141st APHA Annual Meeting

In This section

286299
Neighborhood poverty and preterm birth revisited: Comparing cross-sectional measures to longitudinal poverty trajectories

Monday, November 4, 2013 : 10:50 AM - 11:10 AM

Claire Margerison-Zilko, PhD , Center for Social Work Research; Population Research Center, University of Texas at Austin, Austin, TX
Catherine Cubbin, PhD , School of Social Work, University of Texas at Austin, Austin, TX
Jina Jun, MA , School of Social Work, University of Texas, Austin, TX
Kristen Marchi, MPH , Family and Community Medicine, University of California, San Francisco, San Francisco, CA
Kathryn R. Martin, MPH, PhD , Maternal, Child and Adolescent Health Division, California Department of Public Health, Sacramento, CA
Michael P. Curtis, PhD , Maternal, Child and Adolescent Health Division, California Department of Public Health, Sacramento, CA
Paula Braveman, MD, MPH , Department of Community and Family Medicine, University of California, San Francisco, San Francisco, CA
Background. Neighborhood poverty is associated with increased risk of preterm birth (PTB); however, most of this research uses cross-sectional measures of neighborhood poverty. We hypothesize that the longitudinal poverty experience of a neighborhood may influence factors important to perinatal health such as psychosocial stress or access to health-promoting resources. Our objective was to compare the associations between neighborhood poverty and PTB using both cross-sectional and longitudinal measures of poverty.

Methods. We categorized California neighborhoods (i.e., census tracts) as having low (<5% poor), moderate (5-20% poor), or high (>20% poor) cross-sectional poverty based on data from the American Community Survey 2005-2009 (ACS). We then estimated longitudinal poverty trajectories from 1970-2009 using data from the ACS and the Neighborhood Change Database using three methods: a priori categorization, latent class growth modeling, and non-parametric clustering. We used logistic regression to estimate associations between neighborhood poverty measures and PTB for 24,394 women in the Maternal and Infant Health Assessment who gave birth between 2003-2009.

Results. High (compared to low) neighborhood poverty based on cross-sectional data was not associated with PTB after adjustment for individual-level demographic and socioeconomic factors (OR=1.03, 95% CI=0.88,1.21) . However, trajectories characterized by long-term high (compared to long-term low) neighborhood poverty were associated with 30-40 percent increases in odds of PTB in fully adjusted models (e.g., OR=1.39, 95% CI=1.17, 1.64), regardless of method used to estimate trajectories.

Conclusions. The longitudinal poverty experience of neighborhoods may be more strongly associated with factors influencing birth outcomes compared to cross-sectional measures of poverty.

Learning Areas:
Epidemiology
Social and behavioral sciences

Learning Objectives:
Compare methods for assessing longitudinal trajectories of neighborhood poverty. Examine associations between neighborhood poverty (measured using both cross-sectional and longitudinal data) and preterm birth. Discuss the potential implications of using longitudinal data to measure trajectories of neighborhood poverty with respect to birth outcomes.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have a PhD in epidemiology and have been studying neighborhood characteristics and health for five years as a doctoral student and post-doc.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.