Covid-19 related factors to food security and dietary diversity among urban households in western Oromia, Ethiopia

COVID-19 effect on food security, livelihood, and mental health in affected households of Jashore, Bangladesh

Background

The COVID-19 pandemic has amplified concerns about global food insecurity, with dietary diversity emerging as a critical indicator of nutritional adequacy. These challenges have far-reaching implications for mental health, particularly in vulnerable populations.

Objective

This study delves into the intersection of post-COVID-19 household food insecurity, dietary diversity, and mental depression among affected households.

Methodology

A cross-sectional study conducted with a sample size of COVID 19 affected 500 households. Bivariate linear regression performed to establish associations with food insecurity, dietary diversity, and depression.

Result

The study found that only 33.4 % of households were food secure, while 40.8 % experienced moderate food insecurity. Most households (82.2 %) had a medium level of dietary diversity, and 45.6 % of respondents reported experiencing different level of depression. Urban residency, higher education, stable employment, and higher income were associated with lower food insecurity and better dietary diversity ((p < 0.05), whereas female-headed households, joint families, and older family heads had higher levels of depression. Job losses (63 %) and income reductions (69.8 %) during COVID-19 contributed significantly (p < 0.05) to increased food insecurity and depression. Households with stable jobs, higher incomes, and access to nutritional information enjoyed better food security, greater dietary diversity, and lower depression. In contrast, rising food prices and job changes worsened both food insecurity and mental health outcomes.

Conclusion

The COVID-19 pandemic has impacted food security, dietary diversity and mental health in Jashore, Bangladesh, exacerbating food insecurity and mental depression, especially among vulnerable groups. However, households with stable jobs, better education, and access to information fared better.

Determinants of household's dietary diversity during the COVID-19 pandemic: A community-based study in rural Southwestern Bangladesh

BACKGROUND

Inadequate dietary diversity is a significant challenge in public health for low-and middle-income countries, including rural communities in Bangladesh. These issues have intensified and become more tragic during the COVID-19 pandemic. This study evaluated the factors associated with household dietary diversity in rural Southwestern Bangladesh during the COVID-19 pandemic.

METHODS

This cross-sectional study used a structured questionnaire to collect data from 310 respondents using face-to-face interviews. Household Dietary Diversity Score (HDDS) and sociodemographic characteristics were calculated from the Food and Nutrition Technical Assistance III Project (FANTA) guidelines and related studies. A multinomial regression model was performed to identify factors associated with HDDS during the COVID-19 outbreak.

RESULT

The HDDS status of rural Southwestern households decreased (60.3%) during the initial COVID-19 pandemic. Socioeconomic factors including gender, level of education, occupation, household monthly income, and family size of the household head were significantly associated with dietary diversity. Additionally, income condition (RRR:5.46, 95% CI:2.73-7.47 and RRR:4.85, 95% CI:2.48-7.24), and dietary diversity knowledge of the household head (RRR:5.46, 95% CI:2.73-7.47, and RRR:4.85, 95% CI:2.48-7.24) were significantly associated with low and moderate HDDS during the COVID-19 pandemic.

CONCLUSION

This study found that households become more vulnerable to inadequate dietary diversity due to poor socioeconomic status during the COVID-19 pandemic. Based on the findings, public health workers should ensure adequate food access and proper food distribution among rural households and communities in this crisis to mitigate these negative consequences.

Food insecurity among low-income households in Addis Ababa, Ethiopia

With the rapid urbanization in developing countries, poverty and food insecurity are becoming increasing prevalent, posing a major challenge to urban areas. The COVID-19 pandemic induced job losses and reduced income combined with inflation have further exacerbated the household food insecurity situation, particularly in cities of low-income countries. Our study aims to assess the extent of food insecurity and its determinants among low-income household in Addis Ababa, Ethiopia. We conducted a community-based cross-sectional study among a sample of 578 households in Addis Ababa. We estimated the household food insecurity status using the Household Food Insecurity Access Scale (HFIAS). An ordinal logistic regression model was used to assess the relationship between household food insecurity status and the socioeconomic and demographic covariates. The STATA 14 software package was used for data analysis. We found that household food insecurity was prevalent among low-income households in Addis Ababa, with a prevalence rate of 92.4 % (95 % CI: 90.2-94.6 %). Of these households, 33.6 % (95 % CI: 29.7-37.4 %) were severely food insecure. To cope with the food shortage, households were forced to reduce their food quantity and quality. We also found that respondent's education, engagement in income generating activities, and household wealth were independently associated with household food insecurity. We conclude that although supporting people living below the poverty line (pro-poor) remains the top priority for social protection programs, adapting the program to accommodate the working poor (informal sector employees and casual workers) is crucial, especially during shocks.