Smartphone dependency, digital amnesia, and somatic symptoms among nursing students: the challenge of artificial intelligence.

IF 3.1 2区 医学 Q1 NURSING
Lamiaa Abd El Hakeem Ali, Maha Ibrahim El Bayoumy Ali, Soheir Mohammed Ahmed Ali, Abdulqadir J Nashwan
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引用次数: 0

Abstract

Background: 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.

Method: 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).

Results: 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.

Conclusion: 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.

Recommendations: 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.

Clinical trial number: Not applicable.

护理专业学生的智能手机依赖、数字健忘症和躯体症状:人工智能的挑战。
背景:随着我们进入数字时代,智能手机技术的最新挑战是将人工智能应用程序集成到学习环境中。然而,加强与这些设备的接触已经引起了对护理学生潜在问题的关注。本研究旨在评估面临人工智能挑战的护理专业学生智能手机依赖、数字健忘症和躯体症状之间的关系。方法:于7月1日至7月31日在埃及3所公立大学和3所公立大学进行横断面研究。495名护理专业学生参与了本研究。采用人工智能使用问卷、数字失忆症量表、手机依赖测试(TMD)和躯体症状量表-88 (SSS-88)四种工具进行数据收集。结果:研究结果表明,护生普遍存在低至中度智能手机依赖、中度数字健忘症和非常高水平的躯体症状。此外,人工智能的使用与智能手机的依赖有统计学意义。同样,智能手机依赖与数字健忘症和躯体症状之间存在统计学上显著的关系,p值为0.001。结论:研究结果显示,人工智能的作用给护生带来了挑战,并表明人工智能使用与护生智能手机依赖之间存在统计学上的显著关系(P建议:本研究的结果强调了关键利益相关者,特别是护理教育者,在实施有针对性的教育干预方面的关键作用。这些措施包括将数字健康纳入护理课程,并在课堂上推广数字休息/数字排毒期等做法。这些策略旨在鼓励有意识地使用智能手机,并帮助预防依赖、数字健忘症和躯体症状等合并症。临床试验号:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Nursing
BMC Nursing Nursing-General Nursing
CiteScore
3.90
自引率
6.20%
发文量
317
审稿时长
30 weeks
期刊介绍: BMC Nursing is an open access, peer-reviewed journal that considers articles on all aspects of nursing research, training, education and practice.
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