Alam Aftab, Alshakhsi Sameha, Al-Thani Dena, Ali Raian
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
PeerJ Comput Sci. 2023 Mar 27;9:e1261. doi: 10.7717/peerj-cs.1261. eCollection 2023.
The proliferation of smartphones, accompanied by internet facilities, has contributed to a decrease in sleep quality over the last decades. It has been revealed that excessive internet usage impacts the physical and mental health of smartphone users, while personality traits (PT) could play a role in developing internet addictions and preventing their negative effects. The objective of the present study is to assess the role of PT and smartphone usage in sleep quality.
The sample comprised 269 participants, 55% females, within the age range of 15-64 years. We objectively collected one-week smartphone apps usage data from the participants. They also responded to demographics and the PT (BFI-10) questionnaires. The usage data of smartphone apps were processed to calculate smartphone usage amounts and sleep variables, including sleep duration, sleep distraction, sleeping time, and wake-up time. The data were analyzed using the correlation coefficient and regression analyses.
The results indicated that more smartphone usage was associated with reduced sleep duration, increased sleep distraction, and later bedtime. Furthermore, smartphone users with the conscientiousness trait had a longer sleep duration, earlier sleeping time, less sleep distraction, and earlier wakeablity. Sleep distraction was positively associated with openness. Extraversion and neuroticism were found to be positive predictors of early wakeablity. Neuroticism had a negative association with early wakeablity. Finally, the implications of the study have been discussed.
Our study's usage of data that was acquired objectively has strong methodological qualities. The present study is the first to contribute to the literature on the role of PT and objectively measured smartphone usage in the prediction of sleep quality. We found that smartphone use and sleep variables are associated with PT. Other scholars can use our dataset for benchmarking and future comparisons.
在过去几十年中，智能手机的普及以及互联网设施的发展导致了睡眠质量的下降。研究表明，过度使用互联网会影响智能手机用户的身心健康，而人格特质可能在网络成瘾的形成及其负面影响的预防中发挥作用。本研究的目的是评估人格特质和智能手机使用对睡眠质量的影响。
样本包括269名参与者，年龄在15 - 64岁之间，其中55%为女性。我们客观收集了参与者一周内智能手机应用的使用数据。他们还回答了人口统计学和人格特质（BFI - 10）问卷。对智能手机应用的使用数据进行处理，以计算智能手机使用量和睡眠变量，包括睡眠时间、睡眠干扰、入睡时间和起床时间。使用相关系数和回归分析对数据进行分析。
结果表明，更多的智能手机使用与睡眠时间缩短、睡眠干扰增加和就寝时间推迟有关。此外，具有尽责性特质的智能手机用户睡眠时间更长、入睡时间更早、睡眠干扰更少且更容易早起。睡眠干扰与开放性呈正相关。外向性和神经质是早起的正向预测因子。神经质与早起呈负相关。最后，讨论了本研究的意义。
我们的研究对客观获取的数据的使用具有很强的方法学质量。本研究首次为关于人格特质和客观测量的智能手机使用在预测睡眠质量中的作用的文献做出了贡献。我们发现智能手机使用和睡眠变量与人格特质相关。其他学者可以使用我们的数据集进行基准测试和未来比较。
