scholarly journals Three Decades of Progress in Sleep Disorders and Sleep Health for Women

2020 ◽  
Vol 4 ◽  
pp. 247028972094187
Author(s):  
Jennifer L. Marsella ◽  
Katherine M. Sharkey
Keyword(s):  
Sleep Disorders ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Future Research ◽  
Sex And Gender ◽  
Sleep Health ◽  
Sleep Behavior ◽  
Obstructive Sleep ◽  
And Gender ◽  
The Impact

Over the past 3 decades, significant strides have been made in the field of sleep medicine for women. The impact of sex and gender on sleep health and sleep disorders received little attention in the early 1990s, but driven by policies ensuring inclusion of women in medical research, more recent studies have identified sex differences in sleep and investigated gender differences in sleep disorders. Nevertheless, disparities remain: diagnosis of sleep disorders, such as obstructive sleep apnea, narcolepsy, and rapid eye movement (REM) sleep behavior disorder are often delayed and underdiagnosed in women. Future research should continue to examine how biological sex and identity across the gender spectrum influence sleep health and sleep disorders, allowing for more personalized health care for all patients.

Autonomic dysfunction and sleep disorders

2017 ◽  
Author(s):  
Giovanna Calandra-Buonaura ◽  
Pietro Cortelli
Keyword(s):  
Sleep Disorders ◽  
Sleep Disorder ◽  
Autonomic Dysfunction ◽  
Sleep Apnea Syndrome ◽  
Rem Sleep Behavior Disorder ◽  
Causal Mechanism ◽  
Sleep Behavior ◽  
Obstructive Sleep ◽  
Autonomic Dysfunctions ◽  
The Impact

Autonomic dysfunctions are frequently associated with sleep disorders, as the autonomic nervous system and sleep are closely related from anatomical, physiological, and neurochemical points of view. The autonomic dysfunctions described in this chapter may result from a common pathogenetic mechanism that affects both the autonomic and the sleep functions, as in fatal familial insomnia, or from a prevalent expression of a primary disorder of autonomic regulation during sleep, as in congenital central hypoventilation syndrome. Alternatively, the autonomic dysfunction may be mainly caused by the sleep disorder, as observed in obstructive sleep apnea syndrome, or the causal mechanism resulting in the association between the autonomic dysfunction and the sleep disorder has yet to be identified with certainty, as in narcolepsy with cataplexy and in REM sleep behavior disorder. The impact of the autonomic dysfunction on health and on patients’ quality of life is also reviewed.

scholarly journals Sleep disorder: a possible cause of attention deficit in children and adolescents with Chiari malformation type II

2009 ◽  
Vol 67 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Paulo Sérgio Azeredo Henriques Filho ◽  
Riccardo Pratesi
Keyword(s):  
Sleep Apnea ◽  
Sleep Disorders ◽  
Attention Deficit ◽  
Chiari Malformation ◽  
Sleep Apnea Syndrome ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Type Ii ◽  
Sleep Behavior ◽  
Apnea Syndrome

BACKGROUND: Attention deficit may be related to sleep disorders in Chiari malformation type II (CMII). Our aim is identify sleep disorders and their specific contribution in attention deficit. METHOD: We selected 24 patients with CM II and 24 without CM II. DSM-IV criteria and a neuropsychological analysis were applied in all. All patients underwent full night polysomnography. RESULTS: 14 CM II patients presented sleep apnea syndrome, REM sleep behavior disorder and periodic limb movement in sleep; six patients without CM II presented sleep apnea syndrome. Among these patients, 12 (six with CM II and six without CM II) presented attention deficit related to the sleep disorders. CONCLUSION: Sleep disorders may impair cognitive functions, as attention, and contribute to poor quality of learning also in patients with CM II.

The impact of imagery rehearsal therapy on dream enactment in a patient with REM-sleep behavior disorder: A case study.

Dreaming ◽  
2021 ◽  
Vol 31 (3) ◽  
pp. 195-206
Author(s):  
Christina Pierpaoli-Parker ◽  
Courtney J. Bolstad ◽  
Erica Szkody ◽  
Amy W. Amara ◽  
Michael R. Nadorff ◽  
...  
Keyword(s):  
Rem Sleep ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Sleep Behavior ◽  
Imagery Rehearsal Therapy ◽  
The Impact ◽  
Imagery Rehearsal

scholarly journals 0789 Decreased Sigma Band Power During NREM Sleep in REM Sleep Behavior Disorder

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A300-A300
Author(s):  
Y Lee ◽  
B Lee
Keyword(s):  
Rem Sleep ◽  
Spectral Power ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Nrem Sleep ◽  
Control Group ◽  
Sleep Behavior ◽  
Band Power ◽  
Potential Biomarker ◽  
Obstructive Sleep

