A machine learning model can effectively predict a patient's risk for a sleep disorder using demographic and lifestyle data, physical exam results and laboratory values, according to a new study ...
Insomnia is a prevalent sleep disorder characterized by difficulties in falling asleep, maintaining sleep, or early awakening, which significantly impair both the physical and mental health of ...
Affecting as many as 30% of cancer survivors, chronic insomnia can be effectively treated with intensive cognitive-behavioral techniques, but such methods are time-consuming, costly, and limited by ...
Insomnia disorder (ID) causes both night-time and daytime symptoms. Night-time symptoms include subjective difficulties initiating and maintaining sleep and early morning awakenings, whereas fatigue, ...
Introduction Cannabis use is common in the USA and is associated with adverse outcomes across many domains, including sleep ...
Insomnia affects roughly 10% of the population. Those who suffer from this sleep disorder constitute a wide variety of personalities and family histories. The inconsistent pattern among these patients ...
This Journal feature begins with a case vignette highlighting a common clinical problem. Evidence supporting various strategies is then presented, followed by a review of formal guidelines, when they ...
Many older adults experience insomnia, which can be due to mental health issues, medical conditions, and lifestyle changes. Treatment may involve improving sleep habits, therapy, and medication. Some ...
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