Abstract
The negative effects of impaired sleep on physical and mental well-being in older adults have recently been recognized by health care professionals. However, researchers and clinicians may be unaware of reliable and valid screening and evaluation tools for evaluating sleep disorders in older adults. The purpose of this article is to present subjective and objective instruments that measure sleep quality, excessive daytime sleepiness, obstructive sleep apnea, insomnia and restless leg syndrome that are appropriate for use in adult and older adult patients.
Keywords: insomnia, restless leg syndrome, sleep apnea, questionnaires, actigraphy, polysomnography
Sleep is a complex physiological and behavioral process that is composed of two distinct states, non-rapid eye movement (NREM stages 1–3) and rapid eye movement (REM), each with unique characteristics. Older adults experience age-related changes in sleep architecture including less slow-wave sleep (NREM stage 3) and REM sleep that result in lighter, more fragmented sleep1. In addition to changes in sleep architecture, circadian rhythm-related changes are also present in older adults, with many having an advanced phase rhythm resulting in an early bedtime and rise time1. Age-related changes in sleep combined with medical and psychiatric conditions that accompany older age lead to many older adults having sleep complaints, with approximately 50% reporting difficulty sleeping2. Sleep complaints in older adults are often symptoms of insomnia, including difficulties initiating and maintaining sleep and early morning awakenings. Insomnia can be a primary sleep disorder; however, in older adults, it is often co-morbid with medical and psychiatric illnesses and medications and other sleep disorders such as obstructive sleep apnea (OSA) and restless legs syndrome (RLS)1. OSA and RLS are more common in older than younger adults3,4. Sleep disorders can have significant consequences for the elderly, including increased risk for psychiatric disorders and serious medical conditions, reduced quality of life, cognitive impairment, increased risk for falls, and increased risk for mortality4,5.
Poor sleep and excessive daytime sleepiness can occur in association with various sleep disorders, medical and psychiatric conditions, and sleep deprivation or due to medication effects. Excessive daytime sleepiness in older adults is associated with cognitive impairment, depressive symptoms, impairments in daily function, and an increased risk for cardiovascular mortality6. Impairments in cognitive function associated with excessive sleepiness can result in motor-vehicle accidents7.
The importance of sleep to optimal physical and mental health has been increasing recognized by clinical researcher. Unfortunately, identification of sleep problems by health care providers largely depends on patients’ disclosure of these problems and older adults may assume that changes in their sleep are due to normal aging. Given the high prevalence of sleep disorders, an assessment of sleep is recommended as a routine component of geriatric care and as an important component of research involving older adults. Having knowledge of assessment tools for common sleep disorders is important for assessment of impaired sleep and development of subsequent interventions, which can have a significant impact on patient’s quality of life.
Purpose
There are many questionnaires that can be used to assess sleep depending on what aspect one is interested in evaluating. This article presents some of the most widely used questionnaires and provides information about psychometric properties, patient burden, instrument accessibility and administration. Although subjective assessments are often faster and less expensive, objective measures of sleep (actigraphy, in-laboratory and in-home polysomnography (PSG), and the Multiple Sleep Latency Test [MLST]) are used for diagnosis and evaluation of many sleep disorders. Nurse researchers and clinicians must carefully consider their objective when determining which method to use for assessment of sleep. Whereas the ease of administration and low cost associated with questionnaires and sleep diaries make these subjective sleep measures applicable for both individual evaluation of patients in clinical practice and population-based screening in clinical research, objective measures of sleep may have limited utility for clinical research given the cost and complexity. The purpose of this article is to present subjective and objective assessment tools for four common sleep disorders found among older adults, insomnia, excessive daytime sleepiness, OSA, and RLS, that can be used in clinical practice and potentially clinical research with older adults and adults of any age.
