Summer schedules affect all ages of sleepers. The student out of term for the summer break to the worker spending more time in outdoor activities given the mild weather lead impact the sleepers’ sleep rest cycle. Research findings have indicated measured advances in both readiness for sleep and sleep times with earlier rise times. The amount of light variability with the summer months for many locations to be of a longer interval, directly corresponds to these advanced sleep timings.

Aim: To describe severe facial disfigurement in a patient with familial Progressive Muscular Dystrophy

(PMD) treated with a Bi-level Positive Airway Pressure (BiPAP) device.

Study design and methods: A 41-year-old female with PMD was treated with BiPAP from the age of 21in

order to improve sleep-disordered breathing and nighttime hypoventilation.

Results: Severe mid face retrogantism was noted with a reverse over jet between upper and lower incisors

of 12 millimeters in centric relation.

Conclusion: We present a rare case of severe facial disfigurement secondary to orthopedic forces from

a BiPAP device in a patient with familial PMD. The simple addition of a forehead or chin support may minimize these changes.

The Mental Health Profile of Etindele Questionnaire (MHPE) offered a new tool for detection  of cognitive decline and mental health. It permits an easy and precise investigation of the early  symptoms of neurodegenerative disease, as well as cognitive decline; for both healthy and unhealthy  population. It is mainly used for sleep disorders. It can be use online, in interview, by phone, by the  participant himself or the therapist, clinician or researcher. Recent published articles demonstrated  that, MHPE allows an efficient collection of data on principles mood disorders like depression,  anxiety and well-being [1-13]. It also allows to investigate early signs of neurological dysfunctions  like sleep disorders, while in the same time it provides sociodemographic measure of the participant  [1,6,8]. Accuracy and utility of Mental Health Profile of Etindele should be validate in other  languages like Spanish, Arabic and English. The global score and categories will be upgraded to  include comorbidities risk factors metabolic diagnosis and obesity, which can clearly impact the  trajectory of diseases and may increase the quality of the current questionnaire. A wide use of this  questionnaire will spread his different applications in the field of psychology, dementia, neurology  and sociology.

Sleep disorders are common in children, especially in children with epileptic disorders. This article reviewed  most recent publications supporting a reciprocal relationship between sleep disorders and childhood epileptic  disorders as well as the underlying mechanisms involved in both disease processes, i.e. similar neuronal  networks in the genesis of sleep and epileptic seizures. Evidence support that sleep disorders can aggravate  Interictal Epileptiform Discharges (IEDs) and nocturnal seizures in children with epilepsy, leading to poor seizure  control and increasing functional disturbance in patients with childhood epileptic disorders; On the other hand,  childhood epileptic disorders and some antiepileptic medications and vagus nerve stimulator can change sleep  quality and architecture of sleep, resulting in an increase in troubled sleep, which can lead to increased sleep  disorders. Recognizing and effectively treating sleep disorders in patients with childhood epileptic disorders can  improve seizure control and overall functioning and vice versa.

Purpose: Comparing the output of two subjective self-evaluation sleep questionnaires commonly used in  adult populations at-risk for sleep disorders, focusing on sleepiness and insomnia symptoms, to automated  analysis of electrocardiography (ECG) data collected during sleep, to measure sleep quality. 

Method: Output of two sleep questionnaires; the Epworth Sleepiness Scale (ESS) and the Bergen Insomnia  Scale (BIS) where compared to the primary data signal, ECG, collected during sleep with a simple wearable  device and analyzed with the Cardiopulmonary Coupling (CPC) algorithm. Based on the objective Sleep Quality  Index (SQI), and the sleep pathology markers, Elevated Low Frequency Coupling Broad-Band (eLFCBB) and  Narrow-Band (eLFCNB), participants were divided into healthy and unhealthy sleepers, and the output of each  subjective questionnaire and the combination of both questionnaires statistically analyzed and compared to the  CPC-output. 

Results: Data collected from 57 obese individuals, when starting a lifestyle program supervised by a primary  care physician, was retrospectively analyzed. Of the 57 individuals, 50 recorded two consecutive nights. When  compared to the objective CPC-output the questionnaires had low sensitivity, specificity and agreement: (1)  ESS; sensitivity 23%, specificity 69% and agreement 51%. (2) BIS; 73%, specificity 43% and agreement 54%.  Combining the questionnaires ESS/BIS had sensitivity 73%, specificity 29% and agreement 46%. 

Conclusion: Wearable devices offer a convenient and cost-effective alternative for more accurate  evaluations of sleep quality complaints than methods previously available. Our results strongly suggest that in  populations at high risk of sleep disorders, questionnaires and objective measurements are likely required to  provide complementary and more comprehensive sleep quality assessments.

The current gold standard for objectively measuring sleep latency, polysomnography (PSG), requires  specialised equipment and trained individuals to administer. As such, PSG is an expensive and cumbersome  procedure, particularly for use in the home environment. Actigraphy devices are a common practical alternative  that can be used in the home environment, but they often underestimate sleep latency. For these reasons, it is  difficult to accurately measure sleep latency outside of the sleep laboratory setting.

This problem has led to the revival of active behavioural devices for measuring sleep latency. Thim is a  small active behavioural device that uses behavioural responses to stimuli to measure the onset of sleep. The  design of Thim is based on previous research with similar devices, which were found to accurately measure  sleep latency. If found to accurately measure sleep onset, Thim could be used for many potential applications,  including facilitating 10-minute power naps and administering a novel, effective treatment for insomnia called  Intensive Sleep Retraining (ISR) in the home environment. This review will highlight current methods for  objectively measuring sleep latency, the limits of commonly-used devices and how active behavioural devices  such as Thim could allow for the accurate measurement of sleep latency in the home environment.

Sleep disorders have been characterized as a public health issue, considering the number of individuals affected, the associated secondary diseases and the direct and indirect costs associated with them. Snoring and sleep apnea stand out among them. AHI is classified as mild (5 <IAH <15), moderate (15 <AHI <30) or severe (30 <AHI). Understanding the profile of apneic patients and analyzing their conditions is extremely important for the characterization of apnea, its social and epidemiological profile in the present day. The diagnosis of sleep of the individual is performed from the Polysomnography examination. The same is proposed to monitor sleep and diagnose their disorders. In the present study, after analyzing 80 reports of the type III polysomnography performed in the home environment, in the first half of 2017, 56% of the patients were male; 29% belonging to the age group between 41 and 50 years; and the most representative rate of AHI (40%) was related to the moderate degree of these events. The AHI profile of patients submitted to type III polysomnography in the home environment is moderate, highlighting the relevance of this finding in both genders studied, and the age range of patients most submitted to the examination was updated.