Association Between Employment Status and Mental Health of People: An Evidence-Based Analysis in The Post Covid-19 Era

The COVID-19 pandemic has inflated many megacities in the world and petrified the mental health of people. Mental health complications of people during this pandemic were spread at different levels. This situation created the ground for this study to see whether the employment status of people was in line with fluctuating mental health conditions in Dhaka City Corporation during this invasion or in the immediate past. It was a cross-sectional study that applied a multistage sampling method to define sample size. It selected the participants randomly and collected data through a self-administered structured questionnaire. This questionnaire was based on the DASS-21 to measure the conditions of mental health stability. Different statistical tools, including cross-tabulation, were used to reveal the association between the variables, and a chi-square test was conducted to examine the significance of such association. The findings of the study exposed the stern predisposition of mental health situations to employment status in the Dhaka City Corporation during and immediately after the COVID-19 invasion, which was at different levels depending on their demographic attributes. Thus, the findings have a significant conclusion that taking preventive measures for the employment security of people is essential to maintaining their mental health in the future. However, it could also be said that keeping this study only in urban areas and among educated people is a limitation, though such a limitation has opened further sites for potential studies.

Authors

Publication Details

Journal
International Business Research
Published
2024-11-15
DOI
https://doi.org/10.5539/ibr.v17n6p23
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Association Between Employment Status and Mental Health of People: An Evidence-Based Analysis in The Post Covid-19 Era

Akhi Akter, Tania Ahmed Chowdhury, Mohammad Jahangir Alam, Esrat Zarin Lisa et al.
International Business Research
Employment and Welfare Studies
article

Association Between Employment Status and Mental Health of People: An Evidence-Based Analysis in The Post Covid-19 Era

Akhi Akter, Tania Ahmed Chowdhury, Mohammad Jahangir Alam, Esrat Zarin Lisa, Kaniz Fatima Emy
article en

Abstract

The COVID-19 pandemic has inflated many megacities in the world and petrified the mental health of people. Mental health complications of people during this pandemic were spread at different levels. This situation created the ground for this study to see whether the employment status of people was in line with fluctuating mental health conditions in Dhaka City Corporation during this invasion or in the immediate past. It was a cross-sectional study that applied a multistage sampling method to define sample size. It selected the participants randomly and collected data through a self-administered structured questionnaire. This questionnaire was based on the DASS-21 to measure the conditions of mental health stability. Different statistical tools, including cross-tabulation, were used to reveal the association between the variables, and a chi-square test was conducted to examine the significance of such association. The findings of the study exposed the stern predisposition of mental health situations to employment status in the Dhaka City Corporation during and immediately after the COVID-19 invasion, which was at different levels depending on their demographic attributes. Thus, the findings have a significant conclusion that taking preventive measures for the employment security of people is essential to maintaining their mental health in the future. However, it could also be said that keeping this study only in urban areas and among educated people is a limitation, though such a limitation has opened further sites for potential studies.

International Business ResearchVol. 17(6)
Openalex Percentile: Top 64%
Employment and Welfare Studies
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