Subjective Sleep Measures and Sleep Diary
Sleep quality and daytime function
Table 1 lists subjective sleep measures for assessment of sleep quality, daytime sleepiness, and functional outcomes. A general assessment of sleep quality can be obtained using the Pittsburgh Sleep Quality Index (PSQI) or the Patient-Reported Outcomes Measurement Information System (PROMIS) sleep disturbance instrument, which will be discussed below. Excessive sleepiness is characterized by difficulty in maintaining a desired level of wakefulness1. Two commonly used questionnaires for assessment of daytime sleepiness and functional impairments associated with daytime sleepiness are also discussed, the Epworth Sleepiness Scale (ESS) and Functional Outcomes of Sleep Questionnaire (FOSQ).
Table 1.
Measure | Purpose | Number of items | Score Interpretation & Psychometrics | Additional Information |
---|---|---|---|---|
Pittsburgh Sleep Quality Index20 |
|
|
|
|
PROMIS Sleep Disturbance21 |
|
|
|
|
Epworth Sleepiness Scale22 |
|
|
|
|
Functional Outcomes of Sleep Questionnaire23 |
|
|
|
|
Note: PSQI, Pittsburgh Sleep Quality Index; FOSQ, Functional Outcomes of Sleep Questionnaire
Pittsburgh Sleep Quality Index
The PSQI assesses self-reported sleep quality and disturbances over the last one month time period8. The PSQI includes 19 items to measure seven domains of sleep quality: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, daytime dysfunction, sleep disturbance and use of sleeping medications. Four items have free-entry responses to assess usual bed and wake times, number of minutes to fall asleep, and hours slept per night. The remaining items use 4-point Likert scale responses, with higher scores indicating worse sleep quality. Five additional items are included in the questionnaire that are completed by a bedpartner but are not included in the calucation of the global sleep quality score. A global sleep quality score is obtained by summing the seven domian scores, with higher scores indicating worse sleep quality (range = 0–21). A PSQI score greater than 5 indicates a “poor” sleeper. An early evaluation of the PSQI by Buysse and colleages (1991)9 concluded that sleep quality frequently decreases among older adults; however, the majority of persons 80+ years old were found to have PSQI scores indicating “good” sleep quality. More recently, the PSQI was evaluated in samples of older men and women and was affirmed as being a reliable and valid instument to evaluate subjective sleep quality in older adults10.
PROMIS Sleep
The PROMIS sleep disturbance item bank (e.g., 27 questions in total) assesses self-reported perceptions of sleep quality, sleep depth, and satisfaction with sleep over the past week11. More specifically, these items evaluate difficulties getting to sleep and staying asleep, refreshment upon waking, and worry over falling sleep. Not included in the PROMIS sleep disturbance items are symptoms of specific sleep disorders (sleep apnea, narcolepsy) or subjective estimates of time (time to fall asleep, total hours asleep). The instrument uses five-item Likert scales to assess sleep variables. The PROMIS sleep disturbance instrument and scoring instructions can be obtained on the PROMIS website through Assessment Center (www.assessmentcenter.net). Although the PROMIS sleep instrument was developed and pilot tested in samples that included older adults, the reliability and validity of the instrument needs further validation in older adults.
Epworth Sleepiness Scale
The ESS is a 8-item questionnaire that assesses subjective daytime sleepiness12. The ESS assesses the likelihood of dozing in different common situations using a 4-point Likert response format (scored from 0 to 3 with higher scores indicate more severe sleepiness). Item responses are summed to obtain a total scores ranging from 0 to 24, with a score greater than 10 indicating excessive daytime sleepiness12. The ESS is routinely used in research and clinical practice to evaluate the presence and severity of excessive daytime sleepiness in older adults. The ESS was recently evaluated in samples of men and women ages 70 years and older and was found to be a reliable and valid instrument for evaluation of subjective sleepiness10. However, another study of older adults (mean age 78.9 ± 6.0 years) found that almost 60% had difficulty answering at least one question on the ESS and only 25% who complained of sleepiness had abnormal scores on the ESS 13. In addition, the participants rated their sleepiness with the ESS less severe than did a close relative, and this discrepancy in ESS was most pronounced in older adults with impaired cognitive status. This suggests that the reliability and validity of the ESS may need further evaluated and that multiple sources of appraisal of sleepiness may be appropriate in the cognitively impaired older adult.
