Poor self-reported sleep quality predicts mortality within one year of inpatient post-acute rehabilitation among older adults

Improving Sleep Using Mentored Behavioral and Environmental Restructuring (SLUMBER)

OBJECTIVES

To evaluate the impact of a mentoring program to encourage staff-delivered sleep-promoting strategies on sleep, function, depression, and anxiety among skilled nursing facility (SNF) residents.

DESIGN

Modified stepped-wedge unit-level intervention.

SETTING AND PARTICIPANTS

Seventy-two residents (mean age 75 ± 15 years; 61.5% female, 41% non-Hispanic white, 35% Black, 20% Hispanic, 3% Asian) of 2 New York City urban SNFs.

METHODS

Expert mentors provided SNF staff webinars, in-person workshops, and weekly sleep pearls via text messaging. Resident data were collected at baseline, post-intervention (V1), and 3-month follow-up (V2), including wrist actigraphy, resident behavioral observations, Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ-9) depression scale, Brief Anxiety and Depression Scale (BADS), Brief Cognitive Assessment Tool (BCAT), and select Minimum Data Set 3.0 (MDS 3.0) measures. Linear mixed models were fit for continuous outcomes and mixed-effects logistic models for binary outcomes. Outcomes were modeled as a function of time. Planned contrasts compared baseline to V1 and V2.

RESULTS

There was significant improvement in PSQI scores from baseline to V1 (P = .009), and from baseline to V2 (P = .008). Other significant changes between baseline and V1 included decreased depression (PHQ-9) (P = .028), increased daytime observed out of bed (P ≤ .001), and increased daytime observed being awake (P < .001). At V2 (vs baseline) being observed out of bed decreased (P < .001). Daytime sleeping by actigraphy increased from baseline to V1 (P = .004), but not V2. MDS 3.0 activities of daily living and pain showed improvements by the second quarter following implementation of SLUMBER (P's ≤ .034). There were no significant changes in BADS or BCAT between baseline and V1 or V2.

CONCLUSIONS AND IMPLICATIONS

SNF residents had improvements in sleep quality and depression with intervention, but improvements were not sustained at 3-month follow-up. The COVID-19 pandemic led to premature study termination, so full impacts remain unknown.

Insomnia Symptoms and Environmental Disruptors: A Preliminary Evaluation of Veterans in a Subacute Rehabilitation

OBJECTIVES

Evaluate insomnia symptoms and environmental disruptors at admission and discharge in a subacute rehabilitation care setting.

METHODS

Veterans (age ≥50) admitted to a Veterans Health Administration (VA) Hospital subacute rehabilitation between March and August 2022 completed baseline (N = 46) and follow up (N = 33) assessments with the Insomnia Severity Index (ISI), Sleep Need Questionnaire (SNQ), Epworth Sleepiness Scale (ESS), and an assessment of environmental sleep disruptors. Veterans were offered sleep resources after admission evaluations and outpatient referrals after discharge evaluations. Pearson correlation determined associations between length of stay (LOS), ISI, SNQ, and ESS scores at admission and discharge; chi-square and Wilcoxon Signed Rank Tests compared insomnia at admission and discharge.

RESULTS

One-half of participants reported clinically meaningful insomnia symptoms and sleep needs at baseline with no significant change at discharge. Almost all (89.1%) Veterans reported sleep was disturbed by environmental factors, primarily staff awakenings. LOS was correlated with ESS scores at discharge (r = .52, p = .002).

CONCLUSIONS

Environmental sleep disruption was common during a subacute rehabilitation admission and were not adequately addressed through sleep resources and treatment due to low uptake.

CLINICAL IMPLICATIONS

Providers should assess sleep at admission and lessen environmental sleep disruptors by reducing noise, light, and non-essential awakenings at night.

The influence of baseline sleep on exercise-induced cognitive change in cognitively unimpaired older adults: A randomised clinical trial

OBJECTIVES

Observational studies consistently demonstrate that physical activity is associated with elevated cognitive function, however, there remains significant heterogeneity in cognitive outcomes from randomized exercise interventions. Individual variation in sleep behaviours may be a source of variability in the effectiveness of exercise-induced cognitive change, however this has not yet been investigated. The current study aimed to (1) investigate the influence of a 6-month exercise intervention on sleep, assessed pre- and post-intervention and, (2) investigate whether baseline sleep measures moderate exercise-induced cognitive changes.

METHODS

We utilised data from the Intense Physical Activity and Cognition (IPAC) study (n = 89), a 6-month moderate intensity and high intensity exercise intervention, in cognitively unimpaired community-dwelling older adults aged 60-80 (68.76 ± 5.32). Exercise was supervised and completed on a stationary exercise bicycle, and cognitive function was measured using a comprehensive neuropsychological battery administered pre- and post-intervention. Sleep was measured using the Pittsburgh sleep quality index. There was no effect of the exercise intervention on any sleep outcomes from pre- to post-intervention.

RESULTS

There was a significant moderating effect of baseline sleep efficiency on both episodic memory and global cognition within the moderate intensity exercise group, such that those with poorer sleep efficiency at baseline showed greater exercise-induced improvements in episodic memory.

CONCLUSIONS

These results suggest that those with poorer sleep may have the greatest exercise-induced cognitive benefits and that baseline sleep behaviours may be an important source of heterogeneity in previous exercise interventions targeting cognitive outcomes.

The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review

Low levels of physical activity (PA) and sleep disruption are commonly seen in older adult inpatients and are associated with poor health outcomes. Wearable sensors allow for objective continuous monitoring; however, there is no consensus as to how wearable sensors should be implemented. This review aimed to provide an overview of the use of wearable sensors in older adult inpatient populations, including models used, body placement and outcome measures. Five databases were searched; 89 articles met inclusion criteria. We found that studies used heterogenous methods, including a variety of sensor models, placement and outcome measures. Most studies reported the use of only one sensor, with either the wrist or thigh being the preferred location in PA studies and the wrist for sleep outcomes. The reported PA measures can be mostly characterised as the frequency and duration of PA (Volume) with fewer measures relating to intensity (rate of magnitude) and pattern of activity (distribution per day/week). Sleep and circadian rhythm measures were reported less frequently with a limited number of studies providing both physical activity and sleep/circadian rhythm outcomes concurrently. This review provides recommendations for future research in older adult inpatient populations. With protocols of best practice, wearable sensors could facilitate the monitoring of inpatient recovery and provide measures to inform participant stratification and establish common objective endpoints across clinical trials.

Sleep Quality Should Be Assessed in Inpatient Rehabilitation Settings: A Preliminary Study

OBJECTIVES

In this preliminary, longitudinal study, our objective was to assess changes in sleep quality during an inpatient stay in a rehabilitation setting in the United States and to relate changes to patients' demographic and clinical characteristics (i.e., age, gender, BMI, ethnicity, reason for hospitalization, pre-hospital living setting, prior diagnosis of sleep disorders, and mental health status).

