Related Experiment Video
Updated: Jan 8, 2026

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
Published on: July 29, 2020
Food insecurity and associated factors during the COVID-19 pandemic in a vulnerable population in Rio de Janeiro: A
Alessandra C V Meireles1, Paula M Luz2, Daniel Csillag3
1Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Abstract:
Despite documented increases in food insecurity (FI) during the COVID-19 pandemic, the specific impact on highly vulnerable households within distinct urban contexts, as well as the interplay of various household-level factors in exacerbating this vulnerability, remain understudied. This study investigated FI prevalence and household-level factors associated with moderate/severe FI in Complexo de Manguinhos, a complex of slums in Rio de Janeiro, Brazil, during the COVID-19 pandemic. The Comvida-1 survey was conducted between September/2020 and February/2021 and included individuals aged ≥1 year. FI was measured using the Brazilian Food Insecurity Scale. Multiple Correspondence Analysis (MCA) identified associations between household variables (family composition, income, welfare benefits, job/income losses). Multilevel logistic regression assessed associations between the dimensions identified by the MCA and moderate/severe FI. Among 3864 households, moderate/severe FI prevalence was 14.7% (95% confidence interval [CI]: 13.5-15.9) and ranged from 4 to 28% across the 16 slums comprised in the Complexo de Manguinhos. Two MCA dimensions were associated with FI: Dimension 1 represented chronic socioeconomic vulnerability, with highest contributions from Bolsa Família benefit (10.73%), multiple children in Bolsa Família (9.56%), and presence of children in the household (6.84%). Dimension 4 captured acute COVID-19 economic impacts, including job/income loss (17.24%), reduced working hours (11.44%), and reduced family income (11.30%). Each dimension increased the odds of moderate/severe FI by approximately three-fold (Dimension 1 adjusted odds ratio [aOR]=2.72, 95%CI: 2.19-3.38; Dimension 4 aOR=3.32, 95%CI: 2.42-4.55, both p < 0.001). Both chronic socioeconomic vulnerability and acute COVID-19 economic shocks significantly predicted moderate/severe FI through distinct pathways. Dimension 1 reflected structural inequities from long-term poverty; Dimension 4 captured sudden economic instability. Effective interventions require layered approaches: strengthening social protections for chronic vulnerability (e.g., enhanced Bolsa Família benefits for families with children) while implementing rapid-response mechanisms for economic crises (e.g., emergency cash transfers and job retention programs).
More Related Videos
Related Concept Videos
Lifestyle Factors and Health
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Factors Affecting the Risk of Infection
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
Bias in Epidemiological Studies
Primary Motives: Hunger and Thirst
Hunger arises when the brain detects changes in the body's nutrient levels, including glucose, lipids, amino acids, and hormones such as ghrelin and leptin. The hypothalamus plays a central role in hunger regulation. The lateral hypothalamus...
Assessment of the Gastrointestinal System II: Health Perception Pattern
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:

