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Determinants of Subjective Poor Sleep Quality in Social Media Users Among Freshman College Students

INTRODUCTION: Social media (SM) usage has increased markedly among young adults. It is linked to poor sleep quality (PSQ), a risk factor for mental and physical health concerns. This study identified the determinants of PSQ in SM users among freshman college students. MATERIAL AND METHODS: A cross-s...

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Autores principales: Aldhawyan, Adam F, Alfaraj, Ali A, Elyahia, Sara A, Alshehri, Shaher Z, Alghamdi, Amal A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237109/
https://www.ncbi.nlm.nih.gov/pubmed/32523388
http://dx.doi.org/10.2147/NSS.S243411
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author Aldhawyan, Adam F
Alfaraj, Ali A
Elyahia, Sara A
Alshehri, Shaher Z
Alghamdi, Amal A
author_facet Aldhawyan, Adam F
Alfaraj, Ali A
Elyahia, Sara A
Alshehri, Shaher Z
Alghamdi, Amal A
author_sort Aldhawyan, Adam F
collection PubMed
description INTRODUCTION: Social media (SM) usage has increased markedly among young adults. It is linked to poor sleep quality (PSQ), a risk factor for mental and physical health concerns. This study identified the determinants of PSQ in SM users among freshman college students. MATERIAL AND METHODS: A cross-sectional design was used and 842 students completed a self-administered questionnaire. Analyses were performed using the χ(2) test to examine differences in the characteristics of poor and good sleepers and logistic regression to estimate the risk of PSQ with reference to SM usage patterns. RESULTS: Around 75.40% (n = 635) of the participants had PSQ. There was a significant difference in the PSQ rate between males (66.3%) and females (79.3%, p < 0.001), those who were physically active (67.2%) and those who were not (82.4%, p < 0.001), those who were mentally depressed (86.5%) and those who were not (61.5%, p < 0.001), and those with anxiety (87.8%) and those without (64.3%, p < 0.001). The risk of PSQ was lower among students who used SM for education (OR = 0.65, CI = 0.42 to 0.99, p = 0.048), had higher laptop usage (OR = 0.67, CI = 0.47 to 0.96, p = 0.03), and had higher SM usage during daytime (OR = 0.46, CI = 0.32 to 0.67, p < 0.001). The risk of PSQ was higher among those who reported SM usage at bedtime (OR = 1.69, CI = 1.01 to 2.81, p = 0.046). DISCUSSION: Among SM users, PSQ was related to sociodemographic features, lifestyle characteristics, and health-risk factors. Further research is required to confirm these findings.
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spelling pubmed-72371092020-06-09 Determinants of Subjective Poor Sleep Quality in Social Media Users Among Freshman College Students Aldhawyan, Adam F Alfaraj, Ali A Elyahia, Sara A Alshehri, Shaher Z Alghamdi, Amal A Nat Sci Sleep Original Research INTRODUCTION: Social media (SM) usage has increased markedly among young adults. It is linked to poor sleep quality (PSQ), a risk factor for mental and physical health concerns. This study identified the determinants of PSQ in SM users among freshman college students. MATERIAL AND METHODS: A cross-sectional design was used and 842 students completed a self-administered questionnaire. Analyses were performed using the χ(2) test to examine differences in the characteristics of poor and good sleepers and logistic regression to estimate the risk of PSQ with reference to SM usage patterns. RESULTS: Around 75.40% (n = 635) of the participants had PSQ. There was a significant difference in the PSQ rate between males (66.3%) and females (79.3%, p < 0.001), those who were physically active (67.2%) and those who were not (82.4%, p < 0.001), those who were mentally depressed (86.5%) and those who were not (61.5%, p < 0.001), and those with anxiety (87.8%) and those without (64.3%, p < 0.001). The risk of PSQ was lower among students who used SM for education (OR = 0.65, CI = 0.42 to 0.99, p = 0.048), had higher laptop usage (OR = 0.67, CI = 0.47 to 0.96, p = 0.03), and had higher SM usage during daytime (OR = 0.46, CI = 0.32 to 0.67, p < 0.001). The risk of PSQ was higher among those who reported SM usage at bedtime (OR = 1.69, CI = 1.01 to 2.81, p = 0.046). DISCUSSION: Among SM users, PSQ was related to sociodemographic features, lifestyle characteristics, and health-risk factors. Further research is required to confirm these findings. Dove 2020-05-15 /pmc/articles/PMC7237109/ /pubmed/32523388 http://dx.doi.org/10.2147/NSS.S243411 Text en © 2020 Aldhawyan et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Aldhawyan, Adam F
Alfaraj, Ali A
Elyahia, Sara A
Alshehri, Shaher Z
Alghamdi, Amal A
Determinants of Subjective Poor Sleep Quality in Social Media Users Among Freshman College Students
title Determinants of Subjective Poor Sleep Quality in Social Media Users Among Freshman College Students
title_full Determinants of Subjective Poor Sleep Quality in Social Media Users Among Freshman College Students
title_fullStr Determinants of Subjective Poor Sleep Quality in Social Media Users Among Freshman College Students
title_full_unstemmed Determinants of Subjective Poor Sleep Quality in Social Media Users Among Freshman College Students
title_short Determinants of Subjective Poor Sleep Quality in Social Media Users Among Freshman College Students
title_sort determinants of subjective poor sleep quality in social media users among freshman college students
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237109/
https://www.ncbi.nlm.nih.gov/pubmed/32523388
http://dx.doi.org/10.2147/NSS.S243411
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