Functional Outcomes of Sleep Questionnaire
The FOSQ-30 assesses the impact of disorders of excessive sleepiness on functional outcomes of daily activities and quality of life14. The FOSQ-30 consists of 30 questions about difficulty in performing daily tasks due to sleepiness that are rated on a 4-point Likert scale (score from 1 to 4 with higher scores indicating better functional status). Respondents can also indicate that they do not engage in the activity for reasons other than being sleepy or tired. The FOSQ-30 addresses the following five domains – 1) activity level, 2) vigilance, 3) intimacy and sexual relationships, 4) general productivity, and 5) social outcomes. A shortened, 10-question version, called the FOSQ-10, has been developed and tested15. Both the FOSQ-30 and FOSQ-10 are scored by calculating an average score for each subscale and then totaling the 5 subscales to produce a total score. Higher scores indicate better functional status. The FOSQ was able to differentiate functional outcomes sensitive to sleepiness (general productivity, vigilance, activity level, social outcomes, and total functioning) between older adults (ages 65 and older) with daytime sleepiness compared to those older adults without daytime sleepiness6.
Subjective Measures for Insomnia
Table 2 list the evaluation tools for assessing insomnia. The measures include the Consensus Sleep Diary (CSD) and the Insomnia Severity Index (ISI).
Table 2.
Measure | Purpose | Number of items | Score Interpretation & Psychometrics | Additional Information |
---|---|---|---|---|
Consensus Sleep Diary33 |
|
|
|
|
Insomnia Severity Index34,35 |
|
|
|
|
Insomnia
Insomnia can be defined as a symptom or as a disorder denoting insomnia symptoms and associated daytime impairment. Subtypes of insomnia have been characterized based on frequency, duration (acute vs. chronic), and etiology. An estimated one-third of all U.S. adults experience insomnia symptoms (i.e., difficulty falling asleep, difficulty staying asleep, early awakenings, or unrefreshing or nonrestorative sleep); 6–10% meet diagnostic criteria for chronic insomnia16. In a study of over 9,000 community-dwelling adults aged 65 years or older, over half of the sample reported having at least one insomnia symptom most of the time17. Psychological, health, lifestyle, and environmental factors have been identified as precipitants of insomnia18. Medical disorders and psychiatric conditions, in particular anxiety and depression, and associated medications can have a profound impact on sleep and lead to comorbid insomnia. Stressful events and changes in the sleeping environment can also precipitate insomnia. Adopting habits such as maintaining an irregular sleep schedule, consuming caffeine or alcohol before bed, exercising close to bedtime, napping, and using the bed for activities other than sleeping and sex can hinder the ability to fall asleep and stay asleep. Maladaptive beliefs about sleep and preoccupation with sleep during daytime hours can maintain chronic insomnia18. Insomnia increases the risk of developing serious medical conditions such as depression, diabetes, hypertension, and cardiovascular disease18.
Consensus Sleep Diary
The CSD was developed in 2008 by a committee of insomnia experts with the objective to create a standardized sleep diary for research and clinical use19. The purpose of the CSD core diary is to gather information on time to bed, time to fall asleep, number and length of awakenings, time of final awakening, qualitative rating of sleep quality, and comments. Two optional versions exist with additional questions asking if the final awakening was earlier than planned and by how much, whether one felt well-rested, napping or dozing behavior during the day, alcohol or caffeinated beverage consumption, and use of over-the-counter or prescription sleep medications. Use of a sleep diary should be considered when assessing for insomnia in older adults. A study of older adults (N = 119, mean age = 71.7 ± 7.2 years) found that a sleep diary was more sensitive to identifying older adults with insomnia compared to actigraphy20.
Insomnia Severity Index
The ISI is a self-report instrument designed to evaluate the severity and impact of insomnia symptoms over the past 2 weeks21. The ISI consists of 7 items assessing the degree of difficulty in falling asleep, staying sleep, and waking up too early using a 5-point Likert scale. Patients are asked about their satisfaction with their current sleep pattern, whether their sleep problem is noticeable to others, and whether it causes worry or distress to them or interferes with their daytime functioning. Total scores range from 0 to 28, with higher scores indicating greater insomnia severity.
