PEDIATRICS Vol. 106 No. 5 November 2000, p. e69
Received Dec 8, 1999; accepted Jun 6, 2000.
,
From the * Cuyahoga County Board of Health;
Division of
General Academic Pediatrics, Rainbow Babies and Childrens Hospital;
§ Department of General Internal Medicine, the Cleveland Clinic
Foundation; and the
I H Page Center for Health Outcomes Research,
the Cleveland Clinic Foundation, Cleveland, Ohio.
Objective. Annual blood lead (BPb)
screening is recommended for children
2 years of age residing in
high-risk areas. Strategies for identifying these areas exist but lack
specificity. We sought to develop an efficient method for identifying
risk factors for undue lead exposure in children by using community
variables.
Design. Logistic regression for model development in one half of the sample followed by validation of the model in the remaining half.
Methods. The association between selected census tract
characteristics from 19 Ohio counties and the BPb test results of
children living in those census tracts was evaluated. The dependent
variable, high-risk status, was defined as a census tract with
12%
of BPb test results
10 µg/dL.
Results. Data from 897 census tracts were available.
Higher risk for lead toxicity existed in areas where: 1)
55% of
houses were built before 1950 (adjusted odds ratio [AOR]: 10.9 [6.1,19.6]); 2)
35% of residents were black (AOR: 3.5 [2.0,6.3]); 3)
35% of residents had less than a high school
education (AOR: 6.1 [3.6,10.4]); and 4)
50% of housing units were
renter-occupied (AOR: 3.6 [2.1,6.2]). Receiver operator
characteristic (ROC) curves demonstrated no significant differences
after applying the model in a second dataset.
Conclusions. Several community characteristics predict risk for lead toxicity in children and may provide a useful approach to focus lead screening, especially in communities where public health resources are limited. The approach described here may also prove helpful in identifying factors within a community associated with other environmental public health hazards for children. Key words: lead screening, predictive index, public health, environmental health.
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