Risk factors for excessive sleepiness in older adults

Prevalence, dimensions, and correlates of excessive daytime sleepiness in community-dwelling older adults: the Yilan study, Taiwan

BACKGROUND

Daytime sleepiness is an important health problem. However, the dimensionality of the Epworth Sleepiness Scale (ESS) in older adults remains unclear. This study aimed to determine the prevalence of ESS-defined excessive daytime sleepiness in older adults. Furthermore, the dimensionality of ESS and its respective correlates were also compared.

MATERIALS AND METHODS

This is a community-based survey in which community-dwelling older adults aged ≥ 65 years participated. Excessive daytime sleepiness was assessed using the ESS and was defined as an ESS score of > 10. Exploratory factor analysis was performed to identify the ESS factors. Multiple logistic regression analysis was used to examine the independent correlates of the ESS-defined and factor-specific correlates of excessive daytime sleepiness.

RESULTS

In total, 3978 older adults participated in this study. The mean age was 76.6 ± 6.7 years, with 53.8% ≥ 75 years, and 57.1% were female. The prevalence of ESS-defined excessive daytime sleepiness was 16.0%. An exploratory factor analysis revealed two factors in the ESS, which were designated as 'passive' and 'active' according to the soporific levels of ESS items loaded in each factor. Multiple logistic regression showed that male, illiteracy, depression, disability, short sleep duration and no exposure to hypnotics were risk indicators for ESS-defined excessive daytime sleepiness. However, the correlates for passive and active factor-defined excessive daytime sleepiness differ in pattern, especially in variables related to education, exercise, mental health, and sleep.

CONCLUSIONS

The prevalence of ESS-defined excessive daytime sleepiness is high, and its correlates vary among older adults. This study also suggests a dual ESS structure in community-dwelling older adults.

To sleep or not to sleep - Effects on memory in normal aging and disease

Sleep behavior undergoes significant changes across the lifespan, and aging is associated with marked alterations in sleep amounts and quality. The primary sleep changes in healthy older adults include a shift in sleep timing, reduced slow-wave sleep, and impaired sleep maintenance. However, neurodegenerative and psychiatric disorders are more common among the elderly, which further worsen their sleep health. Irrespective of the cause, insufficient sleep adversely affects various bodily functions including energy metabolism, mood, and cognition. In this review, we will focus on the cognitive changes associated with inadequate sleep during normal aging and the underlying neural mechanisms.

Patterns of sleep disturbances across stages of cognitive decline

OBJECTIVES

The purpose of this study was to investigate insomnia symptoms and excessive sleep/sluggishness across stages of cognitive decline (cognitively normal [CN], Cognitively Impairment, Not Demented [CIND], dementia) in a large, racially/ethnically diverse sample of older adults (70+) in the US. We also examined whether sleep disturbances at baseline predicted conversion to CIND or dementia at follow-up.

METHODS

In this secondary analysis of the Aging, Demographics, and Memory Study (ADAMS) supplement of the Health Retirement Study, we analyzed patterns of informant-reported insomnia and excessive sleep symptoms among three groups of older adults (n = 846): CN, CIND, and dementia.

RESULTS

CIND adults were significantly more likely to have informant-reported insomnia symptoms than those in the CN group (p = 0.013). This was driven by a significant race/ethnicity-by-insomnia interaction with diagnostic status (p = 0.029), such that CIND Black and Hispanic older adults had increased insomnia symptom rates compared to CN, whereas White adults had similar insomnia symptoms across diagnostic status. Across all racial/ethnic groups, the prevalence of excessive sleep symptoms increased stepwise from CN to CIND to dementia (p < 0.001). Overall, insomnia symptoms at baseline predicted conversion from CN to CIND (p < 0.001, OR = 0.288; 95% CI: 0.143-0.580) at 4-year (approximate) follow-up; there was no relationship between baseline insomnia or excessive sleep/sluggishness symptoms and conversion from CIND to dementia.

DISCUSSION/CONCLUSION

This study provides evidence for the increased risk of insomnia symptoms among Hispanic and Black older adults with CIND, and indicates that insomnia symptoms may be associated with increased risk for development of cognitive impairment.

Louis EK, Przybelski SA, Morgenthaler TI, Machulda MM, Boeve BF, Petersen RC, Jack CR, Graff-Radford J, Vemuri P, Mielke MM. Sleepiness in Cognitively Unimpaired Older Adults Is Associated With CSF Biomarkers of Inflammation and Axonal Integrity

Introduction

Sleepiness has been associated with cognitive decline and dementia in the elderly. Older adults with excessive daytime sleepiness appear to be more vulnerable to longitudinal amyloid PET accumulation before the onset of the dementia. However, it remains unclear whether sleepiness is similarly associated with other biomarkers of Alzheimer's disease (AD), axonal integrity, and inflammation, which may also contribute to neurodegeneration and cognitive decline.

Methods

In this cross-sectional analysis, we identified 260 cognitively unimpaired adults (>60 years) from the Mayo Clinic Study of Aging, a population-based cohort from Olmsted County (MN), who underwent CSF quantification of AD biomarkers (Aβ42, p-tau, p-tau/Aβ42) in addition to at least one of the following biomarkers [neurofilament light chain (NfL) interleukin-6 (IL-6), IL-10, and tumor necrosis factor-α (TNF-α)]. We fit linear regression models to assess associations between sleepiness, as measured by the Epworth Sleepiness Scale (ESS), and CSF biomarkers, controlling for age, sex, APOε4 status, body mass index, hypertension, dyslipidemia, and prior diagnosis of obstructive sleep apnea.

Results

Higher ESS scores were associated with higher CSF IL-6 and NfL, but not with the other CSF biomarkers. For every ESS score point increase, there was a 0.009 ([95% CI 0.001-0.016], p = 0.033) increase in the log of IL-6 and 0.01 ([95% CI 0.002-0.018], p = 0.016) increase in the log of NfL. A sensitivity analysis showed an association between ESS scores and log of p-tau/Aβ42 only in participants with an abnormal ratio (>0.023), highly predictive of amyloid positivity. For every ESS score point increase, there was a 0.006 ([95% CI 0.001-0.012], p = 0.021) increase in the log of CSF p-tau/Aβ42.

Conclusion

Sleepiness was associated with greater CSF IL-6 and NfL levels, which could contribute to neurodegeneration or alternatively cause sleepiness. Higher NfL levels may result from sleep disruption and/or contribute to sleepiness via disturbed connectivity or damage to wake-promoting centers. Associations between sleepiness and p-tau/Aβ42 in participants with abnormal ratio suggest that amyloid positivity contributes to vulnerability to sleep disturbance, which may further amyloid accumulation in a feed-forward loop process. Prospective studies of these markers are needed to determine cause-effect relationships between these associations.

