Cancer-related insomnia: Evaluation by mobile technology.

2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 107-107
Author(s):  
Brenda O'Connor ◽  
Pauline Ui Dhuibhir ◽  
Declan Walsh
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Median Duration ◽  
Metastatic Cancer ◽  
Eastern Cooperative Oncology Group ◽  
Sleep Onset ◽  
Severity Index ◽  
Sleep Efficiency ◽  
Subjective Sleep Quality ◽  
Time In Bed

107 Background: Insomnia is difficulty with sleep onset, maintenance, early morning wakening or non-restorative sleep. Cancer prevalence is 30-75%. Daytime consequences include fatigue. It is under-reported and impairs quality of life. Measurement previously required sleep laboratories. Technology advances help real-time measurement in the natural environment. This study investigated the feasibility and acceptability of a wireless device to evaluate sleep in cancer. Methods: Prospective observational study: Stage A: 10 consecutive in-patient hospice admissions; Stage B: 20 consecutive community patients Sleep quality was rated by Insomnia Severity Index (ISI). Participants used a wireless non-contact bedside monitor (SleepMinder) for 3 nights. Acceptability questionnaires were completed by participant and nurse (Stage A) or family (Stage B).Descriptive statistics were generated by Microsoft Excel. Results: 30 participants with metastatic cancer were recruited. Median age: 63 years (47-84). Median Eastern Cooperative Oncology Group (ECOG) performance score: 2 (0-3). In-patient (n=10): In 50%, sleep onset was delayed >30 minutes. Median duration: 8 hours. Median awakenings per night: 1 (0-8). Median sleep efficiency (proportion of time in bed spent asleep): 89% (74-100%). ISI score correlated with sleep duration in 70%. Participants and nurses reported 100% device acceptability. Community (n=20): Sleep onset was delayed >30 minutes in 25%. Median duration: 8 hours. Median awakenings per night: 3 (0-10). Median sleep efficiency: 91% (46-100). ISI score correlated with sleep duration in 90%. Participants and family reported 100% device acceptability. Conclusions: (1)A wireless monitor effectively measures sleep in cancer in both inpatient and community settings, (2) High acceptability supports clinical use, (3) Subjective sleep quality reports correlate with device, and (4) Further research: evaluate sleep improvement interventions with device.

scholarly journals P084 Is Cognitive Behaviour Therapy for insomnia (CBTi) responsiveness a function of objective sleep efficiency rather than objective sleep duration?

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A48-A48
Author(s):  
N Lovato ◽  
G Micic ◽  
L Lack
Keyword(s):  
Sleep Duration ◽  
Cognitive Behaviour Therapy ◽  
Sleep Onset ◽  
Past Research ◽  
Severity Index ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Pre Treatment

Abstract Introduction Past research and our own has not shown a differential response to Cognitive Behaviour Therapy for insomnia (CBTi) based on objective sleep duration. It is valuable to investigate CBTi responsiveness is a function of objective sleep efficiency (SE) instead of objective sleep duration. This study is a secondary exploratory analysis of our earlier clinical trial to assess the differential therapeutic response to CBTi for older insomniacs based on SE prior to treatment. Method Seventy-nine adults (male=34, mean age=63.38, SD=6.25) with sleep maintenance insomnia were selected. Participants were grouped into 3 ordinal groups; the top 50% of participants (above the median percent sleep time-normal SE), the 25% of participants in the third quartile (moderately low SE), and the bottom 25% of participants (severely low SE) based on 1-night of home-based polysomnography. Participants were randomly allocated to CBTi or wait-list control. One-week sleep diaries, actigraphy and a battery of questionnaires evaluated the efficacy of CBTi for each SE group. Outcome measures were taken at pre-treatment, post-treatment, and 3-month follow-up. Results CBTi produced robust improvements in sleep quality including reduced wake after sleep onset, and improved sleep efficiency. Participants reported a reduction of scores on the Insomnia Severity Index, Flinders Fatigue Scale, Epworth Sleepiness Scale, Daytime Feeling and Functioning Scale, Sleep Anticipatory Anxiety Questionnaire, Dysfunctional Beliefs and Attitudes Scale, and increased Sleep Self-Efficacy Scale. All improvements were significant relative to waitlist and comparable regardless of objective SE at pre-treatment. Discussion CBTi responsiveness did not differ as a function of objective SE.

