INNV-15. COMPARISON OF READIBAND™ ACTIGRAPH AND ASSOCIATED SLEEP/WAKE CLASSIFICATION ALGORITHMS WITH PATIENT-REPORTED SLEEP QUALITY AND FATIGUE IN GLIOBLASTOMA

Abstract INTRODUCTION Fatigue and sleep disturbances are among the most common side-effects reported by patients with glioblastoma and contribute significantly to the quality-of-life for this population. Non-invasive monitoring of long-term sleep patterns and fatigue levels in this population would allow for comparison between iatrogenic sleep disturbances, disease progression, treatment tolerance, and self-reported levels of fatigue. Here, we describe initial results from the implementation of the Readiband™ Sleep Tracker (Fatigue Science), a wearable actigraph device, for monitoring sleep patterns and fatigue in patients with newly diagnosed glioblastoma. PATIENTS AND METHODS Patients were prospectively enrolled and asked to wear the Readiband™ Sleep Tracker for a maximum of twelve months or until disease progression. Patients were also asked to report fatigue levels and sleep quality via the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and Pittsburg Sleep Quality Index (PSQI) questionnaires. Demographic, pathologic, and clinical information was abstracted from electronic medical records. RESULTS When data across all participants was combined, FACIT-F and PSQI scores were negatively correlated (r= -0.78, p< 0.001). Significant correlations were also seen between the Readiband™ measures for alertness, sleep quality, and sleep efficiency (p< 0.05 for all). However, we did not observe any correlations between the Redaiband™ measures and subjective survey responses. Interestingly, when patients were sub-divided based on tumor recurrence, we did see significant correlations between both survey scores and sleep quality and sleep efficiency measures (p< 0.05 for all) in patients that recurred during the study period. CONCLUSION The Readiband™ Sleep Tracker is a convenient and viable approach for monitoring sleep and fatigue in glioblastoma patients. Our preliminary findings suggest that actigraph measures may be a better indicator of subjective sleep quality and fatigue levels in specific sub-sets of this population. Ongoing research is exploring other clinical factors that might impact the accuracy of Readiband™ measures.

Download Full-text

INNV-08. VALIDATION OF READIBAND™ ACTIGRAPH AND ASSOCIATED SLEEP/WAKE CLASSIFICATION ALGORITHMS IN PREDICTING CANCER-RELATED FATIGUE IN HIGH GRADE GLIOBLASTOMA

Neuro-Oncology ◽

10.1093/neuonc/noz175.551 ◽

2019 ◽

Vol 21 (Supplement_6) ◽

pp. vi132-vi132

Author(s):

Megan Tipps ◽

Meghan Hultman ◽

Nilanjana Banerji ◽

Kelsey Jackson ◽

Minda Liu ◽

...

Keyword(s):

Sleep Quality ◽

Disease Progression ◽

Sleep Disturbances ◽

Clinical Information ◽

Common Side Effect ◽

Sleep Patterns ◽

Primary Glioblastoma ◽

Sleep Quantity ◽

Treatment Tolerance

Abstract INTRODUCTION Standard care for glioblastoma consists of maximal surgical resection followed by radiotherapy with concurrent and adjuvant temozolomide. Fatigue and sleep disturbances are among the most common side-effect reported by these patients. Monitoring long-term sleep patterns and fatigue levels in this population would allow for comparison between iatrogenic sleep disturbances, disease progression, treatment tolerance, and self-reported levels of fatigue. Wearable actigraph devices provide a potential alternative approach to polysomnography for long-term sleep monitoring. Here, we describe initial results from the implementation of the Readiband™ Sleep Tracker (Fatigue Science) for monitoring sleep patterns and fatigue in newly diagnosed glioblastoma patients. PATIENTS AND METHODS Patients with primary glioblastoma were prospectively enrolled and asked to wear the Readiband™ Sleep Tracker for a maximum of twelve months or until disease progression. Data regarding alertness levels and sleep patterns were collected from Fatigue Science. Patients were also asked to report fatigue levels and sleep quality via the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and Pittsburg Sleep Quality Index (PSQI) questionnaires, respectively. Demographic, pathologic, and clinical information was abstracted from electronic medical records. RESULTS The Readiband™ data includes sleep/wake assessments, as well as sleep quality, sleep efficiency, and alertness scores. The overall sleep patterns reported by Readiband™ align with self-reported sleep times and sleep quantity. In addition, the SAFTE™ alertness scores show a positive correlation with FACIT-F (r=0.80) scores, and the sleep quality scores generated by Readiband™ show a negative correlation with PSQI (r=-0.83) scores. CONCLUSION The Readiband™ Sleep Tracker is a convenient and viable approach for monitoring sleep and fatigue in glioblastoma patients. Our preliminary findings suggest that actigraph measures can be used to monitor sleep quality and predict fatigue in this population. The study is ongoing to understand implications of sleep patterns on disease progression and treatment tolerance in primary glioblastoma.

