Causes of lead toxicity in a Nigerian city

Arch Dis Child. 2005 Mar;90(3):262-6. doi: 10.1136/adc.2003.043562.

Abstract

Background: Up to 70% of young Nigerian children have been reported to have blood lead concentrations > or =10 microg/dl.

Aims: To better elucidate risk factors for lead toxicity among Nigerian families with children at risk for lead toxicity.

Methods: Two geographic wards in Jos, Nigeria were selected for study, one previously reported to have a high mean blood lead level (37 (SD 13) microg/dl) and one with a lower mean blood lead level (17 (SD 10) microg/dl) in young children. Data pertaining to potential risk factors for lead exposure were collected from children and adults in 34 households.

Results: The mean (SD) blood lead concentration of 275 subjects, aged 3 weeks to 90 years, was 8.7 (5.7) microg/dl (range 1-34 microg/dl); 92 (34%) had concentrations > or =10 microg/dl. In multivariate analysis, an age of 5 years and under, flaking house paint, residence near a gasoline seller, male gender, increasing maternal and paternal education, and use of a lead ore eye cosmetic were independently associated with greater blood lead concentration. Vehicle ownership was associated with reduced lead concentration. Compared with the low-lead ward, residence in the high-lead ward remained significantly associated with greater lead values, indicating that additional factors likely contribute to lead exposure.

Conclusion: Although the cause of increased lead levels in Jos appears to be multi-factorial, several remediable sources contribute to lead exposure in Nigeria.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Child
  • Female
  • Housing / statistics & numerical data
  • Humans
  • Infant, Newborn
  • Lead Poisoning / epidemiology
  • Lead Poisoning / etiology*
  • Male
  • Middle Aged
  • Nigeria / epidemiology
  • Paint / adverse effects
  • Pica / epidemiology
  • Regression Analysis
  • Risk Factors
  • Urban Health
  • Water Supply / analysis