069 Chronic pain in Veterans with TBI is associated with decreased EEG slow wave coherence during NREM sleep

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A28-A29
Author(s):  
Nadir Balba ◽  
Christina Reynolds ◽  
Mo Modarres ◽  
Alisha McBride ◽  
Selda Yildiz ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Slow Wave ◽  
Sleep Disturbances ◽  
Nrem Sleep ◽  
Sleep Stages ◽  
Poor Sleep ◽  
Signal Processing Algorithm ◽  
History Of ◽  
Underlying Mechanisms ◽  
The Relationship

Abstract Introduction Chronic pain and sleep disturbances are intricately linked to one another, especially in individuals with a history of traumatic brain injury (TBI) who are at greater risk for both symptoms. Although prior studies have analyzed differences in sleep electroencephalogram (EEG) in these clinical populations, the association between sleep EEG slow wave coherence and pain complaints is not fully examined or known. Our novel slow wave coherence approach may provide new insights into the relationship between TBI, chronic pain, and sleep Methods Ninety-six veterans were recruited and enrolled under a VA IRB-approved protocol. Participants completed a semi-structured clinical interview to determine their history of TBI, Symptom Impact Questionnaire Revised (SIQR), a measure of chronic pain complaints, and underwent an attended overnight in-lab polysomnogram (PSG). We developed a novel computational signal processing algorithm to identify and quantify EEG slow waves within 100 ms bins across the 6 standard PSG EEG channels. When a slow wave was simultaneously observed in 4 or more of the 6 leads, slow wave coherence was inferred, and a percentage of slow wave coherence across each of the sleep stages was then calculated for each subject. Results In our sample, 65 participants (67.7%) endorsed experiencing chronic pain lasting 3 months or longer, and 54 had a history of TBI (56.3%). Participants endorsing chronic pain had a significantly lowered percent of EEG slow wave coherence during NREM sleep than subjects without chronic pain (p = 0.01). NREM EEG slow wave coherence did not correlate with SIQR scores in subjects without TBI (r = -0.03, p = 0.90), but was significantly negatively correlated in subjects with TBI (r = -0.32, p = 0.02). Conclusion EEG slow wave coherence during NREM sleep is correlated with chronic pain complaints in Veterans with a history of TBI, and could be indicative of neuronal dysfunction during sleep. Further research on slow wave coherence is warranted to understand the underlying mechanisms for the association between chronic pain and poor sleep following TBI. Support (if any) D01 W81XWH-17-1-0423

THE RELATIONSHIP BETWEEN SMART PHONE USAGE AND SLEEP DISTURBANCES AND PSYCHOLOGICAL DISSTRESS AMONG STUDENTS

2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen
Keyword(s):  
High School ◽  
High School Students ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Public Health Problem ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
School Students ◽  
The Relationship

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.

Sleep disturbances in critically ill patients

2017 ◽  
Author(s):  
Gerald L. Weinhouse
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Sleep Disturbances ◽  
Nrem Sleep ◽  
Poor Sleep ◽  
Multifaceted Approach ◽  
Safe Environment ◽  
Vulnerable Patients ◽  
Quality Sleep ◽  
Support Devices

This chapter reviews the numerous reasons why critically ill patients often sleep poorly and describes the unique challenges of monitoring sleep in these patients. An inhospitable environment in the intensive care unit (ICU), care-related interruptions day and night, mechanical ventilation, numerous medications, and critical illness itself conspire to deprive these vulnerable patients of both deep NREM sleep and REM sleep. Under some conditions, sleep is so disturbed as to be almost unrecognizable by the Rechtschaffen & Kales criteria. Patients may suffer from “atypical sleep” or from “pathological wakefulness.” Patients often recall this poor sleep as one of their most stressful experiences while in the ICU. Ultimately, what may best restore good quality sleep for patients in the ICU is a multifaceted approach to creating a quiet, safe environment, combined with evidence-based management of medications, support devices, pain, and delirium and a conscious effort to set aside uninterrupted time for sleep.

scholarly journals 0981 Sleep Practices In Pediatric Cancer—Does Sleep Hygiene Matter For Reducing Cancer Symptom Burden?

