Literature DB >> 22458317

Birth outcomes across three rural-urban typologies in the Finger Lakes region of New York.

Kelly L Strutz1, Ann M Dozier, Edwin van Wijngaarden, J Christopher Glantz.   

Abstract

PURPOSE: The study is a descriptive, population-based analysis of birth outcomes in the New York State Finger Lakes region designed to determine whether perinatal outcomes differed across 3 rural typologies.
METHODS: Hospital birth data for the Finger Lakes region from 2006 to 2007 were used to identify births classified as low birthweight (LBW), small for gestational age (SGA), and preterm delivery (PTD). Maternal residences were defined using 3 existing ZIP code-level rural-urban typologies: Census Bureau ZIP codes, Rural-Urban Commuting Area codes, and Primary Service Areas. Within each typology, rural maternal characteristics and birth outcomes were compared to those in urban areas using multivariable logistic regression models.
FINDINGS: In bivariate analyses, rurality was associated with LBW and SGA for all typologies, whereas PTD was associated with residence in the Census Bureau typology only. After controlling for demographic characteristics, births to mothers in the most rural level of the Census Bureau typology and to all rural mothers in the Rural-Urban Commuting Area (RUCA) and Primary Service Area typologies were more likely to be LBW and PTD. SGA was not consistently associated with residence across typologies.
CONCLUSIONS: The typologies produced similar results for these outcomes, although effects were of greater magnitude in the RUCA and Primary Service Area typologies than in the Census Bureau typology. Comparison across typologies can have practical implications for researchers and policy makers interested in understanding the dynamics of rurality and birth outcomes in their regions.
© 2011 National Rural Health Association.

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Year:  2011        PMID: 22458317      PMCID: PMC3337719          DOI: 10.1111/j.1748-0361.2011.00392.x

Source DB:  PubMed          Journal:  J Rural Health        ISSN: 0890-765X            Impact factor:   4.333


  37 in total

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