METHODS

A total of 35 patients participated in this preliminary study (age = 61 ± 16 years old, 50% <65; BMI = 30 ± 7 kg/m²; 51% female; 51% Caucasian). The average length of hospitalization was 18 ± 8 days. Reasons for hospitalization included orthopedic-related issues (28%), spinal cord injury (28%), stroke (20%), and other (23%). In this sample, 23% had prior sleep disorders (mostly sleep apnea), and 60% came from an acute care unit. Patients' sleep quality was assessed using the Pittsburgh sleep quality index (PSQI) at admission and before discharge. Demographic and medical data were collected. Patients' mental health status was also assessed at the same intervals. Nighttime sound levels and the average number of sleep disturbances were also collected throughout the study (6 months).

RESULTS

Our data revealed that most patients had poor sleep (PSQI > 5) at admission (86%) and discharge (80%). Using a repeated ANOVA, a significant interaction was obtained between sleep quality and the presence of a diagnosed sleep disorder [F (1, 33) = 12.861, p = 0.001, η²_p = 0.280]. The sleep quality of patients with sleep disorders improved over their stay, while the sleep of patients without such disorders did not. The mean nighttime sound collection level averages and peaks were 62.3 ± 5.1 dB and 86.1 ± 4.9 dB, respectively, and the average number of sleep disturbances was 2.6 ± 1.1.

CONCLUSION

The improved sleep observed in patients with vs. without sleep disorders might be related to the care received for treating such disorders over the stay. Our findings call for the better detection and management of poor sleep in acute inpatient rehabilitation settings. Furthermore, if our findings are replicated in the future, studies on the implementation of quiet times for medical staff, patients, and family should be performed to improve sleep quality in the inpatient rehabilitation setting.

Improving sleep using mentored behavioral and environmental restructuring (SLUMBER): A randomized stepped-wedge design trial to evaluate a comprehensive sleep intervention in skilled nursing facilities

INTRODUCTION

Poor sleep is ubiquitous in skilled nursing facilities (SNFs) and is associated with a myriad of negative symptoms. Non-pharmacological interventions can improve sleep, yet sustainability has not been demonstrated. The Improving Sleep Using Mentored Behavioral and Environmental Restructuring (SLUMBER) trial will test whether a staff mentoring approach to address resident sleep issues positively impacts sleep quality and whether improved sleep benefits mood, cognitive performance, and activity engagement for residents living in SNFs.

INTERVENTION

This is a four-year hybrid type I effectiveness/implementation randomized stepped-wedge trial using a comprehensive sleep improvement program conducted in three urban SNFs.

METHODS

We will provide SNF staff with sleep promotion strategies over a four-month intervention. Staff will have access to in-person workshops, webinars, weekly sleep pearls via text messaging, environmental data, and expert program mentors. We will consent residents for data collection (at baseline, end of intervention, and three- and six-months post-intervention) including resident observations, questionnaires, and wrist actigraphy (to objectively measure sleep). We will also use selected Minimum Data Set 3.0 (MDS) measures.

CONCLUSION

SLUMBER uses a unique strategy to iteratively improve sleep interventions through SNF staff buy-in, expert mentoring, and technological supports within a quality improvement framework. As a stepped-wedge trial, the initial SNF units provide opportunities for program improvement in subsequent units, accounting for variation across resident populations at different sites. Protocol limitations include strategies which may require substantial customization for greater spread. A comprehensive staff training program that addresses both sleep quality and related symptoms has the opportunity for considerable dissemination.

TRIAL REGISTRATION

USGOV Clinical Trials ID: NCT03327324.

How people wake up is associated with previous night's sleep together with physical activity and food intake

How people wake up and regain alertness in the hours after sleep is related to how they are sleeping, eating, and exercising. Here, in a prospective longitudinal study of 833 twins and genetically unrelated adults, we demonstrate that how effectively an individual awakens in the hours following sleep is not associated with their genetics, but instead, four independent factors: sleep quantity/quality the night before, physical activity the day prior, a breakfast rich in carbohydrate, and a lower blood glucose response following breakfast. Furthermore, an individual's set-point of daily alertness is related to the quality of their sleep, their positive emotional state, and their age. Together, these findings reveal a set of non-genetic (i.e., not fixed) factors associated with daily alertness that are modifiable.

Behavioral Health Services with Short-Stay Residents in Skilled Nursing Facilities: A Qualitative Study of Clinicians and Administrators

OBJECTIVES

The perspectives of professionals involved in behavioral health (BH) services with short-stay residents in skilled nursing facilities (SNFs) are rarely captured in the literature. This study examines the real-world experiences of BH clinicians and administrators in post-acute/subacute care units in SNFs.

METHODS

This qualitative study used semi-structured interviews with 18 clinicians (e.g., psychologists and social workers) and five administrators (e.g., directors of social services or BH company executives) involved in BH services with short-stay SNF residents. Interviews were recorded, transcribed, and analyzed by two independent coders using conventional thematic content analysis.

RESULTS

Three themes emerged from the data: (1) BH needs are high among short-stay residents and families during post-acute care transitions; (2) BH services offer multiple unique opportunities to enhance post-acute/subacute care in SNFs; and (3) barriers to providing optimal BH care exist at multiple levels and require action from BH clinicians and stakeholders.

CONCLUSIONS

Variability in clinician roles and barriers to optimized care suggest the need for future research targeting best practices and implementation strategies for BH services with short-stay SNF residents.

CLINICAL IMPLICATIONS

Results identified multiple ways in which BH services may enhance resident, family, and staff outcomes, as well as the milieu in SNFs.

Effects of nursing interventions to improve inpatients' sleep in intensive and non-intensive care units: Findings from an umbrella review

AIM

This review aimed to synthesise the available reviews on the effects of nursing interventions on sleep quality among patients hospitalised in intensive care and non-intensive care units.

BACKGROUND

Poor sleep quality is a common fact in hospitalised patients. Nurses can contribute to the improvement of patients' sleep quality and duration.

DESIGN

A review of intervention reviews was carried out and reported following the PRISMA guidelines and checklist.

METHODS

We systematically searched for reviews published from January 2009 to December 2019 in PubMed, CINAHL Plus, Scopus, Institute for Scientific Information Web of Science, Joanna Briggs Database of Systematic Reviews and Cochrane Central Register of Controlled Trials databases. Searches were repeated at 24 November 2020 to include the most recent evidence. A narrative synthesis of the results was conducted.

RESULTS

Nine reviews (representing 109 original papers) met the selection criteria and were included for critical appraisal. Overall, nursing interventions and sleep quality were poorly defined. We grouped the interventions into 3 categories (environmental, barrier and internal interventions) to provide a more comprehensive overview and examine effects of nursing interventions on inpatients sleep quality. Inconsistent results were obtained and low quality of the original articles was reported, making it difficult to establish absolute conclusions.

