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Statistical model for predicting non-heme iron bioavailability from vegetarian meals.
- Source :
-
International journal of food sciences and nutrition [Int J Food Sci Nutr] 2006 Nov-Dec; Vol. 57 (7-8), pp. 434-50. - Publication Year :
- 2006
-
Abstract
- Availability of non-heme iron has been extensively discussed when meals comprise heme as well as non-heme iron, but seldom so for exclusively vegetarian meals. The present study aimed to develop a statistical model for predicting non-heme iron availability from a composite vegetarian meal. Radioisotopic measurements of in vitro iron dialyzability 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, fiber 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 dialyzability with the possible predictors as meal contents along with plausible interaction terms. The model was validated with in vitro iron dialyzability 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 hemoglobin levels were estimated twice in 3 weeks. Weighted multiple regression model was: ln(% Fe dialyzability)=1.340-0.259xln(IP2 [mg])+0.188xln(IP3 [mg])-0.278xln(IP5 [mg])+0.0912xln(ascorbic acid [mg])+0.06693xln(tannins [mg])+0.09552xln(beta-carotene [microg])+0.137xln(hemicellulose [g]) (P<0.01, R2=0.51). Good agreement was seen between observed and predicted dialyzability (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.
- Subjects :
- Adult
Ascorbic Acid analysis
Biological Availability
Female
Folic Acid analysis
Hemoglobins analysis
Humans
Intestinal Absorption
Male
Micronutrients analysis
Phytic Acid analysis
Polysaccharides analysis
Tannins analysis
Trace Elements analysis
Zinc analysis
beta Carotene analysis
Diet, Vegetarian
Iron metabolism
Models, Statistical
Nonheme Iron Proteins metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 0963-7486
- Volume :
- 57
- Issue :
- 7-8
- Database :
- MEDLINE
- Journal :
- International journal of food sciences and nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 17162323
- Full Text :
- https://doi.org/10.1080/09637480600836833