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首页> 外文期刊>International Journal of Food Sciences and Nutrition >Statistical model for predicting non-heme iron bioavailability from vegetarian meals.
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Statistical model for predicting non-heme iron bioavailability from vegetarian meals.

机译:从素食中预测非血红素铁生物利用度的统计模型。

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Availability of non-haem iron has been extensively discussed when meals comprise haem as well as non-haem iron, but seldom so for exclusively vegetarian meals. The present study aimed to develop a statistical model for predicting non-haem iron availability from a composite vegetarian meal. Radioisotopic measurements of in vitro iron dialysability of 208 out of 274 meals representing vegetarian diets from Asia, Africa, Europe and Latin America and the meal contents of iron, zinc, copper, ascorbic acid, beta -carotene, riboflavin, thiamin, folic acid, tannic acid, fibre and degraded phytate forms (IP6-IP1) were used for development of the model. A multiple regression model weighted for calorie contents was developed for the percentage iron dialysability with the possible predictors as meal contents along with plausible interaction terms. The model was validated with in vitro iron dialysability of 66 meals and in vivo iron absorption in five ileostomized adults. Application of the model was demonstrated using data on the daily dietary intake of 215 young adults whose haemoglobin levels were estimated twice in 3 weeks. Weighted multiple regression model was: ln(% Fe dialysability)=1.340-0.259x ln(IP2 [mg])+0.188 x ln(IP3 [mg])-0.278 x ln(IP5 [mg])+0.0912 x ln(ascorbic acid [mg])+0.06693 x ln(tannins [mg])+0.09552 x ln( beta -carotene [ micro g])+0.137 x ln(hemicellulose [g]) (P<0.01, R2=0.51). Good agreement was seen between observed and predicted dialysability (r=0.90) and human absorption (r=0.89). The model would be useful to estimate bioavailable iron intakes of vegetarian populations and to identify at-risk individuals..
机译:当膳食既包含血红素铁又包含非血红素铁时,非血红素铁的可用性已被广泛讨论,但仅素食餐很少。本研究旨在开发一种统计模型,用于预测复合素食中非血红素铁的有效性。 274种膳食中的208种放射性铁同位素示踪,这些膳食分别代表亚洲,非洲,欧洲和拉丁美洲的素食,以及膳食中铁,锌,铜,抗坏血酸,β-胡萝卜素,核黄素,硫胺素,叶酸,单宁酸,纤维和降解的植酸盐形式(IP6-IP1)用于模型开发。建立了以卡路里含量加权的多元回归模型,计算出铁的可透析性百分比,其中可能的预测指标为膳食含量以及可能的相互作用项。该模型已通过五餐经回肠切除的成年人体内66餐的体外铁透析性和体内铁吸收进行了验证。使用有关215名年轻人的日常饮食摄入量的数据证明了该模型的应用,他们在3周内两次估计了血红蛋白水平。加权多元回归模型为:ln(Fe透析百分比)= 1.340-0.259x ln(IP2 [mg])+ 0.188 x ln(IP3 [mg])-0.278 x ln(IP5 [mg])+ 0.0912 x ln(抗坏血酸)酸[mg])+ 0.06693 x ln(单宁[mg])+ 0.09552 x ln(β-胡萝卜素[微克])+ 0.137 x ln(半纤维素[g])(P <0.01,R2 = 0.51)。在观察到的和预计的透析性(r = 0.90)与人体吸收(r = 0.89)之间可以看到良好的一致性。该模型将有助于估计素食人口的生物可利用铁摄入量,并确定高危人群。

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