CONCLUSION

The impact of environmental changes on patients' sleep was positive but inconclusive, while use of earplugs and eye masks, music and acupuncture generally showed positive results with moderate quality of evidence, and no harmful effects were reported.

Relationships between physical activity, sleep and cognitive function: A narrative review

Physical activity and exercise can improve cognitive function and reduce the risk for dementia. Other lifestyle factors, including sleep, are associated with cognitive function and dementia risk, and exercise is an effective therapeutic strategy for improving sleep. Based on these associations, it has been hypothesised that sleep might be an important mediator for the effects of exercise on cognition. Here, we review the current literature to evaluate whether sleep and physical activity are independently or jointly associated with cognitive function. The extant literature in this area is minimal, and the causal relationships between physical activity, sleep and cognition have not been examined. A small number of cross-sectional studies in this area suggest that physical activity may attenuate some of the negative impact that poor sleep has on cognition, and also that sleep may be a mechanism through which physical activity improves cognitive abilities. Further research may enable the development of individually tailored intervention programs to result in the greatest cognitive benefit, ultimately delaying the onset of Alzheimer's disease.

Is it Noise? Factors Linked With Sleep Interruption in Hospitalized Patients

PURPOSE/AIM

The aim of this study was to explore the perceived quality of sleep and sleep disturbances in hospitalized patients.

DESIGN

A prospective descriptive, exploratory, cross-sectional study was conducted at a 172-bed community hospital in Northeast Ohio. A convenient sample of 100 hospitalized patients was recruited from medical/surgical, progressive care, and intensive care units.

METHODS

Participants used the Richards-Campbell Sleep Questionnaire to report sleep. A quality of sleep assessment survey was used to collect information regarding 17 factors leading to decreased quality of sleep.

RESULTS

Mean sleep score was 47.92 for each question regarding sleep depth, latency, awakenings, time spent awake, and overall sleep quality. Pearson's correlation showed a significantly positive correlation between measure of noise and sleep score. Five environmental factors were identified as most disruptive to sleep: pain, laboratory draws, staff, blood pressure checks, and intravenous alarms.

CONCLUSION

The positive correlation between sleeping well and higher noise levels is noteworthy. Raising awareness about the importance of sleep in the hospital setting and introducing interventions to promote a quiet environment and minimize sleep-disturbing factors may increase patient satisfaction scores and improve healing.

Perceived versus objective sleep quality in long-stay hospitalised older adults-a mixed methods study

BACKGROUND

Hospital inpatients experience substantial sleep problems that have been linked with worse health outcomes, poor quality of life and the post-hospital syndrome. However, little is known about assessing sleep issues in older hospitalised patients.

OBJECTIVE

To conduct an in-depth investigation on hospitalised older adults' sleep challenges and methods of sleep assessment.

DESIGN

Cross-sectional observational study.

SETTING

Public hospital inpatient unit.

SUBJECTS

Long-stay hospitalised older adults.

METHODS

Data were collected using validated sleep questionnaires, actigraphy devices and qualitative interviews. Quantitative data were analysed with descriptive statistics, multiple logistic regression and Cohen's Kappa. Qualitative data were analysed with qualitative content analysis; findings compared to the quantitative assessments.

RESULTS

We collected data on 33 older long-stay hospital inpatients, who were mean (SD) 80.2(7.4) years old, 57.6% female and were hospitalised following stroke, medical illness and orthopaedic fracture. Mean (SD) total sleep time and actigraphic sleep efficiency were 480.6(73.6) minutes and 81.5(11.2)%, respectively. About, 57.6% were poor sleepers (Pittsburgh Sleep Quality Index [PSQI]) and 30.8% had indicators of clinical depression/low quality of life (WHO-5 well-being index). Three main themes were identified: "sleep assessment"; "factors that affect sleep"; "expectations of sleep". Bad sleepers were more likely to feel a lack of control over their sleep, while good sleepers spoke about the ability to adjust and accept their circumstances.

CONCLUSIONS

We found high levels of sleep problems and identified substantial discrepancies between the validated sleep questionnaire and qualitative response data. Our findings indicate that standard assessment tools, such as PSQI, may not be suitable to assess sleep in hospitalised older adults and call for further investigations to build more appropriate methods. Further exploring psychological factors and expectations could potentially lead to novel interventions to improve sleep in this setting.

The Development of a Rapid Classification Scale for Sleep Quality in Community-Dwelling Older Adults - The Yilan Study, Taiwan

OBJECTIVE

Poor sleep quality is prevailing, deleterious, but heterogeneous in older adults. This study aimed to develop a simplified instrument to screen and classify poor sleep quality in community-dwelling older adults, by which stepped care with needs-based interventions could be implemented.

METHODS

Cohorts of adults aged 65 years and older were used to develop the Rapid Classification Scale for Sleep Quality (RCSSQ). Poor sleep quality was defined with the Pittsburgh Sleep Quality Index (PSQI). Established subgroups of poor sleep quality in the development dataset (n = 2622) were used as the criterion standard. Two independent validation datasets (n = 964 and 193, respectively) were used to examine the external validity. Questions in the PSQI were examined by the stepwise multinomial logistic regressions to determine the optimal numbers of items in the RCSSQ. On the premise of item parsimony and instrument validity, the optimal combination of reduced items was determined.

RESULTS

In the development dataset, the 4-item RCSSQ (RCSSQ-4) was the optimal predictive model. In terms of internal validity, the accuracy rates to identify PSQI-defined poor sleep quality and its subgroups in the developmental dataset by the RCSSQ-4 were 89.0% and 79.9%, respectively. Meanwhile, the RCSSQ-4 also had good external validity in the validation datasets to detect PSQI-defined poor sleep quality (accuracy rates: 89.1-90.7%). Furthermore, the profiles of PSQI component scores and comorbid conditions for the predicted subgroups in the validation dataset were comparable with the criterion standard.

CONCLUSION

The RCSSQ-4 is a valid instrument for screening and subgrouping poor sleep quality in community-dwelling older adults. The RCSSQ-4 may help guide tailored interventions under the context of stepped care in the community.

Restfulness from sleep and subsequent cardiovascular disease in the general population

We aimed to clarify the association between restfulness from sleep and subsequent risk of cardiovascular disease (CVD). Medical records of 1,980,476 individuals with neither prior history of CVD nor sleep disorders were extracted from the Japan Medical Data Center. Restfulness from sleep was subjectively assessed using information from the questionnaires at initial health check-ups. The mean age was 45 ± 11 years and 1,184,937 individuals were men. Overall, 1,197,720 individuals (60.5%) reported having good restfulness from sleep. The mean follow-up period was 1122 ± 827 days. Myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation occurred in 3673 (0.2%), 30,241 (1.5%), 13,546 (0.7%), 28,296 (1.4%), and 8116 (0.4%) individuals, respectively. Multivariable Cox regression analyses including age, sex, and other CVD risk factors after multiple imputation for missing values showed that good restfulness from sleep was associated with lower incidence of myocardial infarction (hazard ratio [HR] 0.89, 95% confidence interval [CI] 0.83-0.95), angina pectoris (HR 0.85, 95% CI 0.83-0.87), stroke (HR 0.85, 95% CI 0.82-0.88), heart failure (HR 0.86, 95% CI 0.84-0.88), and atrial fibrillation (HR 0.93, 95% CI 0.89-0.97). The association of restfulness from sleep with CVD events was pronounced in subjects with younger age and female sex. In conclusion, good restfulness from sleep may be associated with the lower risk of myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation. Further studies are required to clarify the underlying mechanism and to develop a novel preventive approach for CVD from the perspective of sleep.

