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Insomnia, characterized by difficulty in initiating or maintaining sleep, early morning awakenings or non-restorative sleep despite adequate sleep opportunity, is a common yet often underdiagnosed and undertreated condition in older adults, with …
Surveys play a vital role in both routine clinical practice and clinical research by capturing patient-reported outcomes. Various types of surveys exist, with paper-based and web-based formats being the most prevalent. The increasing availability …
This study explored the molecular basis of insomnia and sleep deprivation through comprehensive genomic and network analyses. We retrieved microarray expression data from 26 Homo sapiens datasets in the Gene Expression Omnibus (GEO). Differential …
Sleep quality is a fundamental determinant of psychological well-being, yet individuals with Autism Spectrum Disorder (ASD) frequently experience substantial sleep disturbances that may intensify existing mental health vulnerabilities. This …
Breast cancer (BC) ranks second in terms of cancer-related fatalities among women, which is also the most prevalent cancer in women. Breast cancer patients often experience sleep disturbances, which worsen during cancer treatment [ 1 ]. These sleep …
Cardiovascular disease has become a major global public health challenge and the leading cause of death, accounting for 17.9 million deaths each year [ 1 ]. Among these deaths, over half, specifically 9.4 million, are directly attributable to …
Obesity is a chronic, progressive, and relapsing condition characterized by increasing global prevalence, heightened morbidity and mortality rates, and diminished quality of life. According to the Global Burden of Disease Study 2015, the global …
Chronotype refers to an individual’s preferred timing for sleep and activity, determined by their internal circadian rhythm, and is typically categorized into morning-type (MT), evening-type (ET), and intermediate-type (IT) profiles [ 1 ]. These …
Pilot fatigue and the Window of Circadian Low (WOCL) gained unprecedented public attention following the aviation crisis of November–December 2025, yet their scientific basis remains poorly understood. This article synthesizes evidence from …
Excessive daytime sleepiness (EDS) is characterized by feeling sleepy and/or falling asleep during major wake period, when one is expected to maintain wakefulness and alertness [ 1 ]. It is caused by sleep deprivation and sleep disorders and is an …
Insomnia is the most common sleep disorder and is a risk factor for both mental illnesses and physical diseases, making it a significant societal issue. Early detection and therapeutic intervention have been shown to improve long-term outcomes.
Sleep-breathing disturbances, otherwise known as Obstructive Sleep Apnea (OSA) is identified as a substantial physiological and mental health issue affecting the quality of sleep. According to the 10-year bibliometric analysis (2011–2020) given by …
Sleep is vital for human health, affecting nearly all body systems and tissues. Sleep is closely related to the release of certain chemicals in several regions of the brain. These chemicals include commonly known neurotransmitters and hormones …
Historically, it was Constantin von Economo who first identified sleep-associated brain regions, linking lesions in the anterior hypothalamus to insomnia. Later experimental work in animals confirmed the preoptic area’s (POA’s) role in sleep …
Poor sleep quality (PSQ) is a subjective perception of sleep that is unsatisfactory or fails to meet an individual's expectations and can lead to feelings of fatigue, irritability, and impaired daytime functioning [ 1 , 2 ]. It is particularly …
Sleep is recognized as one of the "big three" health behaviors—the other two being physical exercise and diet—linked to the mental and physical health and well-being of emerging adults [ 1 ], with its significance being most apparent during a …
The study utilizes a decision tree machine learning algorithm to identify key predictors of sleep quality in women with PCOS. The model achieved a high predictive accuracy of 93.9%, demonstrating the effectiveness of decision tree analysis in …