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The consumption of ultra-processed products is associated with the best socioeconomic level of the children’s families

机译:超处理产品的消费与儿童家庭的最佳社会经济水平有关

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The aim of this study was to evaluate the intake of ultra-processed foods and associated factors in prepubertal children. It is a cross-sectional study with 378 children aged 8 and 9 years enrolled in public and private schools in Vi?§osa-MG. Food intake was assessed by three 24-hour dietary recalls. Dietary data were entered into the Diet Pro?? 5i software to quantify energy intake. The Two-Step Cluster technique was used to analyze food consumption groups, with the Stata 13 software package. The foods were grouped and classified as “healthy” and “unhealthy” eating markers. The association between the sociodemographic variables and the groups formed was examined by Poisson Regression. Two food groups were formed: “healthy” and “unhealthy”. The caloric intake of ultra-processed foods was lower in the “healthy” group (20.5%) than in the “unhealthy” group (24.1%; P = 0.043). The multivariate model showed that private school children (PR = 1.25, P 0.001), who did not receive Bolsa Familia (PR = 1.13, P = 0.036) and had working mothers (PR = 1.38, P 0.001) had increased probability of unhealthy food consumption. Ultra-processed food intake was associated with greater purchasing power of families of prepubertal children.
机译:本研究的目的是评估预先加工的食物和预接种儿童的相关因素。这是一个横断面研究,有378名8岁和9岁儿童入学,聘请vi的公共和私立学校_§osa-mg。通过三个24小时膳食召回评估食物摄入量。饮食数据进入饮食数据? 5i软件量化能量摄入量。使用Stata 13软件包,使用两步集群技术分析食品消费组。食物被分组并归类为“健康”和“不健康”的饮食标志。通过泊松回归检查了社会渗透变量与组成的组之间的关联。两组食物群体形成:“健康”和“不健康”。在“健康”组(20.5%)中,超加工食品的热量摄入量低于“不健康”组(24.1%; P = 0.043)。多变量模型显示私人学校儿童(PR = 1.25,P <0.001),谁没有收到Bolsa Familia(Pr = 1.13,P = 0.036),并且曾经有母亲(Pr = 1.38,P <0.001)则增加了概率不健康的食物消费。超加工食品摄入与预接种儿童家庭的更多采购能力有关。

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