A Cohort Study of Sleep Quality in Adult Patients with Acute Pulmonary Exacerbations of Cystic Fibrosis

INTRODUCTION

The impact of an acute pulmonary exacerbation of CF on sleep quality has not been established. Patients have greater burden of symptoms, higher intensity of therapy, and are often admitted to hospital outside of their usual sleeping environment.

METHODS

This prospective, observational study determined the prevalence of impaired sleep quality and associated factors in adult patients admitted to a single CF unit with an acute pulmonary exacerbation of CF. Sleep quality was defined by the Pittsburgh Sleep Quality Index (PSQI), with >5 indicating poor sleep quality. Data was obtained through patient questionnaires, chart review, and examination.

RESULTS

Sixty-six percent of patients had impaired sleep quality. Patients with poor sleep had more sleep disruption due to pain (median response "mild sleep disruption" vs "no sleep disruption" p=0.003) and insomnia (mean insomnia severity index (ISI) 13 vs 5, p<0.001). In patients with symptoms of restless legs, poor sleepers had worse symptoms (mean IRLSS 15 vs 5, p=0.029). Univariate modelling showed relationships between PSQI and symptoms of depression and anxiety as well as with sleep disruption due to pain, general noise, and nursing observations. In a multivariable model, ISI was the only variable that remained significantly associated with PSQI. Mean PSQI score increased 0.58 units for each 1 unit increase in ISI (95% CI 0.42-0.73, p<0.001).

CONCLUSIONS

Poor sleep quality is common among patients admitted with an acute exacerbation of CF and is strongly associated with insomnia symptoms in this cohort. This article is protected by copyright. All rights reserved.

Sleep and Delirium in Older Adults

Purpose of Review

Poor sleep and delirium are common in older patients but recognition and management are challenging, particularly in the intensive care unit (ICU) setting. The purpose of this review is to highlight current research on these conditions, their inter-relationship, modes of measurement, and current approaches to management.

Recent Findings

Sleep deprivation and delirium are closely linked, with shared clinical characteristics, risk factors, and neurochemical abnormalities. Acetylcholine and dopamine are important neurochemicals in the regulation of sleep and wakefulness and their dysregulation has been implicated in development of delirium. In the hospital setting, poor sleep and delirium are associated with adverse outcomes; non-pharmacological interventions are recommended, but tend to be resource intensive and hindered by a lack of reliable sleep measurement tools. Delirium is easier to identify, with validated tools available in both ICU and non-ICU settings; however, an optimal treatment approach remains unclear. Antipsychotics are used widely to prevent and treat delirium, although the efficacy data are equivocal. Bundled non-pharmacologic approaches represent a promising framework for prevention and management.

Summary

Poor sleep and delirium are common problems in older patients. While these phenomena appear linked, a causal relationship is not clearly established. At present, there are no established sleep-focused guidelines for preventing or treating delirium. Novel interventions are needed that address poor sleep and delirium, particularly in older adults.

Sleep Quality and Daytime Functioning in Older European Adults

Abstract. The aim of this article was to review research studies related to the issues of sleep in older adults, examining the relationship between sleep quality and a set of psychological variables of daytime functioning in healthy older adults: quality of life, subjective health, functional ability, cognitive function, and emotional state, in Europe. Combined scoping review search strategies resulted in a total of 84 articles selected for review. We conclude there is a considerable amount of European research on sleep quality and its correlates in older adults’ population. Studying these relationships may be the basis for the targeted planning of psychological interventions aiming at raising the quality of life in older adults. The selected domains of older adults’ everyday functioning were all well represented in the retrieved research studies.

The effects of depression and age on sleep disturbances in patients with non-dialysis stage 3-5 chronic kidney disease: a single-center study

PURPOSE

Sleep disturbances have a negative impact on the prognosis of chronic kidney disease (CKD). However, information on the prevalence and predictors is limited. This study aimed to evaluate the prevalence and explore clinical factors affecting the quality of sleep in patients with non-dialysis CKD.

METHODS

Participants included 152 adult non-dialysis patients with stage 3-5 CKD. Demographic and clinical data were collected. Sleep quality and depression were assessed using the Pittsburgh Sleep Quality Index (PSQI) and Beck Depression Inventory (BDI), respectively. Sleep disturbances were defined as a PSQI score ≥ 5. Logistic regression was conducted to explore the independent factors of sleep disturbances. Clinical parameters were correlated with BDI scores using linear regression models.

RESULTS

The total prevalence of patients with sleep disturbances was 66.4%. Older age, higher BDI scores, lower estimated glomerular filtration rate (eGFR) changes per month (△eGFR/m) before the study, and lower serum magnesium levels were found in patients with sleep disturbances. BDI scores (odds ratio [OR] 1.224, 95% confidence interval [CI] 1.091-1.373, p = 0.001) and age (OR 1.041, 95% CI 1.013-1.069, p = 0.003) were independent predictors of sleep disturbances. Serum uric acid levels (β - 0.629, 95% CI - 1.244 to - 0.013, p = 0.046), △eGFR/m before the study (β - 0.454, 95% CI - 0.885 to - 0.024, p = 0.039), and daily protein intake (β - 0.052, 95% CI - 0.102 to - 0.002, p = 0.043) were negatively associated with BDI scores.

CONCLUSION

A high overall prevalence of sleep disturbances was found in patients with non-dialysis stage 3-5 CKD. Depression, as a manageable predictor, should be managed, especially in elderly patients.

Sleepless in the hospital: A systematic review of non-pharmacological sleep interventions

OBJECTIVE

Poor sleep is highly prevalent in inpatient medical settings and has been associated with attenuated healing and worsened outcomes following hospitalization. Although nonpharmacological interventions are preferred, little is known about the best way to intervene in hospital settings.

METHOD

A systematic review of published literature examining nonpharmacological sleep interventions among inpatients in Embase, PsycINFO and PubMed in accordance with PRISMA guidelines.

RESULTS

Forty-three of the 1529 originally identified manuscripts met inclusion criteria, encompassing 2713 hospitalized participants from 18 countries comprised of psychiatric and older adult patients living in hospital settings. Main outcomes were subjective and objective measures of sleep duration, quality, and insomnia.

