Sleep Disturbances and Sleep Assessment Methods in PTSD

2018 ◽  
pp. 193-200 ◽  
Author(s):  
Anne Germain ◽  
Rebecca Campbell ◽  
Ashlee McKeon
Keyword(s):  
Sleep Disturbances ◽  
Assessment Methods ◽  
Sleep Assessment

The Military Service Sleep Assessment: an instrument to assess factors precipitating sleep disturbances in U.S. military personnel

2021 ◽  
Author(s):  
Vincent Mysliwiec ◽  
Kristi E. Pruiksma ◽  
Matthew S. Brock ◽  
Casey Straud ◽  
Daniel J. Taylor ◽  
...  
Keyword(s):  
Military Personnel ◽  
Military Service ◽  
Sleep Disturbances ◽  
Sleep Assessment ◽  
The Military

scholarly journals Sleep Disorders in Patients with Psoriatic Arthritis

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Mariana Castanho Risso
Keyword(s):  
Metabolic Syndrome ◽  
Psoriatic Arthritis ◽  
Sleep Disorders ◽  
Sleep Disturbances ◽  
Public Health Issue ◽  
Berlin Questionnaire ◽  
Sleep State ◽  
Simultaneous Control ◽  
Sleep Assessment

Sleep disorders are currently a major public health issue in Brazil, due to its high incidence and difficult diagnosis, identification of type and treatment.1 Rheumatic disorders have been associated with changes in sleep state, which cause reduction in quality of life, eventually reduced by the chronic inflammatory process of the primary disease.2–6 This study aimed to identify and describe the existence of sleep disturbances in patients with psoriatic arthritis, as well as to verify possible association of sleep disorders with metabolic syndrome and other parameters in these individuals. Thirty one patients with psoriatic arthritis from a Rheumatology Outpatient Clinic were analyzed. Three sleep assessment questionnaires were employed: Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (EPW) and The Berlin Questionnaire (BQ). Sleep walking or talking were also inquired as a complementary scale. Sociodemographic variables and the presence of hypertension, obesity, diabetes, dyslipidemia and metabolic syndrome have also been investigated. On average, sleep disorders were found in 54.83% of the studied patients (64.5% from PSQI, 51.6% from EPW and 48.4% from Berlin) and around 70% of sleep disorders in patients with simultaneous diagnosis of metabolic syndrome and psoriatic arthritis. From these results, it is notable that sleep disorders are common in patients diagnosed with psoriatic arthritis. Thus, this pathology demands greater attention in clinical practice and search for ideal and complete therapy, in addition to simultaneous control of arthritis, sleep, hypertension, dyslipidemia and obesity.

Sleep disorders in anti-NMDAR encephalitis

Neurology ◽  
2020 ◽  
Vol 95 (6) ◽  
pp. e671-e684 ◽  
Author(s):  
Helena Ariño ◽  
Amaia Muñoz-Lopetegi ◽  
Eugenia Martinez-Hernandez ◽  
Thaís Armangue ◽  
Mireia Rosa-Justicia ◽  
...  
Keyword(s):  
Sleep Disorders ◽  
Sleep Disturbances ◽  
Disease Onset ◽  
Nrem Sleep ◽  
Acute Stage ◽  
Cognitive Changes ◽  
Confusional Arousals ◽  
Nmda Receptor Encephalitis ◽  
Sleep Assessment ◽  
Normal Sleep

ObjectiveTo describe the sleep disorders in anti–NMDA receptor encephalitis (anti-NMDARe).MethodsPatients recovering from anti-NMDARe were invited to participate in a prospective observational single-center study including comprehensive clinical, video-polysomnography (V-PSG) sleep assessment, and neuropsychological evaluation. Age- and sex-matched healthy participants served as controls.ResultsEighteen patients (89% female, median age 26 years, interquartile range [IQR] 21–29 years) and 21 controls (81% female, median age 23 years, IQR 18–26 years) were included. In the acute stage, 16 (89%) patients reported insomnia and 2 hypersomnia; nightmares occurred in 7. After the acute stage, 14 (78%) had hypersomnia. At study admission (median 183 days after disease onset, IQR 110–242 days), 8 patients still had hypersomnia, 1 had insomnia, and 9 had normal sleep duration. Patients had more daytime sleepiness than controls (higher Barcelona Sleepiness Index, p = 0.02, and Epworth Sleepiness Score, p = 0.04). On V-PSG, sleep efficiency was similar in both groups, but patients more frequently had multiple and longer confusional arousals in non-REM (NREM) sleep (videos provided). In addition, 13 (72%) patients had cognitive deficits; 12 (67%) had psychological, social, or occupational disability; and 33% had depression or mania. Compared with controls, patients had a higher body mass index (median 23.5 [IQR 22.3–30.2] vs 20.5 [19.1–21.1] kg/m2; p = 0.007). Between disease onset and last follow-up, 14 (78%) patients developed hyperphagia, and 6 (33%) developed hypersexuality (2 requiring hospitalization), all associated with sleep dysfunction.ConclusionsSleep disturbances are frequent in anti-NMDARe. They show a temporal pattern (predominantly insomnia at onset; hypersomnia during recovery), are associated with behavioral and cognitive changes, and can occur with confusional arousals during NREM sleep.

