Cargando…
Internet Addiction and Sleep Disorders among Medical Students
BACKGROUND: Considering the increasing use of the Internet in Iranian society, especially among students, and the importance of sleep quality, the present study investigated the relationship between sleep quality and Internet addiction among medical students in Shiraz. METHODS: In this descriptive-a...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541298/ https://www.ncbi.nlm.nih.gov/pubmed/37780639 http://dx.doi.org/10.1155/2023/6685676 |
_version_ | 1785113881881870336 |
---|---|
author | Kashfi, Seyyed Mansour Karami, Hamed Jafari, Fatemeh Daliri, Masumeh Yazdankhah, Maryam Kamyab, Amirhossein Khani Jeihooni, Ali |
author_facet | Kashfi, Seyyed Mansour Karami, Hamed Jafari, Fatemeh Daliri, Masumeh Yazdankhah, Maryam Kamyab, Amirhossein Khani Jeihooni, Ali |
author_sort | Kashfi, Seyyed Mansour |
collection | PubMed |
description | BACKGROUND: Considering the increasing use of the Internet in Iranian society, especially among students, and the importance of sleep quality, the present study investigated the relationship between sleep quality and Internet addiction among medical students in Shiraz. METHODS: In this descriptive-analytical study, the sample included students of the Shiraz University of Medical Sciences who were selected by a multistage sampling method in 2018. Each faculty was considered to be stratified, and the samples were selected from all strata by simple random sampling. A total of 400 student questionnaires were eligible for analysis. The level of sleep disturbance was measured using the Pittsburgh Sleep Quality Index (PSQI), and Young's Internet Addiction Test (IAT) was used to evaluate Internet addiction. Cronbach's alpha for PSQI and IAT was 0.77 and 0.93, respectively. RESULTS: 109 (%28.9) and 58 (%14.4) of all the people under study were at risk of Internet addiction or poor sleep quality, respectively. The highest percentage of poor sleep quality was in those who were addicted to the Internet (60%), but the lowest percentage was observed in the group without addiction (27%). In addition, there was a significant correlation between Internet addiction and subjective sleep quality (r = 0.191, p = 0.05), sleep latency (r = 0.129, p = 0.01), sleep duration (r = 0.119, p = 0.01), habitual sleep efficiency (r = 0.186, p = 0.05), sleep disturbances (r = 0.169, p = 0.01), use of sleeping medication (r = 0.203, p = 0.05), and daytime dysfunction (r = 0.188, p = 0.05). CONCLUSION: These findings help national health officials and planners in Iran to design appropriate and effective interventions to improve students' health and prevent Internet addiction. |
format | Online Article Text |
id | pubmed-10541298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-105412982023-10-01 Internet Addiction and Sleep Disorders among Medical Students Kashfi, Seyyed Mansour Karami, Hamed Jafari, Fatemeh Daliri, Masumeh Yazdankhah, Maryam Kamyab, Amirhossein Khani Jeihooni, Ali ScientificWorldJournal Research Article BACKGROUND: Considering the increasing use of the Internet in Iranian society, especially among students, and the importance of sleep quality, the present study investigated the relationship between sleep quality and Internet addiction among medical students in Shiraz. METHODS: In this descriptive-analytical study, the sample included students of the Shiraz University of Medical Sciences who were selected by a multistage sampling method in 2018. Each faculty was considered to be stratified, and the samples were selected from all strata by simple random sampling. A total of 400 student questionnaires were eligible for analysis. The level of sleep disturbance was measured using the Pittsburgh Sleep Quality Index (PSQI), and Young's Internet Addiction Test (IAT) was used to evaluate Internet addiction. Cronbach's alpha for PSQI and IAT was 0.77 and 0.93, respectively. RESULTS: 109 (%28.9) and 58 (%14.4) of all the people under study were at risk of Internet addiction or poor sleep quality, respectively. The highest percentage of poor sleep quality was in those who were addicted to the Internet (60%), but the lowest percentage was observed in the group without addiction (27%). In addition, there was a significant correlation between Internet addiction and subjective sleep quality (r = 0.191, p = 0.05), sleep latency (r = 0.129, p = 0.01), sleep duration (r = 0.119, p = 0.01), habitual sleep efficiency (r = 0.186, p = 0.05), sleep disturbances (r = 0.169, p = 0.01), use of sleeping medication (r = 0.203, p = 0.05), and daytime dysfunction (r = 0.188, p = 0.05). CONCLUSION: These findings help national health officials and planners in Iran to design appropriate and effective interventions to improve students' health and prevent Internet addiction. Hindawi 2023-09-15 /pmc/articles/PMC10541298/ /pubmed/37780639 http://dx.doi.org/10.1155/2023/6685676 Text en Copyright © 2023 Seyyed Mansour Kashfi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kashfi, Seyyed Mansour Karami, Hamed Jafari, Fatemeh Daliri, Masumeh Yazdankhah, Maryam Kamyab, Amirhossein Khani Jeihooni, Ali Internet Addiction and Sleep Disorders among Medical Students |
title | Internet Addiction and Sleep Disorders among Medical Students |
title_full | Internet Addiction and Sleep Disorders among Medical Students |
title_fullStr | Internet Addiction and Sleep Disorders among Medical Students |
title_full_unstemmed | Internet Addiction and Sleep Disorders among Medical Students |
title_short | Internet Addiction and Sleep Disorders among Medical Students |
title_sort | internet addiction and sleep disorders among medical students |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541298/ https://www.ncbi.nlm.nih.gov/pubmed/37780639 http://dx.doi.org/10.1155/2023/6685676 |
work_keys_str_mv | AT kashfiseyyedmansour internetaddictionandsleepdisordersamongmedicalstudents AT karamihamed internetaddictionandsleepdisordersamongmedicalstudents AT jafarifatemeh internetaddictionandsleepdisordersamongmedicalstudents AT dalirimasumeh internetaddictionandsleepdisordersamongmedicalstudents AT yazdankhahmaryam internetaddictionandsleepdisordersamongmedicalstudents AT kamyabamirhossein internetaddictionandsleepdisordersamongmedicalstudents AT khanijeihooniali internetaddictionandsleepdisordersamongmedicalstudents |