Abstract #301374

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JSM 2003 Abstract #301374
Activity Number: 91
Type: Contributed
Date/Time: Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor: Social Statistics Section
Abstract - #301374
Title: Spatial Analysis of Birthweight in North Carolina
Author(s): Sean E. Condon*+ and C. M. Suchindran
Companies: University of North Carolina, Chapel Hill and University of North Carolina, Chapel Hill
Address: 250 South Estes Dr., Chapel Hill, NC, 27514-4145,
Keywords: spatial correlation ; birth weight ; linear model ; mixed model
Abstract:

Spatial patterns of diseases have yielded insight into possible causes and provided hints for possible intervention strategies. Extreme birthweight is an important predictor of infant morbidity and mortality. The spatial distribution of variables known to affect birthweight, such as race, gestational age, and maternal smoking, may explain (cause) a spatial distribution of birthweight, and thus affect infant health. North Carolina birthweights from 1991 are examined for possible spatial trend or spatial correlation, assigning births to the county of maternal residence at time of birth. A linear model predicting birthweight is then fit, where errors are exponentially correlated with distance between county seats, and covariates are county average values drawn either from the birth certificate population or from North Carolina 1990 census data. As covariates enter the model, the significance of the spatial correlation disappears. Results from year 2000 data are compared.

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