scholarly journals Self-report sleep quality combined with sleep time variability distinguishes differences in fatigue, anxiety, and depression in individuals with multiple sclerosis: A secondary analysis

2018 ◽  
Vol 4 (4) ◽  
pp. 205521731881592 ◽  
Author(s):  
Catherine F Siengsukon ◽  
Mohammed Alshehri ◽  
Mayis Aldughmi
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Total Sleep Time ◽  
Secondary Analysis ◽  
Sleep Time ◽  
Anxiety And Depression ◽  
Time Variability ◽  
Poor Sleep ◽  
Poor Sleep Quality

Background Nearly 70% of individuals with multiple sclerosis report sleep disturbances or poor sleep quality. Sleep disturbances may exacerbate or complicate the management of multiple sclerosis-related symptoms. While sleep variability has been associated with several health outcomes, it is unclear how sleep variability is associated with multiple sclerosis-related symptoms. Objective The purpose of this study was to determine how total sleep time variability combined with self-reported sleep quality is associated with fatigue, depression, and anxiety in individuals with multiple sclerosis. Methods This study involved a secondary analysis of actigraphy data and questionnaires to assess sleep quality, fatigue, anxiety, and depression. Results There were significant differences between the Good Sleepers (good sleep quality/low sleep time variability; n=14) and Bad Sleepers (poor sleep quality/high sleep time variability; n=23) in overall fatigue ( p=0.003), cognitive ( p=0.002) and psychosocial fatigue ( p=0.01) subscales, and in trait anxiety ( p=0.007). There were significant differences in state ( p=0.004) and trait ( p=0.001) anxiety and depression ( p=0.002) between the Good Sleepers and Poor Reported Sleepers (poor sleep quality/low sleep time variability; n=24). Conclusion These results indicate different factors are associated with poor sleep quality in individuals with low versus high total sleep time variability. Considering the factors that are associated with sleep quality and variability may allow for better tailoring of interventions aimed at improving sleep issues or comorbid conditions.

Sleep disturbances in anorexia nervosa

2017 ◽  
Vol 41 (S1) ◽  
pp. S561-S561 ◽  
Author(s):  
M.F. Vieira ◽  
P. Afonso
Keyword(s):  
Anorexia Nervosa ◽  
Sleep Quality ◽  
Slow Wave ◽  
Sleep Disturbances ◽  
Negative Impact ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Falling Asleep

IntroductionIn clinical practice, insomnia is a common feature in anorexia nervosa (AN). Sleep self-reports in AN suggest that these patients report poor sleep quality and reduced total sleep time. Weight loss, starvation and malnutrition can all affect sleep. Patients with eating disorders who have sleep disturbances have more severe symptomatology.ObjectivesThe authors intend to review sleep disturbances observed in AN, describe possible pathophysiological mechanisms and evaluate the clinical impact of sleep disturbances on the treatment and prognosis of the disease.MethodsIn this study, a non-systematic search of published literature from January 1970 and August 2015 was carried out, through PubMed, using the following keywords: ‘sleep’, ‘anorexia nervosa’ and ‘insomnia’.ResultsThese patients subjectively report having poor sleep quality, with difficulty falling asleep, interrupted sleep, early morning waking or reduced total sleep time. Sleep disturbances found in AN using polysomnography are: reduction in total sleep time, decrease in slow wave sleep, slow wave activity and reduced sleep efficiency.ConclusionsPrivation of adequate and restful sleep has a negative impact on the quality of life of patients, may contribute to the appearance of comorbidities, such as depression and anxiety, and to a poor prognosis for AN.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Associations of sleep quality and sleep duration with frailty and pre-frailty in an elderly population Rugao longevity and ageing study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xue-Hui Sun ◽  
Teng Ma ◽  
Shun Yao ◽  
Ze-Kun Chen ◽  
Wen-Dong Xu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Elderly Population ◽  
Sleep Time ◽  
Community Dwelling ◽  
Poor Sleep ◽  
Night Sleep ◽  
Poor Sleep Quality ◽  
Logistic Regression Models