CONCLUSIONS

Overall, the review was unable to recommend any specific intervention due to the current state of the literature. The majority of included research was limited in quality due to lack of controls, lack of blinding, and reliance on self-reported outcomes. However, the literature suggests melatonin and CBT-I likely have the most promise to improve sleep in inpatient medical settings. Additionally, environmental modifications, including designated quiet time and ear plugs/eye masks, could be easily adopted in the care environment and may support sleep improvement. More rigorous research in nonpharmacological sleep interventions for hospitalized individuals is required to inform clinical recommendations.

Sleep Quality and Sleep Duration with CKD are Associated with Progression to ESKD

BACKGROUND AND OBJECTIVES

Shorter or longer sleep duration and poor sleep quality are risk factors for numerous cardio-metabolic diseases, cardiovascular disease, and mortality in subjects with normal kidney function. The association of sleep duration and sleep quality with health outcomes in patients with CKD remains uncertain.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

A 4-year prospective cohort study in 17 nephrology centers in Japan, the CKD Japan Cohort (CKD-JAC) Study, assessed an association of self-reported sleep duration and sleep quality, on the basis of the Pittsburgh Sleep Quality Index (PSQI) questionnaire, with incidence of ESKD in 1601 patients with eGFR 10-59 ml/min per 1.73 m2 using multivariable-adjusted Cox proportional hazards models.

RESULTS

Baseline sleep duration and PSQI global score for the 1601 patients were mean±SD 7.0±1.3 hours and median 4 (interquartile range, 3-7), respectively. Poor sleep quality (PSQI global score ≥6) was common (n=588 [37%]). During a median of 4.0 (2.6-4.3) years of the follow-up period, 282 (18%) patients progressed to ESKD. After adjusting for age, sex, eGFR, urinary albumin excretion, smoking status, body mass index, history of diabetes and cardiovascular disease, systolic BP, blockade of the renin-angiotensin system, use of hypnotics, and Beck depression inventory score, both shorter (≤5 hour) and longer (>8 hour) sleep duration were associated with ESKD (adjusted hazard ratios [95% confidence intervals] for ≤5.0, 5.1-6.0, 6.1-7.0, 7.1-8.0, and ≥8.0 hours were 2.05 [1.31 to3.21], 0.98 [0.67 to 1.44], 1.00 [reference], 1.22 [0.89 to 1.66], and 1.48 [1.01 to 2.16]), suggesting a U-shaped relationship between sleep duration and ESKD. PSQI global score ≥6 was also associated with incidence of ESKD (adjusted hazard ratios [95% confidence intervals] for PSQI global score ≤5 and ≥6 were 1.00 [reference] and 1.33 [1.03 to 1.71]).

CONCLUSIONS

Shorter (≤5 hour) and longer (>8 hour) sleep duration and poor sleep quality (PSQI global score ≥6) were associated with ESKD in patients with CKD.

Quality and Quantity of Sleep and Factors Associated With Sleep Disturbance in Hospitalized Patients

IMPORTANCE

Although inadequate sleep has a proven negative association with health care outcomes, to date, no large-scale studies have examined sleep in general hospital wards.

OBJECTIVES

To assess the subjective quantity and quality of sleep and to identify the hospital-related factors associated with sleep disturbances in hospitalized patients.

DESIGN

For this nationwide, single-day, multicenter, cross-sectional, observational study, which took place on February 22, 2017, all hospitals in the Netherlands were encouraged by word of mouth and conventional and social media to participate in this study. A total of 39 hospitals participated. Included patients were at least 18 years of age, were able to give informed consent, and had spent at least 1 night in a regular-care hospital ward.

EXPOSURES

Hospitalization in a regular-care ward.

MAIN OUTCOMES AND MEASURES

Quantity and quality of last night's sleep in the hospital compared with habitual sleep at home the month before hospitalization. The Consensus Sleep Diary and the Dutch-Flemish Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance item bank were used. Complementary questions assessed sleep-disturbing factors.

RESULTS

A total of 2005 patients were included (median age, 68 years; interquartile range, 57-77 years; 994 of 1935 [51.4%] were male [70 patients did not identify their sex]). Compared with habitual sleep at home, the total sleep time in the hospital was 83 minutes (95% CI, 75-92 minutes; P < .001) shorter. The mean number of nocturnal awakenings was 2.0 (95% CI, 1.9-2.1) times at home vs 3.3 (95% CI, 3.2-3.5) times during hospitalization (P < .001). Patients woke up 44 minutes (95% CI, 44-45 minutes; P < .001) earlier than their habitual wake-up time at home. A total of 1344 patients (70.4%) reported having been awakened by external causes, which in 718 (35.8%) concerned hospital staff. All aspects of sleep quality measured using PROMIS questions were rated worse during hospitalization than at home. The most reported sleep-disturbing factors were noise of other patients, medical devices, pain, and toilet visits.

CONCLUSIONS AND RELEVANCE

This study demonstrated that the duration and quality of sleep in hospitalized patients were significantly affected and revealed many potentially modifiable hospital-related factors negatively associated with sleep. Raising awareness about the importance of adequate sleep in the vulnerable hospital population and introducing interventions to target sleep-disturbing factors may improve healing.

Self-Reported Sleep Duration and Quality and Cardiovascular Disease and Mortality: A Dose-Response Meta-Analysis

Background There is growing evidence that sleep duration and quality may be associated with cardiovascular harm and mortality. Methods and Results We conducted a systematic review, meta-analysis, and spline analysis of prospective cohort studies that evaluate the association between sleep duration and quality and cardiovascular outcomes. We searched MEDLINE and EMBASE for these studies and extracted data from identified studies. We utilized linear and nonlinear dose-response meta-analysis models and used DerSimonian-Laird random-effects meta-analysis models of risk ratios, with inverse variance weighting, and the I2 statistic to quantify heterogeneity. Seventy-four studies including 3 340 684 participants with 242 240 deaths among 2 564 029 participants who reported death events were reviewed. Findings were broadly similar across both linear and nonlinear dose-response models in 30 studies with >1 000 000 participants, and we report results from the linear model. Self-reported duration of sleep >8 hours was associated with a moderate increased risk of all-cause mortality, with risk ratio , 1.14 (1.05-1.25) for 9 hours, risk ratio, 1.30 (1.19-1.42) for 10 hours, and risk ratio, 1.47 (1.33-1.64) for 11 hours. No significant difference was identified for periods of self-reported sleep <7 hours, whereas similar patterns were observed for stroke and cardiovascular disease mortality. Subjective poor sleep quality was associated with coronary heart disease (risk ratio , 1.44; 95% confidence interval, 1.09-1.90), but no difference in mortality and other outcomes. Conclusions Divergence from the recommended 7 to 8 hours of sleep is associated with a higher risk of mortality and cardiovascular events. Longer duration of sleep may be more associated with adverse outcomes compared with shorter sleep durations.

