Claire Margerison-Zilko1, Catherine Cubbin, Jina Jun, Kristen Marchi, Kathryn Fingar, Paula Braveman. 1. Claire Margerison-Zilko is with the Department of Epidemiology and Biostatistics, Michigan State University, East Lansing. Catherine Cubbin is with the School of Social Work and the Population Research Center, University of Texas, Austin. Jina Jun is with the Health Policy Research Department, Korea Institute for Health and Social Affairs, Seoul, Korea. Kristen Marchi, Kathryn Fingar, and Paula Braveman are with the Department of Family and Community Medicine, University of California, San Francisco.
Abstract
OBJECTIVES: We examined associations between longitudinal neighborhood poverty trajectories and preterm birth (PTB). METHODS: Using data from the Neighborhood Change Database (1970-2000) and the American Community Survey (2005-2009), we categorized longitudinal trajectories of poverty for California neighborhoods (i.e., census tracts). Birth data included 23 291 singleton California births from the Maternal and Infant Health Assessment (2003-2009). We estimated associations (adjusted for individual-level covariates) between PTB and longitudinal poverty trajectories and compared these to associations using traditional, cross-sectional measures of poverty. RESULTS: Compared to neighborhoods with long-term low poverty, those with long-term high poverty and those that experienced increasing poverty early in the study period had 41% and 37% increased odds of PTB (95% confidence interval [CI] = 1.18, 1.69 and 1.09, 1.72, respectively). High (compared with low) cross-sectional neighborhood poverty was not associated with PTB (odds ratio = 1.08; 95% CI = 0.91, 1.28). CONCLUSIONS: Neighborhood poverty histories may contribute to an understanding of perinatal health and should be considered in future research.
OBJECTIVES: We examined associations between longitudinal neighborhood poverty trajectories and preterm birth (PTB). METHODS: Using data from the Neighborhood Change Database (1970-2000) and the American Community Survey (2005-2009), we categorized longitudinal trajectories of poverty for California neighborhoods (i.e., census tracts). Birth data included 23 291 singleton California births from the Maternal and Infant Health Assessment (2003-2009). We estimated associations (adjusted for individual-level covariates) between PTB and longitudinal poverty trajectories and compared these to associations using traditional, cross-sectional measures of poverty. RESULTS: Compared to neighborhoods with long-term low poverty, those with long-term high poverty and those that experienced increasing poverty early in the study period had 41% and 37% increased odds of PTB (95% confidence interval [CI] = 1.18, 1.69 and 1.09, 1.72, respectively). High (compared with low) cross-sectional neighborhood poverty was not associated with PTB (odds ratio = 1.08; 95% CI = 0.91, 1.28). CONCLUSIONS: Neighborhood poverty histories may contribute to an understanding of perinatal health and should be considered in future research.
Authors: Michael R Kramer; Hannah L Cooper; Carolyn D Drews-Botsch; Lance A Waller; Carol R Hogue Journal: Soc Sci Med Date: 2010-09-29 Impact factor: 4.634
Authors: Patricia O'Campo; Jessica G Burke; Jennifer Culhane; Irma T Elo; Janet Eyster; Claudia Holzman; Lynne C Messer; Jay S Kaufman; Barbara A Laraia Journal: Am J Epidemiol Date: 2007-11-07 Impact factor: 4.897
Authors: Connor M Sheehan; Phillip A Cantu; Daniel A Powers; Claire E Margerison-Zilko; Catherine Cubbin Journal: Health Place Date: 2017-05-09 Impact factor: 4.078
Authors: Dana E Goin; Anu M Gomez; Kriszta Farkas; Scott C Zimmerman; Ellicott C Matthay; Jennifer Ahern Journal: Epidemiology Date: 2019-09 Impact factor: 4.822
Authors: Michael R Kramer; Eric B Schneider; Jennifer B Kane; Claire Margerison-Zilko; Jessica Jones-Smith; Katherine King; Pamela Davis-Kean; Joseph G Grzywacz Journal: Popul Res Policy Rev Date: 2017-03-28