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Quantitating Iron Transport Across the Mouse Placenta In Vivo Using Nonradioactive Iron Isotopes

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Iron deficiency in infancy: applying a physiologic framework for prediction.

Betsy Lozoff¹, Niko Kaciroti, Tomás Walter

¹Center for Human Growth and Development, University of Michigan, Ann Arbor, MI 48109-0406, USA. blozoff@umich.edu

The American Journal of Clinical Nutrition

|December 13, 2006

Summary

Infant iron deficiency is common. Predictors vary with iron supplementation, highlighting the need for early iron status data in research comparisons.

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Area of Science:

Pediatrics
Nutritional Science
Hematology

Background:

Infants aged 6-24 months face significant risk of iron deficiency.
Identifying predictors of iron deficiency in this age group is crucial for public health.

Purpose of the Study:

To apply a physiologic model to identify iron deficiency risk factors in infants.
To evaluate how iron supplementation affects these risk factors.

Main Methods:

A study of 1657 Chilean infants (12 months old) randomly assigned to different iron supplementation groups.
Analysis of venous blood biomarkers including hemoglobin, ferritin, and mean corpuscular volume.
Logistic regression models used to identify predictors of iron deficiency anemia and iron deficiency without anemia.

Main Results:

The prevalence of iron deficiency was 34.9% at 12 months.
Lower 6-month hemoglobin was the strongest predictor of iron deficiency.
Birth factors (weight, gestation) predicted deficiency in no-added-iron and high-iron groups, but predictors varied with supplementation.

Conclusions:

Predictors of infant iron deficiency differ based on iron supplementation levels.
Direct comparison of studies is challenging without consistent data on early iron status and supplementation conditions.