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How does excessive smartphone use affect sleep patterns and overall sleep quality? 


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Excessive smartphone use has been increasingly linked to negative impacts on sleep patterns and overall sleep quality, affecting individuals across various demographics. Studies have demonstrated a significant relationship between high smartphone use and the incidence of insomnia, with adolescents showing a positive correlation between the extent of smartphone usage and the severity of insomnia symptoms. This relationship is further complicated by the role of personality traits, where individuals with certain traits may experience more pronounced effects on sleep quality due to smartphone use. Among medical students, a moderate positive correlation was found between increasing smartphone usage and worsening sleep quality, highlighting the pervasive impact of smartphone addiction across different populations. In educational settings, the correlation between smartphone addiction, poor sleep, and academic failure has been observed, suggesting a detrimental cycle that affects students' performance. Similarly, a significant relationship between smartphone use and sleep quality disorders in adolescents has been reported, emphasizing the need for awareness and intervention. Quantitative studies have shown that smartphone use in bed significantly affects sleep latency, awake time, and heart rate variability, indicating that the timing and context of smartphone use are critical factors. Medical students, in particular, face a unique challenge, as their smartphone usage for studies and social networking, combined with academic stress, contributes to poor sleep quality. Observational studies have confirmed the correlation between smartphone usage attitudes and sleep quality among students, underscoring the importance of managing smartphone use. Furthermore, the relationship between smartphone use, stress, and insomnia has been established, suggesting that both psychological and behavioral factors contribute to sleep disturbances. A systematic review confirmed the association between smartphone overuse and poor subjective sleep quality, highlighting the need for further research to develop structured interventions. Collectively, these studies underscore the complex interplay between smartphone use, sleep patterns, and overall sleep quality, necessitating a multifaceted approach to address this growing concern.

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Excessive smartphone use in bed significantly impacts sleep latency, awake time, heart rate, and HR variability, leading to poorer sleep quality. Outside of bed, smartphone use does not decrease sleep quality.
Excessive smartphone use is significantly related to sleep quality disorders in adolescents, leading to decreased ability to concentrate and participate in daily activities due to lack of sufficient rest.
Excessive smartphone use disrupts sleep patterns by reducing melatonin production, impacting sleep quality negatively, leading to conditions like insomnia, as shown in the study on public health students.
Excessive smartphone use is associated with poor sleep quality among first-year medical students, leading to increased academic stress and negative impacts on their overall sleep patterns.
Excessive smartphone use can lead to poor sleep quality among high school students, as shown in the study. It is crucial to manage smartphone usage to improve sleep patterns.
Excessive smartphone use is linked to reduced sleep duration, increased sleep distraction, and later bedtime, ultimately impacting overall sleep quality negatively, as per the study findings.
Excessive smartphone use, leading to addiction, moderately correlates with poor sleep quality among Moroccan high school students, affecting their overall sleep patterns negatively.
Excessive smartphone use can lead to insomnia in adolescents, resulting in unfulfilled sleep needs in quantity and quality due to difficulty controlling smartphone usage duration.
Excessive smartphone use correlates with worsening sleep quality, particularly impacting latency and duration, as shown in the study among medical students, indicating a moderate positive relationship between the two.

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