scholarly journals P008 A systematic review and meta-analysis of inflammatory bowel disease activity and sleep quality

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A24-A24
Author(s):  
A Barnes ◽  
P Spizzo ◽  
R Mountifield ◽  
P Bampton ◽  
J Andrews ◽  
...  
Keyword(s):  
Inflammatory Bowel Disease ◽  
Sleep Quality ◽  
Bowel Disease ◽  
Sleep Onset ◽  
Sleep Efficiency ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Inflammatory Bowel ◽  
Meta Analyses

Abstract Background Poor sleep quality has been associated with active inflammatory bowel disease (IBD) in several studies. This review examines sleep quality in people with active IBD and in those in remission, with meta-analyses performed, considering subjective and objective sleep quality and IBD activity. Methods Electronic databases were searched from inception to December 1st 2020. A random effects model was used with separate meta-analyses performed for objective and subjective sleep and IBD activity, considering sleep quality in active and inactive IBD. Results 19 studies were included in the qualitative review representing 4972 IBD patients. Subjective IBD activity (11 studies) was associated with subjective sleep quality with pooled odds ratio (OR) for subjective poor sleep in active IBD compared to remission of 3.04 (95% CI 2.41–3.83). Including only studies with objective sleep measures (5 studies), sleep efficiency was lower in those self-reporting active IBD and time awake post sleep onset was higher in those with active IBD. Objective IBD activity was associated with subjective poor sleep (4 studies), with pooled OR of 6.64 95% CI (3.02 – 14.59). Insufficient data was available to consider objective IBD activity and objective sleep quality. Conclusion IBD activity is associated with poor sleep using subjective and objective measures of sleep quality. This poor sleep manifests as decreased sleep efficiency and increased number of waking episodes post sleep onset. The relationship between objective IBD activity and sleep requires further investigation.

scholarly journals Associations between migraine attacks and nightly sleep characteristics among adults with episodic migraine: a prospective cohort study

SLEEP ◽  
2020 ◽  
Vol 43 (7) ◽  
Author(s):  
Angeliki Vgontzas ◽  
Wenyuan Li ◽  
Elizabeth Mostofsky ◽  
Michael Rueschman ◽  
Murray A Mittleman ◽  
...  
Keyword(s):  
Cohort Study ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Mixed Models ◽  
Sleep Onset ◽  
Episodic Migraine ◽  
Sleep Efficiency ◽  
Migraine Headaches ◽  
Subject Specific ◽  
Nighttime Sleep

Abstract Study Objectives Given the unknown immediate impact of migraine on nighttime sleep, we prospectively examined whether migraine headaches were associated with subsequent shorter sleep duration, higher fragmentation, and poorer quality in a cohort of 98 adults with episodic migraine. Methods Participants completed twice-daily electronic diaries and wore actigraphs continuously for 6 weeks. We examined whether days with headaches were associated with changes in that night’s sleep characteristics compared with headache-free days, using adjusted multivariable linear mixed models with subject-specific intercepts. Results Participants were 35 ± 12 years old, 88% women, with an average of five migraine headaches per month. Over 4,406 days, we observed 1,077 headache days, representing 823 discrete headaches. Average nightly objective sleep duration was 7.3 ± 1.2 hr, efficiency 89.5 ± 3.3%, and wake after sleep onset (WASO) 44.8 ± 17.0 min. Objective sleep duration was 7.3 min (95% CI: 1.5, 13.0) longer on nights following a headache day compared with nights on a headache-free day. Objective sleep efficiency, WASO, and reported sleep quality were not significantly different on headache days compared with headache-free days (sleep efficiency: −0.06 min, 95% CI: −0.3, 0.2; WASO 1.5 min, 95% CI: 0.0, 3.0; sleep quality: 1.0, 95% CI: 0.8, 1.3). Conclusions Sleep periods immediately following migraine headaches are not associated with shorter duration, higher disruption, or poorer sleep quality in patients with episodic migraine. These results suggest that clinical evaluation of sleep disturbance in patients with episodic migraine should be approached independently of their migraine status.

