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A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic

The data presented here concerns the article entitled “Impact of COVID-19 pandemic on mental health among general Bangladeshi population: a cross-sectional study” [1]. This article represents a unique dataset on the mental health status among the Bangladeshi population during the early stage of the...

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Autores principales: Islam, Md. Rabiul, Daria, Sohel, Das, Rajesh, Hasan, Md. Rakib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420495/
https://www.ncbi.nlm.nih.gov/pubmed/34514074
http://dx.doi.org/10.1016/j.dib.2021.107347
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author Islam, Md. Rabiul
Daria, Sohel
Das, Rajesh
Hasan, Md. Rakib
author_facet Islam, Md. Rabiul
Daria, Sohel
Das, Rajesh
Hasan, Md. Rakib
author_sort Islam, Md. Rabiul
collection PubMed
description The data presented here concerns the article entitled “Impact of COVID-19 pandemic on mental health among general Bangladeshi population: a cross-sectional study” [1]. This article represents a unique dataset on the mental health status among the Bangladeshi population during the early stage of the COVID-19 pandemic. We collected the data from April 15 to May 10, 2020, when the government of Bangladesh imposed lockdown and quarantine approaches. Total 672 (381 men, 291 women) responses were collected using Google survey tools (Google Forms) from the Bangladeshi population aged between 15-65 years. We obtained electronic consent from all participants to participate in this study and publish their anonymous data. We assessed people's sociodemographic profiles and different psychometric measures in this study. We used UCLA-8, PHQ-9, GAD-7, and PSQI scales to assess loneliness, depression, anxiety, and sleep disturbance, respectively. This article provides a descriptive analysis of variables along with socioeconomic factors. The presented dataset gives a platform for future research for psychometric assessments of subjects using the above scales. We collected the survey data from the whole country regardless of socioeconomic factors. Therefore, policymakers of government and non-government organizations can use the data to develop different programs to promote the mental health of the Bangladeshi population.
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spelling pubmed-84204952021-09-07 A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic Islam, Md. Rabiul Daria, Sohel Das, Rajesh Hasan, Md. Rakib Data Brief Data Article The data presented here concerns the article entitled “Impact of COVID-19 pandemic on mental health among general Bangladeshi population: a cross-sectional study” [1]. This article represents a unique dataset on the mental health status among the Bangladeshi population during the early stage of the COVID-19 pandemic. We collected the data from April 15 to May 10, 2020, when the government of Bangladesh imposed lockdown and quarantine approaches. Total 672 (381 men, 291 women) responses were collected using Google survey tools (Google Forms) from the Bangladeshi population aged between 15-65 years. We obtained electronic consent from all participants to participate in this study and publish their anonymous data. We assessed people's sociodemographic profiles and different psychometric measures in this study. We used UCLA-8, PHQ-9, GAD-7, and PSQI scales to assess loneliness, depression, anxiety, and sleep disturbance, respectively. This article provides a descriptive analysis of variables along with socioeconomic factors. The presented dataset gives a platform for future research for psychometric assessments of subjects using the above scales. We collected the survey data from the whole country regardless of socioeconomic factors. Therefore, policymakers of government and non-government organizations can use the data to develop different programs to promote the mental health of the Bangladeshi population. Elsevier 2021-09-04 /pmc/articles/PMC8420495/ /pubmed/34514074 http://dx.doi.org/10.1016/j.dib.2021.107347 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Islam, Md. Rabiul
Daria, Sohel
Das, Rajesh
Hasan, Md. Rakib
A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic
title A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic
title_full A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic
title_fullStr A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic
title_full_unstemmed A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic
title_short A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic
title_sort nationwide dataset on the mental health of the bangladeshi population due to the covid-19 pandemic
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420495/
https://www.ncbi.nlm.nih.gov/pubmed/34514074
http://dx.doi.org/10.1016/j.dib.2021.107347
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