Abstract Background Previous studies suggest that poor sleep quality or abnormal sleep duration may be associated with frailty. Here we test the associations of sleep disturbances with both frailty and pre-frailty in an elderly population. Methods Participants included 1726 community-dwelling elders aged 70–87 years. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep disturbances. Frailty was defined using phenotype criteria. Logistic regression models were used to estimate odds ratio of the associations. Results The average PSQI score was 5.4 (SD, 3.1). Overall 43.6% of the participants had poor sleep quality (PSQI> 5), 8.2% had night sleep time ≤ 5 h, and 27.8% had night sleep time ≥ 9 h. The prevalence of frailty and pre-frailty was 9.2 and 52.8%, respectively. The proportions of PSQI> 5 increased with the severity of frailty status (robust: pre-frail: frail, 34.5%: 48%: 56.1%, P < 0.001). After adjustment for multiple potential confounders, poor sleep quality (PSQI> 5) was associated with higher odds of frailty (OR = 1.78, 95% CI 1.19–2.66) and pre-frailty (OR = 1.51, 95% CI 1.20–1.90). Sleep latency, sleep disturbance, and daytime dysfunction components of PSQI measurements were also associated with frailty and pre-frailty. In addition, sleep time 9 h/night was associated with higher odds of frailty and pre-frailty. Conclusions We provided preliminary evidences that poor sleep quality and prolonged sleep duration were associated with being frailty and pre-frailty in an elderly population aged 70–87 years. The associations need to be validated in other elderly populations.

scholarly journals The relationship between fatigability and sleep quality in people with multiple sclerosis

2016 ◽  
Vol 2 ◽  
pp. 205521731668277 ◽  
Author(s):  
Mayis Aldughmi ◽  
Jessie Huisinga ◽  
Sharon G Lynch ◽  
Catherine F Siengsukon
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Performance Test ◽  
Pittsburgh Sleep Quality Index ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Background Perceived fatigue and fatigability are constructs of multiple sclerosis (MS)-related fatigue. Sleep disturbances lead to poor sleep quality, which has been found to be associated with perceived fatigue in people with MS (PwMS). However, the relationship between fatigability and sleep quality is unknown. Objective To explore the relationship between physical and cognitive fatigability with self-reported and objective measures of sleep quality in PwMS. Methods Fifty-one ambulatory PwMS participated in the study. Physical fatigability was measured by percent-change in meters walked on the six-minute walk test (6MWT) and in force exerted on a repeated maximal hand grip test. Cognitive fatigability was measured using response speed variability on the continuous performance test. Self-report sleep quality was measured using the Pittsburgh Sleep Quality Index, and objective sleep quality was measured using 1 week of actigraphy. Results Components of the Pittsburgh Sleep Quality Index and several actigraph parameters were significantly associated with physical fatigability and cognitive fatigability. However, controlling for depression eliminated the association between the sleep outcomes and cognitive fatigability and attenuated the association between the sleep outcomes and physical fatigability. Conclusion Poor sleep quality is related to fatigability in MS but depression appears to mediate these relationships.

scholarly journals Sleep disturbances in obsessive-compulsive disorder: influence of depression symptoms and trait anxiety

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Cinto Segalàs ◽  
Javier Labad ◽  
Neus Salvat-Pujol ◽  
Eva Real ◽  
Pino Alonso ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Trait Anxiety ◽  
Sleep Disturbances ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Severity Of Depression ◽  
The Relationship

Abstract Background Sleep disturbances have been reported in obsessive-compulsive disorder (OCD) patients, with heterogeneous results. The aim of our study was to assess sleep function in OCD and to investigate the relationship between sleep and the severity of obsessive-compulsive (OC) symptoms, depressive symptoms and trait anxiety. Methods Sleep quality was measured in 61 OCD patients and 100 healthy controls (HCs) using the Pittsburgh Sleep Quality Index (PSQI). Multiple linear regression was conducted to explore the association between sleep and psychopathological measures; a mediation analysis was also performed. Results OCD patients showed poor sleep quality and more sleep disturbances compared to HCs. The severity of depression, trait anxiety and OC symptomatology were correlated with poor sleep quality. Multiple linear regression analyses controlling for potential confounders revealed that the severity of depression and trait anxiety were independently related to poor sleep quality in OCD. A mediation analysis showed that both the severity of trait anxiety and depression mediate the relationship between the severity of OC symptoms and poor sleep quality among patients with OCD. Conclusions Our findings support the existence of sleep disturbances in OCD. Trait anxiety and depression play a key role in sleep quality among OCD patients.

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

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.

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

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.

scholarly journals 1142 Comprehensive Phenotyping Of Ambulatory Sleep Patterns In Multiple Sclerosis

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A435-A435
Author(s):  
T J Braley ◽  
A L Kratz ◽  
D Whibley ◽  
C Goldstein
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Extreme Values ◽  
Sleep Onset ◽  
External Support ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Historical Cohort ◽  
The Impact

