Objectives: to investigate sociodemographic and economic factors associated with food insecurity among pregnant women assisted by the universal healthcare network of Lavras, Minas Gerais. Methods: a cross-sectional study investigated socioeconomic and demographic, obstetric, and nutritional conditions experienced by pregnant women. Households in which pregnant women lived were classified as food secure or food insecure using the Brazilian Food Insecurity Scale. Prevalence estimates and prevalence ratios with 95% confidence intervals were generated to test for associations between food insecurity and several socioeconomic and demographic indicators using Poisson regression analysis. Results: among 173 pregnant women who participated in the study, 48% lived in households with some level of food insecurity. Adjusted models showed that pregnant women living in food-insecure households had higher prevalence ratios of lower education attainment (aPR = 1.43, CI95% = 1.07-1.91), woman being the head of the household (aPR = 1.39, CI95% = 1.02-1.87), having family monthly income lower than 1 ½ MW (aPR = 1.68, CI95% = 1.11-2.52) and participating in the government cash transfer program (aPR = 1.47, CI95% = 1.08-1.99). Conclusions: the high prevalence of food insecurity in pregnant women assisted by the public healthcare system was associated with structural social factors. Results of this study will contribute to develop an intersectoral health and nutrition policy in order to promote food security among marginalized communities and vulnerable populations, such as pregnant women.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.