scholarly journals Subjective Assessment of Sleep in Infantile Autism: A Comparative Study

2019 ◽  
Vol 9 (2) ◽  
pp. 12
Author(s):  
Maydelin Alfonso-Alfonso ◽  
Lilia Morales-Chacón ◽  
Justa González-Naranjo
Keyword(s):  
Sleep Disturbances ◽  
Children With Autism ◽  
Subjective Assessment ◽  
Cross Sectional Study ◽  
Control Group ◽  
Test Results ◽  
Sleep Habits ◽  
Cross Sectional ◽  
Sleep Breathing Disorders ◽  
Sleep Assessment

Sleep disturbances are very common in children with autism; it is for this reason that instruments that facilitate their evaluation are necessary. Objectives: Perform sleep assessment from a subjective perspective in a group of children with primary autism and compare them with a control group, using the Sleep Habits in Children Survey (CSHQ), with the purpose of determining sleep disturbances according to the subscales used. Method: A prospective cross-sectional study was conducted in a group of 21 patients with primary autism. For the evaluation of sleep disturbances, we chose the CSHQ survey. The differences between the independent groups were calculated by applying a Mann–Whitney U test. Results: In the group of children with autism, higher values of the total scale were observed in comparison with the control group (p = 0.00) which It is congruent with a large sleep dysfunction. Significant differences were observed for all subscales (p = 0.00), with the exception of the subscale number 7. Conclusions: A high presence of sleep disturbances was observed in children with primary autism, with the exception of sleep breathing disorders, which did not show significant differences between the groups.

scholarly journals A survey on sleep assessment methods

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4849 ◽  
Author(s):  
Vanessa Ibáñez ◽  
Josep Silva ◽  
Omar Cauli
Keyword(s):  
Literature Review ◽  
Validation Studies ◽  
Assessment Methods ◽  
Detection Methods ◽  
Sleep Diary ◽  
Self Assessment ◽  
Sleep Assessment ◽  
Contact Devices ◽  
Patient’S Perception ◽  
Sleep Questionnaires

Purpose A literature review is presented that aims to summarize and compare current methods to evaluate sleep. Methods Current sleep assessment methods have been classified according to different criteria; e.g., objective (polysomnography, actigraphy…) vs. subjective (sleep questionnaires, diaries…), contact vs. contactless devices, and need for medical assistance vs. self-assessment. A comparison of validation studies is carried out for each method, identifying their sensitivity and specificity reported in the literature. Finally, the state of the market has also been reviewed with respect to customers’ opinions about current sleep apps. Results A taxonomy that classifies the sleep detection methods. A description of each method that includes the tendencies of their underlying technologies analyzed in accordance with the literature. A comparison in terms of precision of existing validation studies and reports. Discussion In order of accuracy, sleep detection methods may be arranged as follows: Questionnaire < Sleep diary < Contactless devices < Contact devices < Polysomnography A literature review suggests that current subjective methods present a sensitivity between 73% and 97.7%, while their specificity ranges in the interval 50%–96%. Objective methods such as actigraphy present a sensibility higher than 90%. However, their specificity is low compared to their sensitivity, being one of the limitations of such technology. Moreover, there are other factors, such as the patient’s perception of her or his sleep, that can be provided only by subjective methods. Therefore, sleep detection methods should be combined to produce a synergy between objective and subjective methods. The review of the market indicates the most valued sleep apps, but it also identifies problems and gaps, e.g., many hardware devices have not been validated and (especially software apps) should be studied before their clinical use.

scholarly journals Feasibility and Acceptability of Wearable Sleep Electroencephalogram Device Use in Adolescents: Observational Study (Preprint)

2020 ◽  
Author(s):  
Jessica R Lunsford-Avery ◽  
Casey Keller ◽  
Scott H Kollins ◽  
Andrew D Krystal ◽  
Leah Jackson ◽  
...  
Keyword(s):  
Sleep Disturbances ◽  
Life Stage ◽  
Population Level ◽  
Sleep Eeg ◽  
Healthy Behaviors ◽  
Sleep Assessment ◽  
Acceptable Method ◽  
Sleep Recording ◽  
Device Use ◽  
User Friendly

