ABSTRACT
The study aimed to measure Knowledge, Attitude, and Practice (KAP) and fear level towards COVID-19 and explore its cross-cultural variances in knowledge by sociodemographic factors among the general population of 8 different countries over 5 continents. It was a cross-sectional online survey. This survey was conducted in April 2020 among 1296 participants using the "Google Form" platform. Considering the social distancing formula and pandemic situation, we collect data using popular social media networks. Univariate and bivariate analyses were used to explore the collected data on KAP, fear, and sociodemographic factors. Overall knowledge score was 9.7 ± 1.7 (out of 12), and gender differences (female vs male: 9.8 ± 1.6 vs 9.5 ± 1.9) were significant (p = 0.008) in the bivariate analysis. Knowledge score variances were found significant in some regions by gender, marital status, and education qualification. The highest and lowest mean knowledge scores were recorded in the Middle East (10.0 ± 1.7) and Europe (9.3 ± 2.0). Despite having a high fear score (22.5 ± 5.6 out of 35), 78.35% of respondents were positively and 81.7% in a good practice level. Fear score rankings: Middle East (1st; 23.8 ± 5.5), Europe (2nd; 23.2 ± 5.8), Africa (3rd; 22.7 ± 5.0), South Asia (4th; 22.1 ± 5.7), Oceania (5th; 21.9 ± 5.8), and North America (6th; 21.7 ± 5.5). Fear and knowledge were not correlated. KAP and fear variation exist among geographical regions. Gender, marital status, and education qualification are factors in knowledge variances for some regions. KAP and fear measures can help health education programs consider some sociodemographic factors and regions during an outbreak of highly contagious disease and uplift a positive attitude and good practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11469-021-00638-4.
ABSTRACT
OBJECTIVE: We aim to evaluate the immediate impacts of COVID-19 stay-at-home orders on the mental well-being of Bangladeshi adults. We recruited 1404 healthy adults following the Bangladesh government's lockdown announcement. A questionnaire comprising the Warwick Edinburgh Mental Well-being Scale was used to define mental health. RESULTS: The overall mean score for well-being was 42.4, indicating that 51.9% of adults suffered from poor mental health. And within that 48% of males and 57% of females were depressed. The mean scores for government workers, unemployed workers, and business employees were 45.1, 39.6, and 39.5, respectively. Confounding adjustments in multivariable linear regression models revealed that married women, unemployed and business communities, and individuals returning to villages were heavily depressed. Stay-at-home orders had significant repercussions on mental health and created a gender disparity in depression among adults. Suggestions include promoting mental health for women, unemployed, and business individuals. Married women need to be taken into special consideration as their mental well-being is worse. Older people (50 years of age and over) reported a high day-to-day variation in their mental health. These results should be factored in when discussing the mental health of adults and communities to cope with quarantine.