Sleep of Wheelchair Rugby Athletes: Training, Rest and Competition

2020 ◽  
Author(s):  
Victor Sanz-Milone ◽  
Fernanda V. Narciso ◽  
Andressa da Silva ◽  
Milton Misuta ◽  
Marco Túlio de Mello ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Onset ◽  
Sleep Efficiency ◽  
Sleep Diary ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Wheelchair Rugby ◽  
Rest Periods ◽  
Rugby Players

AbstractThe aim of this study was to evaluate the sleep-wake cycle of wheelchair rugby athletes during the pre-season compared to in-season. Wheelchair Rugby athletes wore an actigraph monitor during two respective 10-day periods: 1) pre-season and 2) in-season, each of which comprised three training days, three rest days, and four competition days, respectively. In addition, the players completed questionnaires regarding sleepiness, subjective quality of sleep, and chronotype, as well as the use of the sleep diary along with the actigraph measurements (20 days). The wheelchair rugby athletes had poor subjective sleep quality in both stages observed by sleep efficiency below 85% (ES 0.31) and high score in the Pittsburgh questionnaire (effect size-ES 0.55), the actigraphy results presented an increase of sleep latency (ES 0.47), and wake after sleep onset (ES 0.42). When comparing the athlete’s routine, the competition days, demonstrated a reduction in the total time of sleep and the sleep efficiency, in addition to an increase in wakefulness after sleep onset when compared with the training and rest periods. As a result, the wheelchair rugby players did not describe a pattern of sleep-wake cycle during different training phases, as well as poor sleep quality.

Losing Sleep Over It: Sleep in Basketball Players Affected by Game But Not Training Workloads

2020 ◽  
Vol 15 (8) ◽  
pp. 1117-1124
Author(s):  
Jordan L. Fox ◽  
Aaron T. Scanlan ◽  
Robert Stanton ◽  
Cody J. O’Grady ◽  
Charli Sargent
Keyword(s):  
Heart Rate ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Onset Time ◽  
Rating Of Perceived Exertion ◽  
Self Report ◽  
Basketball Players ◽  
Time In Bed ◽  
The Impact

Purpose: To examine the impact of workload volume during training sessions and games on subsequent sleep duration and sleep quality in basketball players. Methods: Seven semiprofessional male basketball players were monitored across preseason and in-season phases to determine training session and game workloads, sleep duration, and sleep quality. Training and game data were collected via accelerometers, heart-rate monitors, and rating of perceived exertion (RPE) and reported as PlayerLoad™ (PL), summated heart-rate zones, and session RPE (sRPE). Sleep duration and sleep quality were measured using wrist-worn activity monitors in conjunction with self-report sleep diaries. For daily training sessions and games, all workload data were independently sorted into tertiles representing low, medium, and high workload volumes. Sleep measures following low, medium, and high workloads and control nights (no training/games) were compared using linear mixed models. Results: Sleep onset time was significantly later following medium and high PL and sRPE game workloads compared with control nights (P < .05). Sleep onset time was significantly later following low, medium, and high summated heart-rate-zones game workloads, compared with control nights (P < .05). Time in bed and sleep duration were significantly shorter following high PL and sRPE game workloads compared with control nights (P < .05). Following low, medium, and high training workloads, sleep duration and quality were similar to control nights (P > .05). Conclusions: Following high PL and sRPE game workloads, basketball practitioners should consider strategies that facilitate longer time in bed, such as napping and/or adjusting travel or training schedules the following day.