Subjective Assessment Measures for Obstructive Sleep Apnea and Restless Leg Syndrome
Table 3 lists the subject measures for obstructive sleep apnea (i.e., Berlin Questionnaire and the OSA50) and restless leg syndrome (i.e., International Restless Legs Syndrome Scale).
Table 3.
Measure | Purpose | Number of items | Score Interpretation & Psychometrics | Additional Information |
---|---|---|---|---|
Obstructive sleep apnea | ||||
Berlin Questionnaire38 |
|
|
|
|
OSA5039 |
|
|
|
|
Restless legs syndrome | ||||
International Restless Legs Syndrome Scale42 |
|
|
|
|
Note: OSA, obstructive sleep apnea; RLS, restless legs syndrome
Obstructive sleep apnea
OSA is an increasingly prevalent sleep disorder characterized by repetitive apneas (pauses in breathing) and hypopneas (very shallow breaths) caused by intermittent airway collapse during sleep with resultant sleep fragmentation. OSA affects 3%–7% and 2%–5% of middle-age men and women, respectively22. Comparatively, in a sample of 427 older adults, 62% were found to have a respiratory disturbance index (RDI, number of apneas and hypopneas per hour of sleep) ≥ 10 indicating mild to severe sleep apnea3. Risk factors for OSA include male gender, older age, obesity, smoking, nasal congestion, menopause, and craniofacial and upper airway abnormalities23. The classic symptoms of OSA are loud snoring, gasping and choking, witnessed apneas, and excessive daytime sleepiness. OSA is diagnosed by in-laboratory or in-home PSG based on an apnea-hypopnea index (AHI, number of apneas and hypopneas per hour of sleep) greater than 5. Untreated OSA can result in a variety of adverse medical and daytime consequences, including excessive daytime sleepiness, psychological symptoms, cognitive and performance impairments, reduced quality of life, and increased risk for cardiovascular disease and mortality24. The following screening questionnaires for sleep apnea will be discussed: Berlin Questionnaire and OSA50.
Berlin Questionnaire
The Berlin Questionnaire is used to screen patients for OSA and was originally validated in primary care patients25. The Berlin Questionnaire consists of three different domains or categories for a total of 10 questions. Category 1 questions (5 items) ask about snoring and witnessed apneas and a person is considered to be high-risk if persistent symptoms (3–4 times per week) is endorsed on 2 or more questions. Category 2 questions (4 items) ask about daytime fatigue and sleepiness and a person is considered to be high-risk if persistent (3–4 times per week) wake-time sleepiness, drowsy driving, or both are endorsed. For category 3, a person is considered high-risk if they have a history of hypertension or a body mass index < 30 kg/m2. If two of the three categories are considered high-risk, then the patient is considered to be at high risk for OSA25. A study of older adults (N = 643, mean age 65.6 ± 0.03) concluded that the Berlin Questionnaire was valuable for screening older adults for sleep study evaluation but did not have the sensitivity or specificity to diagnose OSA26.
OSA50
OSA50 is a screening questionnaire for OSA that has four items, including waist circumference, snoring, witnessed apneas, and age27. Patients are asked about snoring and witnessed apnea using questions from the Berlin Questionnaire. Males with waist circumferences > 102 cm and females with waist circumferences > 88 cm receive 3 points. Those who report snoring that bothers other people also receive 3 points. Those with witnessed apneas and/or age 50 years or older receive 2 points. Total maximum score is 10, with a score of ≥ 5 indicating a high probably of OSA.
Restless legs syndrome
RLS is a common neurologic disorder affecting between 9% – 20% of older adults based on diagnostic criteria4. RLS is characterized by unpleasant leg sensations typically at sleep onset that triggers an urge to move the legs. These sensations often occur at rest and become more severe in the evening and at night. These leg sensations can be temporarily alleviated by moving the legs. Risk factors for RLS include low iron levels, lower socio-economic status, poor health, increasing age, Parkinson’s disease, and end stage renal disease28. RLS is associated with insomnia symptoms, depression, and several medical conditions including cardiovascular disease, obesity, and diabetes4. The International Restless Legs Syndrome Scale is the most commonly used questionnaire for assessing RLS.
