Association between iron deficiency and blood lead level in a longitudinal analysis of children followed in an urban primary care clinic

J Pediatr. 2003 Jan;142(1):9-14. doi: 10.1067/mpd.2003.mpd0344.

Abstract

Objective: To determine if iron deficiency (ID) is longitudinally associated with lead poisoning.

Study design: Blood lead levels, hemoglobin, mean corpuscular volume (MCV), red cell distribution width (RDW), insurance status, and age were determined for 1,275 children. ID was defined as MCV <70 fl and RDW >14.5 if age was <2 years and MCV <73 fl and RDW >14.5 if age was >/=2 years. Logistic regression models were constructed by using the second-visit blood lead levels dichotomized at >/=0.48 microm/L (10 microg/dL) as the outcome.

Results: The odds ratio (OR) for baseline ID predicting lead poisoning at the second visit was 4.12 (95% CI, 1.96-8.65). In the second model, using children who were iron-replete at both visits as the referent group, for children with ID at both visits, the OR for predicting lead poisoning at the second visit was 5.54 (95% CI, 2.25-13.62). For children with ID at the first visit and iron-replete at the second visit, the OR was 2.73 (95% CI, 0.90-8.27), and for children iron-replete at the first visit and ID at the second visit, the OR was 0.81 (95% CI, 0.10-6.30).

Conclusions: ID is associated with subsequent lead poisoning. These data are consistent with a biological mechanism of increased lead absorption among iron deficient children.

Publication types

  • Comment
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Anemia, Iron-Deficiency / blood
  • Anemia, Iron-Deficiency / complications*
  • Anemia, Iron-Deficiency / epidemiology
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Infant
  • Lead / blood*
  • Lead Poisoning / blood
  • Lead Poisoning / complications*
  • Lead Poisoning / epidemiology
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Odds Ratio
  • Primary Health Care / statistics & numerical data
  • United States / epidemiology
  • Urban Population / statistics & numerical data

Substances

  • Lead