<p>Malnutrition, in all its forms, is one of the leading global challenges. The intersection of gender and race-based oppression can negatively influence the burden of malnutrition. Likewise, nutritional outcomes can affect each other, as seen in the relationship between food insecurity and underweight or obesity. In this study, our aim was to understand how the impact of food insecurity on underweight, overweight, and obesity varies across gender and race categories. To achieve this, we used data from a nationally representative Brazilian nutritional survey and conducted a multinomial logistic regression model to estimate Odds Ratios and 95% Confidence Intervals. White women in food insecurity showed higher odds of developing obesity (1.40, CI95 1.10–1.77), while Black women simultaneously presented higher odds of presenting both underweight (1.41, CI95 1.00-1.98) and obesity (1.42, CI95 1.16–1.73), relatively White man in food security. We demonstrated that the effect of food insecurity on malnutrition, at a population level, can vary according to individuals’ gender and race. Thus, we conclude that promoting food and nutrition security could reduce gender and race disparities in nutritional outcomes.</p>

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Black women facing food insecurity are more vulnerable to the double burden of malnutrition in Brazil: evidence from Brazilian National Dietary Survey

  • Sávio Marcelino Gomes,
  • Aline Martins de Carvalho,
  • Alisson Diego Machado,
  • Eduardo De Carli,
  • Mariana Alves Ferreira,
  • Michelle Cristine Medeiros Jacob,
  • Dirce Maria Lobo Marchioni

摘要

Malnutrition, in all its forms, is one of the leading global challenges. The intersection of gender and race-based oppression can negatively influence the burden of malnutrition. Likewise, nutritional outcomes can affect each other, as seen in the relationship between food insecurity and underweight or obesity. In this study, our aim was to understand how the impact of food insecurity on underweight, overweight, and obesity varies across gender and race categories. To achieve this, we used data from a nationally representative Brazilian nutritional survey and conducted a multinomial logistic regression model to estimate Odds Ratios and 95% Confidence Intervals. White women in food insecurity showed higher odds of developing obesity (1.40, CI95 1.10–1.77), while Black women simultaneously presented higher odds of presenting both underweight (1.41, CI95 1.00-1.98) and obesity (1.42, CI95 1.16–1.73), relatively White man in food security. We demonstrated that the effect of food insecurity on malnutrition, at a population level, can vary according to individuals’ gender and race. Thus, we conclude that promoting food and nutrition security could reduce gender and race disparities in nutritional outcomes.