International Restless Legs Syndrome Scale
The International RLS scale is a self-report questionnaire designed to evaluate the severity of RLS symptoms and its impact on daily life over the past week using a 5-point Likert scale29. The International RLS Scale consists of 10 items that assess the following features: overall rating of primary symptom features, intensity and frequency of related symptoms, sleep problems associated with RLS, and impact of RLS symptoms on mood and daily life. Total score range from 0 to 40, with higher scores indicating greater RLS symptoms and impact.
Objective Sleep Measures
Table 4 presents objective measures of sleep, including actigraphy, in-lab PSG, in-home PSG, and MLST.
Table 4.
Measure | Description | Purpose | Advantages | Disadvantages |
---|---|---|---|---|
Actigraphy43 |
|
|
|
|
In-laboratory PSG44 |
|
|
|
|
In-home sleep testing46 |
|
|
|
|
Multiple Sleep Latency Test48 |
|
|
|
|
Note: PSG, polysomnography; REM, rapid eye movement; CPAP, continuous positive airway pressure
Actigraphy
Actigraphy utilizes a portable device (actigraph) to study sleep-wake patterns and circadian rhythms by assessing movement30. The actigraph is about the size of a wristwatch and is usually worn on the wrist continuously for multiple days and nights. The actigraph records the presence and/or amplitude of movement several times per second, and stores these in 30 or 60 second epochs. Data from the actigraph is downloaded using a “reader”, a device connected to a computer. Using a computer program, data is analyzed and a histogram can be printed that displays an individual’s activity levels for each epoch over each 24-hour period. Sleep-wake patterns including total sleep time, total wake time, sleep efficiency (total sleep time/total time in bed), sleep latency, and number and length of wake episodes after sleep onset are estimated based on the periods of activity and inactivity based on movement30. Actigraphy can be an objective supplement to sleep diaries. Actigraphy has been found to be a reliable and valid instrument to examine ecologically valid sleep patterns in older adults especially if the device is used over a 7-to 14-day time period31.
In-laboratory polysomnography
The in-laboratory PSG is considered the “gold standard” for the evaluation of sleep according to the American Association of Sleep Medicine32. Prior to an in-laboratory or a home sleep study, a detailed history and physical examination is recommended including evaluation of sleep patterns and symptoms of sleep disorders. An in-laboratory PSG is attended by a trained polysomnographic technologist and usually includes the recording montage first described by Rechtschaffen and Kales33 of central electroencephalogram (EEG) (C3 or C4), reference occipital EEG (O1 or O2), right and left electro-oculogram (EOG), mental or submental electromylogram (EMG), thoracic effort, abdominal effort, nasal and oral airflow, a microphone to record snoring, pulse oxygen saturation, EKG, and video recording to document body positions during sleep. The equipment is calibrated prior to allowing the patient to go to sleep. This recording can determine sleep stages, the total time in each sleep stage, total sleep time, sleep efficiency, sleep latency, REM sleep latency, wake after sleep onset, and arousals. In-laboratory PSG studies are used for the diagnosis of sleep disordered breathing disorders, narcolepsy, parasomnias, and sleep related seizure disorder. PSGs are not indicated in the routine diagnosis or management of transient or chronic insomnia. In-laboratory sleep studies are recommended for patients with congestive heart failure, history of stroke, or cardiac arrhythmias.
In-home sleep testing
In-home sleep testing is a less expensive and convenient alternative to in-laboratory PSG for patients with a high probability of moderate to severe OSA34. In-home sleep testing enables diagnosis of OSA in patients’ home environment using unattended, portable monitors which must record airflow, respiratory effort, and blood oxygenation. Application of the portable monitor sensors can be done by a sleep technician or the patient after training. In-home sleep testing should be used in conjunction with a comprehensive sleep evaluation and interpreted by a sleep specialist34. In-home sleep testing is not appropriate patients with significant comorbid conditions, such as congestive heart failure, neuromuscular disease and severe pulmonary disease, or other sleep disorders, but can be useful for patients who cannot attend an in-laboratory PSG due to immobility34.