Sleep-disordered breathing and the risk of Alzheimer's disease

Sleep-disordered breathing is highly prevalent in the elderly population. Obstructive sleep apnea (OSA) represents the most common sleep disorder among the adult and elderly population. Recently, OSA diagnosis has been associated with an increased risk of developing cognitive decline and dementia, including vascular dementia and Alzheimer's disease (AD). Subsequently, there have been studies on AD biomarkers investigating cerebrospinal fluid, blood, neuroimaging, and nuclear medicine biomarkers in patients with OSA. Furthermore, studies have attempted to assess the possible effects of continuous positive airway pressure (CPAP) treatment on the cognitive trajectory and AD biomarkers in patients with OSA. This review summarizes the findings of studies on each AD biomarker (cognitive, biofluid, neuroimaging, and nuclear medicine imaging) in patients with OSA, also accounting for the related effects of CPAP treatment. In addition, the hypothetical model connecting OSA to AD in a bi-directional interplay is analyzed. Finally, the sex-based differences in prevalence and clinical symptoms of OSA between men and women have been investigated in relation to AD risk. Further studies investigating AD biomarkers changes in patients with OSA and the effect of CPAP treatment should be auspicated in future for identifying strategies to prevent the development of AD.

It's complicated: The relationship between sleep and Alzheimer's disease in humans

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by an asymptomatic period of amyloid-β (Aβ) deposition as insoluble extracellular plaque, intracellular tau aggregation, neuronal and synaptic loss, and subsequent cognitive dysfunction and dementia. A growing public health crisis, the worldwide prevalence of AD is expected to rise from 46.8 million individuals affected in 2015 to 131.5 million in 2050. Sleep disturbances have been associated with increased future risk of AD. A bi-directional relationship is hypothesized between sleep and AD with sleep disturbances as either markers for AD pathology and/or a mechanism mediating increased risk of AD. In this review, the evidence in humans supporting this complex relationship between sleep and AD will be discussed as well as the therapeutic potential and challenges of treating sleep disturbances to prevent or delay the onset of AD.

US Trends in Prevalence of Sleep Problems and Associations with Chronic Kidney Disease and Mortality

BACKGROUND

To better understand the relation between sleep problems and CKD, we examined temporal trends in the prevalence of self-reported sleep problems in adults in the United States and their associations with CKD and all-cause mortality.

METHODS

Using data from 27,365 adult participants in five biannual National Health and Examination Surveys (2005-2006 through 2013-2014), we studied five self-reported sleep problems-trouble sleeping, sleep disorder, nocturia (urinating ≥2 times/night), inadequate sleep (<7 hours/night), and excessive sleep (>9 hours/night)-plus a composite index. We conducted three types of analysis: temporal trends in the prevalence of each sleep measure by CKD status, using model-based standardization; cross-sectional analysis of associations between four CKD measures and each sleep measure, using logistic regression; and survival analysis of the association between each sleep measure and mortality, using Cox regression.

RESULTS

The prevalence of trouble sleeping and sleep disorder increased over the five surveys by 4% and 3%, respectively, whereas the other sleep problems remained relatively stable. All sleep problems, except inadequate sleep, were more common during the study period among adults with CKD than without CKD (40% versus 21% for nocturia; 5% versus 2% for excessive sleep; 30% versus 25% for trouble sleeping; 12% versus 8% for sleep disorder). Both eGFR <30 ml/min per 1.73 m² and albuminuria were positively associated with nocturia and excessive sleep. Excessive sleep and nocturia were also associated with higher mortality (adjusted hazard ratio for >9 versus 7-9 hours/night=1.7; 95% CI, 1.3 to 2.1; and for nocturia=1.2; 95% CI, 1.1 to 1.4).

CONCLUSIONS

The high prevalence of sleep problems among persons with CKD and their associations with mortality suggest their potential importance to clinical practice. Future work could examine the health effects of identifying and treating sleep problems in patients with CKD.

Quantifying impact of real-world barriers to sleep: The Brief Index of Sleep Control (BRISC)

OBJECTIVE

Lack of control over sleep may contribute to population-level sleep disturbances, yet relatively little work has explored the degree to which an individual's sense of control over their sleep may represent an important factor.

METHODS

Data from the Sleep and Healthy Activity Diet Environment and Socialization (SHADES) study, conducted in the Philadelphia area on a population comprising 1,007 individuals aged 22-60 years, was used. The BRief Index of Sleep Control (BRISC) was developed to quantify the degree to which an individual has control over their sleep. Reliability of the BRISC was assessed using Cronbach's alpha. Convergent validity was assessed by examining age-adjusted items and total score relationships to insomnia (ISI), sleepiness (ESS), sleep quality (PSQI), and total sleep time (NHANES).

RESULTS

After adjustment for covariates, greater control over sleep was associated with a lower PSQI score (B = -2.2, 95% CI [-2.4,-2.0], P < .0001), lower ISI score (B = -3.1, 95% CI [-3.5,-2.7], P < .0001), lower ESS score (B=-1.4, 95% CI [-1.7,-1.1], P < .0001), and more hours of sleep duration (B = 0.5, 95% CI [0.4,0.6], P < .0001). Each BRISC item was separately associated with each sleep outcome (P < .0001), although the items were not collinear with each other (all R<0.7). Thus, the BRISC instrument demonstrated high reliability and good validity.

CONCLUSIONS

Control over sleep may represent an important factor in sleep health. Control over time to bed, time awake, sleep duration, and sleep quality are all related to sleep outcomes and assessment of these constructs may be useful for future sleep interventions.

Excessive daytime sleepiness and napping in cognitively normal adults: associations with subsequent amyloid deposition measured by PiB PET

Study Objectives

To determine the association of excessive daytime sleepiness (EDS) and napping with subsequent brain β-amyloid (Aβ) deposition in cognitively normal persons.

Methods

We studied 124 community-dwelling participants in the Baltimore Longitudinal Study of Aging Neuroimaging Substudy who completed self-report measures of EDS and napping at our study baseline and underwent [11C] Pittsburgh compound B positron emission tomography (PiB PET) scans of the brain, an average ±standard deviation of 15.7 ± 3.4 years later (range 6.9 to 24.6). Scans with a cortical distribution volume ratio of >1.06 were considered Aβ-positive.

