The Sleep Interview and Sleep Questionnaires

2005 ◽  
pp. 967-971
Author(s):  
Charles J. Bae ◽  
Joseph A. Golish
Keyword(s):  
Sleep Questionnaires

scholarly journals Cerebrospinal Fluid Hypocretin and Nightmares in Dementia Syndromes

2021 ◽  
pp. 19-25
Author(s):  
Lynn Marie Trotti ◽  
Donald L. Bliwise ◽  
Glenda L. Keating ◽  
David B. Rye ◽  
William T. Hu
Keyword(s):  
Cerebrospinal Fluid ◽  
Alzheimer Disease ◽  
Cholinesterase Inhibitor ◽  
Dementia With Lewy Bodies ◽  
Lewy Bodies ◽  
Cognitively Normal ◽  
Dementia Patients ◽  
Sleep Questionnaires ◽  
Sleep Alterations ◽  
Normal Controls

Background/Aims: Hypocretin promotes wakefulness and modulates REM sleep. Alterations in the hypocretin system are increasingly implicated in dementia. We evaluated relationships among hypocretin, dementia biomarkers, and sleep symptoms in elderly participants, most of whom had dementia. Methods: One-hundred twenty-six adults (mean age 66.2 ± 8.4 years) were recruited from the Emory Cognitive Clinic. Diagnoses were Alzheimer disease (AD; n = 60), frontotemporal dementia (FTD; n = 21), and dementia with Lewy bodies (DLB; n = 20). We also included cognitively normal controls (n = 25). Participants and/or caregivers completed sleep questionnaires and lumbar puncture was performed for cerebrospinal fluid (CSF) assessments. Results: Except for sleepiness (worst in DLB) and nocturia (worse in DLB and FTD) sleep symptoms did not differ by diagnosis. CSF hypocretin concentrations were available for 87 participants and normal in 70, intermediate in 16, and low in 1. Hypocretin levels did not differ by diagnosis. Hypocretin levels correlated with CSF total τ levels only in men (r = 0.34; p = 0.02). Lower hypocretin levels were related to frequency of nightmares (203.9 ± 29.8 pg/mL in those with frequent nightmares vs. 240.4 ± 46.1 pg/mL in those without; p = 0.05) and vivid dreams (209.1 ± 28.3 vs. 239.5 ± 47.8 pg/mL; p = 0.014). Cholinesterase inhibitor use was not associated with nightmares or vivid dreaming. Conclusion: Hypocretin levels did not distinguish between dementia syndromes. Disturbing dreams in dementia patients may be related to lower hypocretin concentrations in CSF.

631 Sleep SMART in Adolescents with Neurodevelopmental Disorders

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A247-A248
Author(s):  
Alyson Hanish ◽  
Abbey Jo Klein ◽  
Therese Mathews ◽  
Ann Berger ◽  
Kevin Kupzyk ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Neurodevelopmental Disorders ◽  
Sleep Disturbances ◽  
Immediate Release ◽  
Sleep Time ◽  
Normative Values ◽  
Exogenous Melatonin ◽  
Contingency Contracting ◽  
Sleep Questionnaires ◽  
The Impact

