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Identifying High-Risk ZIP Codes for Childhood Lead Exposure: A Statewide ZCTA-Level Priority List for North Carolina
Rashida Callender1,2, Carolina Avendano3, Mercedes A Bravo1,4
1Children's Environmental Health Initiative, University of Illinois at Chicago.
Insights
Identifying high-risk ZIP codes for childhood lead exposure is crucial for early intervention. This study used census data to pinpoint areas in North Carolina needing targeted lead poisoning prevention efforts.
Area of Science:
- Environmental Health
- Pediatric Public Health
- Biostatistics
Background:
- Childhood lead exposure poses significant risks to neurological development, with no safe blood lead level (BLL) established.
- Despite prevention efforts, lead exposure remains a critical public health concern for children.
- Identifying high-risk areas is essential for effective public health interventions and resource allocation.
Purpose of the Study:
- To develop a predictive risk model for childhood lead exposure at the ZIP Code Tabulation Area (ZCTA) level in North Carolina.
- To identify high-risk ZIP codes to guide families and healthcare providers in targeted screening and prevention efforts.
Main Methods:
- Utilized blood lead level (BLL) testing data from North Carolina (2010-2015) and ZCTA-level census data on known lead exposure risk factors.
- Developed a multivariable regression model predicting ZCTA-level mean of log-normalized BLLs.
- Categorized ZCTAs into 20 priority risk quantiles for lead exposure.
Main Results:
- The study successfully categorized ZCTAs into 20 distinct risk categories.
- The first six quantiles were identified as particularly high-risk areas for childhood lead exposure in North Carolina.
Conclusions:
- ZCTA-level census data effectively identifies high-risk ZIP codes for childhood lead exposure.
- This data-driven approach facilitates timely testing for high-risk children and can be replicated nationally.
- The findings support targeted public health strategies to mitigate lead poisoning risks in vulnerable populations.
Background:
Research has consistently shown that there is no safe blood lead level (BLL) for children. Despite progress in lead poisoning prevention, lead exposure remains a persistent threat to the health and neurological development of children. To identify high-risk ZIP codes for use by families and health care providers for the entire state of North Carolina, we developed a risk model using ZIP Code Tabula-tion Area (ZCTA)-level census data.
Methods:
We obtained all available BLL testing data from the North Carolina Department of Health and Human Services for the years 2010-2015 via data use agreement. We fit a multivariable regression model with the ZCTA-level mean of log normalized BLLs as the de-pendent variable and ZCTA-level census data for known risk factors of childhood lead exposure as predictors. We used this model to create a priority risk categorization.
Results:
We organized ZCTAs into 20 quantiles, or priority risk categories, that can be used in local and statewide screening programs. The first six (of 20) quantiles were identified as particularly high-risk areas for childhood lead exposure.
Limitations:
Because BLL testing is not universal, the BLL testing data used in this study are likely biased toward those most at risk for lead exposure.
Conclusion:
This study demonstrates the utility of ZCTA-level census data in identifying high-risk ZIP codes for childhood lead exposure, which can be used to ensure that the highest-risk children are tested in a timely manner. This approach can be replicated to address lead exposure nationally.
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