Results

Participants were aged 60.1 ± 9.8 years (range 36.2 to 82.7) at study baseline; 24.4% had EDS and 28.5% napped. In unadjusted analyses, compared with participants without EDS, those with EDS had more than 3 times the odds of being Aβ+ at follow-up (odds ratio [OR] = 3.37, 95% confidence interval [CI]: 1.44, 7.90, p = 0.005), and 2.75 times the odds after adjustment for age, age2, sex, education, and body mass index (OR = 2.75, 95% CI: 1.09, 6.95, p = 0.033). There was a trend-level unadjusted association between napping and Aβ status (OR = 2.01, 95% CI: 0.90, 4.50, p = 0.091) that became nonsignificant after adjustment (OR = 1.86, 95% CI: 0.73, 4.75, p = 0.194).

Conclusions

EDS is associated with more than 2.5 times the odds of Aβ deposition an average of 15.7 years later. If common EDS causes (e.g., sleep-disordered breathing, insufficient sleep) are associated with temporally distal AD biomarkers, this could have important implications for AD prevention.

Association of Excessive Daytime Sleepiness With Longitudinal β-Amyloid Accumulation in Elderly Persons Without Dementia

Importance

Aging is associated with excessive daytime sleepiness (EDS), which has been linked to cognitive decline in the elderly. However, whether EDS is associated with the pathologic processes of Alzheimer disease remains unclear.

Objective

To investigate whether EDS at baseline is associated with a longitudinal increase in regional β-amyloid (Aβ) accumulation in a cohort of elderly individuals without dementia.

Design, Setting, and Participants

This prospective analysis included participants enrolled in the Mayo Clinic Study of Aging, a longitudinal population-based study in Olmsted County, Minnesota. Of 2900 participants, 2172 (74.9%) agreed to undergo carbon 11-labeled Pittsburgh compound B positron emission tomography (PiB-PET). We included 283 participants 70 years or older without dementia who completed surveys assessing sleepiness at baseline and had at least 2 consecutive PiB-PET scans from January 1, 2009, through July 31, 2016, after excluding 45 (13.7%) who had a comorbid neurologic disorder.

Main Outcomes and Measures

Excessive daytime sleepiness was defined as an Epworth Sleepiness Scale score of at least 10. The difference in Aβ levels between the 2 consecutive scans (ΔPiB) in Aβ-susceptible regions (prefrontal, anterior cingulate, posterior cingulate-precuneus, and parietal) was determined. Multiple linear regression models were fit to explore associations between baseline EDS and ΔPiB while adjusting for baseline age, sex, presence of the apolipoprotein E ε4 allele, educational level, baseline PiB uptake, global PiB positivity (standardized uptake value ratio ≥1.4), physical activity, cardiovascular comorbidities (obesity, hypertension, hyperlipidemia, and diabetes), reduced sleep duration, respiratory symptoms during sleep, depression, and interval between scans.

Results

Of the initial 283 participants, mean (SD) age was 77.1 (4.8) years; 204 (72.1%) were men and 79 (27.9%) were women. Sixty-three participants (22.3%) had EDS. Baseline EDS was significantly associated with increased regional Aβ accumulation in the anterior cingulate (B coefficient = 0.031; 95% CI, 0.001-0.061; P = .04), posterior cingulate-precuneus (B coefficient = 0.038; 95% CI, 0.006-0.069; P = .02), and parietal (B coefficient = 0.033; 95% CI, 0.001-0.065; P = .04) regions. Association of EDS with longitudinal Aβ accumulation was stronger in participants with baseline global PiB positivity in the anterior cingulate (B coefficient = 0.065; 95% CI, 0.010-0.118; P = .02) and cingulate-precuneus (B coefficient = 0.068; 95% CI, 0.009-0.126; P = .02) regions.

Conclusions and Relevance

Baseline EDS was associated with increased longitudinal Aβ accumulation in elderly persons without dementia, suggesting that those with EDS may be more vulnerable to pathologic changes associated with Alzheimer disease. Further work is needed to elucidate whether EDS is a clinical marker of greater sleep instability, synaptic or network overload, or neurodegeneration of wakefulness-promoting centers. Early identification of patients with EDS and treatment of underlying sleep disorders could reduce Aβ accumulation in this vulnerable group.

The estimation of excessive daytime sleepiness in post-stroke patients - a polysomnographic study

Excessive daytime sleepiness (EDS) has been reported in stroke patients. EDS in acute stroke was studied repeatedly, but there is a modest amount of data in post-stroke patients. The aim of this study was to assess the frequency of EDS and characterize sleep architecture in patients >3 months after stroke and identify factors which may affect EDS. 66 patients were enrolled, of which 33 had experienced stroke. All underwent a standardized overnight, diagnostic single night polysomnography, including electrocephalogram (EEG) leads, electrooculograms (EOG), chin electromyogram (EMG), and electrocardiogram (ECG). Epworth Sleepiness Scale (ESS) was used to measure subjects' level of daytime sleepiness. We observed similar total ESS score, total sleep time (TST), sleep efficiency, as well as respiratory disturbance index /apnea-hypopnea index (RDI/AHI), oxygen desaturation index (ODI) and mean heart rate in both groups. We observed positive linear correlation between EDS and mean heart rate in the stroke group (r = 0.46, p < 0.05) as well as between EDS and REM duration (r = 0.23, p < 0.05). In the non-stroke group EDS didn't correlate with the heart rate or with the REM duration. In the non-stroke group EDS correlated positively with RDI/AHI and ODI index (r = 0.46; p = <0.05 r = 0.41, p < 0.05 and maximal desaturation (r = 0.55, p < 0.05), this correlation was not observed in post-stroke group. In the both groups we observed negative linear correlation between BMI and saturation (stroke group - mean as well as minimal saturation (r = -0.458, p < 0.05; r = -0.578, p < 0.05), non stroke group - minimal but not mean saturation rate (r = -0.544, p < 0.05). We also noticed in both groups positive correlation between BMI and both AHI and ODI index (stroke group respectively: r = 0.430, p < 0.05; r = 0.451, p < 0.05; non-stroke group - BMI and ODI: r = 0.405, p < 0.05). The positive BMI correlation with RDI/AHI was not significant in the non-stroke group. We noticed that BMI correlates with non-REM sleep N1 (r = 0.760, p < 0.05) in post-stroke group, while it correlates negatively with REM sleep (r = -0.709, p < 0.05). There was no such correlation in the non-stroke group. In summary, in stroke patients subjective daytime sleepiness is associated with heart rate, but not with the severity of OSA. Thus ESS (Epworth Scale Score) may be not as useful as a marker of obstructive sleep apnea (OSA) presence or severity in post stroke patient as in the general population.

