title: Estimating the burden of disease attributable to lead exposure in South Africa in 2000.
abstract: OBJECTIVE
  To estimate the burden of disease attributable to lead exposure in South Africa in 2000.
  
  
  METHODS
  World Health Organization comparative risk assessment (CRA) methodology was followed. Recent community studies were used to derive mean blood lead concentrations in adults and children in urban and rural areas. Population-attributable fractions were calculated and applied to revised burden of disease estimates for the relevant disease categories for South Africa in the year 2000. Monte Carlo simulation-modelling techniques were used for the uncertainty analysis.
  
  
  METHODS
  South Africa.
  
  
  METHODS
  Children under 5 and adults 30 years and older.
  
  
  METHODS
  Cardiovascular mortality and disability-adjusted life years (DALYs) in adults 30 years and older and mild mental disability DALYs in children under 5 years.
  
  
  RESULTS
  Lead exposure was estimated to cause 1,428 deaths (95% uncertainty interval 1,086-1,772) or 0.27% (95% uncertainty interval: 0.21 - 0.34%) of all deaths in South Africa in 2000. Burden of disease attributed to lead exposure was dominated by mild mental disability in young children, accounting for 75% of the total 58,939 (95% uncertainty interval 55,413 - 62,500) attributable DALYs. Cardiovascular disease in adults accounted for the remainder of the burden.
  
  
  CONCLUSIONS
  Even with the phasing out of leaded petrol, exposure to lead from its ongoing addition to paint, para-occupational exposure and its use in backyard 'cottage industries' will continue to be an important public health hazard in South Africa for decades. Young children, especially those from disadvantaged communities, remain particularly vulnerable to lead exposure and poisoning.
authors.affiliation: Burden of Disease Research Unit, South African Medical Research Council, Tygerberg, Cape Town. rosana.norman@mrc.ac.za
authors.forename: Rosana
authors.initials: R
authors.lastname: Norman
authors.forename: Angela
authors.initials: A
authors.lastname: Mathee
authors.forename: Brendon
authors.initials: B
authors.lastname: Barnes
authors.forename: Lize
authors.initials: L
authors.lastname: van der Merwe
authors.forename: Debbie
authors.initials: D
authors.lastname: Bradshaw
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D002318:Cardiovascular Diseases / Q000097:blood / Q000139:chemically induced / Q000453:epidemiology*; D002648:Child; D002675:Child, Preschool; D017281:Cost of Illness; D004781:Environmental Exposure / Q000009:adverse effects*; D005260:Female; D006801:Humans; D007223:Infant; D007360:Intelligence; D007854:Lead / Q000009:adverse effects* / Q000097:blood; D008297:Male; D001523:Mental Disorders / Q000097:blood / Q000139:chemically induced / Q000453:epidemiology*; D012307:Risk Factors; D013019:South Africa / Q000453:epidemiology
chemical_list: D007854:Lead