Download Full-text

Effects of melatonin on sleep disturbances in multiple sclerosis: A randomized, controlled pilot study

Multiple Sclerosis Journal - Experimental Translational and Clinical ◽

10.1177/20552173211048756 ◽

2021 ◽

Vol 7 (4) ◽

pp. 205521732110487

Author(s):

Wan-Yu Hsu ◽

Annika Anderson ◽

William Rowles ◽

Katherine E. Peters ◽

Vicki Li ◽

...

Keyword(s):

Multiple Sclerosis ◽

Sleep Quality ◽

Sleep Disturbances ◽

Total Sleep Time ◽

Low Cost ◽

Sleep Time ◽

Sleep Efficiency ◽

Double Blind ◽

Randomized Controlled ◽

Patient Reported

Background Sleep disturbances are commonly reported by people with multiple sclerosis (PwMS). However, optimal management of sleep disturbances is uncertain, and objective studies of sleep quality in PwMS are scarce. Objectives To determine the effect of exogenous melatonin on sleep quality and sleep disturbances in PwMS. Methods Thirty adult PwMS reporting sleep difficulties were recruited in a randomized, controlled, double-blind cross-over study. They took either melatonin or placebo for 2 weeks, and the opposite for the following 2 weeks. During weeks 2 and 4, an actigraph was used to capture mean total sleep time and sleep efficiency. Patient-reported outcomes (PROs) were collected at weeks 0, 2 and 4. Results Melatonin use significantly improved mean total sleep time ( p = 0.03), with a trend towards higher sleep efficiency ( p = 0.06). No PROs were significantly different; there was a trend for melatonin use to decrease mean Insomnia Severity Index score ( p = 0.07), improve Pittsburgh Sleep Quality Index sleep quality component ( p = 0.07), and improve NeuroQoL-Fatigue ( p = 0.06). No other PROs showed differences between melatonin and placebo; nor did step count measured by actigraphy (all p > 0.45). Conclusion These results provide preliminary evidence that melatonin, a low-cost, over-the-counter supplement, could improve objective measures of sleep quality in PwMS.

Download Full-text

FAAH and CNR1 Polymorphisms in the Endocannabinoid System and Alcohol-Related Sleep Quality

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.712178 ◽

2021 ◽

Vol 12 ◽

Author(s):

Soundarya Soundararajan ◽

Narjis Kazmi ◽

Alyssa T. Brooks ◽

Michael Krumlauf ◽

Melanie L. Schwandt ◽

...

Keyword(s):

Alcohol Consumption ◽

Sleep Quality ◽

Sleep Disturbance ◽

Sleep Disturbances ◽

Acid Amide ◽

Sleep Onset ◽

Endocannabinoid System ◽

Sleep Efficiency ◽

Subjective Sleep Quality

Sleep disturbances are common among individuals with alcohol use disorder (AUD) and may not resolve completely with short-term abstinence from alcohol, potentially contributing to relapse to drinking. The endocannabinoid system (ECS) is associated with both sleep and alcohol consumption, and genetic variation in the ECS may underlie sleep-related phenotypes among individuals with AUD. In this study, we explored the influence of genetic variants in the ECS (Cannabinoid receptor 1/CNR1: rs806368, rs1049353, rs6454674, rs2180619, and Fatty Acid Amide Hydrolase/FAAH rs324420) on sleep quality in individuals with AUD (N = 497) and controls without AUD (N = 389). We assessed subjective sleep quality (from the Pittsburgh Sleep Quality Index/PSQI) for both groups at baseline and objective sleep efficiency and duration (using actigraphy) in a subset of individuals with AUD at baseline and after 4 weeks of inpatient treatment. We observed a dose-dependent relationship between alcohol consumption and sleep quality in both AUD and control groups. Sleep disturbance, a subscale measure in PSQI, differed significantly among CNR1 rs6454674 genotypes in both AUD (p = 0.015) and controls (p = 0.016). Only among controls, neuroticism personality scores mediated the relationship between genotype and sleep disturbance. Objective sleep measures (sleep efficiency, wake bouts and wake after sleep onset), differed significantly by CNR1 rs806368 genotype, both at baseline (p = 0.023, 0.029, 0.015, respectively) and at follow-up (p = 0.004, p = 0.006, p = 0.007, respectively), and by FAAH genotype for actigraphy recorded sleep duration at follow-up (p = 0.018). These relationships suggest a significant role of the ECS in alcohol-related sleep phenotypes.

