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Internet Use Impact on Physical Health during COVID-19 Lockdown in Bangladesh: A Web-Based Cross-Sectional Study
Previous studies on internet use frequency were focused on mental health impact, with little known about the impact on physical health during the COVID-19 lockdown. This study examined the impact of internet use frequency on self-reported physical health during the COVID-19 lockdown in Bangladesh. A...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535707/ https://www.ncbi.nlm.nih.gov/pubmed/34682502 http://dx.doi.org/10.3390/ijerph182010728 |
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author | Abir, Tanvir Osuagwu, Uchechukwu Levi Nur-A Yazdani, Dewan Muhammad Mamun, Abdullah Al Kakon, Kaniz Salamah, Anas A. Zainol, Noor Raihani Khanam, Mansura Agho, Kingsley Emwinyore |
author_facet | Abir, Tanvir Osuagwu, Uchechukwu Levi Nur-A Yazdani, Dewan Muhammad Mamun, Abdullah Al Kakon, Kaniz Salamah, Anas A. Zainol, Noor Raihani Khanam, Mansura Agho, Kingsley Emwinyore |
author_sort | Abir, Tanvir |
collection | PubMed |
description | Previous studies on internet use frequency were focused on mental health impact, with little known about the impact on physical health during the COVID-19 lockdown. This study examined the impact of internet use frequency on self-reported physical health during the COVID-19 lockdown in Bangladesh. A web-based cross-sectional study on 3242 individuals was conducted from 2 August–1 October 2020. The survey covered demographics, internet use frequency and self-reported physical health questions. Linear regression analyses were used to examine the impact of internet use frequency on physical health. 72.5%, 69.9%, 65.1% and 55.3% respondents reported headache, back pain, numbness of the fingers and neck pain, respectively. The analyses showed increased physical health impact among regular (coefficient β = 0.52, 95% confidence interval [CI]: 0.18–0.85, p = 0.003), frequent (β = 1.21, 95% CI: 0.88–1.54, p < 0.001) and intense (β = 2.24, 95% CI: 1.91–2.57, p < 0.001) internet users. Other important predictors were gender, income, occupation, regions, and working status. Frequent and extensive uses of the internet were strong predictors of physical health problems, and our findings suggest the need for increased awareness about the physical health problems that can be triggered by excessive internet usage. |
format | Online Article Text |
id | pubmed-8535707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85357072021-10-23 Internet Use Impact on Physical Health during COVID-19 Lockdown in Bangladesh: A Web-Based Cross-Sectional Study Abir, Tanvir Osuagwu, Uchechukwu Levi Nur-A Yazdani, Dewan Muhammad Mamun, Abdullah Al Kakon, Kaniz Salamah, Anas A. Zainol, Noor Raihani Khanam, Mansura Agho, Kingsley Emwinyore Int J Environ Res Public Health Article Previous studies on internet use frequency were focused on mental health impact, with little known about the impact on physical health during the COVID-19 lockdown. This study examined the impact of internet use frequency on self-reported physical health during the COVID-19 lockdown in Bangladesh. A web-based cross-sectional study on 3242 individuals was conducted from 2 August–1 October 2020. The survey covered demographics, internet use frequency and self-reported physical health questions. Linear regression analyses were used to examine the impact of internet use frequency on physical health. 72.5%, 69.9%, 65.1% and 55.3% respondents reported headache, back pain, numbness of the fingers and neck pain, respectively. The analyses showed increased physical health impact among regular (coefficient β = 0.52, 95% confidence interval [CI]: 0.18–0.85, p = 0.003), frequent (β = 1.21, 95% CI: 0.88–1.54, p < 0.001) and intense (β = 2.24, 95% CI: 1.91–2.57, p < 0.001) internet users. Other important predictors were gender, income, occupation, regions, and working status. Frequent and extensive uses of the internet were strong predictors of physical health problems, and our findings suggest the need for increased awareness about the physical health problems that can be triggered by excessive internet usage. MDPI 2021-10-13 /pmc/articles/PMC8535707/ /pubmed/34682502 http://dx.doi.org/10.3390/ijerph182010728 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Abir, Tanvir Osuagwu, Uchechukwu Levi Nur-A Yazdani, Dewan Muhammad Mamun, Abdullah Al Kakon, Kaniz Salamah, Anas A. Zainol, Noor Raihani Khanam, Mansura Agho, Kingsley Emwinyore Internet Use Impact on Physical Health during COVID-19 Lockdown in Bangladesh: A Web-Based Cross-Sectional Study |
title | Internet Use Impact on Physical Health during COVID-19 Lockdown in Bangladesh: A Web-Based Cross-Sectional Study |
title_full | Internet Use Impact on Physical Health during COVID-19 Lockdown in Bangladesh: A Web-Based Cross-Sectional Study |
title_fullStr | Internet Use Impact on Physical Health during COVID-19 Lockdown in Bangladesh: A Web-Based Cross-Sectional Study |
title_full_unstemmed | Internet Use Impact on Physical Health during COVID-19 Lockdown in Bangladesh: A Web-Based Cross-Sectional Study |
title_short | Internet Use Impact on Physical Health during COVID-19 Lockdown in Bangladesh: A Web-Based Cross-Sectional Study |
title_sort | internet use impact on physical health during covid-19 lockdown in bangladesh: a web-based cross-sectional study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535707/ https://www.ncbi.nlm.nih.gov/pubmed/34682502 http://dx.doi.org/10.3390/ijerph182010728 |
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