Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study
Abstract 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 th...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-30023-1 |
| _version_ | 1827984623869624320 |
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| author | Firoj Al-Mamun Nur Hussain Najmuj Sakib Ismail Hosen Istihak Rayhan Abu Hasnat Abdullah A. K. M. Israfil Bhuiyan Md. Abedin Sarker Sahadat Hossain Liye Zou Md. Dilshad Manzar Chung-Ying Lin Md. Tajuddin Sikder Mohammad Muhit Amir H. Pakpour David Gozal Mark D. Griffiths Mohammed A. Mamun |
| author_facet | Firoj Al-Mamun Nur Hussain Najmuj Sakib Ismail Hosen Istihak Rayhan Abu Hasnat Abdullah A. K. M. Israfil Bhuiyan Md. Abedin Sarker Sahadat Hossain Liye Zou Md. Dilshad Manzar Chung-Ying Lin Md. Tajuddin Sikder Mohammad Muhit Amir H. Pakpour David Gozal Mark D. Griffiths Mohammed A. Mamun |
| author_sort | Firoj Al-Mamun |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-09T23:02:21Z |
| format | Article |
| id | doaj.art-f72e29cd9f354877b8410897c8224495 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T23:02:21Z |
| publishDate | 2023-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-f72e29cd9f354877b8410897c82244952023-03-22T10:57:32ZengNature PortfolioScientific Reports2045-23222023-02-0113111610.1038/s41598-023-30023-1Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey studyFiroj Al-Mamun0Nur Hussain1Najmuj Sakib2Ismail Hosen3Istihak Rayhan4Abu Hasnat Abdullah5A. K. M. Israfil Bhuiyan6Md. Abedin Sarker7Sahadat Hossain8Liye Zou9Md. Dilshad Manzar10Chung-Ying Lin11Md. Tajuddin Sikder12Mohammad Muhit13Amir H. Pakpour14David Gozal15Mark D. Griffiths16Mohammed A. Mamun17CHINTA Research BangladeshCHINTA Research BangladeshDepartment of Microbiology, Jashore University of Science and TechnologyCHINTA Research BangladeshDepartment of Economics, Jahangirnagar UniversityCHINTA Research BangladeshCHINTA Research BangladeshCHINTA Research BangladeshDepartment of Public Health and Informatics, Jahangirnagar UniversityBody-Brain-Mind Laboratory, School of Psychology, Shenzhen UniversityDepartment of Nursing, College of Applied Medical Sciences, Majmaah UniversityInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung UniversityDepartment of Public Health and Informatics, Jahangirnagar UniversityDepartment of Public Health, University of South AsiaSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical SciencesDepartment of Child Health and The Child Health Research Institute, The University of Missouri School of MedicineInternational Gaming Research Unit, Psychology Department, Nottingham Trent UniversityCHINTA Research BangladeshAbstract 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.https://doi.org/10.1038/s41598-023-30023-1 |
| spellingShingle | Firoj Al-Mamun Nur Hussain Najmuj Sakib Ismail Hosen Istihak Rayhan Abu Hasnat Abdullah A. K. M. Israfil Bhuiyan Md. Abedin Sarker Sahadat Hossain Liye Zou Md. Dilshad Manzar Chung-Ying Lin Md. Tajuddin Sikder Mohammad Muhit Amir H. Pakpour David Gozal Mark D. Griffiths Mohammed A. Mamun Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-023-30023-1 |
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