Association of health related quality of life domains with daytime sleepiness among elderly recipients of long-term services and supports

Excessive daytime sleepiness (EDS) is prevalent in older adults; however, data are lacking that examine EDS across living environments. The aims of this secondary data analysis were to identify the prevalence and predictors of EDS among older adults receiving long-term services and supports (LTSS) in assisted living communities (ALCs), nursing homes (NHs), and the community. Participants (n = 470) completed multiple measures including daytime sleepiness. Logistic regression modeling was used to identify EDS predictors. Participants were primarily female and white with a mean age of 81 ± 9 years. The overall prevalence of EDS was 19.4%; the prevalence differed across living environment. Older adults in ALCs and NHs had higher odds of EDS than those living in the community. Also, depressive symptoms and number of bothersome symptoms predicted EDS. Upon admission for LTSS, evaluating older adults, especially those in ALCs and NHs, for depression and bothersome symptoms may reveal modifiable factors of EDS.

Prevalence and risk factors of excessive daytime sleepiness in major depression: A study with 703 individuals referred for polysomnography

BACKGROUND

To date, few studies have investigated the prevalence and risk factors of excessive daytime sleepiness (EDS) in major depression. Thus, the aim of the present study was to examine the prevalence and risk factors of EDS in a large sample of individuals with major depression.

METHODS

Data from 703 individuals with major depression were retrospectively collected from the sleep laboratory research database of Erasme Hospital for analysis. A score of > 10 on the Epworth Sleepiness Scale was used as the cut-off for EDS. Logistic regression analyses were conducted to examine the clinical and demographic risk factors of EDS in major depression.

RESULTS

The prevalence of EDS in our sample was 50.8%. Multivariate logistic regression analysis revealed that the following were significant risk factors of EDS in major depression: non-use of short to intermediate half-life benzodiazepine receptor agonists, BMI ≥ 25 kg/m², age < 60 years, C-reactive protein > 7 mg/L, Beck Depression Inventory score ≥ 16, atypical depression, apnea-hypopnea index ≥ 15/h, and use of selective serotonin reuptake inhibitors or serotonin-norepinephrine reuptake inhibitors.

LIMITATIONS

To evaluate EDS, we used the Epworth Sleepiness Scale, which only allows for a subjective measure of daytime sleepiness.

CONCLUSION

EDS is a common symptom in individuals with major depression. In this subpopulation, interventions are possible for most risk factors of EDS, which justifies improved management of this symptom to avoid its negative consequences.

Sleep physiology and disorders in aging and dementia

Sleep problems occur commonly in normal and pathologic aging. Older adults typically have more difficulty falling asleep and remaining asleep, report more daytime napping, and have an increased prevalence of primary sleep disorders such as insomnia, parasomnias, sleep apnea, and sleep-related movement disorders. Medical and psychiatric disorders as well as medications used to treat them also contribute to sleep disturbances in aging. Patients with mild cognitive impairment and dementia have more severe sleep problems, and disturbed sleep and sleep disorders contribute to earlier onset and more rapid progression of neurodegenerative disorders. Approaches to diagnosing and treating sleep disorders in the elderly are discussed.

Adult attention deficit hyperactivity disorder symptoms and passive leadership: The mediating role of daytime sleepiness

Passive leadership is attracting empirical interest with the detrimental effects of this type of leadership on a broad array of individual and organizational outcomes becoming apparent. However, just why leaders would engage in this type of nonleadership has received less research attention. We investigate whether and how leaders' attention deficit hyperactivity disorder (ADHD) is associated with passive leadership. Using a framework specifying how the physiology of sleepiness impacts the workplace, we hypothesize that leaders' ADHD is associated with passive leadership indirectly through daytime sleepiness. After controlling for leaders' age, gender, and preclinical symptoms of depression and anxiety, standard ordinary least squares regression procedures were implemented through Hayes' PROCESS models. Multisource data from 98 leader-follower groups (M number of followers per leader = 4.38, SD = 1.78) showed that the effects of leaders' ADHD symptoms on passive leadership were mediated by daytime sleepiness. Conceptual, methodological, and practical implications are discussed.

Multimodal brain imaging investigation of self-reported sleep quality and daytime sleepiness in older adults with heart failure

PURPOSE OF THE STUDY

Individuals with heart failure (HF) have a high frequency of sleep problems. Patients with HF present with structural brain changes different from normal aging including reductions in brain volume, increases in white matter hyperintensity (WMH) and reduced cerebral blood flow. These structural changes in the brain may explain the pathophysiology of sleep and daytime problems. The objective of this study was to determine whether multimodal imaging data are related to self-reported sleep problems and daytime sleepiness in older adults with HF.

METHODS

Participants in this study underwent magnetic resonance imaging scans on the General Electric 3.0 T Discovery MR750 to acquire WMH, cerebral blood flow and brain volume. Data on 37 stable HF patients (mean age = 68; SD = 5.75) were included.

RESULTS

In this sample, WMH was associated with daytime sleepiness (p = 0.025). However, gray and white matter volume and cerebral blood flow were not associated with daytime sleepiness, sleep quality or insomnia.

CONCLUSION

Although further studies are needed to determine the relationship between WMH and sleep and daytime problems, the findings preliminarily support that increases in WMH from ischemic changes could explain increases in daytime sleepiness among people with HF.

Clinical update on central hypersomnias

The central hypersomnias encompass a range of conditions causing persisting or intermittent excessive daytime sleepiness (EDS). These conditions therefore present not infrequently in general clinical sleep practice, and remain in the differential for patients presenting with sleepiness. Our understanding of the pathophysiology, diagnosis and management of these conditions has progressed significantly over recent years, and in this article we review this group of disorders, focussing in particular on recent changes in classification and diagnosis, pathophysiological advances, and novel treatment options.

