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Article

Estimation of the Burden of Iron Deficiency Anemia in France from Iron Intake: Methodological Approach

1
Secalim, INRA, Oniris, Université Bretagne Loire, 44307 Nantes, France
2
Service de nutrition et gastroentérologie pédiatriques, hôpital Trousseau, Sorbonne Université, AP–HP, 75012 Paris, France
3
INRA, ToxAlim (Research Centre in Food Toxicology), Université de Toulouse, INRA, ENVT, INP-Purpan, UPS, 31027 Toulouse, France
*
Author to whom correspondence should be addressed.
Nutrients 2019, 11(9), 2045; https://doi.org/10.3390/nu11092045
Received: 24 July 2019 / Revised: 26 August 2019 / Accepted: 27 August 2019 / Published: 1 September 2019
Dietary iron deficiency (ID) is the first nutritional deficiency in the world, in terms of disability adjusted life years (DALY). This nutritional deficiency may lead to anemia, especially among children, adolescents, and adult women. The aim of this study was to build an original probabilistic model to quantitatively assess the ID, the iron deficiency anemia (IDA) and the subsequent health burden in France expressed in DALY, per age class and gender. The model considered the distribution of absorbed iron intake, the iron requirement distribution established by the European Food Safety Authority and the iron status in France. Uncertainty due to lack of data and variability due to biological diversity were taken into account and separated using a second-order Monte Carlo procedure. A total of 1290 (95% CI = 1230–1350) IDA cases corresponding to 16 (95% CI = 11–20) DALY were estimated per 100,000 individuals per year. The major contributors to IDA burden were menstruating females aged from 25 to 44 years old. Then, a consumption scenario was built with ground beef as intake, an increase in red meat consumption to 100 g/d would not eliminate entirely the IDA burden. The quantitative methodology applied here for France could be reused for other populations. View Full-Text
Keywords: iron deficiency; anemia; risk assessment; probabilistic model; second-order Monte Carlo simulation; DALY iron deficiency; anemia; risk assessment; probabilistic model; second-order Monte Carlo simulation; DALY
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MDPI and ACS Style

De Oliveira Mota, J.; Tounian, P.; Guillou, S.; Pierre, F.; Membré, J.-M. Estimation of the Burden of Iron Deficiency Anemia in France from Iron Intake: Methodological Approach. Nutrients 2019, 11, 2045. https://doi.org/10.3390/nu11092045

AMA Style

De Oliveira Mota J, Tounian P, Guillou S, Pierre F, Membré J-M. Estimation of the Burden of Iron Deficiency Anemia in France from Iron Intake: Methodological Approach. Nutrients. 2019; 11(9):2045. https://doi.org/10.3390/nu11092045

Chicago/Turabian Style

De Oliveira Mota, Juliana, Patrick Tounian, Sandrine Guillou, Fabrice Pierre, and Jeanne-Marie Membré. 2019. "Estimation of the Burden of Iron Deficiency Anemia in France from Iron Intake: Methodological Approach" Nutrients 11, no. 9: 2045. https://doi.org/10.3390/nu11092045

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