Sleep in Hospitalized Older Adults

Hospitalization is a period of acute sleep deprivation for older adults owing to environmental, medical, and patient factors. Although hospitalized patients are in need of adequate rest and recovery during acute illness, older patients face unique risks owing to acute sleep loss during hospitalization. Sleep loss in the hospital is associated with worse health outcomes, including cardiometabolic derangements and an increased risk of delirium. Because older patients are at risk of polypharmacy and medication side effects, a variety of nonpharmacologic interventions are recommended first to improve sleep loss for hospitalized older adults.

Perceived Partner Responsiveness Predicts Better Sleep Quality Through Lower Anxiety

The present study investigated whether perceived partner responsiveness—the extent to which individuals feel cared for, understood, and validated by their partner—predicted subjective sleep problems and objective (actigraph-based) sleep efficiency through lower anxiety and depression symptoms. A life span sample of 698 married or cohabiting adults (35–86 years old) completed measures of perceived partner responsiveness and subjective sleep problems. A subset of the sample ( N = 219) completed a weeklong sleep study where actigraph-based measures of sleep efficiency were obtained. Perceived partner responsiveness predicted lower self-reported global sleep problems through lower anxiety and depression and greater actigraph-assessed sleep efficiency through lower anxiety. All indirect associations held after controlling for emotional support provision to the partner, agreeableness, and demographic and health covariates known to affect sleep quality. These findings are among the first to demonstrate how perceived partner responsiveness, a core aspect of romantic relationships, is linked to sleep behavior.

Pilot study aiming to support sleep quality and duration during hospitalizations

BACKGROUND

Sleep is a vital part to healing and recovery, hence poor sleep during hospitalizations is highly undesirable. Few studies have assessed interventions to optimize sleep among hospitalized patients.

OBJECTIVE

To assess the effect of sleep-promoting interventions on sleep quality and duration among hospitalized patients.

DESIGN

Quasi-experimental prospective study.

SETTING

Academic medical center.

PARTICIPANTS

Adult patients on the general medicine ward.

INTERVENTION

Nurse-delivered sleep-promoting interventions augmented by sleep hygiene education and environmental control to minimize sleep disruption.

MEASUREMENTS

Objective and subjective measurement of sleep parameters using validated sleep questionnaires, daily sleep diary, and actigraphy monitor.

RESULTS

Of the 112 patients studied, the mean age was 58 years, 55% were female, the mean body mass index was 32, and 43% were in the intervention group. Linear mixed models tested mean differences in 7 sleep measures and group differences in slopes representing nightly changes in sleep outcomes over the course of hospitalization between intervention and control groups. Only total sleep time, computed from sleep diaries, demonstrated significant overall mean difference of 49.6 minutes (standard error [SE] = 21.1, P < 0.05). However, significant differences in average slopes of subjective ratings of sleep quality (0.46, SE = 0.18, P < 0.05), refreshing sleep (0.54, SE = 0.19, P < 0.05), and sleep interruptions (-1.6, SE = 0.6, P < 0.05) indicated improvements during hospitalization within intervention patients compared to controls.

CONCLUSION

This study demonstrated that there is an opportunity to identify patients not sleeping well in the hospital. Sleep-promoting initiatives, both at the unit level as well as individualized offerings, may improve sleep during hospitalizations, particularly over the course of the hospitalization. Journal of Hospital Medicine 2016;11:467-472. © 2016 Society of Hospital Medicine.

Measuring sleep quality in older adults: a comparison using subjective and objective methods

Sleep quality decreases with aging and thus sleep complaints are prevalent in older adults, particularly for those with cognitive impairment and dementia. For older adults, emerging evidence suggests poor sleep quality increases risk of developing cognitive impairment and dementia. Given the aging population-and the impending economic burden associated with increasing numbers of dementia patients-there is pressing need to improve sleep quality among older adults. As such, research efforts have increased focus on investigating the association between age-related sleep changes and cognitive decline in older adults. Sleep quality is a complex construct to evaluate empirically, and yet the Pittsburg Sleep Quality Index (PSQI) is commonly used in studies as their only measure of sleep quality. Furthermore, the PSQI may not be the best sleep quality measure for older adults, due to its reliance on the cognitive capacity to reflect on the past month. Further study is needed to determine the PSQI's validity among older adults. Thus, the current study examined sleep quality for 78 community dwelling adults 55+ to determine the PSQI's predictive validity for objective sleep quality (as measured by actigraphy). We compared two subjective measures of sleep quality-the PSQI and Consensus Sleep Diary (CSD)-with actigraphy (MotionWatch 8©; camntech). Our results suggest perceived sleep quality is quite different from objective reality, at least for adults 55+. Importantly, we show this difference is unrelated to age, gender, education, or cognitive status (assessed using standard screens). Previous studies have shown the PSQI to be a valuable tool for assessing subjective sleep quality; however, our findings indicate for older adults the PSQI should not be used as a substitute for actigraphy, or vice versa. Hence, we conclude best practice is to include both subjective and objective measures when examining sleep quality in older adults (i.e., the PSQI, CSD, and actigraphy).

Self-reported sleep duration mitigates the association between inflammation and cognitive functioning in hospitalized older men

Examination of predictors of late-life cognitive functioning is particularly salient in at-risk older adults, such as those who have been recently hospitalized. Sleep and inflammation are independently related to late-life cognitive functioning. The potential role of sleep as a moderator of the relationship between inflammation and global cognitive functioning has not been adequately addressed. We examined the relationship between self-reported sleep duration, inflammatory markers, and general cognitive functioning in hospitalized older men. Older men (n = 135; Mean age = 72.9 ± 9.7 years) were recruited from inpatient rehabilitation units at a VA Medical Center to participate in a cross-sectional study of sleep. Participants completed the Mini-Mental State Examination and Pittsburgh Sleep Quality Index, and underwent an 8 a.m. blood draw to measure inflammatory markers [i.e., C-reactive protein (CRP), tumor necrosis factor alpha (TNFα), soluble intercellular adhesion molecule-1 (sICAM-1), and interleukin-6 (IL-6)]. Hierarchical regression analyses (controlling for age, education, race, depression, pain, health comorbidity, and BMI) revealed that higher levels of CRP and sICAM are associated with higher global cognitive functioning in older men with sleep duration ≥6 h (β = −0.19, β = −0.18, p's < 0.05, respectively), but not in those with short sleep durations (p's > 0.05). In elderly hospitalized men, sleep duration moderates the association between inflammation and cognitive functioning. These findings have implications for the clinical care of older men within medical settings.