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A372-A373
Author(s):  
L C Daniel ◽  
Y Gross ◽  
L Meltzer ◽  
C Forrest ◽  
L Barakat
Keyword(s):  
Pediatric Cancer ◽  
Sleep Disturbances ◽  
Symptom Burden ◽  
Sleep Hygiene ◽  
Pain Interference ◽  
Poor Sleep ◽  
Patient Centered ◽  
Nighttime Sleep ◽  
The Relationship ◽  
Parent Proxy

Abstract Introduction Sleep disturbances are common during pediatric cancer treatment and recent evidence suggests a correlation between sleep and symptom burden. Improving nighttime sleep may impact patients’ ability to cope with symptoms. The current study tests the interaction between sleep hygiene and sleep disturbances in predicting cancer-related symptoms to determine if the relationship between sleep and symptoms is different for patients with better sleep hygiene. Methods 102 caregivers of children with cancer (ages 5-17, M=10.12, SD=4.02; 58% female) completed parent-proxy Pediatric Sleep Practices Questionnaire (yielding routine consistency and sleep opportunity scores) and measures of cancer-related symptoms (PROMIS Sleep Disturbance, Fatigue, and Pain Interference; PedsQL—Cancer Module-Nausea subscale). The interaction between sleep disturbances and sleep hygiene (consistency, opportunity) on each symptom (pain, nausea, fatigue) were tested using PROCESS moderation. Results 81% of caregivers report that their child receives sufficient sleep but only 12% reported regular consistent sleep patterns/routines. Sleep opportunity was not related to sleep disturbances or cancer-related symptoms, but more routine consistency was related to fewer sleep disturbances (r=.30, p=.003). The interaction between sleep disturbances and routine consistency significantly predicted pain interference [R2=.16, F(3, 98)=6.37, p&lt;.001; Bint =-0.17, p=.028] and nausea [R2=.16, F(3, 98)=6.47, p&lt;.001; Bint=0.46, p=.004]. The interaction between sleep disturbances and sleep opportunity significantly predicted nausea [R2=.15, F(3, 98)=5.76, p=.001; Bint =0.68, p=.016] but not pain interference. Both interaction models predicting fatigue were not significant. Conclusion The sleep/pain and sleep/nausea relationships are stronger in patients with more consistent sleep routines and the sleep/nausea relationship is also stronger in patients with sufficient/well-timed sleep opportunities. Sleep and fatigue were moderately related across all levels of both sleep hygiene components. Clinical interventions that target sleep hygiene together with sleep disturbances such as nighttime awakenings and poor sleep quality may be more effective in addressing cancer-related symptoms such as pain and nausea. Support This work was supported in part by funding from the Patient-Centered Outcomes Research Institute (PCORI-D-17-00187; PI Christopher Forrest).

scholarly journals A-130 An Exploratory Analysis of the Impact PTSD Related Sleep Disturbance has on Language Generativity in Veterans with mTBI

2020 ◽  
Vol 35 (6) ◽  
pp. 923-923
Author(s):  
Walker N ◽  
Scott T ◽  
Spellman J ◽  
Rivera J ◽  
Waltzman D ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Verbal Fluency ◽  
Sleep Disturbances ◽  
Self Report ◽  
Analysis Of Covariance ◽  
Ptsd Symptoms ◽  
History Of ◽  
The Impact ◽  
The Relationship

Abstract Objective Reviewed literature suggests that individuals with Posttraumatic Stress Disorder (PTSD) demonstrate cognitive deficits in attention, learning/memory, and executive functions. Less is known regarding the relationship between sleep disturbance and language abilities among individuals with PTSD. We hypothesized that subjective perceptions of PTSD-related sleep disturbance would impact language generativity in Veterans with PTSD. Methods 38 individuals (mean age = 46.58, SD = 13.55; 10% female) were administered a brief neurocognitive battery including measures of verbal generativity [i.e., Delis-Kaplan Executive Function System: Verbal fluency subtest], PTSD symptoms (i.e., clinically significant PTSD = &gt; 35 on the PTSD Checklist for DSM-IV), self-report measures of sleep quality (Pittsburgh Sleep Quality Inventory; PSQI), and PTSD-related sleep disturbances (PSQI – Addendum for PTSD). All participants had a history of mild traumatic brain injury (mTBI). An analysis of covariance was used to assess the contribution of PTSD-related sleep disturbance on verbal fluency in Veterans with PTSD. Post-hoc analyses were conducted. Results Those without PTSD performed better on letter fluency than those with PTSD (p=.019). There was no significant effect of PTSD (presence or absence) on letter fluency performance after controlling for subjective sleep quality, F(1, 35) = 1.43, p = .239. Follow up analyses failed to show any associations between PTSD and other cognitive measures. Conclusions PTSD related sleep disturbance accounts for a significant portion of the variance in the relationship between PTSD and verbal generativity. Individuals with a history of mTBI and current PTSD symptoms, may have worse verbal generativity but is partially accounted for by PTSD related sleep disturbance.

