep time with an oxygen desaturation of less than 90% was not significantly associated with MCI/dementia. Conversely, no significant association was seen for the sleep fragmentation or sleep duration measures of arousal index, wake after sleep onset, or total sleep time, before or after adjustment for covariates. Measures of hypoxia remained significant even after adjusting for covariates and baseline cognitive test scores (ODI: OR=1.98, 95% CI 1.15-3.43 and Sleep time in apnea/hypopnea: OR=2.32, 95% CI 1.19-4.54).

DISCUSSION

Among older women, sleep disordered breathing was associated with an increased risk of developing cognitive impairment 5-years later. In addition, even after adjusting for demographic risk factors and comorbidities, we found that 2 of 3 indices of hypoxia, but not sleep fragmentation or duration, were associated with incident MCI or dementia, suggesting that hypoxia is a likely mechanism through which sleep disordered breathing increases risk for cognitive impairment.

Prior cross-sectional studies of sleep disordered breathing and cognitive function in elderly populations have reported conflicting results; some investigations have reported associations of sleep disordered breathing with either lower cognitive test scores or dementia6-8 while others have not.26, 27 Such divergent findings could be due to the differences in measurement and definition of sleep disordered breathing or of cognitive impairment. These earlier cross-sectional studies are also limited in establishing the causal pathway of this association. Our investigation is the first, to our knowledge, to report on the longitudinal relationship between sleep disordered breathing and risk of MCI/dementia.

We explored possible mechanisms (hypoxia and sleep fragmentation or duration) through which sleep disordered breathing might increase the risk for cognitive impairment. Sleep itself plays a critical role in the consolidation of long-term memory which occurs during slow-wave sleep.28 While experimental studies have reported inconsistent effects of sleep fragmentation and hypoxia on deficits in neurocognitive performance,29-33 the literature does not extend to the long term effects of sleep on cognition.

In our study, none of the sleep fragmentation or duration measures had a significant association with cognitive impairment after accounting for potential confounders, while the hypoxia measures were consistently associated with MCI/dementia. This suggests that hypoxia is a likely mechanism for this relationship which is supported by recent animal models of chronic hypoxia that demonstrated similar impairments in cognition with possible implications for apolipoprotein E, inflammatory, and regulatory pathways.34 However, it is important to note that because cerebral blood flow may be affected in elderly patients35, other mechanisms such as hypercapnia could also be involved.

In patients with Alzheimer disease, therapeutic trials of treatment with continuous positive airway pressure (CPAP) for sleep disordered breathing have been shown to slow or even improve cognitive impairment.36, 37 Furthermore, a recent investigation of individuals with sleep apnea indicated that treatment with continuous positive airway pressure not only improved cognitive scores, but also increased grey matter volume in the hippocampal and frontal regions.38

To fully evaluate the impact of treatment for sleep disordered breathing in elderly populations, additional trials with larger sample sizes, longer treatment periods, and more diverse populations are required. Of interest, our findings suggest a potential role for supplemental oxygen therapy for sleep disordered breathing in elderly individuals; however, its role requires critical evaluation in intervention studies. In addition, future studies should consider the association of sleep disordered breathing with impairment in specific cognitive domains as well as changes in these variables over time.

Both the oxygen desaturation index and percentage time in apnea or hypopnea were associated with incident cognitive impairment. The oxygen desaturation index is a measurement of intermittent hypoxemia while the time in apnea or hypopnea estimates the proportion of the sleep period during which the respiration consists of apneas and hypopneas. Unlike the apnea-hypopnea index, which is simply a count of apneas plus hypopneas per hour of sleep (can be elevated when breathing disturbances occur frequently but are of brief duration), the percentage of time in apnea or hypopnea reflects both the frequency and duration of breathing disturbances and thus may better reflect sleep-related gas exchange abnormalities than the apnea-hypopnea index.

