Prevalence of Anxiety Disorder, Post COVID-19 Infected among People in Babylon
DOI:
https://doi.org/10.36321/kjns.vi20232.12698Keywords:
Prevalence, Anxiety Disorder, COVID-19Abstract
Background: pandemic related corona virus presented with high level of mortality rate, which produced multiple health problems related psychological aspect, as well as other aspects of health dimensions worldwide.
Objectives: The study aimed to assess the prevalence of anxiety disorder post COVID-19 Infected and to identify the correlation between anxiety disorder and sociodemographic characteristics for people after exposed to the corona virus in Babylon.
Methodology: A cross-sectional design was employed to achieve the objectives of the study for the period from1st September 2022 to 30 June 2023. A purposive sample of (434) individuals, the sampling method using snowball technique to access the participants of the study. The data for this study was collected by using (Sherman A. Lee scale, 2020) tool,
The assessment test scale consists of two parts, Cronbach's alphas test was calculated to determine the internal consistency of the study instrument. The overall internal consistency for the questionnaire was accepted which recorded: α=0.86.
Results: The summary statistics related sociodemographic characteristics showed that the majority of participants in the study are between age group of (20- 39) years old (56.2%). More than half of participants are female (53.5%). Regarding level of education majority of participants have college level of education, which recorded (28.1%). Related marital status more than a half of study sample are single (57.6%). lastly, (51.6%) of participants have barely sufficient level regarding with economic status.
Conclusion: The result of the study shows that anxiety disorder post COVID-19 infected presented as a low to fair level among the sample of study, in addition to that, gender recoded high negative correlation as well as the level of education showed negative correlation with anxiety disorder.
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Copyright (c) 2023 Dr. Akeel A. Hasan, Moatz Majeed Ali, Fadhel Farhan Kadhum, Safi Dakhil Nawam Alzeyadi
This work is licensed under a Creative Commons Attribution 4.0 International License.