The influence of socio-economic status on the severity of obstructive sleep apnea: a cross-sectional observational study

There is limited evidence about the effect of socio-economic status (SES) on the severity of obstructive sleep apnea (OSA). We aimed to investigate this relationship in a referral population in Greece, with regards to other established risk factors. Methods: We used a retrospective cross-sectional design to assess socio-economic status based on occupational activity in a sample of 282 OSA patients diagnosed in a public hospital sleep laboratory during one-year period. Demographic, anthropometric and social characteristics, as well as the Epworth sleepiness scale (ESS) scores and apnea-hypopnea indexes (AHI) of subjects in each socio-economic class were recorded and statistically significant differences were explored in univariate and multiple regression analysis. Results: 99 (35.1%) of the subjects were categorized in the upper, 70 (24.8%) in the intermediate and 113 (40.1%) in the working class. Subjects of the intermediate class had significantly larger neck circumference than those of the upper class (p=0.022). Neither class differed significantly in terms of ESS score and intermediate class had a trend for higher AHI than upper class (p=0.075 in univariate and p=0.082 in multivariate analysis). Age (p=0.020) and occasional alcohol consumption (p=0.022) were independent negative and neck circumference (p<0.001) positive correlates of the variance in ESS score, while body mass index (p=0.004), neck circumference (p<0.001), being married (p=0.014) and current smoker (p=0.025) were independent positive correlates of the variance in AHI. Discussion: SES has a minor effect on OSA severity that is only partially accounted for by other known risk factors. Neck circumference was found to be the most useful predictor of both subjective daytime sleepiness and severity of respiratory events during sleep.

Prevalence and risk factors of excessive daytime sleepiness in insomnia sufferers: A study with 1311 individuals

BACKGROUND

Several studies have investigated the prevalence and risk factors of excessive daytime sleepiness in the general population. However, few studies have investigated these in the particular subpopulation of insomnia sufferers. Thus, the aim of this study was to examine the prevalence and risk factors of excessive daytime sleepiness in a large sample of insomnia sufferers.

METHODS

Data from 1311 insomnia sufferers with age≥18years and recruited from the research database of the sleep laboratory of the Erasme Hospital were analysed. A score>10 on the Epworth scale was used as the cut-off score for excessive daytime sleepiness. Logistic regression analyses were conducted to examine clinical and demographic risk factors of excessive daytime sleepiness in insomnia sufferers.

RESULTS

The prevalence of excessive daytime sleepiness in our sample was 45.61%. Multivariate logistic regression analysis revealed that non-use of Z-drugs, non-use of Trazodone alone or in combination, body mass index≥25 & <30kg/m², body mass index≥30kg/m², age≥18 & <40years, age≥40 & <65years, Beck depression inventory score≥5 & <16, Beck depression inventory score≥16, apnea-hypopnea index≥15/h, and use of selective serotonin reuptake inhibitors were significant risk factors of excessive daytime sleepiness in the subpopulation of insomnia sufferers.

CONCLUSION

Excessive daytime sleepiness is a common complaint for individuals with insomnia. In this subpopulation, most of the risk factors for excessive daytime sleepiness are reversible, which justifies better management of this complaint to avoid its negative consequences.

Sleepiness in the Elderly

Excessive daytime sleepiness has pathologic causes and numerous adverse consequences; therefore, it requires medical attention in older adults. Excessive sleepiness in older adults is often multifactorial and may signal an underlying sleep disorder, chronic medical condition, undiagnosed mood disorder, or side effects of medications. It is associated with increased risk for cognitive decline and dementia in the elderly. Excessive sleepiness often requires a multi-method assessment in this age group. It is pertinent to take a systematic, step-by-step treatment approach geared toward the underlying cause, and to treat sleepiness directly, when the cause cannot be eliminated to prevent adverse outcomes.

A Three-Item Instrument for Measuring Daytime Sleepiness: The Observation and Interview Based Diurnal Sleepiness Inventory (ODSI)

STUDY OBJECTIVES

We aimed to develop a new three-item assessment tool for daytime sleepiness in older adults, the Observation and interview-based Diurnal Sleepiness Inventory (ODSI) and determine its validity, internal consistency, test-retest reliability, and optimal cutoff score.

METHODS

A total of 133 elderly subjects including 73 patients with obstructive sleep apnea (OSA) (mean age, 79 y) and 60 controls (mean age, 80 y) were consecutively enrolled and answered all questionnaires. The ODSI questionnaire was validated using the Epworth Sleepiness Scale considered as a gold standard. Reliability, validity, and cut-points were tested.

RESULTS

The ODSI has acceptable validity, internal consistency, and test-retest reliability properties. The ODSI has internal consistency and a reliability coefficient (Pearson rho) of 0.70 for its three items, which suggests strong reliability. The estimated sensitivity and specificity were 0.842 with 95% confidence interval [0.624; 0.945] and 0.851 [0.761; 0.911], respectively. The consistency of summated scale scores during test and retest sessions was high (r = 0.970, 95% bootstrap confidence interval [0.898; 0.991]). Receiver operating characteristic analysis suggests that a cut-point of 6 is effective for identifying older adults with excessive levels of daytime sleepiness.

CONCLUSIONS

The ODSI is a brief, valid, easy-to-administer three-item assessment that can screen for excessive daytime sleepiness among elderly patients with OSA.

Relationship between Daytime Sleepiness and Intrinsically Photosensitive Retinal Ganglion Cells in Glaucomatous Disease

Patients with glaucoma showed to have higher daytime sleepiness measured by Epworth sleepiness scale. In addition, this symptom was associated with pupillary reflex and polysomnography parameters. These ipRGC functions might be impaired in patients with glaucoma, leading to worse quality of life.

Excessive daytime sleepiness and falls among older men and women: cross-sectional examination of a population-based sample

Background

Excessive daytime sleepiness (EDS) has been associated with an increased risk for falls among clinical samples of older adults. However, there is little detailed information among population-representative samples. The current study aimed to assess the relationship between EDS and falls among a cohort of population-based older adults.

Methods

This study assessed 367 women aged 60-93years (median 72, interquartile range 65-79) and 451 men aged 60-92years (median 73, interquartile range 66-80) who participated in the Geelong Osteoporosis Study between the years 2001 and 2008. Falls during the prior year were documented via self-report, and for men, falls risk score was obtained using an Elderly Fall Screening Test (EFST). Sleepiness was assessed using the Epworth Sleepiness Scale (ESS), and scores of ≥ 10 indicated EDS. Differences among those with and without EDS in regard to falls were tested using logistic regression models.

Results

Among women, 50 (13.6 %) individuals reported EDS. Women with EDS were more likely to report a fall, and were more likely to report the fall occurring outside. EDS was similarly associated with an increased risk of a fall following adjustment for use of a walking aid, cases of nocturia and antidepressant medication use (adjusted OR = 2.54, 95 % CI 1.24-5.21). Multivariate modelling revealed antidepressant use (current) as an effect modifier (p < .001 for the interaction term). After stratifying the data by antidepressant medication use, the association between EDS and falls was sustained following adjustment for nocturia among antidepressant non-users (adjusted OR = 2.63, 95 % CI 1.31-5.30). Among men, 72 (16.0 %) individuals reported EDS. No differences were detected for men with and without EDS in regard to reported falls, and a trend towards significance was noted between EDS and a high falls risk as assessed by the EFST (p = 0.06), however, age explained this relationship (age adjusted OR = 2.20, 95 % CI 1.03-1.10).

