Gendered socio-economic and mental health effects of the COVID-19 pandemic among adults living in selected informal settlements in Kenya: an intersectional analysis.
| Autor: | Mwanga DM; African Population and Health Research Center, Nairobi, Kenya.; Department of Mathematics, University of Nairobi, Nairobi, Kenya., Odero HO; African Population and Health Research Center, Nairobi, Kenya., Kadengye DT; African Population and Health Research Center, Nairobi, Kenya.; Department of Economics and Statistics, Kabale University, Kabale, Uganda., Odunga SA; African Population and Health Research Center, Nairobi, Kenya., Muluve E; Population Council, Nairobi, Kenya., Mugotitsa B; African Population and Health Research Center, Nairobi, Kenya., Wafubwa RN; Population Council, Nairobi, Kenya., Austrian K; Population Council, Nairobi, Kenya., Kiwuwa-Muyingo S; African Population and Health Research Center, Nairobi, Kenya. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in public health [Front Public Health] 2024 Oct 29; Vol. 12, pp. 1469091. Date of Electronic Publication: 2024 Oct 29 (Print Publication: 2024). |
| DOI: | 10.3389/fpubh.2024.1469091 |
| Abstrakt: | Background: COVID-19 pandemic had devastating socio-economic and health effects, including mental health. This study examines the intersectionality between gender and mental health outcomes among Kenyan adults in informal settlements of Nairobi, Kisumu, and Kilifi Counties during the COVID-19 crisis. This is necessary to inform mental health response in case of another pandemic. Methods: We analyzed data collected in a longitudinal survey between July 2020 (fourth round) and February 2021 (fifth round). The data covered COVID-19-related effects on job loss, food insecurity, access to health services, and mental health. Participants were randomly sampled from existing cohorts at the Population Council. The outcomes of interest were depressive and anxiety disorders, combined into a binary composite outcome variable. Descriptive statistics included means for continuous variables and frequencies and proportions for categorical variables. Chi-square tests were used to examine the differences between groups. The relationship between the gendered COVID-19 socio-economic effects and participants' mental health was examined using modified Poisson regression. Results: A total of 4,050 participants were interviewed, 66% female and median age 38 [interquartile range (IQR): 29-46]. Complete income loss was strongly associated with negative mental health outcomes in multiple intersections with varied magnitudes. The association was larger among older females (≥50 years) (PR = 1.33, 95% CI = 1.17-1.51, p < 0.001) than older males (PR = 1.22, 95% CI = 1.17-1.27, p < 0.001). Partial loss of income was protective against negative mental health outcomes among young males (18-29 years) (PR = 0.81, 95% CI = 0.76-0.87, p < 0.001) but linked to negative outcomes among middle-aged males (30-49 years old) (PR = 1.14, 95% CI = 1.12-1.16, p < 0.001). Skipping meals was associated with negative mental health outcomes for both genders particularly the married (married male: PR = 1.49, 95% CI = 1.22-1.83, p < 0.001; married female: PR = 1.42, 95% CI = 1.26-1.60, p < 0.001). Conclusion: We observed significant gender differences in the prevalence of depressive symptoms and anxiety disorders during the COVID-19 pandemic, underscoring the importance of socio-economic factors and health services access in shaping mental health outcomes. Interventions targeting pandemic-related mental health issues should be gender-sensitive and address economic vulnerabilities such as job losses and food insecurity. Policies to mitigate these effects, especially for at-risk groups are crucial for reducing mental health burden in future crises. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Mwanga, Odero, Kadengye, Odunga, Muluve, Mugotitsa, Wafubwa, Austrian and Kiwuwa-Muyingo.) |
| Databáze: | MEDLINE |
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