Dussiot Alison, Fouillet Hélène, Wang Juhui, Salomé Marion, Huneau Jean-François, Kesse-Guyot Emmanuelle, Mariotti François
Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 75005, Paris, France.
Sorbonne Paris Nord University, Inserm, INRAE, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), 93017, Bobigny, France.
Am J Clin Nutr. 2022 Mar 4;115(3):958-969. doi: 10.1093/ajcn/nqab373.
Healthier dietary patterns involve more plant-based foods than current Western diets rich in animal products containing high amounts of bioavailable iron and zinc. Little consideration is given to the bioavailability of iron and zinc when studying healthy eating patterns.
Our aim was to determine whether currently estimated requirements for bioavailable iron and zinc limit the identification of healthier dietary patterns.
Using dietary data from a representative French survey and multicriteria nonlinear optimization, we identified diets that maximize health criteria based on food-based dietary guidelines and concomitantly depart only minimally from the observed diet while complying with all nutrient reference values either strictly (nonflexible optimization) or by allowing bioavailable iron and zinc below the current reference values, but to a limited extent (flexible optimization). Using a comparative risk assessment model, we estimated the resulting impact on cardiometabolic and colorectal cancer mortality/morbidity and changes to iron-deficiency anemia.
Under nonflexible optimization, reference values for bioavailable iron and zinc were the most binding of the 35 nutrient constraints, and modeled diets displayed considerable redistributions within grains and meat. With flexible optimization, modeled diets were healthier as they contained less red meat and more whole-grain products, but would increase iron-deficiency anemia to 5.0% (95% CI: 3.9%, 6.4%). Globally, in terms of disability adjusted life years (DALYs), as the loss due to anemia would represent <30% of the gain otherwise made on chronic diseases, adding flexibility in the iron and zinc reference values would result in a further 18% decrease in the disease burden from 84,768 [95% uncertainty interval (UI): 81,066, 88,470] to 99,689 (95% UI: 95,787, 103,591) DALYs averted.
Currently estimated requirements for bioavailable iron and zinc proved to be critical factors when modeling healthy eating patterns. Considering lower reference values enables the identification of diets that are apparently healthier overall.
更健康的饮食模式包含更多的植物性食物,这与当前富含动物产品的西方饮食不同,后者含有大量生物可利用铁和锌。在研究健康饮食模式时,很少考虑铁和锌的生物利用度。
我们的目的是确定目前对生物可利用铁和锌的估计需求量是否限制了对更健康饮食模式的识别。
利用来自一项具有代表性的法国调查的饮食数据和多标准非线性优化方法,我们确定了基于食物的饮食指南最大化健康标准的饮食,同时在仅最小程度偏离观察到的饮食的情况下,严格遵守所有营养素参考值(非灵活优化),或者允许生物可利用铁和锌低于当前参考值,但仅限于一定程度(灵活优化)。使用比较风险评估模型,我们估计了对心血管代谢和结直肠癌死亡率/发病率以及缺铁性贫血变化的影响。
在非灵活优化下,生物可利用铁和锌的参考值是35种营养素限制中最具约束力的,并且模拟饮食在谷物和肉类中显示出相当大的重新分配。通过灵活优化,模拟饮食更健康,因为它们含有更少的红肉和更多的全谷物产品,但会使缺铁性贫血增加到5.0%(95%置信区间:3.9%,6.4%)。总体而言,就伤残调整生命年(DALYs)而言,由于贫血导致的损失将占因慢性病获得的收益的不到30%,在铁和锌参考值中增加灵活性将导致疾病负担从84768[95%不确定区间(UI):81066,88470]进一步降低18%,至99689(95%UI:95787,103591)DALYs避免。
目前对生物可利用铁和锌的估计需求量在模拟健康饮食模式时被证明是关键因素。考虑较低的参考值能够识别出总体上明显更健康的饮食。