223 Sleep Duration and Sleep Quality in Chronic Cannabis Users and Non-Users

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A89-A89
Author(s):  
Caroline Tse ◽  
Alicia Stewart ◽  
Omar Ordaz-Johnson ◽  
Maya Herzig ◽  
Jacqueline Gagnon ◽  
...  
Keyword(s):  
Pilot Study ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Latency ◽  
Sleep Onset ◽  
The United States ◽  
Cannabis Use ◽  
Sleep Diary ◽  
Random Factor ◽  
Time In Bed

Abstract Introduction Cannabis use is on the rise in the United States, with 10% of adults reporting cannabis use in the past 30 days. Users commonly report consuming cannabis to improve sleep despite the lack of research that supports an association between cannabis use and sleep. In this pilot study we sought to examine objective measures of sleep duration and sleep quality among non- and chronic-cannabis users, and any patterns in relation to the time since consumption of cannabis. Methods Chronic cannabis users (cannabis used 2 or more times/week) and non-users provided up to 2-weeks of actigraphy (ActiGraph wGT3X-BT), worn on the wrist and verified by sleep diary. Chronic cannabis users also reported the date, time, amount, and route of their cannabis use. Mixed-effects models with participant as a random factor were used to examine: 1) the relationship between daily sleep parameters in cannabis non-users vs. users; and 2) the elapsed time between cannabis use and time in bed in chronic cannabis users. Results Chronic cannabis users (n=6) and non-users (n=7) collectively provided 151 nights of sleep. Participant characteristics (38.5% female; age, 25.8 years ± 4 years; BMI, 23.4 kg/m2 ± 3.4 kg/m2) did not significantly differ between groups. Cannabis use was associated with decreased total sleep time (measured in hours, ß=-0.58, p&lt;0.001) and increased wake after sleep onset (WASO, ß=32.79, p=0.005), but not with the number of awakenings (ß=6.02, p=0.068). Among chronic cannabis users, cannabis use within two hours of bed was associated with increased sleep latency compared to use greater than two hours (ß=6.66, p=0.026). There was no association between time of cannabis use and WASO (p=0.621) or the number of awakenings (p=0.617). Conclusion In this pilot study of objectively measured sleep, we found that chronic cannabis use compared to non-use is associated with decreased sleep duration of otherwise healthy adults. Cannabis used closer to bedtime is associated with increased sleep latency. Additional studies that are able to assess the mode and dosage of use are needed to further understand the effects of cannabis and its components on sleep. Support (if any) KL2TR002370, AASM, Oregon Institute of Occupational Health Sciences

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

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.

scholarly journals 216 Resilience, sleep difficulties, and subjective sleep quality during COVID-19

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A86-A87
Author(s):  
Laura Ramos Socarras ◽  
Jérémie Potvin ◽  
Geneviève Forest
Keyword(s):  
Young Adults ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Hierarchical Regression ◽  
Unique Contribution ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
And Gender ◽  
Sleep Difficulties

Abstract Introduction We have shown in a previous study that despite significant improvements in sleep patterns and sleep duration during COVID-19 in teens and young adults, only teens reported better sleep quality and satisfaction. Moreover, sleep difficulties seem to be more prominent in the older group during the pandemic, suggesting that there could be additional risk factors involved. The current study aimed to investigate the role of resilience in the association between changes in sleep and the subjective sleep quality (SSQ) in teens and young adults during COVID-19. Methods 289 teens (12-17 years old) and 294 young adults (18-25 years old) completed the Connor-Davidson Resilience Scale-10 and an adapted version of the Pittsburgh Sleep Quality Index online. Teens and young adults were each divided into a resilient and less resilient group. Hierarchical regression models were conducted to examine the unique contribution of weekdays sleep duration, sleep difficulties, and resilience to SSQ. Sleep duration, sleep difficulties and SSQ before COVID-19, and gender were entered as controls. Results Results show that in less resilient teens, changes in sleep onset difficulties (β=-.285, p=.003), nocturnal and early awakenings (β=-.218, p=.019), and weekdays sleep duration (β=.282, p=.001) significantly predicted SSQ and explained 36.5% of the variance. In less resilient young adults, changes in nightmares (β=-.309, p=.027) and sleep onset difficulties (β=-.263, p=.012) significantly predicted SSQ and explained 24.1% of the variance. In resilient teens, changes in weekdays sleep duration (β=.296, p=.007) significantly predicted SSQ and explained 20.1% of the variance. In resilient adults, changes in sleep onset difficulties (β=-.325, p=.001), nocturnal and early awakenings (β=-.374, p=.000), and weekdays sleep duration (β=.192, p=.009) significantly predicted SSQ and explained 46.0% of the variance. Conclusion Our results suggest that resilience appears to be a protecting factor in the impacts of sleep difficulties on sleep quality, but only in adolescents. Indeed, in young adults, sleep difficulties seem to be a more important factor modulating sleep quality than changes in sleep duration. These results underline the importance of focusing on the intrinsic characteristics of each population to better target interventions. Support (if any):

scholarly journals The relationship between daily physical activity, subjective sleep quality, and mood in sedentary Hungarian adults: A longitudinal within-subjects study

