ArticleFoods (Basel, Switzerland)2024
Household Food Insecurity During the COVID-19 Pandemic Between Slum and Non-Slum Areas in Kinshasa, DR Congo: A Cross-Sectional Study.
Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Dietary and non-dietary factors of undernutrition using Composite Index of Anthropometric Failure in children aged 6-23 months in Democratic Republic of the Congo: the 2023 National Nutrition Survey.BMJ nutrition, prevention & health · 2026Article
- Factors Associated with Being on Track for Early Childhood Development in Kinshasa: A Community-Based Cross-Sectional Study.Children (Basel, Switzerland) · 2025Article
- Is Vitamin A Supplementation Campaign Still Justified? A Qualitative Study Exploring Insights From Policymakers and Programme Planners in the Democratic Republic of the Congo.Journal of nutrition and metabolism · 2025Article
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7 authors.
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Abstract
introductionFood insecurity is a vital issue, especially in places such as Kinshasa. Additionally, food insecurity has been worsened by the COVID-19 pandemic, particularly in low- and middle-income countries. Thus, this study examined food insecurity in Kinshasa after the peak of the pandemic to understand the impact of post-pandemic recovery efforts as well as the heterogeneity of this problem according to the residence of respondent (slum vs. non-slum areas).
methodsGrounded in the four key dimensions of food security (availability, access, vulnerability, and utilization), this cross-sectional study was conducted in Kinshasa with a representative sample of 2170 households selected from 62 enumeration areas. We used a questionnaire to interview participants about their food situations. Interviews were conducted with the head of each household or their designated representative by 150 master's students using tablets powered by the SurveyCTO application. Household food security status was evaluated using the Household Food Insecurity Access Scale. A logistic regression model was developed to assess household risk factors associated with food insecurity.
resultsMost people we talked to were over 40 years old, and many lived in households with fewer than six people. About a third of the households were overcrowded. The prevalence of food insecurity was 76.5% (95%CI: 74.6-78.3). Factors associated with food insecurity included being a household head aged over 50 years, insufficient living space, lower socioeconomic status, and residing in slum areas (AOR: 1.38; 95% CI: 1.06-1.79).
conclusionsVulnerable groups, such as slum residents, older adults, and informal workers are more likely to be affected by food insecurity. Addressing these challenges requires the government to develop targeted strategies that bolster resilience and mitigate household vulnerability during crises.
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