Estimating Neighbourhood-Level Socio-Economic Effect on Preterm Births Using a Multilevel Approach: A Case Study in Georgia, USA
作者： Wei Tu , Jun Tu , Stuart Tedders
DOI: 10.1080/19475683.2014.945483
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摘要: This study investigates the contextual effect of neighbourhood socio-economic status (SES) on risk preterm birth (PTB) using multilevel models. Birth data retrieved from 2000 Georgia Vital Records were geocoded and joined to their respective census tracts. The tract level Index Deprivation (IoD) was calculated nine Census variables based a previously proposed ‘standard’ index. Two-level random intercept regression models developed 117,329 live singleton births at individual 1618 tracts level. After adjustment for individual-level factors, IoD generated an odds ratio 1.006 (95% CI 1.00–1.01), showing modest but significant PTB. Intra-class correlation (ICC) 0.83% after adjusting factors IoD. A wide IOR-80% interval (0.74–1.36) suggests large unexplained residual in between variation remained. median (MOR) value 1.17 reveale...
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