Percentage of time in oxyhemoglobin desaturation, as measured by sleep time with oxygen saturation of less than 90% in our study, is another measure of sleep-related hypoxemia and was not significantly associated with mild cognitive impairment or dementia; however, it may not reflect the effects of intermittent hypoxemia as well as the other 2 indices of hypoxemia. Studies suggest intermittent hypoxia, rather than continuous hypoxia, is associated with greater risk of oxidative stress and adverse outcomes.39, 40

Although our prospective design with objective measures of sleep disordered breathing and rigorous methods to diagnose cognitive impairment supports the hypothesis that sleep disordered breathing precedes dementia, there are several limitations that warrant consideration. While measurement of polysomnography data in a sleep laboratory over multiple nights is the criterion standard, several studies indicate that polysomnography measures in the home vs in the lab taken during 1 night vs multiple nights are reliable, although misclassification bias is possible.41-43 In this study, polysomnography data was collected in the home for only 1 night so variability in sleep disturbance measures over time may not have been captured. Because the Study of Osteoporotic Fractures cohort is composed of mostly white women, these findings may not be generalizable to men or more ethnically diverse populations. Finally, because women with more severe sleep disordered breathing or cognitive impairment were less likely to survive to the eighth and ninth decades of life, there may be a survival bias in our results, but this would most likely result in an underestimate of the association.

Conclusions

We found that among women with a mean age of 82 years, sleep disordered breathing was associated with an increased risk of cognitive impairment. Our results indicate that this relationship seems to be related primarily to measures of hypoxia. Given the high prevalence of both sleep disordered breathing and cognitive impairment among older adults, the possibility of an association between the 2 conditions, even a modest one, has the potential for a large public health impact. Furthermore, the finding that hypoxia and not sleep fragmentation or duration seems to be associated with risk of MCI/dementia provides clues to the mechanisms through which sleep disordered breathing might promote cognitive impairment. The increased risk for cognitive impairment associated with sleep disordered breathing opens a new avenue for additional research on the risk for development of MCI/dementia and exploration of preventive strategies that target sleep quality including sleep disordered breathing.

Acknowledgments

Study funding/Support: 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. In addition, this study was supported by NIA AG026720.

Dr. Yaffe is supported in part by NIA grant K24AG031155.

Dr. Spira is supported by a Mentored Research Scientist Development Award NIA 1K01AG033195.

Dr. Ancoli-Israel is supported by NIA grant AG08415.

Role of the Study Sponsor: The National Institute on Aging did not participate in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.

Footnotes

Author Contributions: Dr. Yaffe had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Yaffe, Laffan, Stone

Acquisition of data: Stone, Ensrud

Analysis and interpretation of data: Yaffe, Laffan, Harrison Litwack, Redline, Spira, Ensrud, Ancoli-Israel

Drafting of the manuscript: Yaffe, Laffan

Critical revision of the manuscript for important intellectual content: Yaffe, Laffan, Redline, Spira, Ensrud, Ancoli-Israel

Statistical analysis: Harrison Litwack

Obtained funding: Stone, Ensrud, Yaffe

Study supervision: Stone, Ensrud

Conflict of Interest/Disclosures:

Dr Yaffe reported that she is a consultant for Novartis Inc; serves on data and safety monitoring boards for Pfizer, Medivation, and the National Institute of Mental Health; is a board member for Beeson Scientific Advisory; has grants pending with the National Institutes of Health, the Alzheimer Association, the Department of Defense, and the American Health Assistance Foundation; and has received funding for expenses unrelated to the activities listed from the Alzheimer Association, the National Institutes of Health, Beeson Scientific, Japan Geriatrics Society, Wake Forest University, and the State of California Department of Human Services. Dr Laffan reported that she received salary support and was reimbursed for travel to professional society meetings from the National Institutes of Health. Dr Redline reported that her institution received a California Pacific Medical Center subcontract via a National Institutes of Health grant; she is a board member for the American Academy of Sleep Medicine; her institution has received an endowment for a professorship in sleep medicine from Dr Peter Farrell, CEO of RosMed Inc; and has multiple grants pending with the National Institutes of Health on sleep apnea. Dr Spira reported that he has received honoraria as a clinical editor for the International Journal of Sleep and Wakefulness—Primary Care, which receives pharmaceutical industry support. Dr Ancoli-Israel reported that she is a consultant for Johnson & Johnson, Merck, Purdue Pharma LP, sanofi-aventis, and Pfizer and has grants pending with the National Institutes of Health. No other disclosures were reported.

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