Ibne Zaid Z, Tasnim A, Haque Khan MM, Ahmed Ratan Z, Tanvir Islam M, Haque MA. Common mental health problems and associated factors among recovered COVID-19 patients in rural area: A community-based survey in Bangladesh.
PLoS One 2024;
19:e0294495. [PMID:
38557875 PMCID:
PMC10984393 DOI:
10.1371/journal.pone.0294495]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 11/03/2023] [Indexed: 04/04/2024] Open
Abstract
PURPOSE
Since the coronavirus (COVID-19) was announced as being a global pandemic on 11 March, governments from all parts of the world declared a quarantine period, during which people were prohibited from leaving their homes (except for essential activities) to contain the spread of the virus. Since then, the population has faced different levels of restrictions (i.e., mobility, social activities) that limited participation in normal daily routines. Consequently, these restrictions may have adversely changed physical activity, diet, sleep patterns, and screen time or work routine. So, the pandemic has had profound influence on the mental health of the entire societies. As the mental health status of Bangladeshi patients living in rural area that have recovered from COVID-19 has not been previously studied, this gap is addressed through the present investigation focusing on one rural Bangladeshi community.
METHODS
A convenience sampling method was employed to recruit participants for this cross-sectional study. Data was gathered by conducting face-to-face interviews with 243 recovered COVID-19 patients (as confirmed by a positive Reverse Transcription PCR test) attending a local primary health care facility center and instructed to consider how they felt in the preceding week.
RESULTS
By administering a validated Bengali version of the Depression, Anxiety, and Stress Scale (DASS-21) to measure participants' mental health status, we noted that 24% of the sample exhibited depressive symptoms. In addition, 30.9% and 21.8% of the participants experienced stress symptoms and reported anxiety, respectively. Sociodemographic factors such as female sex, lower educational level, living away from family, smaller living accommodations, and lower economic status significantly predicted mental health outcomes in multivariate logistic regressions.
CONCLUSION
These results may help health care providers formulate proper mental health interventions and preventive measures to minimize the mental health problems among patients that have recovered from COVID-19.
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