Santos Lissandra Amorim, Ferreira Aline Alves, Pérez-Escamilla Rafael, Sabino Lia Lucia, Oliveira Livia Gomes de, Salles-Costa Rosana
Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil.
Yale School of Public Health, New Haven, U.S.A.
Cad Saude Publica. 2023 Jan 6;38(11):e00130422. doi: 10.1590/0102-311XPT130422. eCollection 2023.
Food insecurity is distributed unequally throughout Brazilian regions. This study aims to investigate the intersections of gender and skin color/race in the cases of food insecurity in households across Brazil. Microdata from the 2018 Brazilian Household Budgets Survey (POF) were used, with a sample of 57,920 households. Food insecurity levels were compared to profiles created from the intersection of gender (man and woman) and skin color/race: white man, white woman, mixed-race man, mixed-race woman, black man, and black woman. Prevalence ratios (PR) were estimated using Poisson regression models to investigate the association of profiles with moderate/severe food insecurity, separated by macroregion. The North had the worst proportions of all food insecurity levels (57%), followed by Northeast (50.4%). The North, Northeast, and Central-West macroregions had prevalence of moderate/severe food insecurity up to five times higher among households headed by women compared to those headed by men (p < 0.001). Moderate/severe food insecurity was associated to households headed by black women in all macroregions of Brazil, but prevalence ratios in Southeast were higher compared to other regions for mixed-race women (PR = 1.16; 95%CI: 1.13-1.20), while the PR was higher in South for black women (PR = 1.17; 95%CI: 1.13-1.21). Outcomes suggest that the intersectional food insecurity data in Brazil - focused on gender, skin color/race and macroregion of residence - should be considered for policies aimed at reducing hunger and related issues.
粮食不安全状况在巴西各地区分布不均。本研究旨在调查巴西家庭粮食不安全案例中性别与肤色/种族的交叉情况。使用了2018年巴西家庭预算调查(POF)的微观数据,样本为57920户家庭。将粮食不安全水平与由性别(男性和女性)和肤色/种族交叉形成的特征进行比较:白人男性、白人女性、混血男性、混血女性、黑人男性和黑人女性。使用泊松回归模型估计患病率比(PR),以调查各特征与中度/重度粮食不安全之间的关联,并按大区进行划分。北部地区所有粮食不安全水平的比例最高(57%),其次是东北部(50.4%)。与男性户主家庭相比,北部、东北部和中西部大区由女性户主的家庭中,中度/重度粮食不安全的患病率高出五倍(p < 0.001)。在巴西所有大区,中度/重度粮食不安全都与黑人女性户主的家庭有关,但东南部混血女性的患病率比(PR = 1.16;95%CI:1.13 - 1.20)高于其他地区,而南部黑人女性的患病率比更高(PR = 1.17;95%CI:1.13 - 1.21)。研究结果表明,在制定旨在减少饥饿及相关问题的政策时,应考虑巴西关注性别、肤色/种族和居住大区的交叉性粮食不安全数据。