scholarly journals Relationship of sleep homeostasis to seizures and cognition in children with focal epilepsy

2020 ◽  
Author(s):  
Maria H Eriksson ◽  
Torsten Baldeweg ◽  
Ronit Pressler ◽  
Stewart G Boyd ◽  
Reto Huber ◽  
...  
Keyword(s):  
Slow Wave ◽  
Focal Epilepsy ◽  
Nrem Sleep ◽  
Wave Activity ◽  
Slow Wave Activity ◽  
Iq Testing ◽  
Sleep Homeostasis ◽  
Interictal Discharges ◽  
Relationship Of ◽  
The Relationship

AbstractObjectiveSleep disruption and cognitive impairment are important co-morbidities in childhood epilepsy, yet a mechanistic link has not been substantiated. Slow wave activity during sleep and its homeostatic decrease across the night is associated with synaptic renormalisation, and shows maturational changes over the course of childhood. Here, we aimed to investigate the effect of epilepsy on sleep homeostasis in the developing brain.MethodsWe examined the relationship of sleep homeostasis as reflected in slow wave activity to seizures, cognition and behaviour, comparing 22 children (aged 6 to 16 years) with focal epilepsy to 21 age-matched healthy controls. Participants underwent overnight sleep EEG and IQ testing and performed memory consolidation tasks. Their parents completed standard behavioural questionnaires.ResultsChildren with epilepsy had lower slow wave activity at the start of non-rapid eye movement (NREM) sleep, though similar overnight decline and slow wave activity in the final hour of NREM sleep. Both groups displayed an antero-posterior shift in peak slow wave activity overnight, though individual patients showed persistent local increases at scalp locations matching those of focal interictal discharges. Patients who had seizures during their admission had lower early-night slow wave activity, the group without seizures showing similar activity to controls. We found a positive correlation between full scale IQ and early-night slow wave activity in patients but not controls.InterpretationReduced early night slow wave activity in children with focal epilepsies is correlated with lower cognitive ability and more seizures and may reflect a reduction in learning-related synaptic potentiation.

scholarly journals Microglia: A Potential Therapeutic Target for Sepsis-Associated Encephalopathy and Sepsis-Associated Chronic Pain

2020 ◽  
Vol 11 ◽  
Author(s):  
Yi Li ◽  
Lu Yin ◽  
Zhongmin Fan ◽  
Binxiao Su ◽  
Yu Chen ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Immune Cell ◽  
Treatment Strategies ◽  
Neurological Dysfunction ◽  
Potential Therapeutic Target ◽  
The Central Nervous System ◽  
Underlying Mechanisms ◽  
The Relationship ◽  
The Brain

Neurological dysfunction, one of the severe manifestations of sepsis in patients, is closely related to increased mortality and long-term complications in intensive care units, including sepsis-associated encephalopathy (SAE) and chronic pain. The underlying mechanisms of these sepsis-induced neurological dysfunctions are elusive. However, it has been well established that microglia, the dominant resident immune cell in the central nervous system, play essential roles in the initiation and development of SAE and chronic pain. Microglia can be activated by inflammatory mediators, adjacent cells and neurotransmitters in the acute phase of sepsis and then induce neuronal dysfunction in the brain. With the spotlight focused on the relationship between microglia and sepsis, a deeper understanding of microglia in SAE and chronic pain can be achieved. More importantly, clarifying the mechanisms of sepsis-associated signaling pathways in microglia would shed new light on treatment strategies for SAE and chronic pain.

Hoe interpreteren leidinggevenden het feedback-zoekende gedrag van hun medewerkers?

