Erica Costa Rodrigues Ph.D. , Raquel de Deus Mendonça Ph.D. , Priscila Pena Camargo M.D. , Adriana Lúcia Meireles Ph.D.
{"title":"Reduction of food insecurity over time: An unattainable reality for the poorest families?","authors":"Erica Costa Rodrigues Ph.D. , Raquel de Deus Mendonça Ph.D. , Priscila Pena Camargo M.D. , Adriana Lúcia Meireles Ph.D.","doi":"10.1016/j.nut.2025.112738","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Food insecurity (FI), associated with inadequate access to food, reflects social inequality. Shifts in sociodemographic factors significantly impact household FI. This study initially hypothesized that the progression of the COVID-19 pandemic would exacerbate socioeconomic challenges, thereby influencing the trends and responses related to FI within the studied population.</div></div><div><h3>Objective</h3><div>This study examines how social and demographic factors associated with FI change in an important population group during a health crisis, identifying vulnerable groups.</div></div><div><h3>Methods</h3><div>This longitudinal study analyzed a random sample of students from public schools in two Brazilian municipalities. Data were collected at 9-month intervals at four time points (T0, T1, T2, and T3) between 2020 and 2022. FI was measured using the Brazilian Food Insecurity Scale (BFIS) and analyzed as a discrete numerical variable (BFIS score -0 to 14 points). Comparisons across time points were analyzed using the paired Wilcoxon test. A generalized linear mixed model assessed the relationship between BFIS score and social and demographic variables over time.</div></div><div><h3>Results</h3><div>The average BFIS scores declined from 2.9 at T0 to 2.7 at T1; to 2.2 at T2 and T3, with significant differences between T0 and T2/T3 (<em>P</em> < 0.001), and T1 and T2/T3 (<em>P</em> = 0.017). Higher BFIS scores were associated with families earning less than or equal to half the minimum wage Rate Ratio (RR) =4.93 [95% CI: 3.81–6.36], enrolled in social programs RR =1.14 [95% CI: 1.02–3.81], receiving emergency aid RR =1.15 [95% CI: 1.04–1.28] or food baskets RR=1.30 [95% CI: 1.18–1.43]. Families headed by Black/Brown individuals and women had higher BFIS scores, as did those headed by single individuals and those with low educational attainment.</div></div><div><h3>Conclusion</h3><div>There was no reduction in the average BFIS score for 2020 and 2022 for extremely poor families, despite improvements in other socioeconomic indicators. Families enrolled in social programs, beneficiaries of emergency aid, and households headed by women and black people experienced higher average BFIS scores, highlighting factors in the complex dynamics of FI during COVID-19 and a dynamically oscillating evolution in the sociodemographic landscape.</div></div>","PeriodicalId":19482,"journal":{"name":"Nutrition","volume":"135 ","pages":"Article 112738"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0899900725000565","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
Food insecurity (FI), associated with inadequate access to food, reflects social inequality. Shifts in sociodemographic factors significantly impact household FI. This study initially hypothesized that the progression of the COVID-19 pandemic would exacerbate socioeconomic challenges, thereby influencing the trends and responses related to FI within the studied population.
Objective
This study examines how social and demographic factors associated with FI change in an important population group during a health crisis, identifying vulnerable groups.
Methods
This longitudinal study analyzed a random sample of students from public schools in two Brazilian municipalities. Data were collected at 9-month intervals at four time points (T0, T1, T2, and T3) between 2020 and 2022. FI was measured using the Brazilian Food Insecurity Scale (BFIS) and analyzed as a discrete numerical variable (BFIS score -0 to 14 points). Comparisons across time points were analyzed using the paired Wilcoxon test. A generalized linear mixed model assessed the relationship between BFIS score and social and demographic variables over time.
Results
The average BFIS scores declined from 2.9 at T0 to 2.7 at T1; to 2.2 at T2 and T3, with significant differences between T0 and T2/T3 (P < 0.001), and T1 and T2/T3 (P = 0.017). Higher BFIS scores were associated with families earning less than or equal to half the minimum wage Rate Ratio (RR) =4.93 [95% CI: 3.81–6.36], enrolled in social programs RR =1.14 [95% CI: 1.02–3.81], receiving emergency aid RR =1.15 [95% CI: 1.04–1.28] or food baskets RR=1.30 [95% CI: 1.18–1.43]. Families headed by Black/Brown individuals and women had higher BFIS scores, as did those headed by single individuals and those with low educational attainment.
Conclusion
There was no reduction in the average BFIS score for 2020 and 2022 for extremely poor families, despite improvements in other socioeconomic indicators. Families enrolled in social programs, beneficiaries of emergency aid, and households headed by women and black people experienced higher average BFIS scores, highlighting factors in the complex dynamics of FI during COVID-19 and a dynamically oscillating evolution in the sociodemographic landscape.
期刊介绍:
Nutrition has an open access mirror journal Nutrition: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
Founded by Michael M. Meguid in the early 1980''s, Nutrition presents advances in nutrition research and science, informs its readers on new and advancing technologies and data in clinical nutrition practice, encourages the application of outcomes research and meta-analyses to problems in patient-related nutrition; and seeks to help clarify and set the research, policy and practice agenda for nutrition science to enhance human well-being in the years ahead.