Multiple Sleep Latency Test
The MSLT is used to objectively evaluate physiological disorders of excessive sleepiness35 such as narcolepsy or idiopathic hypersomnia. An MSLT is an in-laboratory PSG that consists of a series of at least four daytime nap opportunities spaced every two hours to determine the average amount of time it takes until the patient falls asleep. Frequently, there is an overnight PSG prior to the MSLT to objectively determine whether a sleep disorder or inadequate sleep duration is responsible for the excessive sleepiness. The MSLT starts approximately 2 hours after the time the patient awakes in the morning and takes place in a bedroom that is quiet and dark. At the beginning of each nap opportunity the polysomnographic technologist instructs the patient to “lie quietly, close your eyes, and allow yourself to fall asleep.” Sleep is evaluated with the standard PSG recording montage used for overnight studies; the study is usually evaluated in 30 second epochs. Each nap opportunity is terminated if the patient does not fall asleep within 20 minutes or after 3 consecutive epochs scores as “sleep.” Sleep onset is calculated for each nap as the time from “lights out” to the first epoch of sleep. Sleep-onset REM is documented, which is used as part of the determination of whether the patient has narcolepsy. A mean MSLT score of 10 to 20 minutes is usually considered normal, and a mean MSLT of < 5 minutes is excessively sleepy35.
Discussion
Sleep is an essential requisite for healthy aging; unfortunately nurse clinicians and nurse researchers too frequently fail to evaluate sleep in older adults. Misinformation that poor sleep and excessive daytime sleepiness are an integral part of the aging process act as a barrier to the provision of optimal care. Nurses are in a pivotal position to identify patients with sleep disorders, provide an environment that is conducive to sleep, and investigate interventions to help improve sleep in older adults. Nurse researchers need to include an assessment of sleep in studies in older adults that focus on health promotion, disease prevention, caregiving, symptom management, self-management of chronic illness, and palliative/ end-of-life care.
Choosing the correct instrument is a critical component in the assessment of sleep disturbances in older adults for researchers and clinicians. While the use of a self-report measure such as the ESS may be the most appropriate instrument to measure this patient symptom, determination of the risk for a potential mechanism for the excessive sleepiness, such as OSA, is also important. Furthermore, while risk of OSA can be evaluated with a Berlin or OSA50 questionnaire, the diagnosis and treatment of OSA requires use of objective tests such as PSG. Likewise, insomnia symptoms and evaluation of response to an intervention such as cognitive behavioral therapy may be evaluated with the ISI or the PSQI; however, the addition of objective measures such as actigraphy can also be beneficial. In conclusion, there are reliable and valid instruments that are available for the evaluation of sleep. Use of these instruments, as appropriate, can improve the assessment of older adults.