Abstract Introduction: Introduction Sleep disturbances are common in adolescents with neurodevelopmental disorders (NDDs). Inclusion of vulnerable populations such as adolescents with NDDs into sleep intervention efforts is essential as they are at high-risk for poor physical/mental health outcomes. The objective of this study is to pilot a sequential, multiple assignment, randomized trial (SMART) design to compare the impact of a sequence of sleep interventions, based on treatment response, to optimize sleep health in adolescents with NDDs. Methods: Methods Recruitment began June 2019 using convenience sampling. The SMART pilot feasibility study includes 1-week of baseline sleep data, and two 4-week periods of a sleep intervention (9-week total study enrollment). Interventions include exogenous melatonin, The Bedtime Bank, and their combination. Exogenous melatonin (liquid, immediate release, 3mg) is administered 30 minutes before bedtime. The Bedtime Bank, a behavioral sleep intervention, is based upon contingency contracting that relies on a credit- or debt-based system to hold adolescents accountable for maintaining a consistent bedtime. At baseline participants completed demographics, PROMIS pediatric sleep questionnaires, the Cleveland Adolescent Sleepiness Questionnaire (CASQ), salivary & urinary endogenous melatonin measurement, and one week of actigraphy. Upon enrollment, participants were randomly assigned to either melatonin or The Bedtime Bank. Participants who respond (nightly increase in total sleep time (TST) ≥18 minutes) remain on the assigned intervention; if non-responsive participants are re-randomized to a different sleep intervention or combination. Results: Results At baseline, participants (n=29, aged 10–18 years) had an average TST of 7 hours 11 minutes. PROMIS Sleep Disturbance (M=64.3, SE=2.5), PROMIS Sleep-Related Impairment scores (M=58.9, SE=2.2), and CASQ scores (M=40.0, SD= 10.5) were higher than reported normative values. Salivary DLMO & urinary 6-sulfatoyxmelatonin analysis is ongoing. For participants who completed the full 9-week trial, nearly 30% (n=7/24) were responsive (increased baseline TST ≥18 minutes) to one of the 4-week interventions. Conclusion: Conclusion Baseline data of the enrolled participants demonstrates poor indicators of TST, sleep disturbance, and sleep related impairment. Preliminary results of this SMART indicate some adolescents are responsive to sleep interventions aimed to improve their TST. Support (if any) Support: This clinical trial is funded by the National Institute of Nursing Research, National Institutes of Health (1K01NR017465-01A1).

scholarly journals P093 A Systematic Review of Adherence to Cognitive Behavioural Therapy for Insomnia (CBT-I) - Key Findings

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A51-A51
Author(s):  
A Mellor ◽  
E Kavaliotis ◽  
S Drummond
Keyword(s):  
Systematic Review ◽  
Treatment Outcomes ◽  
Psychosocial Support ◽  
Behavioural Therapy ◽  
Sleep Diary ◽  
Sleep Diaries ◽  
Cognitive Behavioural ◽  
Psychological Comorbidities ◽  
Digital Studies ◽  
Sleep Questionnaires

Abstract Introduction Research into factors influencing adherence to CBT-I and how adherence impacts treatment outcomes remains scarce. Through a systematic review, we aimed to determine how adherence is assessed; which factors predict adherence; and which treatment outcomes are predicted by adherence. Methods Included publications met the following criteria: adults with insomnia; an intervention of CBT-I, including sleep restriction (SRT) and/or stimulus control (SCT); a reported measure of adherence; and written in English. Results Final n=103 papers. Measures assessed either global adherence or adherence to specific components of CBT-I via questionnaires, sleep diaries, interviews, or actigraphy. Most common measures were sleep diary-derived CBT-I components for therapist-led studies, and module completion for digital studies. Twenty-eight papers (27.2% of total) examined predictors of adherence. Depression, pre- and post-session sleep, psychosocial support, and dysfunctional beliefs about sleep predicted adherence. Demographic variables, other psychological comorbidities, insomnia severity, and sleep questionnaires did not predict adherence. Twenty-eight papers (27.2%) examined whether adherence predicted treatment outcomes. Neither global adherence nor adherence to any specific component of therapist-led CBT-I reliably predicted sleep outcomes. For digital CBT-I, completion of treatment modules was linked to improvements in ISI, however there were only five studies. Conclusion There was a high degree of heterogeneity in how adherence was measured, and in predictors and outcome variables assessed. This heterogeneity likely explains why adherence does not appear to predict treatment outcome. The field needs to develop a standardised method for assessing each specific adherence construct to fully understand the role of adherence in CBT-I.

scholarly journals Introduction to Pediatric Sleep Clinic and Sleep Testing

2019 ◽  
pp. 81-106
Author(s):  
Madeleine Grigg-Damberger ◽  
Kathy M. Wolfe
Keyword(s):  
Decision Making ◽  
Children And Adolescents ◽  
Diagnostic Evaluation ◽  
Smartphone Apps ◽  
Child Friendly ◽  
Sleep Centers ◽  
Sleep Questionnaires ◽  
Multiple Sleep Latency ◽  
Multiple Sleep Latency Testing ◽  
Pediatric Sleep

