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Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study
Although several studies have been conducted in Bangladesh regarding sleep problems during the COVID-19 pandemic, none have utilized a large nationwide sample or presented their findings based on nationwide geographical distribution. Therefore, the aim of the present study was to explore the total s...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969935/ https://www.ncbi.nlm.nih.gov/pubmed/36849735 http://dx.doi.org/10.1038/s41598-023-30023-1 |
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author | Al-Mamun, Firoj Hussain, Nur Sakib, Najmuj Hosen, Ismail Rayhan, Istihak Abdullah, Abu Hasnat Bhuiyan, A. K. M. Israfil Sarker, Md. Abedin Hossain, Sahadat Zou, Liye Manzar, Md. Dilshad Lin, Chung-Ying Sikder, Md. Tajuddin Muhit, Mohammad Pakpour, Amir H. Gozal, David Griffiths, Mark D. Mamun, Mohammed A. |
author_facet | Al-Mamun, Firoj Hussain, Nur Sakib, Najmuj Hosen, Ismail Rayhan, Istihak Abdullah, Abu Hasnat Bhuiyan, A. K. M. Israfil Sarker, Md. Abedin Hossain, Sahadat Zou, Liye Manzar, Md. Dilshad Lin, Chung-Ying Sikder, Md. Tajuddin Muhit, Mohammad Pakpour, Amir H. Gozal, David Griffiths, Mark D. Mamun, Mohammed A. |
author_sort | Al-Mamun, Firoj |
collection | PubMed |
description | Although several studies have been conducted in Bangladesh regarding sleep problems during the COVID-19 pandemic, none have utilized a large nationwide sample or presented their findings based on nationwide geographical distribution. Therefore, the aim of the present study was to explore the total sleep duration, night-time sleep, and daily naptime and their associated factors as well as geographic information system (GIS) distribution. A cross-sectional survey was carried out among 9730 people in April 2020, including questions relating to socio-demographic variables, behavioral and health factors, lockdown, depression, suicidal ideation, night sleep duration, and naptime duration. Descriptive and inferential statistics, both linear and multivariate regression, and spatial distribution were performed using Microsoft Excel, SPSS, Stata, and ArcGIS software. The results indicated that 64.7% reported sleeping 7–9 h a night, while 29.6% slept less than 7 h nightly, and 5.7% slept more than 9 h nightly. 43.7% reported 30–60 min of daily nap duration, whereas 20.9% napped for more than 1 h daily. Significant predictors of total daily sleep duration were being aged 18–25 years, being unemployed, being married, self-isolating 4 days or more, economic hardship, and depression. For nap duration, being aged 18–25 years, retired, a smoker, and a social media user were at relatively higher risk. The GIS distribution showed that regional division areas with high COVID-19 exposure had higher rates of non-normal sleep duration. Sleep duration showed a regional heterogeneity across the regional divisions of the country that exhibited significant associations with a multitude of socioeconomic and health factors. |
format | Online Article Text |
id | pubmed-9969935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99699352023-02-28 Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study Al-Mamun, Firoj Hussain, Nur Sakib, Najmuj Hosen, Ismail Rayhan, Istihak Abdullah, Abu Hasnat Bhuiyan, A. K. M. Israfil Sarker, Md. Abedin Hossain, Sahadat Zou, Liye Manzar, Md. Dilshad Lin, Chung-Ying Sikder, Md. Tajuddin Muhit, Mohammad Pakpour, Amir H. Gozal, David Griffiths, Mark D. Mamun, Mohammed A. Sci Rep Article Although several studies have been conducted in Bangladesh regarding sleep problems during the COVID-19 pandemic, none have utilized a large nationwide sample or presented their findings based on nationwide geographical distribution. Therefore, the aim of the present study was to explore the total sleep duration, night-time sleep, and daily naptime and their associated factors as well as geographic information system (GIS) distribution. A cross-sectional survey was carried out among 9730 people in April 2020, including questions relating to socio-demographic variables, behavioral and health factors, lockdown, depression, suicidal ideation, night sleep duration, and naptime duration. Descriptive and inferential statistics, both linear and multivariate regression, and spatial distribution were performed using Microsoft Excel, SPSS, Stata, and ArcGIS software. The results indicated that 64.7% reported sleeping 7–9 h a night, while 29.6% slept less than 7 h nightly, and 5.7% slept more than 9 h nightly. 43.7% reported 30–60 min of daily nap duration, whereas 20.9% napped for more than 1 h daily. Significant predictors of total daily sleep duration were being aged 18–25 years, being unemployed, being married, self-isolating 4 days or more, economic hardship, and depression. For nap duration, being aged 18–25 years, retired, a smoker, and a social media user were at relatively higher risk. The GIS distribution showed that regional division areas with high COVID-19 exposure had higher rates of non-normal sleep duration. Sleep duration showed a regional heterogeneity across the regional divisions of the country that exhibited significant associations with a multitude of socioeconomic and health factors. Nature Publishing Group UK 2023-02-27 /pmc/articles/PMC9969935/ /pubmed/36849735 http://dx.doi.org/10.1038/s41598-023-30023-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Al-Mamun, Firoj Hussain, Nur Sakib, Najmuj Hosen, Ismail Rayhan, Istihak Abdullah, Abu Hasnat Bhuiyan, A. K. M. Israfil Sarker, Md. Abedin Hossain, Sahadat Zou, Liye Manzar, Md. Dilshad Lin, Chung-Ying Sikder, Md. Tajuddin Muhit, Mohammad Pakpour, Amir H. Gozal, David Griffiths, Mark D. Mamun, Mohammed A. Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study |
title | Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study |
title_full | Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study |
title_fullStr | Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study |
title_full_unstemmed | Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study |
title_short | Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study |
title_sort | sleep duration during the covid-19 pandemic in bangladesh: a gis-based large sample survey study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969935/ https://www.ncbi.nlm.nih.gov/pubmed/36849735 http://dx.doi.org/10.1038/s41598-023-30023-1 |
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