Department of Psychology, College of Education, King Saud University, Riyadh 11451, Saudi Arabia.
The Research Council, Sultanate of Oman, Muscat 123, Oman.
Int J Environ Res Public Health. 2022 Aug 22;19(16):10439. doi: 10.3390/ijerph191610439.
The current study aims to identify the level and proportions of smartphone addiction, and academic procrastination among university students in the light of the Corona pandemic; identify the differences in smartphone addiction, academic procrastination, and quality of life according to gender and stage of study; and revealing the predictive ability of academic procrastination and quality of life for smartphone addiction. : 556 male and female students from Saudi universities participated in the study, whose ages ranged from 18 to 52 years. Measures of academic procrastination and quality of life were used, in addition to the Italian scale of smartphone addiction, which was translated and checked for validity and reliability. : The results revealed that 37.4% of the sample were addicted to smartphone use, while 7.7% had a high level of procrastination, and 62.8% had an average level of procrastination. The results did not show statistically significant differences in smartphone addiction and quality of life according to gender and educational stage, while there were statistically significant differences in academic procrastination according to gender in favor of males, and according to stage of education in favor of undergraduate students. The results also revealed a statistically significant positive relationship between academic procrastination and smartphone addiction, and a statistically significant negative relationship between smartphone addiction and quality of life. A negative relationship between quality of life and academic procrastination was found. The results also revealed that addiction to smartphones could be predicted through academic procrastination and quality of life.
当前的研究旨在根据新冠疫情的情况,确定大学生的智能手机成瘾程度和比例,以及学业拖延程度;根据性别和学习阶段,确定智能手机成瘾、学业拖延和生活质量的差异;并揭示学业拖延和生活质量对智能手机成瘾的预测能力。:研究共 556 名来自沙特各大学的男女学生参与,年龄在 18 至 52 岁之间。使用了学业拖延和生活质量的测量方法,此外还使用了意大利版的智能手机成瘾量表,该量表经过翻译和验证了有效性和可靠性。:结果显示,该样本中有 37.4%的人存在智能手机使用成瘾,7.7%的人存在高度拖延,62.8%的人存在平均拖延程度。结果显示,智能手机成瘾和生活质量在性别和教育阶段上没有统计学上的显著差异,而学业拖延在性别上存在统计学上的显著差异,男性更为明显,在教育阶段上存在统计学上的显著差异,本科生更为明显。结果还显示,学业拖延与智能手机成瘾之间存在统计学上的正相关关系,智能手机成瘾与生活质量之间存在统计学上的负相关关系。生活质量与学业拖延之间存在负相关关系。结果还显示,智能手机成瘾可以通过学业拖延和生活质量来预测。
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