This chapter covers the diagnostic evaluation of children and adolescents referred to sleep centers. Diagnosis of sleep disorders in children begins with a structured history. Pediatric sleep questionnaires can be useful. Polysomnography can be frightening for children, and child-friendly polysomnography techniques are discussed. The authors outline how sleep studies are scored in children. The use of actigraphy, nocturnal home oximetry, and multiple sleep latency testing is reviewed. Smartphone apps for monitoring sleep/wake are summarized. The authors believe that more evidence of the validity of smartphone apps is needed before we accept data from them and integrate this information into decision making and the electronic medical records.

scholarly journals Estimating daytime sleepiness with previous night electroencephalography, electrooculography, and electromyography spectrograms in patients with suspected sleep apnea using a convolutional neural network

SLEEP ◽  
2020 ◽  
Vol 43 (12) ◽  
Author(s):  
Sami Nikkonen ◽  
Henri Korkalainen ◽  
Samu Kainulainen ◽  
Sami Myllymaa ◽  
Akseli Leino ◽  
...  
Keyword(s):  
Neural Network ◽  
Sleep Apnea ◽  
Convolutional Neural Network ◽  
Daytime Sleepiness ◽  
Sleep Latency ◽  
Standard Test ◽  
Common Symptom ◽  
Previous Night ◽  
Obstructive Sleep ◽  
Sleep Questionnaires

Abstract A common symptom of obstructive sleep apnea (OSA) is excessive daytime sleepiness (EDS). The gold standard test for EDS is the multiple sleep latency test (MSLT). However, due to its high cost, MSLT is not routinely conducted for OSA patients and EDS is instead evaluated using sleep questionnaires. This is problematic however, since sleep questionnaires are subjective and correlate poorly with the MSLT. Therefore, new objective tools are needed for reliable evaluation of EDS. The aim of this study was to test our hypothesis that EDS can be estimated with neural network analysis of previous night polysomnographic signals. We trained a convolutional neural network (CNN) classifier using electroencephalography, electrooculography, and chin electromyography signals from 2,014 patients with suspected OSA. The CNN was trained to classify the patients into four sleepiness categories based on their mean sleep latency (MSL); severe (MSL < 5min), moderate (5 ≤ MSL < 10), mild (10 ≤ MSL < 15), and normal (MSL ≥ 15). The CNN classified patients to the four sleepiness categories with an overall accuracy of 60.6% and Cohen’s kappa value of 0.464. In two-group classification scheme with sleepy (MSL < 10 min) and non-sleepy (MSL ≥ 10) patients, the CNN achieved an accuracy of 77.2%, with sensitivity of 76.5%, and specificity of 77.9%. Our results show that previous night’s polysomnographic signals can be used for objective estimation of EDS with at least moderate accuracy. Since the diagnosis of OSA is currently confirmed by polysomnography, the classifier could be used simultaneously to get an objective estimate of the daytime sleepiness with minimal extra workload.

Use of Sleep Questionnaires in Assessing the Effect of Moclobemide on the Sleep Profiles of Depressive Patients

1994 ◽  
Vol 17 ◽  
pp. S19-S28 ◽  
Author(s):  
J. A. O. Campos ◽  
T. F. Deitos ◽  
M. C. Lima ◽  
K. Salomão ◽  
S. Salomão ◽  
...  
Keyword(s):  
Sleep Questionnaires ◽  
Depressive Patients

scholarly journals A Subjective Evaluation of a Nasal Dilator on Sleep & Snoring

1994 ◽  
Vol 73 (6) ◽  
pp. 395-401 ◽  
Author(s):  
Martin B. Scharf ◽  
Michael McDannold
Keyword(s):  
Sleep Quality ◽  
Daytime Sleepiness ◽  
Subjective Evaluation ◽  
Subjective Assessment ◽  
Open Label ◽  
Open Label Study ◽  
Label Study ◽  
History Of ◽  
Stanford Sleepiness Scale ◽  
Sleep Questionnaires

