Residential segregation and prenatal depression in a non-Hispanic Black and Hispanic cohort in North Carolina.

Ann Epidemiol

Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Published: July 2023

Purpose: Investigate residential segregation and prenatal depression in a non-Hispanic (NH) Black and Hispanic North Carolina pregnancy cohort.

Methods: Demographics, prenatal depression (Center for Epidemiological Studies Depression scale ≥16), and residence from the 2006-2009 Newborn Epigenetic Survey were linked to Census-tract levels of racial and economic segregation (Index of Concentration at the Extremes) from the American Community Survey 2005-2009 5-year estimates. Adjusted prevalence ratios (aPR) for prenatal depression compared living in Index of Concentration at the Extremes tertiles 1 and 2 (higher proportion NH Black or Hispanic and/or low income) to 3 (higher proportion NH white and/or high-income), accounting for neighborhood clustering, age, education, employment, parity, and marital status.

Results: Among the 773 survey participants (482 NH Black and 291 Hispanic), 35.7% and 27.2% of NH Black and Hispanic participants had prenatal depression, respectively. For NH Black participants, depression prevalence was 17% lower for tertile 1 versus 3 for the NH Black/white (aPR=0.83; 95% CI=0.62-1.10), low/high income (aPR=0.83; 95% CI=0.62-1.11), and low-income NH Black/high-income NH white (aPR=0.82; 95% CI=0.61-1.09) measures. For Hispanic participants, estimates were weaker in the opposite direction for the Hispanic/NH white (aPR=1.02; 95% CI=0.71-1.47), low/high income (aPr=1.14; (95% CI=0.76-1.69), and low-income Hispanic/high-income NH white (aPR=1.12; 95% CI=0.78-1.60) measures.

Conclusions: Residential segregation's impact on prenatal depression may differ by race/ethnicity and level of segregation, but findings are imprecise due to small sample sizes. Longitudinal research spanning greater geographic areas is needed.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10330406PMC
http://dx.doi.org/10.1016/j.annepidem.2023.04.015DOI Listing

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