Martínez Steele Eurídice, Monteiro Carlos A
Department of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-907, Brazil.
Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo 01246-907, Brazil.
Nutrients. 2017 Feb 28;9(3):209. doi: 10.3390/nu9030209.
The aim of this study was to examine the relationship between dietary contribution of ultra-processed foods and urinary phytoestrogen concentrations in the US. Participants from cross-sectional 2009-2010 National Health and Nutrition Examination Survey aged 6+ years, selected to measure urinary phytoestrogens and with one 24-h dietary recall were evaluated (2692 participants). Food items were classified according to NOVA (a name, not an acronym), a four-group food classification based on the extent and purpose of industrial food processing. Ultra-processed foods are formulations manufactured using several ingredients and a series of processes (hence "ultra-processed"). Most of their ingredients are lower-cost industrial sources of dietary energy and nutrients, with additives used for the purpose of imitating sensorial qualities of minimally processed foods or of culinary preparations of these foods. Studied phytoestrogens included lignans (enterolactone and enterodiol) and isoflavones (genistein, daidzein, -desmethylangolensin and equol). Gaussian regression was used to compare average urinary phytoestrogen concentrations (normalized by creatinine) across quintiles of energy share of ultra-processed foods. Models incorporated survey sample weights and were adjusted for age, sex, race/ethnicity, family income, and education, among other factors. Adjusted enterodiol geometric means decreased monotonically from 60.6 in the lowest quintile to 35.1 µg/g creatinine in the highest, while adjusted enterolactone geometric means dropped from 281.1 to 200.1 across the same quintiles, respectively. No significant linear trend was observed in the association between these quintiles and isoflavone concentrations. This finding reinforces the existing evidence regarding the negative impact of ultra-processed food consumption on the overall quality of the diet and expands it to include non-nutrients such as lignans.
本研究旨在探讨美国超加工食品的饮食贡献与尿中植物雌激素浓度之间的关系。选取了2009 - 2010年全国健康与营养检查调查中年龄在6岁及以上的横断面研究参与者,这些参与者被选来测量尿中植物雌激素,并进行了一次24小时饮食回顾(共2692名参与者)。食品根据NOVA(一个名称,非首字母缩写)进行分类,NOVA是一种基于工业食品加工程度和目的的四级食品分类方法。超加工食品是使用多种成分和一系列工艺制造的配方食品(因此称为“超加工”)。它们的大多数成分是低成本的工业膳食能量和营养来源,并使用添加剂来模仿最少加工食品或这些食品烹饪制剂的感官特性。研究的植物雌激素包括木脂素(肠内酯和肠二醇)和异黄酮(染料木黄酮、大豆苷元、去甲基安哥拉紫檀素和雌马酚)。采用高斯回归比较超加工食品能量份额五分位数组中尿中植物雌激素平均浓度(经肌酐标准化)。模型纳入了调查样本权重,并针对年龄、性别、种族/民族、家庭收入和教育程度等因素进行了调整。调整后的肠二醇几何均值从最低五分位数组的60.6单调下降至最高五分位数组的35.1µg/g肌酐,而调整后的肠内酯几何均值在相同的五分位数组中分别从281.1降至200.1。在这些五分位数组与异黄酮浓度之间未观察到显著的线性趋势。这一发现强化了关于食用超加工食品对饮食总体质量有负面影响的现有证据,并将其扩展到包括木脂素等非营养素。