智能技术的使用对自闭症谱系障碍患者睡眠质量的影响:一项混合方法调查

Mohamed Abouzed, Basem Salama, Amgad Gabr, Khaled A. Elag, Mahmoud Soliman, Nisrin Elsaadouni, N. Elzahab
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摘要

睡眠障碍在自闭症谱系障碍(ASD)患者中很常见,会对他们的日常功能和核心症状产生负面影响。随着智能技术的使用不断增加,了解这些设备如何影响自闭症谱系障碍患者的睡眠质量至关重要。本研究的目的是探讨智能技术的使用与自闭症谱系障碍患者睡眠质量之间的关系。83 名年龄在 8 岁至 25 岁之间的 ASD 患者使用匹兹堡睡眠质量指数(Pittsburgh Sleep Quality Index)对其睡眠质量进行了评估。此外,还收集了有关智能技术使用模式和相关协变量的信息。对数据进行了相关分析和回归分析。结果发现,较差的睡眠质量得分与总屏幕时间(r = 0.42,p < 0.001)、睡前技术使用(r = 0.51,p < 0.001)、游戏(r = 0.32,p = 0.003)和社交媒体使用(r = 0.29,p = 0.008)之间存在显著的正相关。即使在控制了年龄、性别和自闭症严重程度之后,睡前使用科技仍可显著预测较差的睡眠质量(β = 0.32,p = 0.006)。本研究结果强调了智能科技的使用(尤其是睡前使用)与自闭症患者较差的睡眠质量之间的显著关联。这些结果强调了制定循证干预措施和指南的重要性,以促进该人群养成健康的睡眠习惯并减轻接触科技的负面影响。
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Impact of smart technology use on sleep quality in individuals with autism spectrum disorder: a mixed-methods investigation
Sleep disturbances are common among individuals with autism spectrum disorder (ASD) and can have a negative impact on their daily functioning and core symptoms. As the use of smart technologies continues to rise, it is crucial to understand how these devices affect the sleep quality of individuals with ASD.The objective of this study was to examine the relationship between the use of smart technology and sleep quality in individuals with ASD.A mixed-methods approach was employed, combining both quantitative and qualitative data collection techniques. A sample of 83 individuals with ASD, aged between 8 and 25 years, assessed their sleep quality using the Pittsburgh Sleep Quality Index. Additionally, information regarding patterns of smart technology use and relevant covariates was collected. Correlation and regression analyses were conducted to analyze the data. Furthermore, semi-structured interviews were conducted with a subset of participants and their caregivers.Significant positive correlations were found between poorer sleep quality scores and total screen time (r = 0.42, p < 0.001), pre-bedtime technology use (r = 0.51, p < 0.001), gaming (r = 0.32, p = 0.003), and social media use (r = 0.29, p = 0.008). Pre-bedtime technology use was a significant predictor of poorer sleep quality (β = 0.32, p = 0.006), even after controlling for age, gender, and ASD severity.The findings of this study emphasize the significant associations between the use of smart technology, particularly before bedtime, and poorer sleep quality in individuals with ASD. These results underscore the importance of developing evidence-based interventions and guidelines to promote healthy sleep habits and mitigate the negative effects of technology exposure in this population.
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