Ali Lamiaa Abd El Hakeem, Ali Maha Ibrahim El Bayoumy, Ali Soheir Mohammed Ahmed, Nashwan Abdulqadir J
Psychiatric Mental Health Nursing, Faculty of Nursing, Cairo University, Giza, Egypt.
Community Health Nursing Department, Faculty of Nursing, Cairo University, Giza, Egypt.
BMC Nurs. 2025 May 26;24(1):599. doi: 10.1186/s12912-025-03228-0.
As we advance into the digital era, the latest challenge in smartphone technology is integrating artificial intelligence applications, which have recently been incorporated into learning environments. However, the intensified engagement with these devices has raised concerns about potential issues among nursing students. This study aimed to assess the relationship between Smartphone Dependency, Digital Amnesia, and Somatic Symptoms among nursing students who face Artificial Intelligence challenges.
A cross-sectional study was conducted in three public and three governmental universities in Egypt from July 1st to July 31st. A convenient sample of 495 nursing students participated in the study. Four instruments were used for data collection: The artificial intelligence usage questionnaire, the digital amnesia scale, the test of mobile phone dependence (TMD), and the somatic symptom scale-88 (SSS-88).
The findings indicated a prevalence of low to moderate smartphone dependency, moderate digital amnesia, and a very high level of somatic symptoms among nursing students. Besides, AI usage and smartphone dependency had a statistically significant relation. As well, there was a statistically significant relation between smartphone dependency and both digital amnesia and somatic symptoms, P-value > 0.001.
The findings revealed that the role of AI presented challenges among nursing students and indicated a statistically significant relation between AI usage and smartphone dependency among nursing students (P < 0.000). Additionally, there was a statistically significant relation between smartphone dependency and both digital amnesia and somatic symptoms (P < 0.001, P < 0.000), respectively.
The findings of this study highlight the crucial role of key stakeholders, particularly nursing educators, in implementing targeted educational interventions. These include integrating digital well-being into nursing curricula and promoting practices such as digital breaks/digital detox periods in the classroom. Such strategies aim to encourage mindful smartphone use and help prevent comorbidities like dependency, digital amnesia, and somatic symptoms.
Not applicable.
随着我们步入数字时代，智能手机技术面临的最新挑战是集成人工智能应用，这些应用最近已被融入学习环境。然而，与这些设备互动的增加引发了对护理专业学生潜在问题的担忧。本研究旨在评估面临人工智能挑战的护理专业学生中智能手机依赖、数字遗忘症和躯体症状之间的关系。
于7月1日至7月31日在埃及的三所公立大学和三所政府大学进行了一项横断面研究。抽取了495名护理专业学生作为便利样本参与研究。使用了四种工具进行数据收集：人工智能使用问卷、数字遗忘症量表、手机依赖测试（TMD）和躯体症状量表-88（SSS-88）。
研究结果表明，护理专业学生中存在低至中度的智能手机依赖、中度数字遗忘症以及非常高的躯体症状发生率。此外，人工智能使用与智能手机依赖之间存在统计学上的显著关系。同样，智能手机依赖与数字遗忘症和躯体症状之间也存在统计学上的显著关系，P值>0.001。
研究结果显示，人工智能的作用给护理专业学生带来了挑战，并表明护理专业学生中人工智能使用与智能手机依赖之间存在统计学上的显著关系（P<0.000）。此外，智能手机依赖与数字遗忘症和躯体症状之间也分别存在统计学上的显著关系（P<0.001，P<0.000）。
本研究结果凸显了关键利益相关者，特别是护理教育工作者，在实施有针对性的教育干预措施方面的关键作用。这些措施包括将数字健康纳入护理课程，并在课堂上推广诸如数字休息/数字排毒期等做法。此类策略旨在鼓励谨慎使用智能手机，并有助于预防诸如依赖、数字遗忘症和躯体症状等合并症。
不适用。
