Predictors of elevated blood lead levels among 3-year-old Ukrainian children: a nested case-control study.
OBJECTIVE
Lead is common in the general population. However, data are lacking for the Ukraine and many other countries from the former Soviet Union (FSU). In this study we evaluate the level of blood lead among 212 Ukrainian children and determine predictors of elevated lead levels. We also describe the health effects associated with elevated blood lead.


METHODS
A nested case-control study from a prospective cohort of Ukrainian 3-year-old children was conducted in March 1998. Blood assays were analyzed for lead by labs at the Centers for Disease Control and using portable examination kits. We evaluated predictors of elevated blood lead (blood levels in the upper quartile >4.65 microg/dL) using a multivariable logistic regression model. The model included socioeconomic status, parent occupation, environmental tobacco smoke, hygiene, diet, and health status.


RESULTS
The geometric mean lead level was 3.15 microg/dL (range, 0.7--22.7). In our adjusted model, we observed a strong association between lead levels in the upper quartile and children whose fathers worked manual labor jobs in industries associated with lead exposures [adjusted odds ratio (OR)=2.25; P=0.025] and mothers who smoke indoors (adjusted OR=2.87; P=0.047). Daily hygiene and dietary habits were not associated with elevated lead levels. No increased risks of overall morbidity or lead-associated illness were observed (anemia, dental caries, renal disease, cardiovascular diseases, and musculoskeletal complaints).


CONCLUSIONS
This is the first study to describe lead levels and associated variables among Ukrainian children in the peer-reviewed literature. Elevated lead levels in these children were associated with paternal occupation and mothers smoking indoors. At age 3 no adverse health effects were observed. More data are needed to determine the level of heavy metal contamination in children from the Ukraine and many other former Soviet nation-states.
Friedman
L S
LS
University of Illinois, School of Public Health, Division of Environmental and Occupational Health Sciences, Chicago, IL 60612, USA. spri@sbcglobal.net
Lukyanova
O M
OM
Kundiev
Y I
YI
Shkiryak-Nizhnyk
Z A
ZA
Chislovska
N V
NV
Mucha
A
A
Zvinchuk
A V
AV
Oliynyk
I
I
Hryhorczuk
D
D
D000328:Adult; D016902:Air Pollution, Indoor; D016022:Case-Control Studies; D002648:Child; D002947:Cities; D004522:Educational Status; D004781:Environmental Exposure / Q000517:prevention & control; D004784:Environmental Monitoring; D005260:Female; D006798:Housing; D006801:Humans; D007221:Industry; D007854:Lead / Q000097:blood*; D008297:Male; D009035:Mothers; D016273:Occupational Exposure; D018812:Paternal Exposure; D012307:Risk Factors; D011795:Surveys and Questionnaires; D014028:Tobacco Smoke Pollution; D014455:Ukraine
D014028:Tobacco Smoke Pollution; D007854:Lead