Abstract Introduction The majority of sleep research in persons with multiple sclerosis (PwMS) has been siloed, restricted to evaluation of one or a few sleep measures in isolation. To fully characterize the impact of sleep disturbances in MS, multifaceted phenotyping of sleep is required. The objective of this study was to more comprehensively quantify sleep in PwMS, using a recently developed multi-domain framework of duration, continuity, regularity, sleepiness/alertness, and quality. Methods Data were derived from a parent study that examined associations between actigraphy and polysomnography-based measures of sleep and cognitive function in MS. Actigraphy was recorded in n=55 PwMS for 7-12 days (Actiwatch2®, Philips Respironics). Sleep metrics included: duration=mean total sleep time (TST, minutes); continuity=mean wake time after sleep onset (minutes), and regularity=stddev wake-up time (hours). ‘Extreme’ values for continuity/regularity were defined as the most extreme third of the distributions. ‘Extreme’ TST values were defined as the lowest or highest sixth of the distributions. Sleepiness (Epworth Sleepiness Scale score) and sleep quality [Pittsburgh Sleep Quality Index (PSQI) sleep quality item] were dichotomized by accepted cutoffs (&gt;10 and &gt;1, respectively). Results Sleep was recorded for a mean of 8.2 days (stddev=0.95). Median (1st, 3rd quartile) values were as follows: duration 459.79 (430.75, 490.60), continuity 37.00 (23.44, 52.57), regularity 1.02 (0.75, 1.32), sleepiness/alertness 8 (4, 12), and sleep quality 1.00 (1.00, 2.00). Extreme values based on data distributions were: short sleep &lt;=426.25 minutes (18%), long sleep &gt;515.5 minutes (16%), poor sleep continuity ≥45 minutes (33%), and poor sleep regularity ≥1.17 hours (33%). Sleepiness and poor sleep quality were present in 36% and 40% respectively. For comparison, in a historical cohort of non-MS patients, the extreme third of sleep regularity was a stddev of 0.75 hours, 13% had ESS of &gt;10, and 16% had poor sleep quality. Conclusion In this study of ambulatory sleep patterns in PwMS, we found greater irregularity of sleep-wake timing, and higher prevalence of sleepiness and poor sleep quality than published normative data. Efforts should be made to include these measures in the assessment of sleep-related contributions to MS outcomes. Support The authors received no external support for this work.

7.2 POOR SLEEP QUALITY RELATED TO WORSE VASCULAR FUNCTION IN INDIVIDUALS WITH MULTIPLE SCLEROSIS

2016 ◽  
Vol 16 (C) ◽  
pp. 62
Author(s):  
Thessa Hilgenkamp ◽  
Garett Griffith ◽  
Robert Motl ◽  
Tracy Baynard ◽  
Bo Fernhall
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Vascular Function ◽  
Poor Sleep ◽  
Poor Sleep Quality

scholarly journals Poor sleep quality in patients with multiple sclerosis: gender differences

2016 ◽  
Vol 6 (11) ◽  
pp. e00553 ◽  
Author(s):  
Marianna Vitkova ◽  
Jaroslav Rosenberger ◽  
Zuzana Gdovinova ◽  
Jarmila Szilasiova ◽  
Pavol Mikula ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Gender Differences ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality

Relationshp Between Sleep Quality, Mood State, and Performance of Elite Air-Rifle Shooters

2021 ◽  
Author(s):  
Jiaojiao Lu ◽  
Yan An ◽  
Jun Qiu
Keyword(s):  
Sleep Quality ◽  
Mood State ◽  
Sleep Latency ◽  
Sleep Time ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Somatic Anxiety ◽  
And Performance ◽  
Air Rifle ◽  
Good Sleep

Abstract Background To evaluate the impact of pre-competition sleep quality on the mood and performance of elite air-rifle shooters. Methods This study included 23 elite air-rifle shooters who participated in an air-rifle shooting-competition from April 2019 to October 2019. Sleep time, sleep efficiency, sleep latency, and wake-up time after sleep onset were monitored using actigraphy. The Pittsburgh sleep quality index and Profile of Mood State were used to assess sleep quality. Competitive State Anxiety Inventory-2 was used to evaluate mood state. Results The average time to fall asleep, sleep time, sleep efficiency, and subjective sleep quality were 20.6 ± 14.9 min, 7.0 ± 0.8 h, 85.9 ± 5.3%, and 5.2 ± 2.2, respectively. Sleep quality decreased as the competition progressed. Pre-competition sleep time in female athletes was significantly higher than that on the competition day (P = 0.05). Pre-competition sleep latency was significantly longer in women than in men (P = 0.021). During training and pre-competition, the tension, fatigue, depression, and emotional disturbance were significantly lower in athletes with good sleep quality than in athletes with poor sleep quality. Athletes with good sleep quality had significantly more energy. The PSQI total score was positively correlated with positive emotion, TMD, cognitive anxiety, and somatic anxiety POMS scores, and negatively correlated with energy and self-confidence scores. Race scores and depression and somatic anxiety scores were negatively correlated. Conclusion Poor sleep quality negatively impacted the mood of athletes; however, sleep indices and competition performance of athletes during competitions were not significantly correlated.

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