Graduate Program in Collective Health, Federal University of Espírito Santo, Vitória, ES, Brazil.
Department of Family Medicine, Mental and Collective Health, Federal University of Ouro Preto, Ouro Preto, MG, Brazil.
PLoS One. 2020 Oct 28;15(10):e0240756. doi: 10.1371/journal.pone.0240756. eCollection 2020.
We estimated the caloric contribution of minimally processed foods, processed culinary ingredients, processed foods and ultra-processed foods in Brazilian farmers' diets and their association with the nutritional profile of the diet. It is an epidemiological study of cross-sectional, analytical and quantitative design with 740 farmers adults of Southeastern Brazil. Food intake data were obtained by applying three 24-hour recalls and were classified according to the degree and purpose of processing. The largest caloric contribution came from the group of minimally processed foods (64.7%), followed by ultra-processed foods (17.7%), processed culinary ingredients (12.4%), and processed foods (5.2%). Individuals in the fourth quartile of caloric contribution from minimally processed foods showed lower energy consumption (β -0.16, P<0.001) and greater consumption of all 15 micronutrients analyzed. In contrast to what was identified for this food group, the higher caloric contribution from ultra-processed foods was associated with a greater caloric content of the diet (β 0.17, P<0.001) and lower consumption of all 23 analyzed nutrients. Therefore, the caloric contribution from the consumption of ultra-processed foods in the rural area is still lower than the national average. However, measures aimed at delaying isocaloric exchanges for the group of ultra-processed foods must be carried out, maintaining the local food culture, since this group had worse nutritional levels. In addition, incentives to the greater consumption of minimally processed foods should be carried out, due to their nutritional quality.
我们估计了巴西农民饮食中最低限度加工食品、加工烹饪原料、加工食品和超加工食品的热量贡献,并研究了它们与饮食营养状况的关系。这是一项横断面、分析和定量设计的流行病学研究,共有 740 名巴西东南部的成年农民参与。通过应用三次 24 小时回忆法获得食物摄入量数据,并根据加工程度和目的对其进行分类。热量贡献最大的是最低限度加工食品组(64.7%),其次是超加工食品组(17.7%)、加工烹饪原料组(12.4%)和加工食品组(5.2%)。最低限度加工食品组热量贡献处于第四四分位的个体,其能量消耗较低(β-0.16,P<0.001),15 种分析微量营养素的摄入量均较高。与该食品组不同,超加工食品热量贡献较高与饮食热量含量较高(β 0.17,P<0.001)和 23 种分析营养素的摄入量较低相关。因此,农村地区超加工食品消费的热量贡献仍低于全国平均水平。然而,必须采取措施延缓超加工食品组的等热量交换,同时保持当地的饮食文化,因为这组食品的营养水平较差。此外,还应鼓励更多地消费最低限度加工食品,因为其营养价值更高。