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The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis
OBJECTIVES: This systematic review aimed to evaluate the association between smartphone addiction and sleep in medical students. The secondary outcomes included the prevalence of smartphone addiction, duration and purpose of its use, prevalence of poor sleep, duration and quality of sleep. METHODS:...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503710/ https://www.ncbi.nlm.nih.gov/pubmed/37713408 http://dx.doi.org/10.1371/journal.pone.0290724 |
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author | Leow, Mabel Qi He Chiang, Joelle Chua, Tiffany Jia Xuan Wang, Sean Tan, Ngiap Chuan |
author_facet | Leow, Mabel Qi He Chiang, Joelle Chua, Tiffany Jia Xuan Wang, Sean Tan, Ngiap Chuan |
author_sort | Leow, Mabel Qi He |
collection | PubMed |
description | OBJECTIVES: This systematic review aimed to evaluate the association between smartphone addiction and sleep in medical students. The secondary outcomes included the prevalence of smartphone addiction, duration and purpose of its use, prevalence of poor sleep, duration and quality of sleep. METHODS: The authors searched PubMed, Cochrane Library, Embase, PsycINFO and CINAHL databases, from inception of each database to October 2022. Quantitative studies in the English language on smartphone addiction and sleep in students studying Western Medicine were included. The Rayyan application was used for title-abstract screening, and Joanna Briggs Institute (JBI) critical appraisal checklist to assess the risk of bias. Heterogeneity tests and meta-synthesis of data were performed using the meta-package in R software. Data on the activities used on the smartphone was synthesized qualitatively RESULTS: A total of 298 abstracts were initially assessed for inclusion eligibility: 16 of them were eventually appraised, covering 9466 medical students comprising 3781 (39.9%) males and 5161 (54.5%) females. Meta-correlation between the Smartphone Addiction Scale Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) was 0.30 (95%CI = 0.24–0.36), and 0.27 (95% CI = 0.18–0.36) for SAS-SV and sleep duration. The meta-analytic estimation of smartphone addiction prevalence was 39% (95%CI = 0.30–0.50), and score using SAS-SV was 31.11 (95%CI = 29.50–32.72). The mean duration of smartphone daily used was 4.90 hours (95%CI = 3.72–6.08). The meta-analytic estimation on prevalence of poor sleep was 57% (95%CI = 0.48–0.66), and the meta-mean of PSQI and duration of sleep was 5.95 (95%CI = 4.90–7.00) and 5.62h (95%CI = 4.87–6.36) respectively. Medical students used their smartphones mostly for text messaging, followed by photo-sharing or social networking. Its usage for medical education remains unclear. CONCLUSION: The prevalence of poor sleep and smartphone addiction in medical students was 57% and 39% respectively, with a correlation index of 0.30. Medical students commonly used the smartphone for text-messaging, photo-sharing or social networking, averaging 4.9 hours daily. |
format | Online Article Text |
id | pubmed-10503710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105037102023-09-16 The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis Leow, Mabel Qi He Chiang, Joelle Chua, Tiffany Jia Xuan Wang, Sean Tan, Ngiap Chuan PLoS One Research Article OBJECTIVES: This systematic review aimed to evaluate the association between smartphone addiction and sleep in medical students. The secondary outcomes included the prevalence of smartphone addiction, duration and purpose of its use, prevalence of poor sleep, duration and quality of sleep. METHODS: The authors searched PubMed, Cochrane Library, Embase, PsycINFO and CINAHL databases, from inception of each database to October 2022. Quantitative studies in the English language on smartphone addiction and sleep in students studying Western Medicine were included. The Rayyan application was used for title-abstract screening, and Joanna Briggs Institute (JBI) critical appraisal checklist to assess the risk of bias. Heterogeneity tests and meta-synthesis of data were performed using the meta-package in R software. Data on the activities used on the smartphone was synthesized qualitatively RESULTS: A total of 298 abstracts were initially assessed for inclusion eligibility: 16 of them were eventually appraised, covering 9466 medical students comprising 3781 (39.9%) males and 5161 (54.5%) females. Meta-correlation between the Smartphone Addiction Scale Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) was 0.30 (95%CI = 0.24–0.36), and 0.27 (95% CI = 0.18–0.36) for SAS-SV and sleep duration. The meta-analytic estimation of smartphone addiction prevalence was 39% (95%CI = 0.30–0.50), and score using SAS-SV was 31.11 (95%CI = 29.50–32.72). The mean duration of smartphone daily used was 4.90 hours (95%CI = 3.72–6.08). The meta-analytic estimation on prevalence of poor sleep was 57% (95%CI = 0.48–0.66), and the meta-mean of PSQI and duration of sleep was 5.95 (95%CI = 4.90–7.00) and 5.62h (95%CI = 4.87–6.36) respectively. Medical students used their smartphones mostly for text messaging, followed by photo-sharing or social networking. Its usage for medical education remains unclear. CONCLUSION: The prevalence of poor sleep and smartphone addiction in medical students was 57% and 39% respectively, with a correlation index of 0.30. Medical students commonly used the smartphone for text-messaging, photo-sharing or social networking, averaging 4.9 hours daily. Public Library of Science 2023-09-15 /pmc/articles/PMC10503710/ /pubmed/37713408 http://dx.doi.org/10.1371/journal.pone.0290724 Text en © 2023 Leow et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Leow, Mabel Qi He Chiang, Joelle Chua, Tiffany Jia Xuan Wang, Sean Tan, Ngiap Chuan The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis |
title | The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis |
title_full | The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis |
title_fullStr | The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis |
title_full_unstemmed | The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis |
title_short | The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis |
title_sort | relationship between smartphone addiction and sleep among medical students: a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503710/ https://www.ncbi.nlm.nih.gov/pubmed/37713408 http://dx.doi.org/10.1371/journal.pone.0290724 |
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