Evidence map›Paper›PMID 42732144›Full record

ArticleSAGE open nursing

Smartphone Addiction as a Predictor of Poor Sleep Quality Among Secondary School Students: A School-Based Cross-Sectional Study.

Mona Gamal Mohmmed, Marwa Ashour Ragab, Nagat Farouk Abolwafa, Asmaa Mustafa Fawzy, Zahra Abdirahman Mahmoud, Howayda Mohammed Ali

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Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mona Gamal MohmmedAssociate Professor of Adult Health Nursing, Rak College of Nursing, RAK Medical and Health Sciences university, United Arab Emirates.ORCID https://orcid.org/0000-0002-7041-444X
Marwa Ashour RagabLecturer of Pediatric Nursing, Faculty of Nursing, Minia University, Egypt.
Nagat Farouk AbolwafaAssistant Professor of Pediatric Nursing, Faculty of Nursing, Minia University, Egypt.
Asmaa Mustafa FawzyLecturer of Family and Community Health Nursing, Faculty of Nursing, Minia University, Egypt.
Zahra Abdirahman MahmoudMigration Statistics, Department of Social Statistics, Somali National Bureau of Statistics, Mogadishu, Somalia.ORCID https://orcid.org/0009-0001-0649-1969
Howayda Mohammed AliAssistant Professor of Pediatric Nursing, Faculty of Nursing, Minia University, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep quality is essential for adolescent health, development, and academic functioning. Increasing smartphone use has raised concerns regarding its potential impact on sleep, particularly among adolescents in understudied populations such as Upper Egypt. Aim: To examine the association between smartphone addiction severity and multidimensional sleep quality among secondary school students in Upper Egypt. Design: A descriptive correlational cross-sectional study. Setting and Sample: The study was conducted in four governmental secondary schools in Minia District, Minia. A multistage stratified random sample of 400 students was recruited from the first, second, and third academic grades, with two classes randomly selected from each grade level. Tools: Data were collected using a structured self-administered questionnaire, the Smartphone Addiction Scale-Short Version (SAS-SV), and the Pittsburgh Sleep Quality Index (PSQI). The SAS-SV demonstrated good internal consistency (α = 0.89), and the PSQI demonstrated acceptable reliability (α = 0.87) in the present sample. Results: Moderate smartphone addiction was reported by 50% of students, while 65% experienced poor sleep quality. Smartphone addiction was positively correlated with poorer sleep quality (r = 0.52, 95% CI: 0.45--0.58, p < 0.001), indicating a large effect size. Hierarchical regression analysis demonstrated that smartphone addiction substantially improved the prediction model, increasing explained variance in sleep quality from 12% to 33% (ΔR Conclusion: Smartphone addiction was highly prevalent and significantly associated with poor sleep quality among secondary school students in Upper Egypt. Given the cross-sectional design, causal inference cannot be established; however, the findings highlight the importance of integrating smartphone addiction screening and sleep health promotion into school nursing practice to support early identification and intervention for at-risk adolescents.

Indexed as

adolescentCircadian rhythmEgyptnursingSecondary school studentSleep qualitySmartphone addiction

Identifiers

PMID42732144
PMCPMC13570035

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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.