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Background: Poor sleep quality and internet addiction are significant issues affecting adolescents globally, and Nepal is no exception. Several studies have independently assessed the prevalence and associated factors of poor sleep quality and internet addiction among Nepali adolescents and youth, but the relationship between sleep-related attributes and internet addiction remains unexplored. This study aimed to explore the prevalence and contributing factors of poor sleep quality and internet addiction along with the relationship between sleep quality-related attributes and internet addiction.

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Background: Internet gaming disorder is defined as "Persistent and recurrent use of the internet to engage in games, often with other players, leading to clinically significant impairment or distress." It is a new evolving disorder that affects many life aspects; therefore, it needs further investigation among different population groups. IGD was introduced for the first time in 2013 in the fifth edition of the , and it suggested carrying out further research among different populations.

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Background And Objectives: Social network site addiction is strongly correlated with sleep quality among adolescents. However, the underlying mechanisms driving these relationships require further exploration. This study aims to supplement the understanding of the psychological mechanisms linking social network site addiction and sleep quality by investigating depression as a mediating factor and difficulty describing feelings as a moderating factor.

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The pathophysiology of residual sleepiness in treated obstructive sleep apnoea (OSA) remains poorly understood. Animal models suggest that it may involve neuronal damage due to intermittent hypoxia and sleep fragmentation. In a cohort of 122 continuous positive airway pressure (CPAP) treated OSA patients referred for maintenance of wakefulness test, we explored the determinants of (objective) alertness and those of (subjective) sleepiness assessed by Epworth Sleepiness Scale.

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Objective: This study aims to investigate the prevalence of smartphone addiction, physical activity levels, and depressive symptoms among secondary school students, and to analyze the combined impact of smartphone addiction and physical activity on depressive symptoms.

Methods: A cluster sampling method was employed in two secondary schools in the Jing'an District of Shanghai, China. Univariate analysis was used to compare the prevalence of depressive symptoms across different demographic characteristics.

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