The relationship between serum asymmetric dimethylarginine levels and subjective sleep quality in normotensive patients with type 2 diabetes mellitus

BACKGROUND/AIMS

Poor sleep quality (SQ) is associated with increased cardiovascular mortality and morbidity. Additionally, asymmetric dimethylarginine (ADMA) is an independent predictor of cardiovascular mortality and morbidity. However, no sufficient data regarding the relationship between ADMA levels and SQ have been reported. The goal of the current study was to evaluate the association between SQ and ADMA levels in normotensive patients with type 2 diabetes mellitus.

METHODS

The study participants consisted of 78 normotensive type 2 diabetics. The SQ of all participants was assessed using the Pittsburgh Sleep Quality Index (PSQI). Patients with a global PSQI score > 5 were defined as "poor sleepers." Factors associated with poor SQ were analyzed using a multiple regression model. Serum ADMA levels were measured using high performance liquid chromatography.

RESULTS

The median ADMA levels of the poor sleepers were increased compared with patients defined as good sleepers (5.5 [4.2 to 6.6] vs. 4.4 [2.9 to 5.4], p < 0.01, respectively). However, the L-arginine/ADMA ratio was decreased in poor sleepers (p < 0.01). Global PSQI scores were positively correlated with ADMA levels (p < 0.01) and negatively correlated with the L-arginine/ADMA ratio (p = 0.02). ADMA levels were correlated with sleep latency (p < 0.01) and sleep efficiency (p = 0.01). Logistic regression analysis showed that ADMA levels (odds ratio [OR], 1.68; 95% confidence interval [CI], 1.16 to 2.44; p = 0.01) and body mass index (OR, 1.15; 95% CI, 1.01 to 1.31; p = 0.04) were associated with poor SQ independently of glomerular filtration rate, sex, age, duration of diabetes, hemoglobin A1c, total cholesterol, and systolic blood pressure.

CONCLUSIONS

Self-reported SQ was independently associated with ADMA levels in normotensive patients with diabetes mellitus.

Patterns and predictors of sleep quality before, during, and after hospitalization in older adults

STUDY OBJECTIVES

The impact of hospitalization on sleep in late-life is underexplored. The current study examined patterns of sleep quality before, during, and following hospitalization, investigated predictors of sleep quality patterns, and examined predictors of classification discordance between two suggested clinical cutoffs used to demarcate poor/good sleep.

METHODS

This study included older adults (n = 163; mean age 79.7 ± 6.9 years, 31% female) undergoing inpatient post-acute rehabilitation. Upon admission to inpatient post-acute rehabilitation, patients completed the Pittsburgh Sleep Quality Index (PSQI) retrospectively regarding their sleep prior to hospitalization. They subsequently completed the PSQI at discharge, and 3 months, 6 months, 9 months, and 1 year post discharge. Patient demographic and clinical characteristics (pain, depression, cognition, comorbidity) were collected upon admission.

RESULTS

Using latent class analysis methods, older adults could be classified into (1) Consistently Good Sleepers and (2) Chronically Poor Sleepers based on patterns of self-reported sleep quality pre-illness, during, and up to 1 year following inpatient rehabilitation. This pattern was maintained regardless of the clinical cutoff employed (> 5 or > 8). Logistic regression analyses indicated that higher pain and depressive symptoms were consistently associated with an increased likelihood of being classified as a chronic poor sleeper. While there was substantial classification discordance based on clinical cutoff employed, no significant predictors of this discordance emerged.

CONCLUSIONS

Clinicians should exercise caution in assessing sleep quality in inpatient settings. Alterations in the cutoffs employed may result in discordant clinical classifications of older adults. Pain and depression warrant detailed considerations when working with older adults on inpatient units when poor sleep is a concern.

Insomnia and symptoms of post-traumatic stress disorder among women veterans

Women will account for 10% of the Veteran population by 2020, yet there has been little focus on sleep issues among women Veterans. In a descriptive study of 107 women Veterans with insomnia (mean age = 49 years, 44% non-Hispanic white), 55% had probable post traumatic stress disorder (PTSD) (total score ≥33). Probable PTSD was related to more severe self-reported sleep disruption and greater psychological distress. In a regression model, higher PTSD Checklist-Civilian (PCL-C) total score was a significant independent predictor of worse insomnia severity index score while other factors were not. Women Veterans preferred behavioral treatments over pharmacotherapy in general, and efforts to increase the availability of such treatments should be undertaken. Further research is needed to better understand the complex relationship between insomnia and PTSD among women Veterans.

Patterns of sleep quality during and after postacute rehabilitation in older adults: a latent class analysis approach

Sleep quality is related to emotional, physical, psychological and cognitive functioning and functional independence in later life. After acute health events, older adults are likely to utilize postacute rehabilitation services to improve functioning and facilitate return to independent living. Patterns of how sleep changes with postacute rehabilitation, and predictors of such patterns, are unknown. The current investigation employed latent class analysis (LCA) methods to classify older adults (n = 233) into groups based on patterns of self-reported sleep quality pre-illness, during postacute rehabilitation and up to 1 year following postacute rehabilitation. Using LCA, older adults were grouped into (1) consistently good sleepers (46%), (2) good sleepers who transitioned into poor sleepers (34%), (3) consistently poor sleepers (14%) and (4) poor sleepers who transitioned into good sleepers (6%). In three planned analyses, pain was an independent predictor of membership in classes 1 or 2 (good pre-illness sleep quality) versus classes 3 or 4 (poor pre-illness sleep quality), and of membership in class 1 (consistently good sleep) versus class 2 (good sleep that transitioned to poor sleep). A lower Mini-Mental State Examination score was a predictor of membership in class 1 versus class 2. There were no statistically significant predictors of membership in class 3 versus class 4. Demographics, comorbidities and depressive symptoms were not significant predictors of class membership. These findings have implications for identification of older adults at risk for developing poor sleep associated with changes in health and postacute rehabilitation. The findings also suggest that pain symptoms should be targeted to improve sleep during postacute rehabilitation.

Geriatric psychiatry review: differential diagnosis and treatment of the 3 D's - delirium, dementia, and depression

The three D's of Geriatric Psychiatry-delirium, dementia, and depression-represent some of the most common and challenging diagnoses for older adults. Delirium is often difficult to diagnose and treatment is sometimes controversial with the use of antipsychotic medications, but it is common in a variety of patient care settings and remains an independent risk factor for morbidity and mortality in older adults. Dementia may affect a significant number of older adults and is associated with delirium, depression, frailty, and failure to thrive. Treatment of dementia is challenging and while medication interventions are common, environmental and problem solving therapies may have some of the greatest benefits. Finally, depression increases with age and is more likely to present with somatic complaints or insomnia and is more likely to be reported to a primary care physician than any other healthcare provider by older adults. Depression carries an increased risk for suicide in older adults and proven therapies should be initiated immediately. These three syndromes have great overlap, can exist simultaneously in the same patient, and often confer increased risk for each other. The primary care provider will undoubtedly benefit from a solid foundation in the identification, classification, and treatment of these common problems of older adulthood.

