key: cord-0969138-a7hlgtlc authors: Islam, Md. Rabiul; Daria, Sohel; Das, Rajesh; Hasan, Md. Rakib title: A nationwide dataset on the mental health of the Bangladeshi population due to the COVID-19 pandemic date: 2021-09-04 journal: Data Brief DOI: 10.1016/j.dib.2021.107347 sha: 195adc1a55bd584d84d34eeaa4fafce4b40c1d0d doc_id: 969138 cord_uid: a7hlgtlc 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. 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. © 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ) Table Subject Public • The data is essential as it addresses the four major mental health issues such as loneliness, depression, anxiety, and sleep disturbance among the general Bangladeshi population during the COVID-19 pandemic. • The dataset is useful for researchers in measuring the prevalence of loneliness, depression, anxiety, and sleep disturbance during any public health crisis. • Provides further insights for researchers to conduct comparative studies on the gravity of mental health issues during and after public health emergencies. • Provides insights for researchers on mental health status to research the general population in other countries in a public health crisis. • The dataset ensured rapid data collection during pandemic situations and suitability for context-specific mental health programs. • The dataset is helpful for policymakers to take suitable measures to grow confidence among the general population in public health emergencies. World Health Organization declared coronavirus disease 2019 (COVID-19) as a pandemic on March 11, 2020. The situation is deteriorating by increasing the daily infection and mortality rates [2] . The government of Bangladesh imposed a country-wide lockdown on March 26, 2020, to curb the spreading of the virus. The general population of Bangladesh has witnessed a dramatic shift in their personal life, professional life, and daily activities that severely impacted their mental health status [3 , 4] . The survey questionnaire was designed in separate sections to assess the mental health status among the general Bangladeshi population by four internationally validated scales: the UCLA Loneliness Scale-8 (UCLA-8), Patient Health Questionnaire-9 (PHQ-9), 7-item Generalized Anxiety Disorder (GAD-7) Scale, and Pittsburgh Sleep Quality Index Pilot study conducted on small group of people prior to main survey. (PSQI) [5] [6] [7] [8] . The dataset provides insightful information based on the survey data on the mental health status of the general Bangladeshi population during the pandemic. The data collection was conducted between April 15, 2020, and May 10, 2020, using the Google survey tool (Google Forms) at the early stage of the COVID-19 outbreak in Bangladesh. After screening, we got a total of 672 valid responses (381 men, 291 women) between 15 and 65 years for the analysis. We used two sets of questionnaires in this survey. The first one was a structured questionnaire designed by the researchers to collect sociodemographic information and the second set was a self-reported structured questionnaire of different psychometric assessment scales. The dataset provides (i) assessment of loneliness (UCLA-8) in Table 1 , (ii) assessment of depression (PHQ-9) in Table 2 , (iii) assessment of anxiety (GAD-7) in Table 3 , (iv) assessment of sleep disturbances (PSQI) in Table 4 , (v) distribution of different psychometric parameters among the respondents in Table 5 , (vi) the severity of different psychometric parameters among the respondents in Table 6 . It also presents a flowchart of the collection and exclusion procedure of survey data from the respondents illustrated in Fig. 1 . The research conducted a nationwide cross-sectional online survey to assess the impact of the COVID-19 pandemic on mental health among the Bangladeshi population. The online survey was conducted from April 15 to May 10, 2020, using Google survey tools (Google Forms) to construct the dataset at the early stage of the government-imposed lockdown and movement restriction. Here, we applied the purposive sampling technique to collect primary data from the Table 3 Distribution of responses based on the 7-item Generalized Anxiety Disorder (GAD-7) Scale. Indicate how often each of the statements below is descriptive of you. Frequency (n) Percentage (%) participants. Initially, we obtained a total of 736 responses. We discarded 64 responses from the analysis due to the partial or incomplete information. After reviewing a brief description of the survey, eligibility requirements, procedures, and electronic consent form, the participant participates in the survey. We used two sets of questionnaires for this self-answered survey. The first section was a structured questionnaire designed by the researchers to obtain the informed electronic consent and sociodemographic information. The second section of the survey was a self-reported structured questionnaire from different psychometric assessment scales. The second section had four sub-sections for four different psychometric scales. At first, eight questions about how often the respondents feel the below statements in the past 30 days? to figure out their loneliness levels. Each question is scored from 1 to 4, depending on their answer: 1 (never), 2 (rarely), 3 (sometimes), and 4 (often). Then nine questions about how frequently the respondents bothered by any of the below problems since last 30 days? to assess depression. In this case, each question is scored from 0 to 3 depending on the answer: 0 (not at all), 1 (several days), 2 (half of the days), and 3 (nearly every day). The third part contained seven questions about how often the respondents were bothered by the following problems in the last 30 days? to determine the anxiety level among the respondents with the options -0 (not at all), 1 (several days), 2 (more than half of the days), and 3 (nearly every day). The last part also contained nineteen structured questions to assess the overall sleep quality. Then, the nineteen questions were grouped into seven different domains to measure sleep quality. We calculated the frequency and percentage of the collected data and presented them in the tables. Ethical approval has not been sought for this work. The present survey did not investigate and analyze human samples for pathophysiology, genetics, and other medical purposes. Moreover, we secured the informed electronic consent from each respondent before participating in this survey. Also, we obtained informed consent from the legal guardians of the underage participants. The respondent's participation was voluntary and anonymous. Finally, we can confirm that this manuscript adheres to ethics in publishing standards. Sohel Daria, Rajesh Das and Md. Rakib Hasan: Contributed to data collection, analyzed the data, wrote the initial draft of the data manuscript; Md. Rabiul Islam: Conceived and designed the experiments, interpreted the data, revise the data manuscript, gave intellectual inputs on this work, supervised the whole process. We supplied the survey questionnaire and the answers to the questions in English as a supplementary file. None. Impact of COVID-19 pandemic on mental health among general Bangladeshi population: a cross-sectional study Efficacy of Phytochemicals Derived from Avicennia officinalis for the Management of COVID-19: a Effect of COVID-19 pandemic on mental health among Bangladeshi healthcare professionals: a cross-sectional study Mental Health of Children Amid COVID-19 Pandemic in Bangladesh: An Exploratory Observation. Asia-Pacific journal of public health, 10105395211004371 The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research Patient health questionnaire-9 as an effective tool for screening of depression among Indian adolescents A short-form measure of loneliness A brief measure for assessing generalized anxiety disorder: the GAD-7 All the authors are thankful to the participants for their cooperation in this study. Supplementary material associated with this article can be found in the online version at doi: 10.1016/j.dib.2021.107347 .