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Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study

BACKGROUND: Smartphone addiction, as with other behavioral addictions, is associated with social, physical, and mental health issues. In this article, we investigated the prevalence of smartphone addiction among postgraduate students and evaluated its correlation with social demographics, depression...

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Autores principales: Alageel, Asem A., Alyahya, Rayyan A., A. Bahatheq, Yasser, Alzunaydi, Norah A., Alghamdi, Raed A., Alrahili, Nader M, McIntyre, Roger S., Iacobucci, Michelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193897/
https://www.ncbi.nlm.nih.gov/pubmed/34112121
http://dx.doi.org/10.1186/s12888-021-03285-0
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author Alageel, Asem A.
Alyahya, Rayyan A.
A. Bahatheq, Yasser
Alzunaydi, Norah A.
Alghamdi, Raed A.
Alrahili, Nader M
McIntyre, Roger S.
Iacobucci, Michelle
author_facet Alageel, Asem A.
Alyahya, Rayyan A.
A. Bahatheq, Yasser
Alzunaydi, Norah A.
Alghamdi, Raed A.
Alrahili, Nader M
McIntyre, Roger S.
Iacobucci, Michelle
author_sort Alageel, Asem A.
collection PubMed
description BACKGROUND: Smartphone addiction, as with other behavioral addictions, is associated with social, physical, and mental health issues. In this article, we investigated the prevalence of smartphone addiction among postgraduate students and evaluated its correlation with social demographics, depression, attention-deficit/hyperactivity disorder (ADHD), and nicotine dependence. OBJECTIVES: The objective of this study was to investigate the prevalence of smartphone addiction among Middle Eastern postgraduate students, determine the factors associated with smartphone addiction, and estimate the incidence rate of major depressive disorder (MDD), ADHD, insomnia, and nicotine addiction among postgraduate students with smartphone addiction. METHODS: As part of a cross-sectional online survey, participants were given a self-questionnaire divided into six sections: Socio-demographics, Smartphone Addiction Scale (SAS), Patient Health Questionnaire (PHQ9) for Depression, Athens Insomnia Scale (AIS), the Fagerström Test for Cigarette Dependence Questionnaire (FTCd), and the adult ADHD Self-Report Scale (ASRS-v1.1). RESULTS: Of the 506 patients, 51.0% of the participants demonstrated smartphone addiction. A significant association was also observed between extensive smartphone use and MDD (P = 0.001). Of the smokers in this study, 41.5% were addicted to smartphones (P = 0.039). Smartphone addicts had approximately two times the chance of having insomnia (OR = 2.113) (P = 0.013). In addition, they showcased more ADHD symptoms (OR = 2.712) (P < 0.001). CONCLUSIONS: We found a positive association among insomnia, depression, adult ADHD, and smartphone addiction, which confirms the findings reported in the previous studies. Therefore, we encourage the scientific community to further study the impacts of smartphone addiction on the mental health of postgraduate students.
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spelling pubmed-81938972021-06-15 Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study Alageel, Asem A. Alyahya, Rayyan A. A. Bahatheq, Yasser Alzunaydi, Norah A. Alghamdi, Raed A. Alrahili, Nader M McIntyre, Roger S. Iacobucci, Michelle BMC Psychiatry Research BACKGROUND: Smartphone addiction, as with other behavioral addictions, is associated with social, physical, and mental health issues. In this article, we investigated the prevalence of smartphone addiction among postgraduate students and evaluated its correlation with social demographics, depression, attention-deficit/hyperactivity disorder (ADHD), and nicotine dependence. OBJECTIVES: The objective of this study was to investigate the prevalence of smartphone addiction among Middle Eastern postgraduate students, determine the factors associated with smartphone addiction, and estimate the incidence rate of major depressive disorder (MDD), ADHD, insomnia, and nicotine addiction among postgraduate students with smartphone addiction. METHODS: As part of a cross-sectional online survey, participants were given a self-questionnaire divided into six sections: Socio-demographics, Smartphone Addiction Scale (SAS), Patient Health Questionnaire (PHQ9) for Depression, Athens Insomnia Scale (AIS), the Fagerström Test for Cigarette Dependence Questionnaire (FTCd), and the adult ADHD Self-Report Scale (ASRS-v1.1). RESULTS: Of the 506 patients, 51.0% of the participants demonstrated smartphone addiction. A significant association was also observed between extensive smartphone use and MDD (P = 0.001). Of the smokers in this study, 41.5% were addicted to smartphones (P = 0.039). Smartphone addicts had approximately two times the chance of having insomnia (OR = 2.113) (P = 0.013). In addition, they showcased more ADHD symptoms (OR = 2.712) (P < 0.001). CONCLUSIONS: We found a positive association among insomnia, depression, adult ADHD, and smartphone addiction, which confirms the findings reported in the previous studies. Therefore, we encourage the scientific community to further study the impacts of smartphone addiction on the mental health of postgraduate students. BioMed Central 2021-06-10 /pmc/articles/PMC8193897/ /pubmed/34112121 http://dx.doi.org/10.1186/s12888-021-03285-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Alageel, Asem A.
Alyahya, Rayyan A.
A. Bahatheq, Yasser
Alzunaydi, Norah A.
Alghamdi, Raed A.
Alrahili, Nader M
McIntyre, Roger S.
Iacobucci, Michelle
Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study
title Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study
title_full Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study
title_fullStr Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study
title_full_unstemmed Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study
title_short Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study
title_sort smartphone addiction and associated factors among postgraduate students in an arabic sample: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193897/
https://www.ncbi.nlm.nih.gov/pubmed/34112121
http://dx.doi.org/10.1186/s12888-021-03285-0
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