Conclusions

For women, EDS is independently associated with at least one fall during the previous year, and this is more likely to occur whilst located outside. Amelioration of EDS may assist in improving functional outcomes among these individuals by reducing the risk for falls.

The prevalence of and risk factors for sleep-disordered breathing in an elderly Korean population

BACKGROUND

There are just a few epidemiological studies on sleep-disordered breathing (SDB) in the elderly, and the results are inconsistent.

STUDY OBJECTIVES

We sought to investigate the prevalence of and risk factors for SDB in a representative elderly population with the use of attended nocturnal polysomnography (NPSG).

METHODS

Among 6,959 individuals aged ≥ 60 years living in Yongin City, Korea, 696 subjects were selected using random sampling. All the subjects were invited to visit a hospital for NPSG, and SDB was defined as an apnea-hypopnea index ≥ 15.

RESULTS

Of the 696 participants investigated, 348 participants completed the sleep study and clinical evaluation. SDB was observed in 127 of the 348 participants, and the prevalence of SDB was 36.5% (52.6% in males and 26.3% in females). A body mass index ≥ 25 was associated with SDB in both male and female subjects, particularly in males, whereas snoring was independently associated with SDB in female participants only. In male participants, SDB was a significant risk factor for hypertension (p = 0.025).

CONCLUSIONS

SDB was found to be common among elderly Koreans, and it was more prevalent and severe in male than in female subjects. Health consequences of SDB in the elderly need to be further explored.

Treatment for chronic heart failure in the elderly: current practice and problems

Treatment for chronic heart failure (CHF) is strongly focused on evidence-based medicine. However, large trials are often far away from the "real world" of geriatric patients and their messages are poorly transferable to the clinical management of CHF elderly patients. Precipitating factors and especially non-cardiac comorbidity may decompensate CHF in the elderly. More importantly, drugs of first choice, such as angiotensin-converting enzyme inhibitors and β-blockers, are still underused and effective drugs on diastolic dysfunction are not available. Poor adherence to therapy, especially for cognitive and depression disorders, worsens the management. Electrical therapy is indicated, but attention to the older age groups with reduced life expectancy has to be paid. Physical exercise, stem cells, gene delivery, and new devices are encouraging, but definitive results are still not available. Palliative care plays a key role to the end-stage of the disease. Follow-up of CHF elderly patient is very important but tele-medicine is the future. Finally, self-care management, caregiver training, and multidimensional team represent the critical point of the treatment for CHF elderly patients.

Daytime sleepiness: associations with alcohol use and sleep duration in americans

The aim of the current analysis was to investigate the relationship of daytime sleepiness with alcohol consumption and sleep duration using a population sample of adult Americans. Data was analyzed from adult respondents of the National Health and Nutritional Examination Survey (NHANES) 2007-2008 (N = 2919) using self-reported variables for sleepiness, sleep duration, and alcohol consumption (quantity and frequency of alcohol use). A heavy drinking episode was defined as the consumption of ≥5 standard alcoholic beverages in a day. Logistic regression models adjusted for sociodemographic variables and insomnia covariates were used to evaluate the relationship between daytime sleepiness and an interaction of alcohol consumption variables with sleep duration. The results showed that daytime sleepiness was reported by 15.07% of the subjects. In univariate analyses adjusted for covariates, an increased probability of daytime sleepiness was predicted by decreased log drinks per day [OR = 0.74 (95% CI, 0.58–0.95)], a decreased log drinking frequency [0.90 (95% CI, 0.83–0.98)], and lower sleep duration [OR = 0.75 (95% CI, 0.67–0.84)]. An interaction between decreased sleep duration and an increased log heavy drinking frequency predicted increased daytime sleepiness (P = 0.004). Thus, the effect of sleep duration should be considered when evaluating the relationship between daytime sleepiness and heavy drinking.

Snoring, daytime sleepiness, and incident cardiovascular disease in the health, aging, and body composition study

OBJECTIVES

To examine the association between snoring and incident cardiovascular disease (CVD).

DESIGN SETTINGS AND PARTICIPANTS

This is a prospective study in which community dwelling older adults were evaluated at baseline, and followed up for an average of 9.9 years.

MEASUREMENTS

Data on snoring, daytime sleepiness, as well as demographic and clinical characteristics of study participants was collected at baseline, and participants were followed up every six months for an average of 9.9 years. Based on snoring and sleepiness status, 4 groups of participants were created: (1) No Snoring, No Sleepiness; (2) No Snoring, Sleepiness; (3) Snoring, No Sleepiness; (4) Snoring, Sleepiness. Incident CVD was defined as a diagnosis of myocardial infarction, angina pectoris, or congestive heart failure that resulted in overnight hospitalization during the follow-up period. Cox proportional hazard was used to estimate the risk of incident cardiovascular disease during follow-up by baseline snoring and sleepiness status.

RESULTS

A total of 2,320 participants with a mean age of 73.6 (2.9) years at baseline were included in the analysis. Fifty-two percent were women, and 58% were white. A total of 543 participants developed CVD events during the follow-up period. Participants who reported snoring associated with daytime sleepiness had significantly increased hazard ratio for CVD events (HR = 1.46 [1.03-2.08], P = 0.035) after adjusting for demographic and clinical confounding factors.

CONCLUSION

The results suggest that self-reported snoring and daytime sleepiness status are associated with an increased risk of future cardiovascular disease among older adults.

Maintenance of Wakefulness Test scores and driving performance in sleep disorder patients and controls

OBJECTIVE

Sleepiness at the wheel is a risk factor for traffic accidents. Past studies have demonstrated the validity of the Maintenance of Wakefulness Test (MWT) scores as a predictor of driving impairment in untreated patients with obstructive sleep apnea syndrome (OSAS), but there is limited information on the validity of the maintenance of wakefulness test by MWT in predicting driving impairment in patients with hypersomnias of central origin (narcolepsy or idiopathic hypersomnia). The aim of this study was to compare the MWT scores with driving performance in sleep disorder patients and controls.

METHODS

19 patients suffering from hypersomnias of central origin (9 narcoleptics and 10 idiopathic hypersomnia), 17 OSAS patients and 14 healthy controls performed a MWT (4×40-minute trials) and a 40-minute driving session on a real car driving simulator. Participants were divided into 4 groups defined by their MWT sleep latency scores. The groups were pathological (sleep latency 0-19 min), intermediate (20-33 min), alert (34-40 min) and control (>34 min). The main driving performance outcome was the number of inappropriate line crossings (ILCs) during the 40 minute drive test.