Acknowledgments
Support for the first author (FS L) was provided by the National Heart Lung Blood Institute (NHLBI) K23HL105887. CCI was supported by the National Institutes of Nursing Research T32NR009759. The funding sources were not involved in the writing of this report.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Crowley K. Sleep and sleep disorders in older adults. Neuropsychology review. 2011;21(1):41–53. doi: 10.1007/s11065-010-9154-6. [DOI] [PubMed] [Google Scholar]
- 2.Foley D, Ancoli-Israel S, Britz P, Walsh J. Sleep disturbances and chronic disease in older adults: results of the 2003 National Sleep Foundation Sleep in America Survey. Journal of psychosomatic research. 2004;56(5):497–502. doi: 10.1016/j.jpsychores.2004.02.010. [DOI] [PubMed] [Google Scholar]
- 3.Ancoli-Israel S, Kripke DF, Klauber MR, Mason WJ, Fell R, Kaplan O. Sleep-disordered breathing in community-dwelling elderly. Sleep. 1991;14(6):486–495. doi: 10.1093/sleep/14.6.486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hornyak M, Trenkwalder C. Restless legs syndrome and periodic limb movement disorder in the elderly. Journal of psychosomatic research. 2004;56(5):543–548. doi: 10.1016/S0022-3999(04)00020-0. [DOI] [PubMed] [Google Scholar]
- 5.Gooneratne NS, Richards KC, Joffe M, et al. Sleep disordered breathing with excessive daytime sleepiness is a risk factor for mortality in older adults. Sleep. 2011;34(4):435–442. doi: 10.1093/sleep/34.4.435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Gooneratne NS, Weaver TE, Cater JR, et al. Functional outcomes of excessive daytime sleepiness in older adults. Journal of the American Geriatrics Society. 2003;51(5):642–649. doi: 10.1034/j.1600-0579.2003.00208.x. [DOI] [PubMed] [Google Scholar]
- 7.Ellen R, Marshall SC, Palayew M, Molnar FJ, Wilson KG, Man-Son-Hing M. Systematic review of motor vehicle crash risk in persons with sleep apnea. J Clin Sleep Med. 2006;2(2):193–200. [PubMed] [Google Scholar]
- 8.Buysse DJ, Reynolds CF, III, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry research. 1989;28(2):193–213. doi: 10.1016/0165-1781(89)90047-4. [DOI] [PubMed] [Google Scholar]
- 9.Buysse DJ, Reynolds CF, Monk TH, Hoch CC. Quantification of subjective sleep quality in healthy elderly men and women using the Pittsburgh Sleep Quality Index (PSQI) Sleep. 1991;14(4):331–338. [PubMed] [Google Scholar]
- 10.Beaudreau SA, Spira AP, Stewart A, et al. Validation of the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale in older black and white women. Sleep medicine. 2012;13(1):36–42. doi: 10.1016/j.sleep.2011.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Buysse DJ, Yu L, Moul DE, et al. Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments. Sleep. 2010;33(6):781. doi: 10.1093/sleep/33.6.781. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14(6):540–545. doi: 10.1093/sleep/14.6.540. [DOI] [PubMed] [Google Scholar]
- 13.Onen F, Moreau T, Gooneratne NS, Petit C, Falissard B, Onen SH. Limits of the Epworth Sleepiness Scale in older adults. Sleep and Breathing. 2013;17(1):343–350. doi: 10.1007/s11325-012-0700-8. [DOI] [PubMed] [Google Scholar]
- 14.Weaver TE, Laizner AM, Evans LK, et al. An instrument to measure functional status outcomes for disorders of excessive sleepiness. Sleep. 1997;20(10):835–843. [PubMed] [Google Scholar]
- 15.Chasens ER, Ratcliffe SJ, Weaver TE. Development of the FOSQ-10: a short version of the Functional Outcomes of Sleep Questionnaire. Sleep. 2009;32(7):915–919. doi: 10.1093/sleep/32.7.915. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ohayon MM. Epidemiology of insomnia: what we know and what we still need to learn. Sleep medicine reviews. 2002;6(2):97–111. doi: 10.1053/smrv.2002.0186. [DOI] [PubMed] [Google Scholar]
- 17.Foley DJ, Monjan AA, Brown SL, Simonsick EM. Sleep complaints among elderly persons: an epidemiologic study of three communities. Sleep: Journal of Sleep Research & Sleep Medicine. 1995 doi: 10.1093/sleep/18.6.425. [DOI] [PubMed] [Google Scholar]
