Evidence map›Paper›PMID 40420144›Full record

ArticleBMC nursing2025

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

Lamiaa Abd El Hakeem Ali, Maha Ibrahim El Bayoumy Ali, Soheir Mohammed Ahmed Ali, Abdulqadir J Nashwan

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lamiaa Abd El Hakeem AliPsychiatric Mental Health Nursing, Faculty of Nursing, Cairo University, Giza, Egypt. lamiaa.abdelhakim@cu.edu.eg.ORCID http://orcid.org/0009-0004-1688-0230
Maha Ibrahim El Bayoumy AliCommunity Health Nursing Department, Faculty of Nursing, Cairo University, Giza, Egypt.ORCID http://orcid.org/0009-0004-1635-5380
Soheir Mohammed Ahmed AliNursing Administration Department, Faculty of Nursing, Cairo University, Giza, Egypt.ORCID http://orcid.org/0000-0002-2440-1832
Abdulqadir J NashwanNursing Department, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0003-4845-4119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs 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.

methodA 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).

resultsThe 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.

conclusionThe 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.

Indexed as

Artificial intelligenceDigital amnesiaNursing studentsSmartphone dependencySomatic symptoms

Identifiers

PMID40420144
PMCPMC12107735

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.