RESULTS

Patients with pathological MWT sleep latency scores (0-19 min) displayed statistically significantly more ILC than patients from the intermediate, alert and control groups (F (3, 46)=7.47, p<0.001).

INTERPRETATION

Pathological sleep latencies on the MWT predicted driving impairment in patients suffering from hypersomnias of central origin as well as in OSAS patients. MWT is an objective measure of daytime sleepiness that appears to be useful in estimating the driving performance in sleepy patients.

Insomnia, daytime sleepiness and cardio-cerebrovascular diseases in the elderly: a 6-year prospective study

OBJECTIVE

To examine 1) the associations between history of cardio-cerebrovascular diseases (CVD) and insomnia complaints and excessive daytime sleepiness (EDS), and 2) the relationships between sleep complaints and future CVD in persons over 65.

METHODS

CVD was assessed at baseline and during two, four, and six-year follow-up in 5494 non-demented subjects. Self-reported insomnia complaints (poor sleep quality, difficulty in initiating sleep, difficulty in maintening sleep, and early morning awakening), EDS and sleep medication use were evaluated at baseline. Logistic regression models and Cox proportional hazard models, with delayed entry and age of participants as the time scale, were adjusted for socio-demographic, lifestyle and clinical variables.

RESULTS

At baseline, 748 participants had a past-history of CVD. A past-history of CVD was associated with EDS (OR = 1.28 95%CI = [1.05-1.57]) and the number of insomnia complaints (OR = 1.26 95%CI = [1.03-1.55] for 1-2 insomnia complaints; OR = 1.32 95%CI = [1.03-1.71] for ≥3 complaints). In longitudinal analyses, neither the four components of insomnia nor the number of insomnia complaints were significantly associated with first or recurrent CVD events (n = 391 events). EDS was independently associated with future CVD events even after adjusting for prescribed sleep medication and past-history of CVD (HR = 1.35 95%CI = [1.06-1.71]).

CONCLUSION

Our results suggest that the relationships between sleep complaints and CVD could be complex. Insomnia complaints are more likely a consequence of CVD, whereas EDS appears to be a determinant of CVD independently of past-history of CVD. EDS screening may thus constitute a means of detecting persons at high risk of CVD.

Modifiable factors associated with sleep dysfunction in adults with heart failure

BACKGROUND

Sleep dysfunction contributes to poor quality of life in adults with heart failure (HF). The purpose of this study was to identify factors associated with sleep dysfunction that may be modifiable.

METHODS

Data were collected from 266 subjects enrolled from three sites in the U.S. Sleep dysfunction was measured over the past month with the Pittsburgh sleep quality index, using a score > 10 to indicate sleep dysfunction. Potentially modifiable clinical, behavioral, and psychological factors thought to be associated with sleep dysfunction were analyzed with hierarchical logistic regression analysis.

RESULTS

When covariates of age, gender, race, data collection site, and New York Heart Association (NYHA) functional class were entered on the first step, only NYHA was a significant correlate of sleep dysfunction. When the clinical, behavioral, and psychological factors were entered, correlates of sleep dysfunction were the number of drugs known to cause daytime somnolence (OR = 2.08), depression (OR = 1.83), worse overall perceived health (OR = 1.64), and better sleep hygiene (OR = 1.40). Although most (54%) subjects had sleep disordered breathing (SDB), SDB was not a significant predictor of sleep dysfunction.

DISCUSSION

Factors associated with sleep dysfunction in HF include medications with sleepiness as a side-effect, depression, poorer health perceptions, and better sleep hygiene. Sleep dysfunction may motivate HF patients to address sleep hygiene. Eliminating medications with sleepiness as a side-effect, treating depression and perceptions of poor health may improve sleep quality in HF patients.

The contribution of heart failure to sleep disturbances and depressive symptoms in older adults

BACKGROUND

The aim of this study was to explore the associations between physical symptoms, sleep disturbances, and depressive symptoms in community-dwelling elderly individuals, comparing persons with and without heart failure (HF).

METHODS

A total of 613 older adults (mean age 78 years) underwent clinical and echocardiographic examinations. Questionnaires were used to evaluate sleep disturbances and depressive symptoms. A model was developed in those with HF (n = 107) and compared with those without HF (n = 506).

RESULTS

Cardiopulmonary symptoms (ie, dyspnea and nighttime palpitations) and pain had significant direct associations with sleep disturbances, which indirectly affected depressive symptoms. The model was essentially the same in those with and without HF except that the effect of sleep disturbances on depressive symptoms was stronger in those with HF (β = 0.64 vs β = 0.45, P = .006).

CONCLUSION

In community-dwelling older adults, regardless of their diagnosis, physical symptoms had a direct effect on sleep disturbances and an indirect effect on depressive symptoms.

Impact of sleepiness and sleep deficiency on public health--utility of biomarkers

Sleep disorders and sleep deficiency are important causes of adverse health effects and increased mortality in the United States and worldwide. Sleep deficiency can also result in myriad adverse behavioral consequences, including profound sleepiness, cognitive slowing, automatic behavior, attentional failures and performance degradation, errors, and accidents. It is important to recognize that sleepiness and sleep deficiency are not synonymous.

Determinants of excessive daytime sleepiness and fatigue in adults with heart failure

Little is known about excessive daytime sleepiness (EDS) in heart failure (HF). The aim of this cross-sectional descriptive study was to describe the prevalence of EDS and factors associated with it in HF. A secondary purpose was to explore the correlates of fatigue. We enrolled a consecutive sample of 280 adults with a confirmed diagnosis of chronic HF from three outpatient settings in the northeastern United States. Patients with major depressive illness were excluded. Clinical, sociodemographic, behavioral, and perceptual factors were explored as possible correlates of EDS. Using an Epworth Sleepiness Scale score > 10, the prevalence of EDS was 23.6%. Significant determinants of EDS were worse sleep quality (p = .048), worse functional class (p = .004), not taking a diuretic (p = .005), and lack of physical activity (p = .04). Only sleep quality was associated with fatigue (p < .001). Sleep-disordered breathing was not significantly associated with EDS or with fatigue. These factors may be amenable to intervention.

Sleep disordered breathing with excessive daytime sleepiness is a risk factor for mortality in older adults

STUDY OBJECTIVES

Excessive daytime sleepiness (EDS) is associated with increased mortality in older adults, yet sleep disordered breathing (SDB), a common cause of sleepiness, has not been shown to increase mortality in older adults. This study examined the relationship between daytime sleepiness, SDB, self-report sleep parameters, and mortality in older adults.