BACKGROUND Adolescence is an important life stage for the development of healthy behaviors, which have a long-lasting impact on health across the lifespan. Sleep undergoes significant changes during adolescence and is linked to physical and psychiatric health; however, sleep is rarely assessed in routine health care settings. Wearable sleep electroencephalogram (EEG) devices may represent user-friendly methods for assessing sleep among adolescents, but no studies to date have examined the feasibility and acceptability of sleep EEG wearables in this age group. OBJECTIVE The goal of the research was to investigate the feasibility and acceptability of sleep EEG wearable devices among adolescents aged 11 to 17 years. METHODS A total of 104 adolescents aged 11 to 17 years participated in 7 days of at-home sleep recording using a self-administered wearable sleep EEG device (Zmachine Insight+, General Sleep Corporation) as well as a wristworn actigraph. Feasibility was assessed as the number of full nights of successful recording completed by adolescents, and acceptability was measured by the wearable acceptability survey for sleep. Feasibility and acceptability were assessed separately for the sleep EEG device and wristworn actigraph. RESULTS A total of 94.2% (98/104) of adolescents successfully recorded at least 1 night of data using the sleep EEG device (mean number of nights 5.42; SD 1.71; median 6, mode 7). A total of 81.6% (84/103) rated the comfort of the device as falling in the comfortable to mildly uncomfortable range while awake. A total of 40.8% (42/103) reported typical sleep while using the device, while 39.8% (41/103) indicated minimal to mild device-related sleep disturbances. A minority (32/104, 30.8%) indicated changes in their sleep position due to device use, and very few (11/103, 10.7%) expressed dissatisfaction with their experience with the device. A similar pattern was observed for the wristworn actigraph device. CONCLUSIONS Wearable sleep EEG appears to represent a feasible, acceptable method for sleep assessment among adolescents and may have utility for assessing and treating sleep disturbances at a population level. Future studies with adolescents should evaluate strategies for further improving usability of such devices, assess relationships between sleep EEG–derived metrics and health outcomes, and investigate methods for incorporating data from these devices into emerging digital interventions and applications. CLINICALTRIAL ClinicalTrials.gov NCT03843762; https://clinicaltrials.gov/ct2/show/NCT03843762

scholarly journals Feasibility and Acceptability of Wearable Sleep Electroencephalogram Device Use in Adolescents: Observational Study

10.2196/20590 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e20590
Author(s):  
Jessica R Lunsford-Avery ◽  
Casey Keller ◽  
Scott H Kollins ◽  
Andrew D Krystal ◽  
Leah Jackson ◽  
...  
Keyword(s):  
Sleep Disturbances ◽  
Life Stage ◽  
Population Level ◽  
Sleep Eeg ◽  
Healthy Behaviors ◽  
Sleep Assessment ◽  
Acceptable Method ◽  
Sleep Recording ◽  
Device Use ◽  
User Friendly

Background Adolescence is an important life stage for the development of healthy behaviors, which have a long-lasting impact on health across the lifespan. Sleep undergoes significant changes during adolescence and is linked to physical and psychiatric health; however, sleep is rarely assessed in routine health care settings. Wearable sleep electroencephalogram (EEG) devices may represent user-friendly methods for assessing sleep among adolescents, but no studies to date have examined the feasibility and acceptability of sleep EEG wearables in this age group. Objective The goal of the research was to investigate the feasibility and acceptability of sleep EEG wearable devices among adolescents aged 11 to 17 years. Methods A total of 104 adolescents aged 11 to 17 years participated in 7 days of at-home sleep recording using a self-administered wearable sleep EEG device (Zmachine Insight+, General Sleep Corporation) as well as a wristworn actigraph. Feasibility was assessed as the number of full nights of successful recording completed by adolescents, and acceptability was measured by the wearable acceptability survey for sleep. Feasibility and acceptability were assessed separately for the sleep EEG device and wristworn actigraph. Results A total of 94.2% (98/104) of adolescents successfully recorded at least 1 night of data using the sleep EEG device (mean number of nights 5.42; SD 1.71; median 6, mode 7). A total of 81.6% (84/103) rated the comfort of the device as falling in the comfortable to mildly uncomfortable range while awake. A total of 40.8% (42/103) reported typical sleep while using the device, while 39.8% (41/103) indicated minimal to mild device-related sleep disturbances. A minority (32/104, 30.8%) indicated changes in their sleep position due to device use, and very few (11/103, 10.7%) expressed dissatisfaction with their experience with the device. A similar pattern was observed for the wristworn actigraph device. Conclusions Wearable sleep EEG appears to represent a feasible, acceptable method for sleep assessment among adolescents and may have utility for assessing and treating sleep disturbances at a population level. Future studies with adolescents should evaluate strategies for further improving usability of such devices, assess relationships between sleep EEG–derived metrics and health outcomes, and investigate methods for incorporating data from these devices into emerging digital interventions and applications. Trial Registration ClinicalTrials.gov NCT03843762; https://clinicaltrials.gov/ct2/show/NCT03843762

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