5 research outputs found
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Fear of COVID-19 and depression: a comparative study among the general population and healthcare professionals during COVID-19 pandemic crisis in Bangladesh
The COVID-19 pandemic affects individualsâ mental health that can result in fear of getting COVID-19 infection and depression. As there is no prior study available, we evaluated these mental health outcomes and associated factors among the general population and healthcare professionals (HCPs) in Bangladesh. This nationwide cross-sectional study comprised 3388 individuals including 834 HCPs. The measures included socio-demographics, healthcare, and patient-care related information, the Bangla Patient Health Questionnaire, and the Bangla Fear of COVID-19 Scale. Multiple linear regression analyses were performed to identify risk factors. Just over one-quarter of the participants were depressed, and was significantly associated with COVID-19 fear. Regression analyses showed that, both in general population and HCPs, depression and fear of COVID-19 were strongly predicted by being female; however, depression was inversely associated with being married. Particularly, among the HCPs, being restless while examining a patient with flu-like symptoms and while examining a patient returning from abroad was found to be significant predictor for both depression and fear of COVID-19. HCPs who were using single protective equipment for a week had greater depression and those who felt insecure due to the pandemic had a high level of COVID-19 fear. The findings identified major psychological impacts among the participants, suggesting the urgent need to promote mental wellbeing in both general population and medical professionals
Psychometric validation of the Bangla fear of COVID-19 Scale: confirmatory factor analysis and Rasch analysis
The recently developed Fear of COVID-19 Scale (FCV-19S) is a seven-item uni-dimensional scale that assesses the severity of fears of COVID-19. Given the rapid increase of COVID-19 cases in Bangladesh, we aimed to translate and validate the FCV-19S in Bangla. The forward-backward translation method was used to translate the English version of the questionnaire into Bangla. The reliability and validity properties of the Bangla FCV-19S were rigorously psychometrically evaluated (utilizing both confirmatory factor analysis and Rasch analysis) in relation to socio-demographic variables, national lockdown variables, and response to the Bangla Health Patient Questionnaire. The sample comprised 8550 Bangladeshi participants. The Cronbach α value for the Bangla FCV-19S was 0.871 indicating very good internal reliability. The results of the confirmatory factor analysis showed that the uni-dimensional factor structure of the FCV-19S fitted well with the data. The FCV-19S was significantly correlated with the nine-item Bangla Patient Health Questionnaire (PHQ-90) (râ=â0.406,
Depression and suicidality among Bangladeshi students: subject selection reasons and learning environment as potential risk factors
Purpose: This study examined the role of subjectâselection reasons and learning environment factors in students' depression and suicidality.
Design and Methods: This study surveyed 960 students from five different Bangladeshi universities using questions concerning socioâdemographics, lifestyles, subjectâselection reasons, learning and academic environment, suicidal behaviors, and the Bangla Patient Health Questionnaire.
Findings: Approximately half of the participants were depressed (47.7%), and just over a quarter reported pastâyear suicidality (28.5%). Risk factors for both depression and suicidal behavior included not studying at their desired institute, selecting subjects based on future career prospects (rather than choosing what they want to study), not having a studyâfriendly and researchâfriendly environment, and unsupportive teachers.
Practical Implications: The findings will help in formulating policies for educational institutions as well as providing benchmark data for further studies
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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 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 7â9 h a night, while 29.6% slept less than 7 h nightly, and 5.7% slept more than 9 h nightly. 43.7% reported 30â60 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 18â25 years, being unemployed, being married, self-isolating 4 days or more, economic hardship, and depression. For nap duration, being aged 18â25 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