- 18.Drake CL, Roehrs T, Roth T. Insomnia causes, consequences, and therapeutics: an overview. Depression and anxiety. 2003;18(4):163–176. doi: 10.1002/da.10151. [DOI] [PubMed] [Google Scholar]
- 19.Carney CE, Buysse DJ, Ancoli-Israel S, et al. The consensus sleep diary: standardizing prospective sleep self-monitoring. Sleep. 2012;35(2):287–302. doi: 10.5665/sleep.1642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Levenson JC, Troxel WM, Begley A, et al. A quantitative approach to distinguishing older adults with insomnia from good sleeper controls. Journal of Clinical Sleep Medicine. 2013;9(2):125–131. doi: 10.5664/jcsm.2404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Bastien CH, Vallières A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Medicine. 2001;2(4):297–307. doi: 10.1016/s1389-9457(00)00065-4. [DOI] [PubMed] [Google Scholar]
- 22.Punjabi NM. The epidemiology of adult obstructive sleep apnea. Proceedings of the American Thoracic Society. 2008;5(2):136–143. doi: 10.1513/pats.200709-155MG. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Young T, Skatrud J, Peppard PE. Risk factors for obstructive sleep apnea in adults. Jama. 2004;291(16):2013–2016. doi: 10.1001/jama.291.16.2013. [DOI] [PubMed] [Google Scholar]
- 24.Bradley TD, Floras JS. Obstructive sleep apnoea and its cardiovascular consequences. The Lancet. 2009;373(9657):82–93. doi: 10.1016/S0140-6736(08)61622-0. [DOI] [PubMed] [Google Scholar]
- 25.Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Annals of internal medicine. 1999;131(7):485–491. doi: 10.7326/0003-4819-131-7-199910050-00002. [DOI] [PubMed] [Google Scholar]
- 26.Sforza E, Chouchou F, Pichot V, Herrmann F, Barthélémy JC, Roche F. Is the Berlin questionnaire a useful tool to diagnose obstructive sleep apnea in the elderly? Sleep medicine. 2011;12(2):142–146. doi: 10.1016/j.sleep.2010.09.004. [DOI] [PubMed] [Google Scholar]
- 27.Chai-Coetzer CL, Antic NA, Rowland LS, et al. A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care. Thorax. 2011;66(3):213–219. doi: 10.1136/thx.2010.152801. [DOI] [PubMed] [Google Scholar]
- 28.Yeh P, Walters AS, Tsuang JW. Restless legs syndrome: a comprehensive overview on its epidemiology, risk factors, and treatment. Sleep and Breathing. 2012;16(4):987–1007. doi: 10.1007/s11325-011-0606-x. [DOI] [PubMed] [Google Scholar]
- 29.Walters AS, LeBrocq C, Dhar A, et al. Validation of the International Restless Legs Syndrome Study Group rating scale for restless legs syndrome. Sleep medicine. 2003;4(2):121–132. doi: 10.1016/s1389-9457(02)00258-7. [DOI] [PubMed] [Google Scholar]
- 30.Ancoli-Israel S, Cole R, Alessi C, Chambers M, Moorcroft W, Pollak C. The role of actigraphy in the study of sleep and circadian rhythms. American Academy of Sleep Medicine Review Paper. Sleep. 2003;26(3):342–392. doi: 10.1093/sleep/26.3.342. [DOI] [PubMed] [Google Scholar]
- 31.Rowe M, McCrae C, Campbell J, et al. Actigraphy in older adults: comparison of means and variability of three different aggregates of measurement. Behavioral sleep medicine. 2008;6(2):127–145. doi: 10.1080/15402000801952872. [DOI] [PubMed] [Google Scholar]
- 32.Kushida CA, Littner MR, Morgenthaler T, et al. Practice parameters for the indications for polysomnography and related procedures: an update for 2005. Sleep. 2005;28(4):499–521. doi: 10.1093/sleep/28.4.499. [DOI] [PubMed] [Google Scholar]
- 33.Rechtschaffen A, Kales A, editors. A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects. Los Angeles: Brain Information Service/Brain Research Institute, University of California; 1968. [Google Scholar]
- 34.Collop NA, Anderson WM, Boehlecke B, et al. Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable Monitoring Task Force of the American Academy of Sleep Medicine. J Clin Sleep Med. 2007 Dec 15;3(7):737–747. [PMC free article] [PubMed] [Google Scholar]
- 35.Littner MR, Kushida CA, Davila DG, et al. Practice parameters for clinical use of the multiple sleep latency test and the maintenance of wakefulness test. Sleep. 2005;28(1):113–121. doi: 10.1093/sleep/28.1.113. [DOI] [PubMed] [Google Scholar]