Download Full-text

Physical Activity and Inhibitory Control: The Mediating Role of Sleep Quality and Sleep Efficiency

Brain Sciences ◽

10.3390/brainsci11050664 ◽

2021 ◽

Vol 11 (5) ◽

pp. 664

Author(s):

Lin Li ◽

Qian Yu ◽

Wenrui Zhao ◽

Fabian Herold ◽

Boris Cheval ◽

...

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Inhibitory Control ◽

Sleep Efficiency ◽

Equation Modeling ◽

Control Performance ◽

Subjective Sleep Quality ◽

Subjective Sleep ◽

Sleep Parameters ◽

The Relationship

Objectives: the current study aimed to investigate the relationship between physical activity (PA) level and inhibitory control performance and then to determine whether this association was mediated by multiple sleep parameters (i.e., subjective sleep quality, sleep duration, sleep efficiency, and sleep disturbance). Methods: 180 healthy university students (age: 20.15 ± 1.92 years) from the East China Normal University were recruited for the present study. PA level, sleep parameters, and inhibitory control performance were assessed using the International Physical Activity Questionnaire (IPAQ), the Pittsburgh Sleep Quality Index Scale (PSQI), and a Stroop test, respectively. The data were analyzed using structural equation modeling. Results: A higher level of PA was linked to better cognitive performance. Furthermore, higher subjective sleep quality and sleep efficiency were associated with better inhibitory control performance. The mediation analysis revealed that subjective sleep quality and sleep efficiency mediated the relationship between PA level and inhibitory control performance. Conclusion: our results are in accordance with the literature and buttress the idea that a healthy lifestyle that involves a relatively high level of regular PA and adequate sleep patterns is beneficial for cognition (e.g., inhibitory control performance). Furthermore, our study adds to the literature that sleep quality and sleep efficiency mediates the relationship between PA and inhibitory control performance, expanding our knowledge in the field of exercise cognition.

Download Full-text

Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis

Sleep And Breathing ◽

10.1007/s11325-021-02405-0 ◽

2021 ◽

Author(s):

Rulan Yin ◽

Lin Li ◽

Lan Xu ◽

Wenjie Sui ◽

Mei’e Niu ◽

...

Keyword(s):

Systemic Lupus Erythematosus ◽

Sleep Quality ◽

Lupus Erythematosus ◽

Sleep Disturbances ◽

Cochrane Library ◽

Poor Sleep ◽

Moderate Correlation ◽

Systemic Lupus ◽

Poor Sleep Quality ◽

Subjective Sleep Quality

Abstract Background Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients. Methods Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model. Results A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference = − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions. Conclusion Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.

Download Full-text

601 Comparison of Sleep Parameters in Children with Achondroplasia and Trisomy 21

SLEEP ◽

10.1093/sleep/zsab072.599 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A236-A237

Author(s):

Jodi Gustave ◽

Kaelyn Gaza ◽

Jennifer Marriner ◽

Seema Rani ◽

Abigail Strang ◽

...

Keyword(s):

Sleep Quality ◽

Rem Sleep ◽

Trisomy 21 ◽

Sleep Disturbances ◽

Sleep Latency ◽

Sleep Efficiency ◽

Sleep Architecture ◽

Poor Sleep ◽

Arousal Index ◽

Sleep Parameters

Abstract Introduction Children with achondroplasia and Trisomy 21 (T21) have increased incidence of sleep disturbances including sleep disordered breathing. Abnormal sleep architecture has been documented in children with T21. It is important to continue to analyze sleep parameters in both groups since poor sleep quality is associated with neurocognitive impairment. Methods Following IRB approval, we performed a retrospective chart review of patients at Nemours/A.I. duPont Hospital for Children in Wilmington, DE with achondroplasia and T21 who underwent an initial polysomnogram (PSG) between 2015 and 2020. We compared sleep architecture parameters between the groups including sleep efficiency, total sleep time (TST), sleep latency, arousal index and concentration of N3 and REM sleep. Results In patients with achondroplasia (n=49, mean age 5.8 months and 63.3% male), 12% reported restless sleep. PSG data revealed TST of 392 minutes, mean sleep efficiency of 82%, mean sleep latency of 9.4 min, mean arousal index of 40, 22% REM sleep and 32% N3 sleep. In the patients with T21 (n=32, mean age 17.8 months and 50% male), 59% reported restless sleep. PSG data revealed TST of 393 minutes, mean sleep efficiency of 82%, mean sleep latency of 14 minutes, arousal index of 35, 15% REM sleep and 40% N3 sleep. The differences in REM and N3 sleep between the two groups were statistically significant (p-values of 0.001 and 0.04, respectively), but the differences in arousal index, TST and sleep efficiency were not. Conclusion Our study showed that children with T21 subjectively noted more restless sleep compared to patients with achondroplasia although TST and sleep efficiency were similar. Patients with achondroplasia had a higher arousal index that was not statistically significant. Children with achondroplasia had a shorter sleep latency and more robust REM concentration, likely due to their younger age. There was a higher concentration of N3 sleep in patients with T21. This is likely due to the decrease in REM concentration. In conclusion, it is important to establish expected sleep parameters in patients with achondroplasia and T21 to maximize sleep quality and mitigate negative neurocognitive effects of poor sleep. Support (if any):

