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      The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis

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          Abstract

          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.

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          Most cited references61

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          Measuring inconsistency in meta-analyses.

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            Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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              Estimating the mean and variance from the median, range, and the size of a sample

              Background Usually the researchers performing meta-analysis of continuous outcomes from clinical trials need their mean value and the variance (or standard deviation) in order to pool data. However, sometimes the published reports of clinical trials only report the median, range and the size of the trial. Methods In this article we use simple and elementary inequalities and approximations in order to estimate the mean and the variance for such trials. Our estimation is distribution-free, i.e., it makes no assumption on the distribution of the underlying data. Results We found two simple formulas that estimate the mean using the values of the median (m), low and high end of the range (a and b, respectively), and n (the sample size). Using simulations, we show that median can be used to estimate mean when the sample size is larger than 25. For smaller samples our new formula, devised in this paper, should be used. We also estimated the variance of an unknown sample using the median, low and high end of the range, and the sample size. Our estimate is performing as the best estimate in our simulations for very small samples (n ≤ 15). For moderately sized samples (15 70), the formula range/6 gives the best estimator for the standard deviation (variance). We also include an illustrative example of the potential value of our method using reports from the Cochrane review on the role of erythropoietin in anemia due to malignancy. Conclusion Using these formulas, we hope to help meta-analysts use clinical trials in their analysis even when not all of the information is available and/or reported.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 September 2023
                2023
                : 18
                : 9
                : e0290724
                Affiliations
                [1 ] Singhealth Polyclinics, Singapore, Singapore
                [2 ] Lee Kong Chian School of Medicine, National Technological University of Singapore, Singapore, Singapore
                [3 ] Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
                [4 ] SingHealth Duke-NUS Family Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
                McMaster University, CANADA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-7806-6665
                https://orcid.org/0000-0002-7705-1661
                Article
                PONE-D-22-35005
                10.1371/journal.pone.0290724
                10503710
                37713408
                8c7c363c-224f-4f6f-bbd2-06b9a8e74643
                © 2023 Leow et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 January 2023
                : 14 August 2023
                Page count
                Figures: 5, Tables: 2, Pages: 14
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Engineering and Technology
                Equipment
                Communication Equipment
                Cell Phones
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Sleep
                Biology and Life Sciences
                Psychology
                Addiction
                Social Sciences
                Psychology
                Addiction
                People and Places
                Population Groupings
                Educational Status
                Undergraduates
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Research and Analysis Methods
                Research Assessment
                Systematic Reviews
                Engineering and Technology
                Measurement
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Academic Skills
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Academic Skills
                Social Sciences
                Psychology
                Cognitive Psychology
                Academic Skills
                Custom metadata
                Data has been reposited into Figshare (citation: Leow MQH, Chiang J, Wang S, Chua T, Tan NC. Use of smartphone in Medical Students. 2023. Figshare dataset. https://doi.org/10.6084/m9.figshare.23605977.v1)

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