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

Author:

Winters Benjamin1,Serpas Dylan23ORCID,Fullmer Niko3,Hughes Katie4,Kincaid Jennifer5,Rosario Emily R.3ORCID,Schnakers Caroline3ORCID

Affiliation:

1. Department of Psychology, University of California, Los Angeles, CA 90095, USA

2. Department of Psychology, University of South Florida, Tampa, FL 33620, USA

3. Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA

4. Department of Nursing, Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA

5. Respiratory Care Services, Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA

Abstract

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, η2p = 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.

Funder

Dr. Loverso, the Casa Colina Board of Directors

Casa Colina Foundation

Publisher

MDPI AG

Subject

General Neuroscience

Reference42 articles.

1. The Extraordinary Importance of Sleep: The Detrimental Effects of Inadequate Sleep on Health and Public Safety Drive an Explosion of Sleep Research;Worley;PT,2018

2. Sleep Duration and Hypertension: Analysis of >700,000 Adults by Age and Sex;Grandner;J. Clin. Sleep Med.,2018

3. Sleep influences on obesity, insulin resistance, and risk of type 2 diabetes;Reutrakul;Metabolism,2018

4. Transcriptional Signatures of Sleep Duration Discordance in Monozygotic Twins;Watson;Sleep,2017

5. OSA and Cardiac Arrhythmogenesis: Mechanistic Insights;May;Chest,2017

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