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

Authors Aldhawyan AF, Alfaraj AA, Elyahia SA, Alshehri SZ, Alghamdi AA

Received 23 December 2019

Accepted for publication 27 April 2020

Published 15 May 2020 Volume 2020:12 Pages 279—288

DOI https://doi.org/10.2147/NSS.S243411

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Sutapa Mukherjee


Video abstract presented by Adam F Aldhawyan.

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Adam F Aldhawyan, Ali A Alfaraj, Sara A Elyahia, Shaher Z Alshehri, Amal A Alghamdi

Family and Community Medicine Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

Correspondence: Adam F Aldhawyan
Family and Community Medicine Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 34221 – 4237, Saudi Arabia
Tel +966 503 838700
Fax +966 133330220
Email aaaldhawyan@iau.edu.sa

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 χ2 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.

Keywords: PSQI, sleep hygiene, social network, medical students, young adults, Saudi Arabia

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