Download Full-text

Prevalence and Determinants of Bad Sleep Perception among Italian Children and Adolescents

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17249363 ◽

2020 ◽

Vol 17 (24) ◽

pp. 9363

Author(s):

Serena Malloggi ◽

Francesca Conte ◽

Giorgio Gronchi ◽

Gianluca Ficca ◽

Fiorenza Giganti

Keyword(s):

Sleep Quality ◽

Depressed Mood ◽

Behavioral Problems ◽

Sleep Disturbances ◽

Sleep Problems ◽

Sleep Latency ◽

Sleep Habits ◽

Subjective Sleep Quality ◽

Quality Perception ◽

Subjective Sleep

Although sleep problems at young ages are well investigated, the prevalence of bad sleepers and the determinants of sleep quality perception remain unexplored in these populations. For this purpose, we addressed these issues in a sample of children (n = 307), preadolescents (n = 717), and adolescents (n = 406) who completed the School Sleep Habits Survey, addressing sleep quality perception, sleep habits, sleep features, daytime behavior and sleep disturbances, circadian preference, and dreaming. The sample was split in “good sleepers” and “bad sleepers”, based on the answer to the question item assessing overall subjective sleep quality. Being a bad sleeper was reported by 11.7% of the sample, with significant between-groups differences (children: 8.3%; preadolescents: 11.3%; adolescents: 15.3%; p = 0.01). At all ages, relative to good sleepers, bad sleepers showed higher eveningness, sleepiness, and depression, longer sleep latency, more frequent insufficient sleep, nocturnal awakenings, sleep–wake behavioral problems, and unpleasant dreams (all p’s ≤ 0.01). Sleep quality perception was predicted: in children, by depressed mood, eveningness, and unpleasant dreams (all p’s ≤ 0.01); in preadolescents, by sleep latency, awakening frequency, depressed mood, sufficiency of sleep, and unpleasant dreams (all p’s < 0.01); in adolescents, by awakening frequency, depressed mood, and sufficiency of sleep (all p’s < 0.001). In children, bad subjective sleep quality appears to be mainly determined by daytime psychological features, for example, depressed mood, whereas at later ages, sleep characteristics, such as frequent awakenings, add to the former determinants. This could depend on (a) the appearance, with increasing age, of objective sleep modifications and (b) a greater attention paid by adolescents to their sleep characteristics.

Download Full-text

Randomized Double-Blind Controlled Trial on the Effect of Proteins with Different Tryptophan/Large Neutral Amino Acid Ratios on Sleep in Adolescents: The PROTMORPHEUS Study

Nutrients ◽

10.3390/nu12061885 ◽

2020 ◽

Vol 12 (6) ◽

pp. 1885 ◽

Cited By ~ 1

Author(s):

Oussama Saidi ◽

Emmanuelle Rochette ◽

Éric Doré ◽

Freddy Maso ◽

Julien Raoux ◽

...

Keyword(s):