2009 ◽  
Vol 22 (1) ◽  
Author(s):  
Katleen E.M. De Stobbeleir ◽  
Susan J. Ashford ◽  
Mary F. Sully De Luque ◽  
Dirk Buyens
Keyword(s):  
Feedback Seeking ◽  
Performance History ◽  
Individual Outcomes ◽  
Implicit Person Theory ◽  
History Of ◽  
Underlying Mechanisms ◽  
The Relationship

In the eye of the beholder: how is feedback seeking behaviour interpreted in organisations? In the eye of the beholder: how is feedback seeking behaviour interpreted in organisations? K.E.M. de Stobbeleir, S.J. Ashford, M.F. Sully De Luque and D. Buyens, Gedrag & Organisatie, volume 22, March 2009, nr. 1, pp. 23-40 This study examined how the pattern of feedback seeking affects how feedback-seeking behaviour is evaluated in organisations. Controlling for the performance history of the feedback seeker, we studied how the type of the sought feedback (strengths versus weaknesses) and the frequency of seeking (frequent versus occasional) affect targets' impressions of feedback seekers and their seeking. We also assessed how the targets' implicit person theory and their attributions for feedback seeking affect the relationship between feedback-seeking behaviour and targets' impressions. Results show that targets' attributions for feedback seeking are one of the underlying mechanisms for why feedback seeking behaviour affects important individual outcomes in organizations and that the targets' implicit person theory is a relevant moderator of these effects.

Cigarette Smoking Is An Independent Predictor of Chronic Pain In Sickle Cell Patients: Results From the Walk-PHaSST Study

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4804-4804
Author(s):  
Ruchika Goel ◽  
Kathryn Hassell ◽  
Oswaldo Castro ◽  
Robyn J. Barst ◽  
Erika Berman Rosenzweig ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Logistic Regression ◽  
Effect Size ◽  
Research Funding ◽  
Smoking History ◽  
Cigarette Smoker ◽  
Hydroxyurea Treatment ◽  
History Of ◽  
The Relationship ◽  
A Current

Abstract Abstract 4804 Introduction: Smoking is known to promote vascular inflammation, in-vitro platelet aggregation and expression of endothelial adhesion molecules, processes that contribute to vasculopathy. Inflammation, abnormal platelet activation with thrombus formation and endothelial cell activation also play a role in vaso-occlusion in sickle cell disease (SCD). These overlapping pathobiological mechanisms suggest the possibility of a relationship between smoking and SCD vaso-occlusive pain. While small single center studies have suggested a link between environmental smoke exposure and hospitalization rate for acute chest syndrome and SCD pain (West et al 2003, Cohen et al 2010) there is a paucity of data derived from large multicenter studies about the interplay between smoking and pain phenotype in SCD. Aims: To determine the relationship between patient self reported chronic pain and history of current or former cigarette smoking in the SCD subjects screened in the walk-PHaSST study. Methods: Walk-PHaSST was a multi-center, placebo-controlled, double-blind 16-week trial designed to evaluate the safety and efficacy of sildenafil in patients with tricuspid regurgitant velocity [TRV] ≥2.7m/s and decreased exercise capacity as assessed by the six-minute walk distance (6MWD). We analyzed the data from all subjects screened for the walk-PHaSST trial. In the screening trial, subjects were evaluated by medical history, physical examination, laboratory screening, echocardiography and 6MWD testing. Univariate and stepwise multivariable logistic regression was used for this analysis. P value of <0.05 was considered statistically significant. Results: Of the 720 patients screened, medical history on pain and smoking was obtained in a total of 673 subjects. Of these, 483/673 subjects (72%) had HbSS disease and 137 (20.4%) had HbSC disease. Mean age was 36.6 years (median 36.1 years). A total of 104 (15.5%) were current smokers and 114 (17.4%) reported having smoked in the past and 451 (67.1%) subjects reported no history of any life-time or current smoking. Subjects had smoked for a mean of 11.5 years (median 9 years, range 1–42 years). The mean pack years of smoking were 8.8 (median 5 years, range <1- 60 pack years). In a multivariable logistic regression model, being a ‘current’ cigarette smoker was associated with an increased odds ratio (OR 3.0, 95% CI 1.8–4.9) (See Table 1) of reporting chronic SCD pain as compared to no smoking history when adjusted for 1) self reported acute pain, 2) age, 3) gender, 4) hematocrit 4) marijuana use, 5) SCD genotype and 6) current hydroxyurea treatment. Additionally, in the multivariable model, being a ‘former’ cigarette smoker was associated with a smaller effect size (OR 2.2, 95% CI 1.4–3.5) of reporting chronic SCD pain as compared with no smoking history when adjusted for the above listed variables. On examining by SCD genotypes, the effect size was similar for HbSS genotype (OR 2.79, 95% CI: 1.54–5.0) while the effect size was significantly higher for HbSC genotype (OR 5.6, 95% CI: 1.7–19.0). The increase in self reported pain with number of pack years adjusted for age was not statistically significant although an increase in reported pain was observed with increase in the number of pack years (See Figure 1). Conclusions: These data suggest that being a current or former smoker is independently associated with ‘self reported chronic SCD pain’ after adjusting for potential confounding variables including age of the patient, gender, hematocrit, marijuana use and being on hydroxyurea treatment. However, it is unclear whether smoking might worsen pain, represent a stress relieving behavior by patients to chronic pain or even provide a beneficial adaptation to chronic pain mediated by nicotine, carbon monoxide, nitric oxide, or other substances known to be present in tobacco smoke. These data provide a rationale for further mechanistic studies of the relationship between smoking and chronic pain in patients with SCD. Disclosures: Hassell: Novartis: Research Funding. Barst: Pfizer: Consultancy, Research Funding. Rosenzweig: Pfizer: Research Funding. Badesch: Pfizer: Honoraria, Research Funding.

