Rurality and Risk of Perinatal Depression Among Women in the United States

J Rural Health. 2020 Jan;36(1):9-16. doi: 10.1111/jrh.12401. Epub 2019 Oct 11.

Abstract

Objective: Rural populations may experience more frequent and intense risk factors for perinatal depression than their urban counterparts. However, research has yet to examine rural versus urban differences in a population-based study in the United States. Therefore, this study examined differences in risk of perinatal depression between women living in rural versus urban areas in the United States.

Method: Using 2016 data from the Pregnancy Risk Assessment Monitoring System, we examined the association between rural-urban status and the risk of depression during the perinatal time period. The total analytical sample included 17,229 women from 14 states. The association between rural-urban status and risk of perinatal depression was estimated using logistic regression, adjusting for race/ethnicity, maternal age, and state of residence. A second model adjusted for maternal education, health insurance status, and Women, Infants, and Children Special Supplemental Nutrition Program (WIC).

Results: Odds of perinatal depression risk were higher by 21% among rural versus urban women (OR = 1.21, 95% CI: 1.05-1.41) adjusted for race, ethnicity, and maternal age. This risk difference became smaller and not significant when adding maternal education, health insurance coverage, and WIC participation.

Conclusion: Findings suggest a rural-urban inequality in perinatal depression risk. Reducing this inequality may require improving socioeconomic conditions and reducing associated risk factors among rural women.

Keywords: PRAMS; health disparities; maternal health; perinatal depression; rural.

MeSH terms

  • Adolescent
  • Adult
  • Centers for Disease Control and Prevention, U.S. / organization & administration
  • Centers for Disease Control and Prevention, U.S. / statistics & numerical data
  • Chi-Square Distribution
  • Depression / diagnosis*
  • Depression / epidemiology
  • Depression / psychology
  • Educational Status
  • Female
  • Geographic Mapping
  • Humans
  • Logistic Models
  • Population Surveillance / methods
  • Pregnancy
  • Risk Factors
  • Rural Population / statistics & numerical data*
  • Socioeconomic Factors
  • United States / epidemiology