2019 ◽  
Vol 2 (3) ◽  
pp. 79-85
Author(s):  
J Takács ◽  
L Török
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Exercise Intervention ◽  
Sleep Efficiency ◽  
Daily Physical Activity ◽  
Subjective Sleep Quality ◽  
Positive Effects ◽  
Within Subjects

Purpose This study investigated the day-to-day variability of daily physical activity and its effect on sleep and mood in a longitudinal within-subjects study for 7 days and 6 nights. Materials and methods Healthy office employees aged 25–35 years with a sedentary lifestyle participated in the study. Seven-day sleep diaries were used to evaluate sleep patterns. Ten-point scales were used to measure the level of happiness and stress. Daily physical activity was measured in steps/day using pedometers. Two hundred forty-five steps/day scores and changes induced in sleep and mood were analysed. Results There is a relationship between daily physical activity and sleep/mood. An inverted U-shaped relationship may be assumed between sleep duration, sleep quality, feelings after waking up, and the number of steps/day. Increasing the number of steps/day decreases the level of stress and daytime sleepiness and increases sleep efficiency. Sleep efficiency/daytime sleepiness and sleep duration did not show any association. Conclusions Based on the results, after a physically exhausting day, decreased stress and improved sleep efficiency may be experienced, while sleep duration may decrease, which may reduce the participants’ motivation to develop an active lifestyle. For further studies, it would be crucial to use individual exercise intervention programmes to reinforce the positive effects of exercise on sleep and/or mood.

scholarly journals Differential Effects of DHA- and EPA-Rich Oils on Sleep in Healthy Young Adults: A Randomized Controlled Trial

Nutrients ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 248
Author(s):  
Michael J. Patan ◽  
David O. Kennedy ◽  
Cathrine Husberg ◽  
Svein Olaf Hustvedt ◽  
Philip C. Calder ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Controlled Trial ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Omega 3 ◽  
Double Blind ◽  
Differential Effects ◽  
Positive Effects ◽  
Time In Bed ◽  
Oily Fish

Emerging evidence suggests that adequate intake of omega-3 polyunsaturated fatty acids (n-3 PUFAs), which include docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), might be associated with better sleep quality. N-3 PUFAs, which must be acquired from dietary sources, are typically consumed at suboptimal levels in Western diets. Therefore, the current placebo-controlled, double-blind, randomized trial, investigated the effects of an oil rich in either DHA or EPA on sleep quality in healthy adults who habitually consumed low amounts of oily fish. Eighty-four participants aged 25–49 years completed the 26-week intervention trial. Compared to placebo, improvements in actigraphy sleep efficiency (p = 0.030) and latency (p = 0.026) were observed following the DHA-rich oil. However, these participants also reported feeling less energetic compared to the placebo (p = 0.041), and less rested (p = 0.017), and there was a trend towards feeling less ready to perform (p = 0.075) than those given EPA-rich oil. A trend towards improved sleep efficiency was identified in the EPA-rich group compared to placebo (p = 0.087), along with a significant decrease in both total time in bed (p = 0.032) and total sleep time (p = 0.019) compared to the DHA-rich oil. No significant effects of either treatment were identified for urinary excretion of the major melatonin metabolite 6-sulfatoxymelatonin. This study was the first to demonstrate some positive effects of dietary supplementation with n-3 PUFAs in healthy adult normal sleepers, and provides novel evidence showing the differential effects of n-3 PUFA supplements rich in either DHA or EPA. Further investigation into the mechanisms underpinning these observations including the effects of n-3 PUFAs on sleep architecture are required.

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