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Socioeconomic Status Accounts for Rapidly Increasing Geographic Variation in the Incidence of Poor Fetal Growth

This study assessed the temporal stability of spatial patterns in the incidence of preterm and small-for-gestational-age (SGA) in regional Western Australia,...

Authors:
Ball SJ, Pereira G

Authors notes:
Applied Geography. 2013;41:116-123

Keywords:
Conditional autoregression, Poor fetal growth, Socioeconomic status, Spatial variation

Abstract:
This study assessed the temporal stability of spatial patterns in the incidence of preterm and small-for-gestational-age (SGA) in regional Western Australia, from 1987 to 2006.

We observed that spatial patterns were consistent over time.

We demonstrated weak temporal autocorrelation and little evidence of anomalous years in the spatial patterns of preterm and SGA.

Whereas the mean 20-year probability of preterm was 0.057 and the mean probability of SGA was 0.051, areas in the north of Western Australia had probabilities of 0.090 or more for both outcomes.

Four areas in the far north of Western Australia were above the 90th centile of preterm for at least 14 of the 20 years, and above the 90th centile of SGA for at least 15 years.

The consistency of spatial patterns over time and between birth outcomes strengthens the case for targeting high risk areas for improved outcomes.

This study demonstrates how, even in the absence of a spatio-temporal interaction, incorporating the temporal dimension adds value to the spatial analysis of health data.