Sleep Quality ◽

Dietary Intake ◽

Sleep Disturbances ◽

Controlled Trial ◽

Internal Clock ◽

Sleep Efficiency ◽

Large Neutral Amino Acid ◽

Double Blind ◽

Circadian Phase ◽

Two Samples

Disturbed sleep is common in adolescents. Ingested nutrients help regulate the internal clock and influence sleep quality. The purpose of this clinical trial is to assess the effect of protein tryptophan (Trp)/large neutral amino acids (LNAAs) ratio on sleep and circadian rhythm. Ingested Trp is involved in the regulation of the sleep/wake cycle and improvement of sleep quality. Since Trp transport through the blood–brain barrier is competing with LNAAs, protein with higher Trp/LNAAs were expected to increase sleep efficiency. This randomized double-blind controlled trial will enroll two samples of male adolescents predisposed to sleep disturbances: elite rugby players (n = 24) and youths with obesity (n = 24). They will take part randomly in three sessions each held over a week. They will undergo a washout period, when dietary intake will be calibrated (three days), followed by an intervention period (three days), when their diet will be supplemented with three proteins with different Trp/LNAAs ratios. Physical, cognitive, dietary intake, appetite, and sleepiness evaluations will be made on the last day of each session. The primary outcome is sleep efficiency measured through in-home electroencephalogram recordings. Secondary outcomes include sleep staging, circadian phase, and sleep-, food intake-, metabolism-, and inflammation-related biochemical markers. A fuller understanding of the effect of protein Trp/LNAAs ratio on sleep could help in developing nutritional strategies addressing sleep disturbances.

Download Full-text

Are you Sleeping? Pilot Comparison of Self-Reported and Objective Measures of Sleep Quality and Duration in an Inpatient Alcoholism Treatment Program

Substance Abuse Research and Treatment ◽

10.4137/sart.s10385 ◽

2012 ◽

Vol 6 ◽

pp. SART.S10385 ◽

Cited By ~ 1

Author(s):

Alyssa T. Brooks ◽

Michael C. Krumlauf ◽

Barbara P. Whiting ◽

Rosa J. Clark ◽

Gwenyth R. Wallen

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Sleep Disturbances ◽

Sleep Efficiency ◽

Objective Measures ◽

Cutoff Score ◽

Increase Risk ◽

Inpatient Population ◽

Ongoing Assessment ◽

Alcohol Dependent

Sleep disturbances are common among alcohol-dependent individuals and can increase risk of relapse. The current study compares subjective and objective measures of sleep quality and duration and describes the prevalence of baseline sleep disturbances in an inpatient population of alcoholics undergoing their first week of detoxification. At baseline, the PSQI revealed that 79% of participants were above the cutoff score (≥5) for clinically meaningful sleep disturbances (mean = 12.57, SD = 4.38). Actigraphy results revealed that average sleep efficiency was 75.89%. Sleep efficiency scores were significantly correlated with self-reported sleep efficiency ( P = 0.04, r = 0.47). Sleep duration measured by the actigraphy watches was not significantly correlated with self-reported sleep duration ( P = 0.65, r = 0.10). Ongoing assessment of sleep disturbances may be a valuable tool for informing the development of customized sleep interventions in a similar inpatient alcohol treatment sample.

Download Full-text

Sleep quality in medical students: a comparison across the various phases of the medical course

Jornal Brasileiro de Pneumologia ◽

10.1590/s1806-37562016000000178 ◽

2017 ◽

Vol 43 (4) ◽

pp. 285-289 ◽

Cited By ~ 14

Author(s):

Camila de Castro Corrêa ◽

Felipe Kazan de Oliveira ◽

Diego Scherlon Pizzamiglio ◽

Erika Veruska Paiva Ortolan ◽

Silke Anna Theresa Weber

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Sleep Disturbances ◽

Total Sample ◽

Cross Sectional Study ◽

Subjective Sleep Quality ◽

Cross Sectional ◽

Subjective Sleep ◽

Group A ◽

Group B

ABSTRACT Objective: To evaluate and compare subjective sleep quality in medical students across the various phases of the medical course. Methods: This was a cross-sectional study involving medical undergraduates at one medical school in the city of Botucatu, Brazil. All first- to sixth-year students were invited to complete the Pittsburgh Sleep Quality Index, which has been validated for use in Brazil. Participants were divided into three groups according to the phase of the medical course: group A (first- and second-years); group B (third- and fourth-years); and group C (fifth- and sixth-years). The results obtained for the instrument components were analyzed for the total sample and for the groups. Results: Of the 540 students invited to participate, 372 completed the instrument fully. Of those, 147 (39.5%) reported their sleep quality to be either very or fairly bad; 110 (29.5%) reported taking more than 30 min to fall asleep; 253 (68.0%) reported sleeping 6-7 h per night; 327 (87.9%) reported adequate sleep efficiency; 315 (84.6%) reported no sleep disturbances; 32 (8.6%) reported using sleeping medication; and 137 (36.9%) reported difficulty staying awake during the day at least once a week. Group comparison revealed that students in group A had worse subjective sleep quality and greater daytime dysfunction than did those in groups B and C. Conclusions: Medical students seem to be more exposed to sleep disturbance than other university students, and first- and second-years are more affected than those in other class years because they have worse subjective sleep quality. Active interventions should be implemented to improve sleep hygiene in medical students.

Download Full-text