Prediction Model for Iron Status Finds No Strongly Predictive Factors

Serum iron levels can be important contributors to health outcomes, but it is not often feasible to measure blood iron in all study participants. Researchers examined whether factors measured in the Sister Study questionnaires, such as diet, supplement use, recency of blood donation, and medical conditions, could be used to predict iron status. However, none of the examined factors were strongly predictive. Any future prediction models should consider unmeasured factors, including but not limited to: concurrent environmental exposures, temporal factors, and genetic variations in absorption and storage.

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Development and validation of a prediction model for iron status in a large U.S. cohort of women