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Prevalence of Nomophobia in University Students: A Systematic Review and Meta-Analysis

Author(s)
Tuco, Kimberly G.  
Universidad Peruana Unión  
Castro Diaz, Sharong Dayan  
Universidad Peruana Unión  
Soriano Moreno, David  
Universidad Peruana Unión  
Benítes-Zapata, Vicente A.
Universidad San Ignacio de Loyola
Date Issued
31 de enero de 2023
Type
Article
Publisher
Korean Society of Medical Informatics
Volume
29
Issue
1
Series/Report No.
Healthcare Informatics Research
Contained in
Healthcare Informatics Research
Start Page
40
End Page
53
DOI
10.4258/hir.2023.29.1.40
ISSN
2093-3681
Abstract
Objectives: The aim of this study was to assess the prevalence of nomophobia in university students.Methods: A systematic search was conducted of the following databases: Web of Science/ Core Collection, Scopus, PubMed, Embase, and Ovid/ MEDLINE until March 2021. Cross-sectional studies reporting the prevalence of nomophobia in undergraduate or postgraduate university students that assessed nomophobia with the 20-item Nomophobia Questionnaire (NMP-Q) tool were included. Study selection, data extraction, and risk of bias assessment were performed in duplicate. A meta-analysis of proportions was performed using a random-effects model. Heterogeneity was assessed using sensitivity analysis according to the risk of bias, and subgrouping by country, sex, and major.Results: We included 28 cross-sectional studies with a total of 11,300 participants from eight countries, of which 23 were included in the meta-analysis. The prevalence of mild nomophobia was 24% (95% confidence interval [CI], 20%–28%; I2 = 95.3%), that of moderate nomophobia was 56% (95% CI, 53%–60%; I2 = 91.2%), and that of severe nomophobia was 17% (95% CI, 15%–20%; I2 = 91.7%). Regarding countries, Indonesia had the highest prevalence of severe nomophobia (71%) and Germany had the lowest (3%). The prevalence was similar according to sex and major.Conclusions: We found a high prevalence of moderate and severe nomophobia in university students. Interventions are needed to prevent and treat this problem in educational institutions.
Keywords

Prevalence

Meta-analysis

Students

Universities

Technology Addiction

Metrics
Red de relaciones
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