About: Background: Precisely how the COVID-19 pandemic has impacted mental health worldwide is currently poorly understood. The study aimed to assess panic and anxiety among individuals in the general Bangladesh population early in the COVID-19 outbreak. Methodology: A cross-sectional online survey was conducted from March 29 to April 06, 2020, involving 1311 community-dwelling individuals aged between 13 and 63 years and residing in Bangladesh. After providing informed consent, participants completed an online survey assessing socio-demographic variables and using the Panic Disorder Severity Scale and Generalized Anxiety Disorder (GAD-7) to assess panic and anxiety symptomatology, respectively. Binary logistic regression analyses were conducted. Results: Estimates of panic and generalized anxiety were 79.6%, and 37.3%, respectively. Factors statistically predicting panic were being older (more than 30 years), having higher education (above bachelor), being married, and living with a joint family. Factors statistically predicting generalized anxiety were being female, being older (more than 30 years), having higher education (above bachelor), being married, being a non-governmental employee. Limitations: As this study employs the cross-sectional and self-reported measures, causal inferences cannot be indicated. Sampling biases may have influenced estimates of panic and generalized anxiety. Conclusion: Sizable proportions of respondents reported panic and generalized anxiety in the setting of COVID-19. The findings suggest the need for additional surveillance of panic and generalized anxiety through longitudinal assessments. Evidence-based intervention programs and supportive services to address panic and generalized anxiety appear important for Bangladeshi individuals during this stage (and likely later stages) of the COVID-19 pandemic.   Goto Sponge  NotDistinct  Permalink

An Entity of Type : fabio:Abstract, within Data Space : wasabi.inria.fr associated with source document(s)

AttributesValues
type
value
  • Background: Precisely how the COVID-19 pandemic has impacted mental health worldwide is currently poorly understood. The study aimed to assess panic and anxiety among individuals in the general Bangladesh population early in the COVID-19 outbreak. Methodology: A cross-sectional online survey was conducted from March 29 to April 06, 2020, involving 1311 community-dwelling individuals aged between 13 and 63 years and residing in Bangladesh. After providing informed consent, participants completed an online survey assessing socio-demographic variables and using the Panic Disorder Severity Scale and Generalized Anxiety Disorder (GAD-7) to assess panic and anxiety symptomatology, respectively. Binary logistic regression analyses were conducted. Results: Estimates of panic and generalized anxiety were 79.6%, and 37.3%, respectively. Factors statistically predicting panic were being older (more than 30 years), having higher education (above bachelor), being married, and living with a joint family. Factors statistically predicting generalized anxiety were being female, being older (more than 30 years), having higher education (above bachelor), being married, being a non-governmental employee. Limitations: As this study employs the cross-sectional and self-reported measures, causal inferences cannot be indicated. Sampling biases may have influenced estimates of panic and generalized anxiety. Conclusion: Sizable proportions of respondents reported panic and generalized anxiety in the setting of COVID-19. The findings suggest the need for additional surveillance of panic and generalized anxiety through longitudinal assessments. Evidence-based intervention programs and supportive services to address panic and generalized anxiety appear important for Bangladeshi individuals during this stage (and likely later stages) of the COVID-19 pandemic.
subject
  • 2019 disasters in China
  • 2019 health disasters
  • 2010s disease outbreaks
part of
is abstract of
is hasSource of
Faceted Search & Find service v1.13.91 as of Mar 24 2020


Alternative Linked Data Documents: Sponger | ODE     Content Formats:       RDF       ODATA       Microdata      About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data]
OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software