Positive affect is associated with fewer sleep problems in older caregivers but not noncaregivers

PURPOSE OF THE STUDY

Older adults who are depressed or are caregivers experience more sleep problems, whereas recent studies suggest that adults with high positive affect (PA) have fewer sleep problems. This study examined whether the associations of PA and depressive symptoms with sleep problems differed between caregivers and noncaregivers.

DESIGN AND METHODS

Face-to-face interviews were conducted with 92 caregivers to a relative or friend with Alzheimer's disease or Parkinson's disease, and 137 noncaregivers aged 60 years and older (mean 73.8±7.9 years) from the Boston, Massachusetts, metropolitan area. Sleep problems were assessed using the Pittsburgh Sleep Quality Index (PSQI). Respondents were categorized as high PA (n = 122), low PA (n = 69), and depressive symptoms (n = 38) based on the Center for Epidemiologic Studies-Depression scale.

RESULTS

The mean PSQI score was 5.19 (SD = 3.26) and did not differ by caregiving status. In multivariable linear regression analyses among caregivers, those with high PA had significantly fewer sleep problems than their counterparts with low PA (adjusted mean PSQI score was 4.16 [SE = 0.50] vs. 5.69 [SE = 0.58], p = .05), whereas caregivers with depressive symptoms reported slightly more problems (adjusted mean 6.92 [SE = 0.80], p = .22). High PA and depressive symptoms were not associated with sleep problems among noncaregivers (adjusted mean PSQI scores were 4.88 [SE = 0.35], 5.38 [SE = 0.51], and 5.99 [SE = 0.73], respectively). Similar associations were found with PSQI scale components.

IMPLICATIONS

Results suggest that routine screening and interventions to increase PA may reduce sleep problems among older caregivers.

Perceived control and sleep in hospitalized older adults: a sound hypothesis?

BACKGROUND/OBJECTIVES

To examine the associations between perceived control over sleep, noise levels, sleep duration, and noise complaints in a cohort of hospitalized adults.

DESIGN

Prospective cohort study.

SETTING

General medicine ward in an academic medical center.

PARTICIPANTS

One hundred eighteen hospitalized patients age 50 years and over (mean age, 65 years; 57% female; 67% African American).

MEASUREMENTS

Sleep duration was measured via wrist actigraphy, and noise levels in patient rooms were measured via sound monitors. Validated questionnaires were used to assess sleep characteristics at baseline and sleep quality for each night. Perceived control over sleep was measured at baseline using the Sleep Self-Efficacy (SSE) scale (range 9-45).

RESULTS

The mean SSE score was 32.1 (standard deviation, 9.4), and the median score was 34 (interquartile range, 24-41). Average sleep duration for patients in the hospital was 333 minutes (5.5 hours). Forty-two percent of patients complained of noise disrupting their sleep. Linear regression clustered by subject showed that above median SSE was associated with longer sleep duration (+55 minutes 95% confidence interval [CI]: 14, 97; P = 0.010). This association remained significant after controlling for objective noise levels and patient demographics (+50 minutes 95% CI: 11, 90; P = 0.014). In logistic regression controlling for noise level and patient demographics, those patients with high SSE were 51% less likely to complain of noise disruptions (odds ratio: 0.49; 95% CI: 0.25, 0.96; P = 0.039).

CONCLUSION

Higher perceived control over sleep is associated with longer sleep duration, better sleep quality, and fewer reports of noise disruptions. In addition to noise control, interventions to boost perceived control may improve in-hospital sleep.

Predictors of survival within 2 years of inpatient rehabilitation among older adults

BACKGROUND

Restoring functional independence in elderly people with disabilities is one of the main purposes of a geriatric rehabilitation unit. However, the rehabilitation period may also represent a useful circumstance to identify predictors of long-term health outcomes. The aim of this study was to evaluate a broad spectrum of characteristics in geriatric patients admitted to a rehabilitation unit in order to identify possible predictors of long-term survival.

METHODS

This cross-sectional and prospective study was carried out in an Evaluation and Rehabilitation unit in Northern Italy. 243 persons aged 65 or older were enrolled over a period of 12 months (2007-8) and followed for 2 years. Possible predictors of survival were identified among a large spectrum of demographic, clinical (Charlson Index, lab data), nutritional (Mini-Nutritional Short-Form, bio-impedance analysis), and respiratory (spirometry) features. Logistic regression models were used to evaluate the association between patients' characteristics and survival.

RESULTS

189 (86.3%) participants were alive after 2 years of follow-up. Younger age, better functional status at discharge, a lower Charlson Index score, higher hemoglobin and albumin values at discharge, lower basal fasting glucose, creatinine, TNF-α levels, and extra-cellular water, as well as higher cholesterol, vital capacity (VC), and inspiratory capacity were significantly associated with survival. In the multivariate model, higher VC (OR=6.2; 95%CI=1.6-24.6) and albumin (OR=3.7; 95%CI=1.2-11.8) were associated with survival, whereas the Charlson Index and male gender showed an inverse correlation (OR=0.77; 95%CI=0.60-0.99 and OR=0.23; 95%CI=0.10-0.95, respectively).

CONCLUSION

VC was identified as one of the best predictors of survival along with higher albumin and lower Charlson Index score within 2 years of inpatient rehabilitation among older adults.

A longitudinal study of poor sleep after inpatient post-acute rehabilitation: the role of depression and pre-illness sleep quality

OBJECTIVES

To explore the unique impact of poor sleep and symptoms of depression on sleep quality for up to 1 year after inpatient post-acute rehabilitation among older adults.

DESIGN

Prospective longitudinal cohort study.

SETTING

Two inpatient post-acute rehabilitation facilities.

PARTICIPANTS

A total of 245 individuals older than 65 years (mean age = 80 years, 38% women).

INTERVENTIONS

None.

MEASUREMENTS

Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) during the post-acute care stay twice to evaluate pre-illness sleep quality and sleep quality during the post-acute care stay, and again at 3-, 6-, 9-, and 12-month follow-up. Demographics, symptoms of depression, cognitive functioning, and comorbidities were also assessed.

RESULTS

Across time points, sleep was significantly disturbed for many individuals. Nested regression models predicting PSQI total score at 3, 6, 9, and 12 months showed that variables entered in Block 1 (age, gender, cognitive functioning, and comorbidities) were significant predictors of poor sleep at 6-month follow-up but not at 3-, 9-, or 12-month follow-up. Depression (Block 2) and pre-illness PSQI total score (Block 3) were significant predictors of PSQI total score at all follow-up time points. PSQI total score during post-acute care (Block 4) explained a significant proportion of variance only at the 3-month follow-up.

CONCLUSIONS

This study confirms that chronic poor sleep is common among older adults during post-acute rehabilitation and resolution of sleep disturbance after acute health events may be a lengthy process. Our findings expand understanding of the role of depressive symptoms and preexisting sleep complaints in predicting poor sleep over time among these vulnerable older adults.