DESIGN

Longitudinal cohort study.

SETTING

Clinical and Translational Research Center, at-home testing.

PARTICIPANTS

289 study participants (age >65, no dementia or depression at the time of enrollment) classified as having EDS (n=146) or not (n=143).

MEASUREMENTS AND RESULTS

Study participants underwent in-lab polysomnography and multiple sleep latency testing at cohort inception. Survival analysis was conducted, with an average follow-up of 13.8 years. Excessive daytime sleepiness was associated with an unadjusted mortality hazard ratio of 1.5 (95% CI 1.1-2.0). The unadjusted mortality hazard ratio for study participants with both EDS and SDB (apnea-hypopnea index ≥20 events/h) was 2.7, 95% CI: 1.8-4.2. These findings persisted with an adjusted mortality hazard ratio of 2.3, 95% CI: 1.5-3.6 in the final model that included other covariates associated with increased mortality (sleep duration >8.5 h, self-reported angina, male gender, African American race, and age).

CONCLUSION

The presence of SDB is an important risk factor for mortality from excessive daytime sleepiness in older adults. In the presence of SDB at an AHI ≥20 events/h, EDS was associated with an increased all-cause mortality risk in older adults, even when adjusting for other significant risk factors, such as prolonged sleep duration. In older patients who had SDB without EDS, or EDS without SDB, there was no increased all-cause mortality rate.

Cognitive function and sleep related breathing disorders in a healthy elderly population: the SYNAPSE study

STUDY OBJECTIVES

Sleep related breathing disorders (SRBD) are risk factors for cognitive dysfunction in middle-aged subjects, but this association has not been observed in the elderly. We assess the impact of SRBD on cognitive performance in a large cohort of healthy elderly subjects.

DESIGN

Cross-sectional study examining the association between subjective memory test, neuropsychological battery testing and SRBD in the elderly.

SETTING

Community-based sample in home and research clinical settings.

PARTICIPANTS

827 subjects, 58.5% women, aged 68 y at study entry, participated in the study. All were free of previously diagnosed SRBD, coronary heart disease, and neurological disorders, including stroke and dementia. Clinical interview, neurological assessment, polygraphy, and extensive cognitive testing were conducted for all participants.

INTERVENTION

N/A.

MEASUREMENT AND RESULTS

SRBD (apnea-hypopnea index [AHI] > 15 events/h) was diagnosed in 445 (53%) subjects, 167 (37%) of them with AHI > 30. Minimal daytime sleepiness was found in the group; 9.2% of the population had an Epworth Sleepiness Scale score > 10. No significant association was found between AHI, nocturnal hypoxemia, and cognitive scores. Comparison of mild vs severe cases showed a trend toward lower cognitive scores with AHI > 30, affecting delayed recall and Stroop test.

CONCLUSIONS

The impact of undiagnosed SRBD on cognitive function appeared quite limited in a generally older healthy population, and only slightly affected severe cases. The implication of undiagnosed SRBD on the cognitive impairment in elderly subjects remains hypothetical and needs to be prospectively studied.

Poor sleep and impaired self-care: towards a comprehensive model linking sleep, cognition, and heart failure outcomes

BACKGROUND

Persons with heart failure (HF) have significantly lower sleep quantity and quality than persons without HF. The purpose of this article is to propose a conceptual model describing how poor sleep may contribute to inadequate self-care and untoward outcomes in persons with HF.

AIMS

Our overarching hypothesis is that sleep affects self-care and outcomes through its effects on cognition. Building on the work of others, we outline a conceptual model that illustrates that even transient sleep disruption prevents sleep-related restorative processes and contributes to cognitive dysfunction-especially in the 25-50% of HF patients with existing cognitive impairment. Poor sleep may be sufficient to impair cognition to a level that interferes with higher order functions involved in effective HF self-care practices. Through these mechanisms, inadequate sleep may contribute to poor outcomes such as low health-related quality of life and greater risk of unplanned hospitalization.

CONCLUSION

The proposed model (1) bridges physical, neuropsychological and behavioral phenomena, (2) suggests a mechanism by which poor sleep affects daytime behavior, and (3) is empirically testable. Exploring factors that interfere with sleep may improve self-care and outcomes in persons with HF.

Problems associated with short sleep: bridging the gap between laboratory and epidemiological studies

Existing data from laboratory studies suggest a number of negative consequences of acute reductions in sleep time. Also, epidemiological data suggest links between shorter self-reported sleep duration and negative health outcomes. These bodies of work are growing, revealing several key points of convergence and opportunities for future exploration. In addition, they begin to highlight possible problems experienced by "short sleepers," who sleep approximately 6h or less per night. While it is likely that this group is heterogeneous, comprised both of individuals with less need for sleep and those not sleeping enough, the laboratory and epidemiological findings point towards directions that can be more fully explored in verified short sleepers. This paper discusses problems associated with the terminology used to describe "short sleep," summarizes laboratory studies exploring neurobehavioral performance, metabolism and obesity, and psychological health and epidemiological studies exploring mortality risk, obesity and metabolism, cardiovascular disease, and general health/psychosocial stress, describes studies of verified short sleepers and explores areas of convergence, laying out possible future directions.

Sleepiness, physical activity, and functional outcomes in veterans with type 2 diabetes

The purpose of this study was to explore the association between daytime sleepiness on physical activity and functional outcomes in veterans with type 2 diabetes. Physical activity was based on mean self-reported minutes walked per week; the American Diabetes Association's recommendation of 150 minutes activity per week was used to dichotomize participants as sedentary or active. The Epworth Sleepiness Scale measured sleepiness. Sleepy participants had significantly lower scores on the Functional Outcomes of Sleep Questionnaire. Sleepiness was predictive of being sedentary (p = .01) after controlling for age and body mass index. The conclusion is that daytime sleepiness may impede physical activity among veterans with diabetes, confounding self-management.

Daytime sleepiness, diabetes, and psychological well-being

Nominal group technique was used with persons with type 2 diabetes to identify and rank the severity of problems associated with being sleepy. Participants were adults who were subjectively sleepy according to the Epworth Sleepiness Scale. Daytime sleepiness was associated with a general decrease in motivation to engage in activities that are important to the management of diabetes. Because decreased motivation may have a negative influence on psychological well-being, it is important that health care providers assess not only for how well their patients' diabetes is being controlled, but also for sleep disturbances and the patients' general state of psychological well-being.