Abstract

This study was conducted to explore if environmental factors co-occur in areas with high asthma rates in Head Start (HS) children. Descriptive. Convenience sample of 56 children with asthma enrolled in HS, ages 3-5years. Geographic Information Systems using ArcGIS 10.4 was used to geocode and map aggregated address data at the census tract level through vector map analysis. Location, race, economic status, pollution remediation sites, age of housing, and blood lead levels were assessed for areas with high asthma concentration. Most children with asthma resided in one census tract, which was 1% of the total service area. Fifty-six percent of housing was built before 1960 with only 10% after 1990, suggesting deteriorating conditions. Pollution remediation sites were found in the vicinity of asthma cases. Elevated lead levels were found in 22% of all HS children; specific values for the children with asthma were not available. Several co-occurring factors were identified. The need for proactive interventions to decrease asthma risk/poor asthma outcomes with HS is evident. GIS locates children with high susceptibility to asthma. This allows public health nurses to target interventions and educate and empower families about environmental exposures and asthma risk factors.

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