A noninvasive external nasal dilator device was used by 20 subjects with a history of mild snoring in a 2 week open label study. The baseline assessments were obtained during the first week. Treatment effects were evaluated during the second week. Subjects were evaluated using: pre- and post-sleep questionnaires; Stanford Sleepiness Scales completed at breakfast, lunch and dinner; and post-sleep bed partner questionnnaires. All twenty subjects completed the study. A significant number of subjects’ scores improved for sleepiness. Mean scores for the subjective assessment for ease of breathing during sleep improved compared to baseline by 25.6%, snoring loudness improved by 34%, sleep quality improved by 21.8%, and the Stanford Sleepiness Scale revealed a 26% reduction in daytime sleepiness.

scholarly journals Determinants of Sleep Quality in Inflammatory Bowel Diseases

2020 ◽  
Vol 9 (9) ◽  
pp. 2921 ◽  
Author(s):  
Marcin Sochal ◽  
Ewa Małecka-Panas ◽  
Agata Gabryelska ◽  
Renata Talar-Wojnarowska ◽  
Bartosz Szmyd ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Inflammatory Bowel Diseases ◽  
Pain Scale ◽  
Factors Affecting ◽  
Athens Insomnia Scale ◽  
Pain Scales ◽  
Bowel Diseases ◽  
Inflammatory Bowel ◽  
Comorbid Chronic Diseases ◽  
Sleep Questionnaires

The causes of disordered sleep, frequently reported by patients with inflammatory bowel diseases (IBD), are poorly understood. The study aimed to evaluate sleep quality in IBD patients and to identify factors affecting their sleep. IBD patients (n = 133) and healthy controls (HC; n = 57) were included in the study and completed sleep questionnaires (Pittsburgh Sleep Quality Index (PSQI), Athens insomnia scale (AIS), and Epworth sleepiness scale (ESS)), Beck Depression Inventory (BDI), and pain scales (Visual Analogue Scale and Laitinen Pain Scale). IBD patients attained higher scores in all sleep questionnaires compared to HC: PSQI, AIS, and ESS (all p < 0.001). They also had prolonged sleep latency (p < 0.001) with reduced sleep efficiency (p < 0.001). Patients in exacerbation of IBD had higher scores in PSQI (p = 0.008), ESS (p = 0.009), but not in AIS, compared to those in remission. Participants with comorbid chronic diseases had higher scores in PSQI and AIS, but not in ESS, compared to others. Multiple regression revealed that the sleep questionnaire results were significantly affected by mood level (BDI), but not by the aforementioned pain scales. Sleep impairment in IBD patients is a common problem that deserves attention in everyday clinical practice and mood level seems to be the main factor affecting the quality of sleep in IBD patients.

Are there differences in the predictive values of sleep questionnaires between genders?

2019 ◽  
Author(s):  
Athanasia Pataka ◽  
George Kalamaras ◽  
Seraphim Kotoulas ◽  
Katalin Fekete ◽  
Paraskevi Argyropoulou
Keyword(s):  
Predictive Values ◽  
Sleep Questionnaires

Short-Term Study of Quazepam 15 Milligrams in the Treatment of Insomnia

1983 ◽  
Vol 11 (3) ◽  
pp. 162-166 ◽  
Author(s):  
Raul Hernandez Lara ◽  
Pedro Leal Del Rosal ◽  
Julia Cristina Ponce
Keyword(s):  
Sleep Time ◽  
Baseline Period ◽  
Early Morning ◽  
Random Allocation ◽  
Double Blind ◽  
Adverse Experiences ◽  
Short Term Study ◽  
Quality Sleep ◽  
Hypnotic Efficacy ◽  
Sleep Questionnaires

The hypnotic efficacy and safety of quazepam 15 mg was compared with placebo in thirty-six out-patients with insomnia. The study was double-blind, with two comparable groups of patients established by random allocation. Following a placebo baseline period, patients took placebo or quazepam for 5 consecutive nights and completed sleep questionnaires the next day. Quazepam was rated better than placebo in terms of sleep quality, sleep induction time, total sleep time, and early morning awakenings. Quazepam treatment was rated as good or excellent by the physician and the patients who received it almost three times more often than was placebo. Quazepam was proved to be safe, with no reports of unexpected or serious adverse experiences.

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