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dc.contributor.authorLazo-Caparros, María Dolores
dc.contributor.authorGómez-Urquiza, Jose Luis 
dc.contributor.authorGonzález Díaz, Ana
dc.contributor.authorPérez-Conde, Inmaculada
dc.contributor.authorGómez-Torres, Piedad 
dc.contributor.authorMembrive-Jiménez, María José 
dc.date.accessioned2025-11-25T09:47:33Z
dc.date.available2025-11-25T09:47:33Z
dc.date.issued2025-10-20
dc.identifier.citationLazo-Caparrós, M.D.; Gómez-Urquiza, J.L.; González-Díaz, A.; Pérez-Conde, I.; Gómez-Torres, P.; Membrive-Jiménez, M.J. Assessment Tools and Psychosocial Consequences of Smartphone Addiction in Nursing Students: A Systematic Review and Meta-Analysis. Healthcare 2025, 13, 2639. https://doi.org/10.3390/healthcare13202639es_ES
dc.identifier.urihttps://hdl.handle.net/10481/108294
dc.description.abstractBackground/Objectives: Problematic smartphone use is common among nursing students and has been linked to academic and psychosocial difficulties. This PROSPERO-registered systematic review (CRD42024559668) identified the instruments used to assess smartphone addiction in nursing students and, secondarily, pooled typical addiction levels using the Smartphone Addiction Scale–Short Version (SAS-SV; 10–60) and examined psychosocial correlates. Methods: Following PRISMA 2020, we searched PubMed, Scopus, Web of Science, CINAHL and ScienceDirect from 1 January 2014 to 9 May 2024. Eligible studies assessed problematic smartphone use in undergraduate nursing students with validated instruments, while development-only studies and pandemic-specific contexts were excluded. Methodological quality was appraised using the JBI checklist, and a random-effects meta-analysis was performed to estimate pooled scores and explore cross-study variability. Results: Fifty-three studies met inclusion; eleven contributed to the SAS-SV meta-analysis (N = 5586). The pooled mean score was 29.5 (95% CI 27.7–31.3), with very high heterogeneity (I2 = 98%). Sensitivity analyses yielded similar results, and no publication bias was detected. Across studies, higher smartphone addiction was correlated with elevated stress and anxiety, sleep disturbance, and poorer academic and clinical performance. Conclusions: Nursing students’ SAS-SV scores cluster around ~29/60, with substantial between-study variability. Higher addiction scores were consistently associated with stress, anxiety, poor sleep, and reduced academic and clinical performance. However, interpretation is limited by the cross-sectional nature of the included studies and the very high heterogeneity observed. Standardising measurement is essential, but equally important is developing targeted educational interventions to foster healthier smartphone habits in nursing education. These results may guide nursing educators and institutions to design programs that foster healthier digital habits and support students’ academic and clinical performance.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectSmartphone addictiones_ES
dc.subjectNursing students es_ES
dc.subjectSystematic reviewes_ES
dc.titleAssessment Tools and Psychosocial Consequences of Smartphone Addiction in Nursing Students: A Systematic Review and Meta-Analysises_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3390/healthcare13202639
dc.type.hasVersionVoRes_ES


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Atribución 4.0 Internacional
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