scholarly journals Impact of Impulse Control Disorders on Sleep-Wake Regulation in Parkinson’s Disease

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Atbin Djamshidian ◽  
Werner Poewe ◽  
Birgit Högl
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Impulse Control ◽  
Sleep Disturbances ◽  
Treatment Strategies ◽  
Compulsive Buying ◽  
Impulse Control Disorders ◽  
Underlying Mechanisms ◽  
The Relationship ◽  
Behavioural Addictions

Sleep disturbances are common in patients with Parkinson’s disease (PD) and are even more prevalent in patients with behavioural addictions, such as pathological gambling, compulsive sexual behaviour, compulsive buying, binge eating, punding, and the compulsive use of dopamine replacement therapy. An overview of the relationship between these impulse control disorders and sleep disturbances is given and potential underlying mechanisms and treatment strategies are covered.

scholarly journals The relationship between Pittsburgh Sleep Quality Index subscales and diabetes control

2018 ◽  
Vol 15 (3) ◽  
pp. 210-219 ◽  
Author(s):  
Onala Telford ◽  
Clarissa J Diamantidis ◽  
Hayden B Bosworth ◽  
Uptal D Patel ◽  
Clemontina A Davenport ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Diabetes Control ◽  
Poor Sleep ◽  
Medication Nonadherence ◽  
Mediating Factor ◽  
The Impact ◽  
The Relationship

Objectives Data suggest that poor sleep quality as measured by the Pittsburgh Sleep Quality Index (PSQI) contributes to suboptimal diabetes control. How the subscales comprising the PSQI individually relate to diabetes control is poorly understood. Methods In order to explore how PSQI subscales relate to diabetes control, we analyzed baseline data from a trial of a telemedicine intervention for diabetes. We used multivariable modeling to examine: (1) the relationship between the global PSQI and hemoglobin A1c (HbA1c); (2) the relationships between the 7 PSQI subscales and HbA1c; and (3) medication nonadherence as a possible mediating factor. Results Global PSQI was not associated with HbA1c ( n = 279). Only one PSQI subscale, sleep disturbances, was associated with HbA1c after covariate adjustment; HbA1c increased by 0.4 points for each additional sleep disturbances subscale point (95%CI 0.1 to 0.8). Although the sleep disturbances subscale was associated with medication nonadherence (OR 2.04, 95%CI 1.27 to 3.30), a mediation analysis indicated nonadherence does not mediate the sleep disturbances-HbA1c relationship. Discussion The sleep disturbances subscale may drive the previously observed relationship between PSQI and HbA1c. The mechanism for the relationship between sleep disturbances and HbA1c remains unclear, as does the impact on HbA1c of addressing sleep disturbances.

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