Food Insecurity Reduces the Chance of Following a Nutrient-Dense Dietary Pattern by Brazilian Adults: Insights from a Nationwide Cross-Sectional Survey

• Published in: Nutrients Vol. 14; no. 10; p. 2126
• Main Authors: Castro, Michelle Alessandra de, Fontanelli, Mariane de Mello, Nogueira-de-Almeida, Carlos Alberto, Fisberg, Mauro
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 19-05-2022; MDPI
• Subjects: Adult; Adults; Beverages; Brazil; Censuses; Coronaviruses; COVID-19; cross-sectional analyses; Cross-Sectional Studies; diet surveys; dietary patterns; Expenditures; Factor analysis; Food groups; Food Insecurity; Food security; Fruits; Households; Humans; Meat; Moving & housing expenses; Nutrients; Pandemics; Population; Prepared foods; Regression analysis; Sociodemographics; Software; Vegetables; Brazil; Brazil; diet surveys; cross-sectional analyses; food insecurity; adults; dietary patterns
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu14102126

Dietary patterns derived by data-driven techniques are still scarce in the food security context and may be a useful tool to inform policymakers to promote adequate and healthy diets for vulnerable populations. We investigated the association between food security status and dietary patterns among 28,127 Brazilian adults using data from the 2017-2018 Household Budget Survey. Food security status was measured by the Brazilian Food Insecurity Scale. Food items reported in two 24 h dietary recalls were combined into food groups. Dietary patterns were derived from exploratory factor analysis, and participants were grouped according to their factor scores by K-means cluster analysis. Multiple logistic regression models were fitted to investigate the association between food security status and clusters of adherence to dietary patterns. Four dietary patterns were derived: 'Brazilian breakfast style' (cluster 3), 'Brazilian Traditional staple foods' (cluster 2), 'Beverages, ready-to-eat and convenience foods' (cluster 4), and 'Fruits, vegetables, and whole grains' (cluster 1). After adjustments, food insecurity was inversely associated with adherence to the 'Fruits vegetables, and whole grains' pattern (OR = 0.75, 95% CI: 0.63-0.89). Findings suggest food insecurity negatively impact the adoption of a nutrient-dense dietary pattern and highlight the critical role of policy actions in a scenario of increasing food insecurity.