Abstract Introduction REM sleep Behavior Disorder (RBD) is characterized by dream enacting behaviors and a loss of atonia during REM sleep. Early detection of RBD is important because it is considered premonitory symptoms neurodegenerative disorders. In this study, we investigated the slow and fast sigma band power of patients with RBD using frequency analysis. Methods Twenty patients who were diagnosed as RBD according to the ICSD-3 criteria and 20 age-matched controls who underwent polysomnography (PSG) for other sleep disorders (insomnia, snoring) and showed normal to mild obstructive sleep apnea (OSA). NREM sleep EEG data was extracted and N1 sleep data was excluded to minimize arousal artifact. Fast Fourier transform-based spectral power analysis was used to compute the power spectral densities of the EEG in the MATLAB environment. The sigma bands were divided into 2 discrete bands: slow sigma (11 to 13 Hz) and- fast sigma (13 to 15 Hz). Mann-Whitney U test by SPSS was used. Results RBD patients (61.9 ± 7.1 years old; 12 men) had a significantly lower sigma band power than the control group (61.5 ± 1.1 years old; 11 men) in central region (p = 0.028). Particularly, the slow sigma band power showed a bigger difference in all regions except O1 (F3 = 0.017, F4 = 0.027, C3 = 0.004, C4 = 0.009, O2 = 0.017). Conclusion Sigma power was lower in the RBD patients than in the control. It suggests that RBD has impaired cortical activity. Thus, decreased spindle activity during NREM sleep may be a potential biomarker of RBD. Support  

scholarly journals Revisiting the impact of REM sleep behavior disorder on motor progression in Parkinson's disease

2014 ◽  
Vol 20 (4) ◽  
pp. 460-462 ◽  
Author(s):  
Michael Sommerauer ◽  
Philipp O. Valko ◽  
Esther Werth ◽  
Rositsa Poryazova ◽  
Sabrina Hauser ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rem Sleep ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Sleep Behavior ◽  
The Impact

scholarly journals Diagnostic REM sleep muscle activity thresholds in patients with idiopathic REM sleep behavior disorder with and without obstructive sleep apnea

2017 ◽  
Vol 33 ◽  
pp. 23-29 ◽  
Author(s):  
Stuart J. McCarter ◽  
Erik K. St. Louis ◽  
David J. Sandness ◽  
Ethan J. Duwell ◽  
Paul C. Timm ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Rem Sleep ◽  
Muscle Activity ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Sleep Behavior ◽  
Obstructive Sleep

scholarly journals Parkinson's Disease and Sleep/Wake Disturbances

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Todd J. Swick
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Disorders ◽  
Sleep Disturbances ◽  
Treatment Options ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Clinical Aspects ◽  
Nonmotor Symptoms ◽  
Sleep Behavior

Parkinson's disease (PD) has traditionally been characterized by its cardinal motor symptoms of bradykinesia, rigidity, resting tremor, and postural instability. However, PD is increasingly being recognized as a multidimensional disease associated with myriad nonmotor symptoms including autonomic dysfunction, mood disorders, cognitive impairment, pain, gastrointestinal disturbance, impaired olfaction, psychosis, and sleep disorders. Sleep disturbances, which include sleep fragmentation, daytime somnolence, sleep-disordered breathing, restless legs syndrome (RLS), nightmares, and rapid eye movement (REM) sleep behavior disorder (RBD), are estimated to occur in 60% to 98% of patients with PD. For years nonmotor symptoms received little attention from clinicians and researchers, but now these symptoms are known to be significant predictors of morbidity in determining quality of life, costs of disease, and rates of institutionalization. A discussion of the clinical aspects, pathophysiology, evaluation techniques, and treatment options for the sleep disorders that are encountered with PD is presented.

scholarly journals Validation of the REM sleep behavior disorder screening questionnaire in the Czech population

2019 ◽  
Author(s):  
Jitka Bušková ◽  
Pavla Peřinová ◽  
Eva Miletínová ◽  
Petr Dušek ◽  
Evžen Růžička ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Neurodegenerative Disorder ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Screening Tools ◽  
Validity And Reliability ◽  
Periodic Limb Movement Disorder ◽  
Sleep Behavior ◽  
Screening Questionnaire ◽  
Obstructive Sleep

Abstract Background Idiopathic rapid eye movement sleep behavior disorder (RBD) affects 1 – 2% of people over 60 years of age, and presents a high risk of developing a neurodegenerative disorder from the group of synucleinopathies, such as Parkinson’s disease, dementia with Lewy bodies and multiple system atrophy. Therefore, screening tools are needed. In 2007, the RBD screening questionnaire (RBD-SQ) was developed and has been translated into several languages. Aim of the study: The aim of study was to assess the validity and reliability of the Czech version of the RBD-SQ in a mixed population of sleep clinic patients, supplemented by healthy volunteers and RBD patients. Methods Participants included 81 RBD patients, 225 patients with other sleep disorders (obstructive sleep apnea, insomnia, restless legs syndrome and periodic limb movement disorder, other parasomnias, or central hypersomnias including narcolepsy) and 20 healthy volunteers. Results The mean RBD-SQ score in the RBD patients was 9.4 ± 2.8 points, and in the non-RBD group it was 4.5 ± 3.0 (P < 0.0001). Receiver -operator analysis yielded an area under the curve of 0.864, suggesting good diagnostic performance of the scale. When using a cut-off value for positivity of 5 points, sensitivity was 0.89 and specificity was 0.62. Conclusions The Czech version of the RBD-SQ is a sensitive tool for screening for RBD patients and helps to identify subjects for complete clinical workup.

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