Evidence of mental health-related morbidities and its association with socio-economic status among previously hospitalized patients with symptoms of Covid-19 in Bangladesh
Bibliographic Data
| ID | 22068648 |
|---|---|
| Authors | Asibul Islam Anik (0000-0002-6885-2256, corresponding author), Tanvir Ahmed (0000-0001-8421-7626), Ahmed Jojan Nandonik (0000-0002-9942-6284), Anwar Parvez, Shangjucta Das Pooja (0000-0002-3853-4134), Zarina Nahar Kabir (0000-0003-0465-5701, Karolinska Institutet) |
| Year | 2023 |
| Volume | 11 |
| Pages | 1132136-1132136 |
| Publication date | 2023-02-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2023.1132136 |
| PMID | 36908471 |
| OpenAlex | W4321789030 |
| Language | EN |
| Citations received | 1 |
| References cited | 50 |
Introduction: The long-term impact of COVID-19 on mental health, particularly in relation to socio-economic vulnerabilities, has received little attention. This study reports the prevalence of mental health-related symptoms among previously hospitalized patients after recovery from COVID-19, and its association with socio-economic status (SES). Methods: Data collection of this cross-sectional study was conducted during February-April 2021, among previously hospitalized patients with COVID-19 like symptoms, on average six months after their discharge from the hospital. Using DASS-21, a validated scale to document symptoms of depression, anxiety, and stress, information on mental health-related symptoms were recorded from 481 respondents along with sociodemographic and economic information through telephone interviews. Chi-square tests were performed to identify significant group differences. Multinomial logistic regression analyzed the association between the changes in socioeconomic characteristics and mental health-related symptoms. Relative index of inequality (RII), slope index of inequality (SII), and concentration index (CIX) were applied to capture relevant inequalities in relation to mental health-related symptoms. Results: Eleven percent of the respondents reported changes in employment status, nearly half changes in income and expenditure. Forty-five percent reported symptoms of depression, anxiety and/or stress, and 12% reported coexistence of all three symptoms. Women [Adjusted Odds Ratio, AOR: 2.95; 95% Confidence Interval, CI: 1.39-5.68], and those who reported changes in occupation [AOR: 3.04; 95% CI: 1.01-9.08] and expenditure [AOR: 2.46; 95% CI: 1.12-5.37] were more likely to report all three mental health-related symptoms compared to men and those without changes in occupation and expenditure. The older age group was less likely [AOR: 0.96; 95%CI: 0.93-0.99] to report coexistence of all three symptoms compared to their younger counterparts. Negative values of concentration index (CIX) indicate that any one mental health-related symptom was significantly concentrated among those with lower expenditure and poor SES. Conclusion: This study will help in addressing mental health-related challenges after recovery from COVID-19 among the identified vulnerable groups through relevant community-based and clinical response, including counseling services, in Bangladesh and similar LMIC contexts
Anxiety · Confidence interval · Cross-sectional study · Environmental health · Mental health · Multinomial logistic regression · Odds ratio · Population · Psychiatry · Socioeconomic status · COVID-19 and Mental Health · Demography · Long-Term Effects of COVID-19 · Medicine · Mental Health Treatment and Access · Internal Medicine
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |